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593 results for “Workshop”
Making predictions for geoscience and climate policy workshop results
<p>This provides the data files and basic plotting and interpretation for results for predictions made in a series of workshops run in 2024, with predictions made for 2024, 2050, 2100 and 5o years after net zero. The workshop results are found in the files "EGU_Prediction-making workshop questions cleaned.csv" and "RGS_...", the code expects these to be in a folder denoted "data". More details can be found in the README.txt. Updates to this codebase can be found in <a href="https://github.com/Rlamboll/ClimatePredictionsWorkshop">https://github.com/Rlamboll/ClimatePredictionsWorkshop.</a></p> <p> </p>
2018 NSF Large Scale Experiment Workshop on Volcanic Blasts
<p><em><strong>A collection of datasets which were recorded at the 2018 NSF Large Scale Experiment Multiblast workshop on volcanic hazards</strong></em>. The workshop aimed to facilitate interdisciplinary collaboration and improve field-scale testing of monitoring methods and models. The workshop had 47 participants from US-based and international institutions. <a href="https://doi.org/10.1029/2018EO109237">Read some more details in this EOS article</a> or a <a href="https://doi.org/10.31223/X55W4F">full manuscript which is currently in review</a>.</p> <p><strong>attention</strong>: This dataset is UNDER CONSTRUCTION. It is close to, but not absolutely complete. We will publish version 1.0 once the accompanying JGR manuscript has been approved for publication.</p> <p>All data is provided in several zip archives, and small files containing metadata and descriptions. Large data chunks are separated into 'pads' (1–4), which refer to the four experiments that were performed. The archives contain a folder structure, which should allow for compatible extractions, so that archives can be downloaded to a common local folder (e.g. using a script) and extracted there without running into file name conflicts.</p> <p>Several teams collaborated to come up with this dataset. Below we list the teams from which data was used and is part of the current version of the dataset. More data may be published in the future and added in a later version. The teams collaborated to varying degrees for different tasks.</p> <p><strong>Teams</strong> in <em>alphabetical</em> order:</p> <ul> <li>Baylor<br> Baylor University<br> Lead by Kenneth Befus</li> <li>BYU<br> Brigham Young University<br> Lead by Neilsen<br> Contributors: TODO</li> <li>INGV<br> Istituto Nazionale di Geofisica e Vulcanologia, Rome<br> Lead by Taddeucci<br> Contributors: Ricci</li> <li>LDEO<br> Lamont Doherty Earth Observatory, Columbia University<br> Lead by Lev, Oppenheimer</li> <li>MTU<br> Michigan Tech University<br> Lead by Waite<br> Contributors: TODO</li> <li>UB<br> University at Buffalo<br> Lead by Sonder, Valentine<br> Contributors: David Hyman, Kayley DiemKaye, Norman Yu</li> <li>UCSB<br> University of California Santa Barbara<br> Lead by Matoza<br> Contributors: Sean Maher, Richard Sanderson</li> <li>UMKC<br> University of Missouri, Kansas City<br> Lead by Graettinger<br> Contributors: Kadie Bennis</li> <li>Yamagata<br> Yamagata University<br> Lead by Kae Tsunematsu</li> </ul> <p><strong>Parts of This Dataset</strong></p> <ul> <li><em>Coordinates & Positions:</em><br> Lead by the UB team.<br> Coordinates and Locations of Blast Charges, Sensors etc.</li> <li> <p><em>Elevation Data of Craters:</em><br> Lead by the UMKC and LDEO teams (Graettinger, Lev).<br> Elevation data were created from photographs taken right after charge detonations. The 3D-data was derived in a standard photogrammetry software (Metashape™). This data was then rasterized and imported into ArcGIS™, and is provided here. Fine adjustments were made to better match reference locations of the available site coordinate system.</p> </li> <li> <p><em>Ejecta Data:</em><br> Lead by the UMKC team.<br> Spatial distribution of ejected material.<br> The <code>.csv</code> files contain the same information as the Excel sheet, but do not contain any graphs.</p> </li> <li> <p><em>Airborne Pressure Data:</em><br> Lead by the BYU team.<br> Archive files: <code>buy_pad[i].zip</code>.<br> Data is arranged in four zip-archives, one for each blast sequence ("Pad"). Each file contains time and pressure arrays and some metadata of one microphone channel. Individual sensor locations are in the <code>positions.zip</code>.</p> <ul> <li>Format: Matlab <code>.mat</code></li> <li>File name patterns after unpacking:<br> <code>data/BYU Acoustics/Data/Aligned with Infra peaks/Pad [i]/TimeSyncPad[i]Ch[k].mat</code><br> <code>[i]</code>: Pad number (1 ... 4)<br> <code>[k]</code>: Channel number.</li> </ul> </li> <li> <p><em>Seismo-Acoustic Data:</em><br> Lead by two teams, UCSB and MTU, who deployed horizontally distributed (UCSB) and vertically distributed (MTU) seismometer stations, and infrasound sensors. MTU also provided a geophone chain. Some of the UCSB sensors were combined with the rapid BYU provided microphones to record a very wide frequency spectrum in ground and atmosphere.</p> <ul> <li> <p>UCSB data structure:<br> Data archives are provided in sensor groups for all experiments (pads). Archive file names are <code>ucsb_[sensor_type]_[sensor_gid].zip</code>. <code>[sensor_type]</code> is one of <code>inf</code> or <code>seis</code>. <code>[sensor_gid]</code> is an identifier for the sensor group (may also be a single sensor) the archive contains. E.g. <code>inf_nyi1</code> contains infrasound data of sensors <code>NYI1.1</code>, <code>NYI1.2</code> and <code>NYI1.3</code>. Use the preview window above to look into the archives. The <code>position</code> archive contains the sensor locations.</p> </li> <li> <p>MTU data structure:<br> Data archives (<code>mtu_seis-infr_pad[i].zip</code>) are organized in 'pads' 1 ... 4 and contain all sensors (infrasound, seismometer, geophones).</p> </li> </ul> </li> <li> <p><em>Video Material:</em><br> No leading team here. Cameras were contributed teams by INGV, LDEO, Yamagata, UB.<br> A drone was deployed for a map-view. Six or more cameras for each pad. Read the <code>video_readme.pdf</code> for details about camera locations and types.</p> </li> </ul> <p><strong>Changes</strong></p> <ul> <li>v0.5:<br> Added the <code>drone2</code> videos from Baylor. (All video zips were updated!)</li> <li>v0.4:<br> Added analysis pack 1 (<code>multiblast_analysis-pack1.zip</code>) code that produced figures and tables of the ms in review. This code is also available on <a href="https://gitlab.com/isonder/2018_blasts">gitlab.com/isonder/2018_blasts</a>.</li> <li>v0.3:<br> Added <code>mtu_seis_infr_metadata.zip</code>. Metadata for the MTU dataset.</li> <li>v0.2:<br> Second batch of main data. >90% complete, I guess.</li> <li>v0.1:<br> First batch of main data.</li> </ul>
CUSP - UBC Workshop: Analytics: Characterization and quantification / enumeration of particles in the environment and in tissue
<p>The CUSP-UBC Workshop was held online on 28th January 2022.</p> <p>69 participants took part from across Europe and British Columbia to share experiences, exchange knowledge, and to discuss challenges and solutions as part of a great collaboration between the two clusters.</p> <p><strong>Acknowledgements:</strong></p> <p><strong>Co-Organisation and Cluster Presentations:</strong></p> <p>Lesley Tobin (CUSP Working Group 6 Communication and Dissemination, PlasticsFatE) <a href="mailto:lesley.tobin@optimat.co.uk"> </a><a href="mailto:lesley.tobin@optimat.co.uk">lesley.tobin@optimat.co.uk</a></p> <p>Mahdi Takaffoli (Coordinator, Cluster for Microplastics, Health and the Environment, The University of British Columbia) <a href="mailto:mahdi.takaffoli@ubc.ca">mahdi.takaffoli@ubc.ca</a></p> <p><strong>Presenters:</strong></p> <p><strong>Florian Meirer </strong>(Associate Professor, Inorganic Chemistry and Catalysis research group at Utrecht University; Polyrisk & Aurora)</p> <p>“Characterizing Nanoplastics with Force Microscopy – An Update”) <a href="mailto:F.Meirer@uu.nl">F.Meirer@uu.nl</a></p> <p><strong>Anna Costa</strong> (Environmental Nanotechnology and Nano-Safety group of CNR-ISTEC; PlasticsFatE) “Strategies for MP/NP simulated samples-laboratory tests” <a href="mailto:anna.costa@istec.cnr.it">anna.costa@istec.cnr.it</a></p> <p><strong>Tao Huan</strong> (Assistant Professor, Chemistry, The University of British Columbia)</p> <p>“Pilot Study of the Impact of Microplastics on Cell Liability and Potential Application of Metabolomics in Understanding the Biological Mechanisms” <a href="mailto:thuan@chem.ubc.ca">thuan@chem.ubc.ca</a></p> <p><strong> Edward Grant</strong> (Professor, UBC Chemistry) “The challenge of representative microplastic analysis” edgrant@chem.ubc.ca</p> <p>Thank you to Michelle Epstein, Doctor of Allergy and Clinical Immunology, MedUni Vienna, for such a useful, stimulating idea, and to everyone who took part despite the unsocial hours!</p> <p> </p>
LoGov Germany Workshop Report n°1
<p>The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
LoGov Germany Workshop Report n°3
<p>The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
LoGov Germany Workshop Report n°2
<p>The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
LoGov Switzerland Workshop Report n°1
<p>The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Switzerland. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
LoGov Switzerland Workshop Report n°2
<p>The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Switzerland. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
OPERAS Crowdfunding Workshop 24th May 2022
<p>In the 1-hour introduction workshop explaining the OPERAS crowdfunding channel featured on GoTriple, experts on scientific crowdfunding provide tips and tools to understand what crowdfunding is, how it can be applied to science, and how to launch a campaign to collect financial support from the crowd, but also communicate research in the most succesful way. The presentation is followed by a 30 minutes of Q&A.</p> <p>Presenters: Paula Forbes (Abertay University Dundee, Scotland/TRIPLE project) & Alizé Aversano (wemakeit)</p> <p>Moderator: Sona Arasteh (MWS / TRIPLE Project)</p>
BeerDEcoded Nanopore Sequencing workshop of la trappe Dez. 2019
<p>The BeerDEcoded workshops are a project of the Street Science Community. https://streetscience.community/projects/beerdecoded/<br> We are extracting DNA from different Beers and sequence them using the Nanopore sequencing technique. The data contains the reads extracted from the beer of the brand la trappe and was performed on 08.12.2019. <br> The sequencing was performed on a MinION using a Flow Cell and the MinKNOW software. The Software collects sequencing data in real-time and has a base-calling integrated to convert the fast5 files into fastq files.</p>
Additional Material for Debiasing architectural decision-making: a workshop-based training approach
<p>This additional material was created to enable full replication of the experiment described in the paper:<br> "Klara Borowa, Maria Jarek, Gabriela Mystkowska, Weronika Paszko and Andrzej Zalewski: <strong>Debiasing architectural decision-making: a workshop-based training approach</strong>".<br> The paper was accepted for publication at ECSA 2022 (The 16th European Conference on Software Architecture).<br> <br> The folder contains the following files:<br> Coding-details.xlsx - the coding scheme, as well as coding results. Contains all code counts for each team participating in the experiment.<br> Experiment-meeting-plan.pdf - contains the plan for the 3-hour meeting during which the experiment was conducted, as well as a timetable of when each meeting took place and who organised it.<br> Debiasing-workshop-slides.pdf - slides used during the debiasing workshop.<br> Debiasing-workshop-plan.pdf - detailed instruction for workshop organisers, what should be said and done during the workshop.<br> Participants_questionnaire_and_results.xlsx - questionnaire questions used to obtain information about participants, as well as questionnaire results for all 44 participants.</p>
Dataset for the challenge at the 2nd MODE workshop on differentiable programming 2022
<p>Data is in HDF5 format (with LZF compression). For specifics and details, please see <a href="http://github.com/GilesStrong/mode_diffprog_22_challenge">https://github.com/GilesStrong/mode_diffprog_22_challenge</a></p> <p>The training file contains two datasets:</p> <ul> <li>`'x0'`: a set of voxelwise X0 predictions (float32)</li> <li>`'targs'`: a set of voxelwise classes (int):</li> <li>0 = soil</li> <li>1 = wall</li> </ul> <p> </p> <p>The format of the datasets is a rank-4 array, with dimensions corresponding to (samples, z position, x position, y position).</p> <p>All passive volumes are of the same size: 10x10x10 m, with cubic voxels of size 1x1x1 m, i.e. every passive volume contains 1000 voxels.</p> <p>The arrays are ordered such that zeroth z layer is the bottom layer of the passive volume, and the ninth layer is the top layer.</p> <p>It can be read using e.g. the code below:</p> <p> </p> <p><em>with h5py.File('train.h5', 'r') as f:</em></p> <p><em> inputs = h5['x0'][()]</em></p> <p><em> targets = h5['targs'][()]</em></p> <p>The test file only contains the X0 inputs:</p> <p><em>with h5py.File('test.h5', 'r') as h5:</em></p> <p><em> inputs = h5['x0'][()]</em></p> <p>The private testing sample also contains targets. The private and public splits can be recovered using:</p> <p><em>from sklearn.model_selection import train_test_split</em></p> <p><em>pub, pri = train_test_split(targets, test_size=25000, random_state=3452, shuffle=True)</em></p> <p> </p>
Communicating with the Network & Landscape Workshops - Dr Samantha Kanza (University of Reading, University of Southampton)
<p>This video is the eleventh talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021.</p> <p>Communicating with the Network & Landscape Workshops - Dr Samantha Kanza (University of Southampton).</p> <p>Bio: Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/fvRb9ULGU2I</p>
ESR02 - Workshop demo scan dataset
<p>Sample dataset from the calibration and workflow testing of the 3d scanning and machining setup at CITA, Copenhagen. Scanned with a Faro Focus 3d scanner and converted to .pcd using the PCL library and an in-house plug-in for Faro Scene.</p>
Anonymized survey responses from two Inception Workshops
<p>To evaluate the effectiveness of the Inception Workshop approach we conducted a survey, in two experimental workshops. The survey was done in two stages, with pre- and post- workshop questionnaires. Both questionnaires included the same set of questions, in which the respondents were asked to evaluate their familiarity with environmental domain concepts and procedures, and IT tools and technologies. Anonymized responses are published here. The first workshop responses are in file `iw.q1.txt` and the second workshop in `iw.q2.txt`. Each row includes the question category (pre or post workshop), the question number (Qu1-Qu20), and the respondents answers in a 5-level Liker scale (from 1 to 5). A full list of questions are in the corresponding paper.</p>
Workshop on Plastics
<p>Online Workshop on Plastics: Think Global, Think Circular, Re-Think End-of-Life!</p> <p>Presentations by:</p> <ul> <li>Gert-Jan Gruter, University of Amsterdam and Avantium BV</li> <li>Nuno Aguiar, Portuguese Plastic Industry Association (APIP)</li> <li>Mark Foreman, Chalmers University of Technology, Gothenburg, Sweden</li> <li>Milena Parnigoni, Ecoiberia Reciclados Ibéricos SA, Portugal</li> </ul> <p>Date: 24th September 2020</p> <p> </p>
CEDAR 2024 workshop simulation inputs
Open the record for dataset details and reuse information.
Research Scholars Workshop: Publishing in Beyond
<p><span>Not sure where to submit your research to? Consider publishing your research through <em>Beyond: Undergraduate Research Journal (</em></span><a href="https://commons.erau.edu/beyond/" target="_blank" rel="noopener">https://commons.erau.edu/beyond/</a><span>). This is a peer-reviewed publication of the Embry-Riddle Aeronautical University Office of Undergraduate Research. The journal publishes the following scholarly works by ERAU students from the Worldside, Daytona, and Prescott campuses:</span></p>
Answer Key for the SAFI messy data workshop exercise
<p>This is the answer key for the Studying African Farmer-Led Irrigation (SAFI) survey messy data exercise included in the Data Carpentry Workshop: <span>Data Organization in Spreadsheets for Social Scientists (<a href="https://ucsbcarpentry.github.io/spreadsheets-socialsci">https://ucsbcarpentry.github.io/spreadsheets-socialsci</a>) Episode: Formatting Problems. </span></p> <p><span>More information about the SAFI dataset: </span></p> <p>Woodhouse, Philip; Veldwisch, Gert Jan; Brockington, Daniel; Komakech, Hans C.; Manjichi, Angela; Venot, Jean-Philippe (2018). SAFI Survey Results. Figshare. Dataset. <a href="https://doi.org/10.6084/m9.figshare.6262019.v4">https://doi.org/10.6084/m9.figshare.6262019.v4</a></p>
Figure 2 in A workshop to advance invasive species early detection capacity of The Rapid Environmental DNA Assessment and Deployment Initiative & Network (READI-Net)
Figure 2. The Rapid Environmental (e)DNA Assessment and Deployment Initiative & Network (READI-Net) project components being developed to support molecular detection of invasive species. Molecular tools, like eDNA sampling, are sensitive and costeffective for early detection of invasive species and are one component of the National Early Detection Rapid Response framework.
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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.