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4,230 results for “Energie”
Covid-19 - impact on evolution of energy demand
<p><strong>Consumo_elect_COVID_2020 & Consumo elect_COVID_2019</strong></p> <p>Dataset with register of energy demand in Spain. Timeframe: January to March (2019 & 2020)</p> <p> </p> <p><strong>Casos_COVID_ESPAÑA</strong></p> <p>Dataset with register of the evolution of the spread of Covid-19 in Spain. Break-down of data per region (CCAA). Timeframe: January to March 2020</p> <p> </p> <p><strong>Casos_COVID_mundo</strong></p> <p>Dataset with register of the evolution of the spread of Covid-19 in Spain. Break-down of data per country. Timeframe: January to March 2020</p>
Image of sky region around Crab obtained by JEM-X1 instrument in the energy range 3-20 keV.
<p>https://www.astro.unige.ch/cdci/astrooda_?DEC=22.0145&E1_keV=3&E2_keV=20&RA=83.633083333333&T1=2003-03-15T23%3A27%3A40.0&T2=2019-03-16T00%3A03%3A15.0&T_format=isot&detection_threshold=20&instrument=jemx&jemx_num=1&osa_version=OSA10.2&product_type=jemx_image&query_status=new&query_type=Real&radius=5&src_name=Crab&use_scws=no</p> <p> </p>
Katrin Mueller - Solar Energy for a Carbon-Neutral Society
<p>Are we on the right track towards reaching negative net-zero CO2 emissions by 2050? Find out more about how solar power could help achieve a climate-neutral Europe & don't miss our interview with Katrin Mueller, sustainability engineer at SIEMENS AG and a SUNRISE consortium member.</p>
Towards Sustainable Energy - Live ITW with Antonín Vlček
<p>In the coming years, we will need to replace fossil fuels by sustainable energy sources. What should be the next steps towards this shift? Don't miss our live ITW with our partner Prof. Dr. Antonín Vlček from Queen Mary University of London & J. Heyrovsky Institute of Physical chemistry, during our consortium meeting in Brussels!</p>
Teaser SUNRISE releases its technological roadmap to a clean energy EU
<p>Promotional video roadmap: We are thrilled to present our freshly released technological roadmap! The SUNRISE technological roadmap is the result of the integrated knowledge of a broad group of scientists across Europe and a key step to engage the whole community towards building a climate neutral EU. This roadmapping process was launched in May 2019 by a dedicated working group within the SUNRISE consortium, collecting and analyzing broad input from over 180 stakeholders at the SUNRISE Stakeholder Workshop on 17-18 June, 2019, in Brussels.</p>
Projected freshwater needs of the energy sector in the European Union and the UK
<p>This dataset contains the projections of future freshwater demands of the energy sector (primary energy supply and transformation in power plants and oil refineries) in the EU and the United Kingdom for the period 2015-2050, in 5-year steps. The projections are estimated by the combination of water withdrawal and consumption factors for different energy technologies under six energy scenarios, at national and NUTS2 level, as described in the JRC technical report: Hidalgo Gonzalez, I., Medarac, H. and Magagna, D., Projected freshwater needs of the energy sector in the European Union and the UK, EUR 30266 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-19829-1 (online), doi:10.2760/796885 (online), JRC121030.</p>
Figure 18 in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 18. The anatomy of Paphies elongata (a and b) compared with that of Donax hanleyanus (c and d), both drawn to the same relative scale (for actual scales see the earlier illustrations). (a) and (c) are views of the apertures of the inhalant siphons; (b) and (d) are the internal organs of the mantle cavity showing the visceral mass and foot, the musculature, the orientation of the ctenidia and labial palps and the simplified intestine. (c) is re-drawn after Luzzatto and Penchaszadeh (2001, fig. 1); (d) is a compendium of re-drawn figures from Narchi (1978). (See previous illustrations for interpretations of structure).
Figure 15 in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 15. Paphies elongata. The course of the intestine in the visceral mass as seen from the right side. AA(1), anterior adductor muscle(1); AN, anus; APR, anterior pedal retractor muscle; CSS, crystalline style sac; DD, digestive diverticulae; DEF, dorsal extension of the foot; EMG, expanded region of the mid gut; F, foot; G, gonad; H, heart; HF, heel of the foot; HG, hind gut; M, mouth; MG, mid gut; PA, posterior adductor muscle; PPR, posterior pedal retractor muscle; R, rectum.
Figure 11. Paphies elongata. A in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 11. Paphies elongata. A more detailed illustration of the anterior adductor muscle complex. AA(1), anterior adductor muscle (1); AA(2), anterior adductor muscle (2); APEM, anterior pedal elevator muscles; APP, anterior pedal protractor muscle; APR, anterior pedal retractor muscle scar; VM, visceral mass.
Figure 9 in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 9. Paphies elongata. (a) the organs of the mantle cavity as seen from the left side after removal of the left shell valve and mantle lobe. (b) A diagrammatic transverse section through the left ctenidium showing the ciliary currents. AA(1), anterior adductor muscle(1); APR, anterior pedal retractor muscle; CA, ctenidial axis; DEF, dorsal extension of the foot; ES, exhalant siphon; FMM, fused mantle margin; HF, heel of the foot; ID, inner demibranch; IS, inhalant siphon; F, foot; OD, outer demibranch; OLP, outer labial palp; PA, posterior adductor muscle; PPR, posterior pedal retractor muscle; PR, prodissoconch; SAE, supra-axial extension of the outer demibranch; VMFG, ventral margin food groove of the inner demibranch.
Figure 5. Paphies elongata. A in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 5. Paphies elongata. A more detailed view of the hinge plate of the right valve showing the structure of the ligament. ACT, anterior cardinal tooth; ALT, anterior lateral tooth; AOLL, anterior outer ligament layer; ILL, inner ligament layer; P, periostracum; PCT, posterior cardinal tooth; PLT?, possible posterior lateral tooth; POLL, posterior outer ligament layer; PR, prodissoconch; RE, resilifer; S, socket.
Figure 4 in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 4. Paphies elongata. Internal views of (a) the left and (b) the right hinge plates. ACT, anterior cardinal tooth; ALT, anterior lateral tooth; L, ligament; PCT, posterior cardinal tooth; PLT?, possible posterior lateral tooth; S, socket.
Figure 3 in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 3. Paphies elongata. An internal view of the right shell valve showing the hinge plate and the muscle scars. The black dot indicates the position of the only naticid drill hole found in any of the empty valves collected. AA(1), anterior adductor muscle scar(1); AA(2), anterior adductor muscle scar (2); APP, anterior pedal protractor muscle scar; APR, anterior pedal retractor muscle scar; PA, posterior adductor muscle scar; PG, pedal gape sinus scar; PL, pallial line scar; PPR, posterior pedal retractor muscle scar; PS, pallial sinus; U, umbo.
Figure 13 in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 13. Paphies elongata. The ciliary currents of the left mantle lobe. AA(1), anterior adductor muscle(1); AA(2), anterior adductor muscle(2); APR, anterior pedal retractor muscle; PA, posterior adductor muscle; PGS, pedal gape sinus scar; PL, pallial line; PPR, posterior pedal retractor muscle; PR, prodissoconch; PS, pallial sinus.
Figure 1. Paphies elongata. A in The biology and functional morphology of the high-energy beach dwelling Paphies elongata (Bivalvia: Mactroidea: Mesodesmatidae). Convergence with the surf clams (Donax: Tellinoidea: Donacidae)
Figure 1. Paphies elongata. A living individual in its life position in the sediment. Closed arrow represents the inhalant stream, open arrows the exhalant.
Aalborg Energy Vision scenarios
<p>EnergyPLAN scenario files</p>
Dataset for the paper "Ripa M, Di Felice LJ, Giampietro M (2021). The energy metabolism of post-industrial economies. A framework to account for externalization across scales. Energy, 214." https://doi.org/10.1016/j.energy.2020.118943
<p>This repository contains the data needed to reproduce the results in: </p> <p>Ripa M, Di Felice LJ, Giampietro M (2021). The energy metabolism of post-industrial economies. A framework to account for externalization across scales. Energy, 214." https://doi.org/10.1016/j.energy.2020.118943</p> <p>The dataset was also used for a case study in "Di Felice L., Dunlop T., Giampietro M., Kovacic Z., Renner A., Ripa M., Velasco-Fernández R. – Report on the Quality Check of the Robustness of the Narrative behind Energy Directives. MAGIC (H2020–GA 689669) Project Deliverable 5.4, 30 November 2018". (link: https://magic-nexus.eu/documents/d54-report-narratives-behind-energy-directives).</p> <p>Sources of data are specified in the dataset (under tab "References")</p>
Performance measurements for in-depth energy analysis of security algorithms and protocols for the Internet of Things
<p>Performance dataset of cryptographic algorithms running on the following embedded devices (results in ms):</p> <p><strong>nuc </strong>The NUCLEO-L073RZ is a STM32 Nucleo-64 Development Board of STMicroelectronics. It features the STM32L073RZT6 32~MHz ARM Cortex-M0+ microcontroller with 192~KB flash memory and 20~KB RAM.<br> <strong>msp </strong>The TI SimpleLink MSP-EXP432P401R development kit uses the MSP432P401R 48~MHz ARM Cortex-M4F microcontroller with 256~KB flash and 64~KB RAM.<br> <strong>max </strong>The MAXREFDES\#100 health sensor platform features the MAX32620 96~MHz ARM Cortex-M4F microcontroller with 2~MB flash and 256~KB RAM. It has a wide range of sensors, like a human body temperature sensor and a heart rate sensor.</p> <p>The measured cryptographic operations:</p> <ul> <li><strong>The basic arithmetic operations for elliptic curve cryptography </strong>(point addition~(PA), point doubling~(PD), point multiplication~(PM), and fixed-point multiplication~(PMG))</li> <li><strong>The AES symmetric-key cipher in five modes of operations</strong> (Electronic Codebook (ECB), Cipher Block Chaining (CBC), Counter (CTR), Counter with CBC-MAC (CCM), and Galois/Counter Mode (GCM))</li> <li><strong>Hash functions </strong>(SHA256 and SHA3-256)</li> </ul> <p>The performance of all identified basic operations is measured on the three platforms. 50 time measurements are done for each basic operation using the platforms' available timer. Moreover, the AES cipher operation is an encryption on 256 Bytes of data. We have chosen a multiple of the AES block size, because, longer time periods ensure less influence of potential timing inaccuracies like an early start and late end. For the hash function, the maximum input size of the respective algorithm for one round is chosen as follows: 55~B for SHA256 and 135~B for SHA3-256. The total available internal state size is not used for SHA256 and SHA3-256, as we take into account the minimal padding or suffix that is required for the last block of input data. Note that the most optimal scenario, i.e. the maximum amount of input data to fill up the internal state completely, is used for each of the operations.</p> <p>All basic operations are implemented using software libraries and cross-compiled with the GNU Tools for ARM Embedded Processors version 6-2017-q2-update. Furthermore, the compiler is configured to optimise for size (-Os). The RELIC-toolkit library is used to implement the EC arithmetic and the SHA256 hash function. We use the SECG K-256 prime elliptic curve, BASIC;COMBA;COMBA;MONTY;MONTY;SLIDE configuration for the prime field arithmetic, and PROJC;LWNAF;COMBS;INTER}} configuration for the prime elliptic curve arithmetic. For more information on how to configure RELIC and other examples that use it, we refer to the relic-toolkit wiki. The AES ciphers are implemented using Mbed TLS and SHA3 using wolfCrypt. We use the SHA3-256 hash function as specified in FIPS PUB 202.</p>
Annual Conference in Global Energy Transition Law and Policy
<p>The Environment Energy and Natural Resources (EENR) Center in association with the Center for U.S. and Mexican Law of University of Houston Law Center will be hosting a virtual symposium on Friday, April 17<sup>th</sup>, 2020, 9:00 a.m.- 12:30 p.m. (CDT), by way of our 1st Annual Conference in Global Energy Transition Law and Policy.</p> <p><strong>Topic</strong>: <strong>THE ENERGY TRANSITION IN A CLIMATE CONSTRAINED WORLD. AN INTEGRATIVE APPROACH IN GLOBAL ENERGY LAW AND POLICY ISSUES?</strong></p> <p><strong>Date</strong>: Friday, April 17<sup>th</sup>, 2020, from 9:00 to a.m.-12:30 p.m. (CDT)</p> <p>The conference, which is designed for all (policy-makers, researchers, professionals, students, etc.), will feature an outstanding faculty roster who will address the current energy transition issues.</p> <p><strong>Highlights</strong>:</p> <p>· Recent Developments in Energy Transition Law and Policy;</p> <p>· Energy Policy in Citizens’ Climate Assemblies;</p> <p>· Energy Communities in the European Union;</p> <p>· Europeanisation of the Development of Renewable Energy in Transition;</p> <p>· Finance and Risk Policy for The Just Transition to a Low-Carbon Economy;</p> <p>· A Sustainable and Prosperous Future: The Role of Climate Clubs and International Trade;</p> <p>· Decarbonization Options for Gas and Electricity Systems: Power-to-Gas and Carbon Capture Utilization and Storage;</p> <p>· Incorporation of DMDU decision-making under deep uncertainty) Framework into Energy Policy;</p> <p>· COVID-19 provides Warning about the Transition from Fossil Fuels. </p>
Business Models in Energy Communities: an analysis through legal lenses
<p>This research explores energy communities (EC) and their business models’ attributes. We develop a conceptual framework, which combines and extends the social, economic, environmental, and technological dimensions of value generation to include the legal dimension. The latter has been considered only implicitly in previous studies on this sector. Applying this framework to forty business cases of energy communities allows to identify six business model (BM) archetypes representative of ECs. This study can encourage and support new ventures in this sector to model their strategy and comply with the requirements.</p>
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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.