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2,045 results for “Plan S”
Using progress sets on non-deterministic transition systems for multiple UAV motion planning
<p>In this demonstration, two Aerial Robotic Workers are given a surveillance task where the first drone (red circle) starts in the blue area, the second drone (blue circle) starts in the red area, and the drones need to infinitely often exchange their positions while avoiding collisions and avoiding leaving the flying area. A controller for the multi-agent system guaranteeing the satisfaction of this high-level task is synthesized by first considering a non-deterministic and finite abstraction of the dynamical system, and then using the notion of progress sets corresponding to sets of state-control pairs for which eventual progress towards the desired goal is guaranteed.</p>
Decentralized Motion Planning with Collision Avoidance for a Team of UAVs under High Level Goals
<p>The video illustrates simulation and experimental results of a team of unmanned aerial vehicles executing Linear Temporal Logic (LTL) tasks. More specifically, given a certain LTL task over predefined regions of interest, each agent derives a high-level plan that satisfies the given task. Then, it executes the plan using a continuous controller that is based on decentralized navigation functions, which also guarantee inter-agent collision avoidance. The video shows one simulation and two experimental scenarios.</p>
Case study input data set for article "Stochastic planning of energy system transformation pathways under uncertain industry demands"
<p>The data set contains input data for the model EMPRISE of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. </p>
Data for: Planning for a future of changes: prioritizing areas for conservation of small mammals in the Caatinga, Brazil
<p>Human land use and climate change are two of the main threats affecting biodiversity, especially in arid/semiarid regions. The most effective way to protect the species in these ecosystems against these threats is through the delimitation of Protected Areas (PAs). However, such PAs need to be targeted cost-efficiently and consider future climate change. We identify priority areas to preserve small mammal species in the Caatinga in the present and in the future of climate change. We also evaluate how well these priority areas are protected by current PAs and identify ways forward to improve their protection. We use ecological niche models and Zonation spatial prioritisation software to identify the top 30% priority areas to preserve small mammal species under current climate and land use scenarios, besides considering optimistic and pessimistic scenarios of future climate change. We also evaluate how much these priority areas are covered by current PAs, identify ways to further improve their protection using hierarchical mask analysis, and evaluate species mean distribution coverage. The consequences of climate change will not hugely impact the distribution of priority areas for species conservation in the Caatinga. Around 13% of the identified priority areas overlap with current PAs, and planning the expansion of PAs considering integral protection areas increases the coverage of priority areas to more than 18% and captures more than 72% of species-suitable areas. Our prioritisations take into account climate change and provide low risk if conducted as a "no-regrets" conservation action. These priority areas are poorly supported by the Brazilian PA system, and need of further protection. One cost-effective option could be to upgrade some Sustainable Use PAs into more restrictive ones. Securing these priority areas helps preserve the long-term ecosystem functioning and to prevent biodiversity loss in a changing world.</p>
Fig. 1 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 1: Map of the study area.
Substantial differences in source contributions to carbon emissions and health damage necessitate balanced synergistic control plans in China
<p>This dataset presents the ratio of gridded contributions to PM2.5 exposure-related health damage and CO2 emissions, alongside the gridded contributions to social costs from health damage, CO2-related climate change, and integrated costs. Additionally, the key code for calculating semi-normalized emission sensitivities based on CMAQ Adjoint outputs and source attribution is provided.</p>
Data Management Plan for PsyCoMed
<p>Ongoing Data management plan for PsyCoMed 14-06-2024</p>
Fig. 6 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 6: Scatterplot matrices for Large (A) and Linear (B) FM functions.
Fig. 8 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 8: High values of the FP c index as estimated by Local Moran's I test.
Fig. 5 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 5: Spatial representation of coastal vessels activity indexes (Ac).
Fig. 4 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 4: Spatial representation of the Coastal fishery suitability index (Sc).
Fig. 3 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 3: Spatial representation of the criteria ranking taken into account in MCDA.
Fig. 5 in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 5. Invasive fish Perccottus glenii from pond of B.bombina (Ainavas).
Fig. 6. B in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 6. B.bombina populations found in Latvia before and after BAP.
Fig. 1. B in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 1. B.bombina tadpoles in aquaculture in the Latgales Zoo.
Fig.3 in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig.3. Two new micro-reserves Strauti and Katriniski, established for B.bombina after BAP.
Fig. 4. Optimized pond for B in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 4. Optimized pond for B.bombina population in Katriniski.
Fig. 3 in The Implementation Of Nature Management Plans For Specially Protected Nature Territories In Latvia: Stakeholder Awareness, Applying Gis Tools, Indicators For Management
Fig. 3. Map of the landscape terrain at Nature park "Dridža ezers" ("Lake Dridža")
Fig. 1 in The Implementation Of Nature Management Plans For Specially Protected Nature Territories In Latvia: Stakeholder Awareness, Applying Gis Tools, Indicators For Management
Fig. 1. Interactive map of recreation sites at Nature park "Dridža ezers" ("Lake Dridža")
Event Data from Production Planning Simulation with Sustainability Considerations
<p>Synthetic event data generated by an AnyLogic simulation for the evaluation of parameterized production planning scenarios with the consideration of both economic and sustainabiliy related KPIs.</p> <p>The event data file is provided in the standard OCEL 2.0 SQLITE format (<a href="https://ocel-standard.org/">https://ocel-standard.org/</a>). It can for example be opened with the following webapp: <a href="https://ocelot.pm/">https://ocelot.pm/</a>.<br>Additionally, there is a PDF file of a generated visualization included in this publication.</p> <p> </p> <p>This dataset was produced as a side-product from the "Production Planning for Sustainability" app of CRD-B3.II within the Internet of Production (IoP) research project.</p> <p><em>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany ́ s Excellence Strategy – EXC-2023 Internet of Production – 390621612</em></p>
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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)
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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.