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The Sentinel-1 Global Backscatter Model (S1GBM) - Polar Extension
No full text<p>This dataset was generated by the Remote Sensing Group of the <a href="https://www.geo.tuwien.ac.at">TU Wien Department of Geodesy and Geoinformation</a> (<a href="https://mrs.geo.tuwien.ac.at/">https://mrs.geo.tuwien.ac.at/</a>), within a dedicated project by the European Space Agency (ESA). Rights are reserved with ESA. Open use is granted under the <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0 license</a>.</p><p>With the recently published <a href="https://doi.org/10.48436/n2d1v-gqb91">Sentinel-1 Global Backscatter Model (S1GBM) Version 1.0</a>, we provide a new perspective on Earth's land surface through normalised microwave backscatter maps from Sentinel-1's Synthetic Aperture Radar (SAR) observations. </p><p>This<strong> first extension of the S1GBM</strong>, V1.1, providing an additional set of normalised mosaics covering the <strong>northern </strong>and <strong>southern polar zones</strong> and <strong>sea ice regions</strong>. V1.1 ingests Medium-resolution data (GRDM) from Sentinel 1's Extra Wide (EW) swath mode in HV- and HH-polarisation, at a pixel sampling of 40m. To reflect cold and warm conditions in the high latitudes, and in particular to capture the varying snow pack extents along Greenland's coastline, data collections are set to the months <strong>January </strong>and <strong>July </strong>of the period 2016-17, respectively. Processing, normalisation- and mosaicking methods, and publication terms follow with minor adaptions the existing V1.0 dataset publication.</p><p>We invite developers from the broader user community to exploit this novel data resource and to integrate S1GBM parameters in models for various variables of land cover, soil composition, or vegetation structure.</p><p>Please be referred to our <a href="https://www.nature.com/articles/s41597-021-01059-7">peer-reviewed article at Nature Scientific Data</a> for details, generation methods, and an in-depth dataset analysis. In this publication, we demonstrate – as an example of the S1GBM's potential use – the mapping of permanent water bodies and evaluate the results against the Global Surface Water (GSW) benchmark.</p><h2>Dataset Record</h2><p>The HH and HV mosaics are sampled at 40 m pixel spacing, georeferenced to the <a href="https://github.com/TUW-GEO/Equi7Grid">Equi7Grid</a> and divided into six continental zones (Antarctica, Asia, Europe, North America, Oceania, South America), which are further divided into square tiles of 300 km extent ("T3"-tiles). With this setup, the S1GBM consists of about 2000 tiles over six continents, for HH and HV each, totaling to a compressed data volume of about 140 TB.<br><br>Please not that the collections for July over Antarctica suffer from a small number of tile-gaps.</p><p>The tiles' file-format is a LZW-compressed GeoTIFF holding 16-bit integer values, with tagged metadata on encoding and georeference. Compatibility with common geographic information systems as QGIS or ArcGIS, and geodata libraries as GDAL is given.</p><p>In this repository, we provide each mosaic as tiles that are organised in a folder structure per continent. With this, 24 zipped dataset-collections per continent per January and July are available for download.</p><h2>Web-Based Data Viewer</h2><p>In addition to this data provision here, there is a web-based data viewer set up at the facilities of the Earth Observation Data Centre (<a href="https://eodc.eu/">EODC</a>) under <a href="http://s1map.eodc.eu/">http://s1map.eodc.eu/</a>. It offers an intuitive pan-and-zoom exploration of the full S1GBM VV and VH mosaics. It has been designed to quickly browse the S1GBM, providing an easy and direct visual impression of the mosaics.</p><h2>Code Availability</h2><p>We encourage users to use the open-source Python package yeoda, a datacube storage access layer that offers functions to read, write, search, filter, split and load data from the S1GBM datacube. The yeoda package is openly accessible on GitHub at <a href="https://github.com/TUW-GEO/yeoda">https://github.com/TUW-GEO/yeoda</a>.</p><p>Furthermore, for the usage of the Equi7Grid we provide data and tools via the python package available on GitHub at <a href="https://github.com/TUW-GEO/Equi7Grid">https://github.com/TUW-GEO/Equi7Grid</a>. More details on the grid reference can be found in <a href="https://www.sciencedirect.com/science/article/pii/S0098300414001629">https://www.sciencedirect.com/science/article/pii/S0098300414001629</a>.</p><h2>Acknowledgements</h2><p>This study was partly funded by the project "Development of a Global Sentinel-1 Land Surface Backscatter Model", ESA Contract No. 4000122681/17/NL/MP for the European Union Copernicus Programme. The computational results presented have been achieved using the Vienna Scientific Cluster (VSC). We further would like to thank our colleagues at TU Wien and EODC for supporting us on technical tasks to cope with such a large and complex data set. Last but not least, we appreciate the kind assistance and swift support of the colleagues from the TU Wien Center for Research Data Management.</p>
Zeelim fan, Israel (part)
No full text<p>Part of the Dead Sea (Israeli) shorline airborne scan, 2013. Focus on the Ze'elim fan, Sinkhole Field #IV. Resolution approx. 8 pts/m2</p>
Interactive Virtual Roundtable for EU Project CO-VERSATILE, 2/4
No full text<p>Topic of the<strong> 2nd VRT:</strong> Gender and Intersectionality – Theories, tools and benefits within the context of the Co-Versatile project.</p><p>The aim was to raise awareness and foster an environment that encourages continuing education activity related to ethical, legal and social responsibility aspects. Additionally, to reinforce the adoption/relation of the "Sustainable Development Goals (focus on Goal 5 - UN-SDGs #5: Gender equality) with the CO-VERSATILE project, by:</p><ul><li>A brief overview of the definition/basics of gender and gender equality</li><li>The introduction to the concept of Gender Equality Plans (GEP)</li><li>What does "Gender in Research" and in manufacturing settings related to research mean?</li><li>A general overview of the Gender Equality in Academia and Research (GEAR) toolset</li><li>Analysis and exploration of the possible impact of the COVERSATILE project on different UN SDGs.</li></ul><h3>Project context</h3><p>A series of four Interactive Virtual Roundtables (VRTs) was organised within the <a href="https://co-versatile.eu/">CO-VERSATILE project</a>. A VRT is an activity and space developed to raise awareness, foster knowledge transfer, generate conceptual alignment, and initiate the adoption of corrective measures whenever there is a demand or a need.</p><ul><li><strong>1st VRT:</strong> Legal and Ethical issues</li><li><strong>2nd VRT:</strong> Gender and Intersectionality – Theories, tools and benefits within the context of the Co-Versatile project.</li><li><strong>3rd VRT:</strong> Intellectual Property – Data usage agreement, ownership of data and discoverability, visibility and re-use of project outcomes</li><li><strong>4th VRT:</strong> About Results Ownership List (ROL)</li></ul><p>Furthermore, the VRTs also opened space for:</p><ul><li>Indication of relevant/supportive documents (i.e. <a href="https://eige.europa.eu/gender-mainstreaming/toolkits/gear">GEAR – Gender Equality in Academia and Research</a>)</li><li>Collection of partners' testimonials presented in the 1st VRT (i.e. WP2 – Build, Measure and Learn and WP5 - Communication & dissemination activities)</li><li>Conducting internal surveys (to monitor and collect data)</li><li>Development of auxiliary documents for the consortium members' use, such as dossiers, templates and deliverables.</li></ul>
Interactive Virtual Roundtable for EU Project CO-VERSATILE, 3/4
No full text<p>Topic of the<strong> 3rd VRT</strong>: Intellectual property/data usage agreement, ownership of data and discoverability, visibility and re-use of project outcomes.</p><p>The aim was to raise awareness and promote an environment that would encourage the discussion and production of a Results Ownership List - ROL and address ethical, legal and intellectual property aspects. Discussed topics:</p><ul><li>Definition of the ROL</li><li>Data aspects in the Digital Technopole</li><li>FAIR for Industry</li><li>Guided discussion with focus on discoverability, visibility and re-use of project outcomes (FAIRification); intellectual property/data usage agreement; ownership of data/services; user concept and ROL</li></ul><h3>Project context</h3><p>A series of four Interactive Virtual Roundtables (VRTs) was organised within the <a href="https://co-versatile.eu/">CO-VERSATILE project</a>. A VRT is an activity and space developed to raise awareness, foster knowledge transfer, generate conceptual alignment, and initiate the adoption of corrective measures whenever there is a demand or a need.</p><ul><li><strong>1st VRT:</strong> Legal and Ethical issues</li><li><strong>2nd VRT:</strong> Gender and Intersectionality – Theories, tools and benefits within the context of the Co-Versatile project.</li><li><strong>3rd VRT:</strong> Intellectual Property – Data usage agreement, ownership of data and discoverability, visibility and re-use of project outcomes</li><li><strong>4th VRT:</strong> About Results Ownership List (ROL)</li></ul><p>Furthermore, the VRTs also opened space for:</p><ul><li>Indication of relevant/supportive documents (i.e. <a href="https://eige.europa.eu/gender-mainstreaming/toolkits/gear">GEAR – Gender Equality in Academia and Research</a>)</li><li>Collection of partners' testimonials presented in the 1st VRT (i.e. WP2 – Build, Measure and Learn and WP5 - Communication & dissemination activities)</li><li>Conducting internal surveys (to monitor and collect data)</li><li>Development of auxiliary documents for the consortium members' use, such as dossiers, templates and deliverables.</li></ul>
Coaching and mentoring – intermediate results
No full text<p>The Deliverable 3.6 shows the intermediate results achieved in the first eight months of activities of the two tasks with a specific reference to the project Manufacturing Settings. In fact, for each Manufacturing Setting a preliminary Market analysis, disclosure on the Certification paths to be followed and indications about the identified Business model are given whether mature enough. </p>
ORCAS-I
No full text<p>ORCAS-I is an annotated version of <a href="https://microsoft.github.io/msmarco/ORCAS.html">ORCAS dataset</a> (Craswell et al., 2020) annotated with user intents using weak supervision. It allows you to train your algorithm on various types of user intents. Those intents are initially taken from Broder's (2002) classification: informational, navigational and transactional. We also refined this classification and added two subcategories inside the informational category: factual and instrumental. If the intent did not get any label inside the informational category it was classified as abstain.<br> </p><p><strong>ORCAS-I</strong> consists of the following files:</p><h2>a) ORCAS-I-18M.tsv</h2><p>A complete ORCAS data set which contains 18 million unique query-urls pairs.</p><blockquote><p>dataset size: 18,823,602<br>unique queries: 10,405,339<br>unique URLs: 1,422,029<br>unique domains: 241,199</p></blockquote><p> </p><h2>b) ORCAS-I-2M.tsv</h2><p>A 2M subset of ORCAS-I-18M.tsv that we used for our experiments with different machine learning algorithms.</p><blockquote><p>dataset size: 2,000,000<br>unique queries: 1,796,652<br>unique URLs: 618,679<br>unique domains: 126,001</p></blockquote><p><br>Both ORCAS-I-18M and ORCAS-I-2M contain the following columns:</p><ol><li><i><strong>qid</strong></i>: the id of the query</li><li><i><strong>query</strong></i>: the text of the query</li><li><i><strong>url</strong></i>: the url that the user clicked</li><li><i><strong>did</strong></i>: the document from <a href="https://microsoft.github.io/msmarco/TREC-Deep-Learning-2020.html">TREC deep learning track</a> that the url leads to</li><li><i><strong>level_1</strong></i>: first level of annotation which has three top level categories: informational, navigational and transactional</li><li><i><strong>level_2</strong></i>: second level of annotation (only classifies according to factual and instrumental categories, so all the other intents in the column are classified as abstain)</li><li><i><strong>label</strong></i>: final intent label. Provides the annotation for informational, navigational and transactional categories and also for factual, instrumental and abstain subcategories</li><li><i><strong>data_split</strong></i>: either 'train' or 'validation' that corresponds to split used during the original experiments</li></ol><p>You can train your classifier either on the 3 top level categories (column '<i>level_1'</i>) or on the full taxonomy (column '<i>label</i>').</p><p> </p><h2>c) ORCAS-I-gold.tsv</h2><p>This is a test file that contains 1000 randomly selected queries from the full dataset (they are excluded from the 2M sample). These queries were manually annotated by two IR specialists. </p><blockquote><p>dataset size: 1,000<br>unique queries: 1,000<br>unique URLs: 995<br>unique domains: 700</p></blockquote><p>ORCAS-I-gold contains the following columns:</p><ol><li><i><strong>qid</strong></i>: the id of the query</li><li><i><strong>query</strong></i>: the text of the query</li><li><i><strong>url</strong></i>: the url that the user clicked</li><li><i><strong>did</strong></i>: the document from <a href="https://microsoft.github.io/msmarco/TREC-Deep-Learning-2020.html">TREC deep learning track</a> that the url leads to</li><li><i><strong>label_manual</strong></i> - manually annotated intent</li><li><i><strong>data_split</strong></i>: always equal to 'test'</li></ol>
Manufacturing Settings Technical Demo files for CO-VERSATILE Project
No full text<p>PLEASE DOWNLOAD AND OPEN .PDF FILES WITH Adobe Acrobat Reader (free) to enable 3D content</p><p>Allow all permissions and trust document dialogue boxes to enable 3D interactive windows</p><p>MS 1,2,3: training manual for re-useable silicone mask production (PDF)</p><ol><li>For MS 1,2,3 a manual of operation in 3DPDF format has been developed to be supplied alongside the moulding machine and is aimed at supporting employees of the companies who will be using mask-producing machines. Leibniz Universität Hannover has been collaborating with HSSMI towards the development of a 3DPDF e-manual that includes information on both the mask and the moulding process. Although the e-manual is ready, its current form reflects the maturity level of the reusable silicone mask. The design drawings of the serial mask are expected to be finalised in July 2022 by ML Engraving, SKM Aeronautics and ORP STAMPI SRL which will then require the MS 1-2-3 training manual to be updated by HSSMI with the new image of the mask.</li></ol><p>MS 4: training manual for the electrostatic disinfectant spray (PDF) and the video of the model of the disinfectant spray in real engine with instructions (mp4)</p><ol><li>For MS 4, with the aim to support the end user of the spraying device, three different outputs have been developed:</li><li>a digital user guide in a 3DPDF format on how to operate the disinfectant spraying equipment.</li><li>a video created using a gaming engine for a better visualisation of the spraying device's features and functionality, and instructions on how to operate it (developed again under the coordination of HSSMI)</li><li>The 3DPDF dataset has been imported into the SPACE1 environment from ENG and specific training sessions for MS4 have been built. The tool allows to enhance the support given to the operator exploiting SPACE1 functionalities: (i) the "Extended Collaboration" feature displays online colleagues/technicians which can provide real-time support to the operator; (ii) the "Work Orders" feature supports the operator carrying out spraying system maintenance tasks by digital instructions; (iii) the "Knowledge Repository" allows to find a knowledge item and access the related data to learn or find information the operator needs; (iv) "Search Asset" allows to capture an asset or scan a barcode of the object that needs maintenance to display additional data and information;</li></ol><p>MS 5: medical ventilator assembly guide (PDF)</p><ol><li>For MS 5, the training package includes an operator training manual in 3DPDF to aid scaling up the production of DEMCON medical ventilators according to the market demand. A very comprehensive work instructions manual and the CAD of the ventilator have been provided by DEMCON, and HSSMI created the instruction showing the ventilator assembly process from start to finish on a high level, focussing on the most critical job steps identified by DEMCON to become a part of the 3DPDF manual.</li></ol><p>MS 6: instructions manual of the face mask-making machine (PDF) and the face mask-making machine model in a gaming engine (Unreal Engine) (exe)</p><ol><li>The training package for MS 6 is a manual of operation and maintenance in 3DPDF format intended to be supplied alongside the machine in order to support employees of future adopters of this equipment. Face mask machine operator instructions and the CAD of the machine was provided by DEMCON and, under the coordination of HSSMI, the work resulted in a comprehensive digital manual containing the details about all five machine modules alongside the supporting operator instructions.</li></ol><p>MS 7: external links to two interactive guides (created using Rise 360 App)</p><p>Best Practice for Robot Systems interactive guide:<a href="https://rise.articulate.com/share/f8zulPU7NP9yfIPUlvZu2atHegFTU9QJ"> https://rise.articulate.com/share/f8zulPU7NP9yfIPUlvZu2atHegFTU9QJ</a></p><p>Flexibility in Robot Cells interactive guide:<a href="https://rise.articulate.com/share/c0yyhqUBYwE9l8CmWKDl0dB8OcwgHrbH"> https://rise.articulate.com/share/c0yyhqUBYwE9l8CmWKDl0dB8OcwgHrbH</a></p><ol><li>An important goal for MS 7 in terms of training was to share the knowledge that MTC is building up around the SCALP robotic cell setup, upgrade and modelling with other companies willing to implement the same or similar solution. The document detailing best practices for robot systems has been provided by MTC covering questions on how to select, design, install and commission a robot in a production facility. An interactive guide systemising those best practices has been created by HSSMI. The interactive guide has been created using the app called Rise 360. It is a web app that allows to create responsive e-learning with intuitive features in the web browser. The created interactive guide comprises 5 main sections: General Definitions, Design, Installation, Commissioning and Summary. In order to make the guide more effective, MTC worked on simplifying and re-wording the original best practice document; and to make the learning more interactive, they have provided various images and animations that HSSMI then embedded into the guide.</li></ol><h3><strong>Edit</strong></h3><ul><li>MS1,2,3 Mask Mould Machine 3DPDF with Leibniz Universität Hannover</li><li>MS4 Disinfectant Sprayer Video Demo with Technostatic</li><li>MS5 Ventilator 3DPDF with Demcon</li><li>MS6 Mask Machine 3DPDF & Unreal Engine with Demcon</li><li>MS7 Rise 360 Web app for online tutorial about Manufacturing Robotics with MTC</li></ul>
Digital Technopole – Intermediate Results
No full text<p>The deliverable D4.1 summarizes the activities conducted in WP4 between month 4 and month 12 of the project. WP4 focuses on setting up all the required (technical, operational, strategical) elements to ensure that the Digital Technopole is able to support and assist the European manufacturing companies in view of the repurposing, adaptation and ramp-up of their manufacturing lines to quickly adjust to new and urgent production needs. </p><p>In this period, the following activities were conducted:</p><ul><li>The software platform that will serve the Digital Technopole has been set up and it was adapted to the needs and the purpose of CO-VERSATILE. In addition, the project partners have been informed about the available functionality and the kind of interaction and content that they can foster. In addition, legal, privacy, and ethical considerations have been described from a technical perspective, in order to verify the GDPR compliance and adapt if necessary. </li><li>The rules and procedures that will be employed during the operation of the Digital Technopole have been analysed. Among others, the competitors and their revenue streams have been analysed and promising business models have been identified. Furthermore, a preliminary value proposition has been drafted and will be validated with the identified stakeholders. </li><li>The activities related to the strategic plan to facilitate the uptake of the project results and empower external manufacturing companies started earlier than planned. The communication strategy and process to create awareness and to streamline the adoption of the resulting solutions have been discussed and a preliminary plan to generate and publish content has been outlined.</li></ul>
Virtual Annotated Cooking Environment Dataset - Ego Perspective
No full text<p>This dataset is the Ego Perspective version of the Virtual Annotated Cooking Environment Dataset (DOI: 10.48436/r5d7q-bdn48) and was recorded in the Virtual Annotated Cooking Environment (VACE), a new open-source virtual reality dataset (https://sites.google.com/view/vacedataset) and simulator (https://github.com/michaelkoller/vacesimulator) for object interaction tasks in a rich kitchen environment. We use the Unity-based VR simulator to create thoroughly annotated video sequences of a virtual human avatar performing food preparation activities. Based on the MPII Cooking 2 dataset, it enables the recreation of recipes for meals such as sandwiches, pizzas, fruit salads and smaller activity sequences such as cutting vegetables. For complex recipes, multiple samples are present, following different orderings of valid partially ordered plans. The dataset includes an RGB and depth camera view, bounding boxes, object masks segmentation, human joint poses and object poses, as well as ground truth interaction data in the form of temporally labeled semantic predicates (holding, on, in, colliding, moving, cutting). In our effort to make the simulator accessible as an open-source tool, researchers are able to expand the setting and annotation to create additional data samples.</p><p>The research leading to these results has received funding from the Austrian Science Fund (FWF) under grant agreement No. I3969-N30 InDex and the project Doctorate College TrustRobots by TU Wien. Thanks go out to Simon Schreiberhuber for sharing his Unity expertise and to the colleagues at the TU Wien Center for Research Data Management for data hosting and support.</p><p> </p>
Interactive Virtual Roundtable for EU Project CO-VERSATILE, 4/4
No full text<p>Content of<strong> 4th VRT:</strong> About Results Ownership List (ROL)</p><p>The aim was to raise awareness and foster a discussion concerning Intellectual Property Rights (IPR) aspects related to the Results Ownership List - ROL. Discussed topics:</p><ul><li>IPR management within the context of the CO-VERSATILE project</li><li>Background and foreground knowledge (concept and distinction of meaning)</li><li>Topic covered in the ROL: new fields were introduced to the partners</li><li>ROL and context</li><li>Implications concerning IPR</li></ul><h3>Project context</h3><p>A series of four Interactive Virtual Roundtables (VRTs) was organised within the <a href="https://co-versatile.eu/">CO-VERSATILE project</a>. A VRT is an activity and space developed to raise awareness, foster knowledge transfer, generate conceptual alignment, and initiate the adoption of corrective measures whenever there is a demand or a need.</p><ul><li><strong>1st VRT:</strong> Legal and Ethical issues</li><li><strong>2nd VRT:</strong> Gender and Intersectionality – Theories, tools and benefits within the context of the Co-Versatile project.</li><li><strong>3rd VRT:</strong> Intellectual Property – Data usage agreement, ownership of data and discoverability, visibility and re-use of project outcomes.</li><li><strong>4th VRT:</strong> About Results Ownership List (ROL)</li></ul><p>Furthermore, the VRTs also opened space for:</p><ul><li>Indication of relevant/supportive documents (i.e. <a href="https://eige.europa.eu/gender-mainstreaming/toolkits/gear">GEAR – Gender Equality in Academia and Research</a>)</li><li>Collection of partners' testimonials presented in the 1st VRT (i.e. WP2 – Build, Measure and Learn and WP5 - Communication & dissemination activities)</li><li>Conducting internal surveys (to monitor and collect data)</li><li>Development of auxiliary documents for the consortium members' use, such as dossiers, templates and deliverables.</li></ul>