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EarthCARE level-2 demonstration products from simulated scenes
<p><strong>Overview</strong></p> <p>The EarthCARE satellite combines four instruments, a Cloud Profiling Radar (CPR), an Atmospheric Lidar (ATLID), a Multispectral Imager (MSI) and a Broadband Radiometer (BBR), from which many products will be generated on the properties of clouds, aerosols, precipitation and radiation. The dataset in this repository consists of test products generated from simulated 3D scenes produced by the Canadian Global Environmental Multiscale (GEM) model. This includes both Level 1 (L1) "input" products containing simulated satellite measurements, and Level 2 (L2) "output" products produced by running the various European retrieval algorithms on the inputs. The dataset has been produced as part of the European Space Agency funded "CARDINAL" project involving numerous European and Canadian scientists, and there are several versions representing the evolution of the algorithms during preparation for the launch of EarthCARE. The scenes and algorithms are discussed in detail in a Special Issue of the journal Atmospheric Modelling Techniques (AMT), so the overview here is limited to a summary of what is contained in this dataset.</p> <p><strong>Directory structure</strong></p> <p>The four main top-level directories inside the zip file are for the three simulated scenes (except for the C-APC directory, described in a separate section below), each of which represent a single 6000-km long EarthCARE granule:</p> <ul> <li>Halifax: A swath over the Atlantic Ocean from the Caribbean to the Labrador Sea, passing close to Halifax in Nova Scotia</li> <li>Baja: A swath passing over the Rocky Mountains and the Baja California peninsula in Mexico</li> <li>Hawaii: A swath over the Pacific Ocean passing close to Hawaii</li> <li>Halifax_aerosol (added in version 10.10): A modified version of the Halifax scene with clouds removed and modified aerosols, to provided additional testing of the ATLID and MSI retrieval algorithms (note that algorithms involving CPR and BBR have not been run on this scene)</li> </ul> <p>Each of these directories contains three further directories:</p> <ul> <li>input: simulated level-1 instrument data (note that the data formats, e.g. attributes and variable names, do not exactly match those of real EarthCARE data, although they are close)</li> <li>output: level-2 meteorological products generated from the input data (note that updates to the algorithms in future may lead to minor changes to the data formats, so always use the most up-to-date Zenodo release)</li> <li>logs: text files logging the progress of the algorithms as they generated the level-2 data</li> </ul> <p>The input and output directories contain subdirectories for each product, and these each contain two files:</p> <ul> <li>A NetCDF4/HDF5 file with the suffix "h5" containing the retrieved data</li> <li>An XML file with the suffix "HDR" containing a description of the variables in the file (reproducing metadata already in the NetCDF4/HDF5 file)</li> </ul> <p><strong>Input products (L1)</strong></p> <p>The level-1 products are named <em>Y-ZZZ</em> where <em>Y</em> indicates the source of the data (A=ATLID, C=CPR, M=MSI, B=BBR and X=auxiliary) and <em>ZZZ</em> is a shortened version of the product name:</p> <ul> <li>A-NOM: Nominal ATLID measurements</li> <li>C-NOM: Nominal CPR measurements</li> <li>M-RGR: Regridded MSI measurements</li> <li>B-NOM: Nominal BBR measurements averaged to various scales</li> <li>B-SNG: Single-pixel BBR measurements</li> <li>X-JSG: Definition of the Joint Standard Grid on to which several of the observations are interpolated</li> <li>X-MET: Meteorological data from ECMWF</li> </ul> <p><strong>Single-instrument output products (L2a)</strong></p> <p>The naming convention is the same as the L1 data products.</p> <ul> <li>A-AER: ATLID aerosol profiles</li> <li>A-ALD: ATLID aerosol layer descriptor</li> <li>A-CTH: ATLID cloud top height</li> <li>A-EBD: ATLID extinction, backscatter and depolarization</li> <li>A-FM: ATLID feature mask</li> <li>A-ICE: ATLID ice cloud properties</li> <li>A-TC: ATLID target classification</li> <li>C-CD: CPR corrected Doppler velocity</li> <li>C-CLD: CPR cloud properties</li> <li>C-FMR: CPR feature mask and reflectivity</li> <li>C-TC: CPR target classification</li> <li>M-AOT: MSI aerosol optical thickness</li> <li>M-CM: MSI cloud mask</li> <li>M-COP: MSI cloud optical and physical properties</li> </ul> <p><strong>Multi-instrument output products (L2b)</strong></p> <p>The level-2b output products are named <em>YY-ZZZ </em>where YY is 2-4 character code conveying which of the four instruments were used and <em>ZZZ</em> is the shortened version of the product name.<em> </em></p> <ul> <li>AC-TC: ATLID-CPR target classification</li> <li>AM-ACD: ATLID-MSI aerosol column descriptor</li> <li>AM-CTH: ATLID-MSI cloud top height</li> <li>BM-RAD: BBR-MSI broadband radiances (unfiltered)</li> <li>ACM-3D: ATLID-CPR-MSI constructed 3D scene</li> <li>ACM-CAP: ATLID-CPR-MSI synergistic retrieval of cloud, aerosol and precipitation</li> <li>ACM-COM: ATLID-CPR-MSI composite of single-instrument cloud and aerosol retrievals</li> <li>ACM-RT: ATLID-CPR-MSI radiative fluxes and heating rates computed on the retrievals</li> <li>BMA-FLX: BBR-MSI-ATLID broadband fluxes</li> <li>ACMB-DF: ATLID-CPR-MSI-BBR difference between radiances and fluxes computed from retrievals (ACM-RT) and measurements (BM-RAD, BMA-FLX)</li> </ul> <p><strong>CPR Antenna Pointing Correction (C-APC) product</strong></p> <p>From version 10.01 of the dataset, an additional top-level "C-APC" directory contains test data for the CPR Antenna Pointing Correction product, which will be generated via statistical analysis of a larger sample of C-NOM data. The generated information about mis-pointing of the radar antenna will then be used to improve interpretation of subsequent radar Doppler observations. There are two subdirectories:</p> <ul> <li>GEM_scenes: contains a file used in subsequent radar processing of the three GEM scenes, although in these scenes it has been assumed that there is no mis-pointing to correct, indicated by the file containing missing data and zeros.</li> <li>Antenna_mispointing_example: contains input and output files (in further subdirectories) illustrating what the data would look like with mis-pointing present. It was generated by artificially modifying the Doppler veclocities in the original Baja, Halifax and Hawaii scenes, concatenating them to generate a full orbit, and then running the C-APC algorithm to characterize the mis-pointing.</li> </ul> <p><strong>Product definition documents</strong></p> <p>From version 10.10 of the dataset, an additional top-level directory "Product_definition_documents" is provided containing documents that describe the variables contained in each of the level-2 product files.</p> <p><strong>Filename format</strong></p> <p>The data filenames and directories have the following name format:</p> <p>ECA_EXAA_<em>YYY_ZZZ_LL_OBSERVATION-TIME_GENERATION-TIME_VVVVVV</em></p> <p>where:</p> <ul> <li>"ECA" indicates EarthCARE.</li> <li>EXAA indicates the file class: ESA, Latency N/A, Simulator, Baseline N/A.</li> <li><em>YYY</em> is a three-character code indicating the instrumental source of the data. The 1-4 character codes defined in the sections above are converted to 3 character codes as follows: A -> ATL, C -> CPR, M -> MSI, B -> BBR, X -> AUX, AM -> AM_, AC -> AC_, BM -> BM_, ACMB -> ALL.</li> <li><em>ZZZ</em> is a three-character code abbreviating the full name of the product, as defined in the sections above.</li> <li><em>LL</em> represents the level of the data from 1B, 1C, 1D, 2A and 2B.</li> <li><em>OBSERVATION-TIME</em> is a code representing the date and time the observations were taken in the form <em>yyyymmdd</em>T<em>hhmmss</em>Z. Note that for the present datasets the dates are fictional future dates.</li> <li><em>GENERATION-TIME</em> is a code of the same form representing the time that the processor was run to produce the data product.</li> <li><em>VVVVVV</em> indicates the orbit number and frame letter.</li> </ul> <p>Further information may be obtained from the papers in the special issue of AMT. The description here may be expanded in future.</p> <p>Contacts: Gerd-Jan van Zadelhoff <gerd-jan.van.zadelhoff@knmi.nl> and Robin Hogan <r.j.hogan@ecmwf.int></p>
Data supplement to "Overview of the Demonstration and Science Experiments (DSX) mission"
<p>Additional data supporting "Overview of the Demonstration and Science Experiments (DSX) mission", manuscript accepted to Journal of Geophysical Research.</p>
Videos of Demonstrating Experimental Systems and Motions
<p>It includes three videos demonstrating systems and motions used in our experiment to investigate animacy and emotion perception.</p> <p>Video S1: System operation in Experiment 1; Video S2: Motions reflecting the results of Experiment 1; Video S3: System operation in Experiment 2.</p>
D2.1 - Demonstrator baseline and market characteristics report - Transcripts of interviews with a French company
<p>This is the transcript of the interviews with a French company for D2.1 "Demonstrator baseline and market characteristics report" defining the current baseline and the target/improved circular business models for two demonstrators and analyzing both demonstrators´ market characteristics and their impact on the target circular business models.</p>
D2.1 - Demonstrator baseline and market characteristics report - Consumer survey data set
<p>This is the data set for D2.1 "Demonstrator baseline and market characteristics report" defining the current baseline and the target/improved circular business models for two demonstrators and analyzing both demonstrators´ market characteristics and their impact on the target circular business models.</p> <p> </p>
Data supporting the manuscript: Demonstrating the value of beaches for adaptation to future coastal flood risk
<p>*Forcing hydrograms used to compute the flooding maps in .mat format.</p> <p>*Geodatabase of Pre-storm flooding maps </p> <p>*Geodatabase of Post-storm flooding maps</p>
Supplementary figures for 'Domino: A new framework for the automated identification of weather event precursors, demonstrated for European extreme rainfall.'
<p>Supplementary dynamics and skill plots for the paper 'Domino: A new framework for the automated identification of weather event precursors, demonstrated for European extreme rainfall', submitted to QJRMS.</p>
Data from: Diversification processes in Gerp's mouse lemur demonstrate the importance of rivers and altitude as biogeographic barriers in Madagascar's humid rainforests
<p><span>Madagascar exhibits exceptionally high levels of biodiversity and endemism. Models to explain the diversification and distribution of species in Madagascar stress the importance of historical variability in climate conditions which may have led to the formation of geographic barriers by changing water and habitat availability. The relative importance of these models for the diversification of the various forest-adapted taxa of Madagascar has yet to be understood. Here, we reconstructed the phylogeographic history of Gerp's mouse lemur (<em>Microcebus gerpi</em>) to identify relevant mechanisms and drivers of diversification in Madagascar's humid rainforests. We used restriction site associated DNA (RAD) markers and applied population genomic and coalescent-based techniques to estimate genetic diversity, population structure, gene flow and divergence times among <em>M. gerpi</em> populations and its two sister species <em>M. jollyae</em> and <em>M. marohita</em>. Genomic results were complemented with ecological niche models to better understand the relative barrier function of rivers and altitude. We show that <em>M. gerpi</em> diversified during the late Pleistocene. The inferred ecological niche, patterns of gene flow and genetic differentiation in <em>M. gerpi</em> suggest that the potential for rivers to act as biogeographic barriers depended on both size and elevation of headwaters. Populations on opposite sides of the largest river in the area with headwaters that extend far into the highlands show particularly high genetic differentiation, whereas rivers with lower elevation headwaters have weaker barrier functions, indicated by higher migration rates and admixture. We conclude that<em> M. gerpi</em> likely diversified through repeated cycles of dispersal punctuated by isolation to refugia as a result of paleoclimatic fluctuations during the Pleistocene. We argue that this diversification scenario serves as a model of diversification for other rainforest taxa that are similarly limited by geographic factors. In addition, we highlight conservation implications for this critically endangered species, which faces extreme habitat loss and fragmentation. </span></p>
An ontology for defining and characterizing Demonstration Environments
<p>Demonstration Environments (DE) refer to all facilities and environments for technology development including testing, prototyping and confronting technology with different usage situations (e.g. testbed, pilot plant, living lab, sandbox, etc.). This DE Ontology is proposed to define, conceptualise and characterise DEs from various perspectives including their application domains, characteristics, network components and measurable values like lifespan. It enables different types of DEs to be situated on the same level for comparison and benchmarking. It also provides a standardisation of terminologies related to DEs which solves heterogeneity in the description of various names of DEs across domains, and provides a common understanding of DEs through a systematic framework which is the ontology.</p>
GDPR and the principle of purpose limitation in connecting Data Spaces demonstrators
<p>The presentation focuses on legal challenges arising from the GDPR when connecting Data Spaces using the Demonstrators. Special attention is given to the principle of purpose limitation of the GDPR. The Demonstrators serve a crucial role in connecting the data spaces of the NFDI and GAIA-X. The data in the two data spaces is gathered and used for usually completely different purposes. Thus, when connecting the spaces, the data may be processed for completely different purposes. The GDPR – when applicable – limits legitimate purposes of such further processing. Even if a purpose is legitimate, the GDPR imposes different obligations on controllers and processors. The presentation will dive into the applicability of the GDPR to the demonstrators, the roles of controller and processor regarding the demonstrators and will discuss the principle of purpose limitation and the obligations connected to it.</p>
Falling-cat Flywheel Demonstrator
<p>Proof-of-concept demonstrator of the Flexure-based Falling-cat Flywheel.<br> (By replacing the dummy motor and driving crank with a contactless magnetic actuator, a frictionless reaction wheel can be obtained).<br> - Presented at the 20th European Space Mechanisms and Tribology Symposium, 20-22 September, 2023, Warsaw Poland.<br> - Detailed article submitted to Journal of Spacecraft and Rockets: "Falling-cat Flexure-based Flywheel for Frictionless Reaction Wheels", Fluckiger, Patrick; Cosandier, Florent; Schneegans, Hubert; Henein, Simon, 2023.<br> - Preliminary research article (Preprint): <a href="https://engrxiv.org/preprint/view/1778/3619">engrxiv.org/preprint/view/1778/3619</a></p>
Archaeology demonstrates sustainable Ancestral Coast Salish salmon stewardship over thousands of years pre-contact
<p><span>Salmon are an essential component of the ecosystem in Tsleil-Waututh Nation's traditional, ancestral, and unceded territory, centred on present-day Burrard Inlet, BC, Canada</span><span>, where Tsleil-Waututh people have been harvesting salmon, along with a wide variety of other fishes, for millennia. Tsleil-Waututh Nation is an ancestral Coast Salish community that has called the Inlet home since time immemorial. This research assesses the continuity and sustainability of the salmon fishery at təmtəmíxʷtən, an ancestral Tsleil-Waututh settlement in the Inlet, over thousands of years before European contact (1792 CE). We apply Zooarchaeology by Mass Spectrometry (ZooMS) analysis to 245 archaeological salmon vertebrae to identify the species that were harvested by the Tsleil-Waututh community that lived at təmtəmíxʷtən. The results demonstrate that Tsleil-Waututh communities consistently and preferentially fished for chum salmon (<em>Oncorhynchus</em> <em>keta</em>) over the period of almost 3,000 years. The consistent abundance indicates a sustainable chum salmon fishery over that time and a strong salmon-to-people relationship through generations. This research supports Tsleil-Waututh Nation's stewardship obligations under their ancestral legal principles to maintain conditions that uphold the Nation's way of life.</span></p>
Artifact Demonstration Video for Negotiating Autonomy in Cyber-Physical Systems at Run Time
<p>This artifact demonstration video shows a novel approach to dynamically negotiate autonomy in Cyber-Physical Systems (CPS). As CPS become increasingly integrated into our daily lives, sharing autonomy between human operators and autonomous agents within these systems becomes a critical issue. Business case developers also face the design and integration of CPS. Our research presents a novel architecture and methodology that seamlessly enables this sharing of autonomy. We aim to encourage business case developers to consider autonomic CPS. The video provides an insightful overview of our approach and highlights its practicality. It illustrates how our system enables business case developers to back CPS with a mechanism to negotiate and share autonomy at runtime. Our artifact demonstration video is not only a good opportunity to visually grasp the concept of negotiating autonomy in CPS, but also to experience the practical implementation of this approach. It serves as a valuable resource for researchers, engineers, and anyone interested in understanding the future of sharing autonomy in the context of cyber-physical systems.</p>
Demonstration of the Autonomous Precise Assembly of Segmented Mirror Tiles for a Space Telescope
<p>The video shows a complete sequence of the demonstration of the autonomous precise assembly of segmented mirror tiles for a space telescope. Within the EU project PULSAR, DLR, together with CSEM (Switzerland), Space Application Services (Belgium) and Magellium (France) developed the demonstrator of Precise Assembly of Mirror Tiles (dPAMT), focused on assembling a functional section of a primary mirror using an autonomous mobile robot. The demonstrator used a KUKA KMR robot, endowed with a KUKA iiwa arm, for manipulating the segmented mirror tiles through the HOTDOCK standard interface, and performing the assembly using compliant control.</p>
Study in Toddlers to Demonstrate Non-inferiority of GSK Biologicals' Hib-MenC & to Evaluate Persistence up to 5 Years.
ClinicalTrials.gov study NCT00326118. IPD Sharing: YES. Countries: 1. Publications: 2.
Study to Demonstrate Equivalent Efficacy and to Compare Safety of Biosimilar Adalimumab (GP2017) and Humira
ClinicalTrials.gov study NCT02016105. IPD Sharing: UNDECIDED. Countries: 4. Publications: 2.
Demonstration of a New Device to Measure the Force of Delivering a Baby
ClinicalTrials.gov study NCT00964444. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Trial to Demonstrate the Efficacy and Safety of Conversion to Lacosamide Monotherapy for Partial-onset Seizures
ClinicalTrials.gov study NCT00520741. IPD Sharing: Not stated. Countries: 13. Publications: 1.
To Demonstrate Equivalent Pharmacokinetic Properties of HD204 and Bevacizumab (Avastin®) in Healthy Male Subjects
ClinicalTrials.gov study NCT03390673. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Photobiomodulation to Demonstrate Safety and Reduce the Incidence of Oral Mucositis in Adult Head & Neck Cancer Patients
ClinicalTrials.gov study NCT03972527. IPD Sharing: YES. Countries: 1. Publications: 0.
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