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Dataset results
594 results for “mission”
Supplementary material 1 from: Cassetta L, Rodrigues PM, Andreu T, Botta B, Brandau S, Brierley C, Wilson C, Dadeshidze I, Forzi L, Ortelli F, Quintas MA.C (2020) Beating Cancer by 2030: Mission Impossible? Research Ideas and Outcomes 6: e61662. https://doi.org/10.3897/rio.6.e61662
Booklet of the Workshop - Beating cancer by 2030: mission impossible?
Figure 2 from: Cassetta L, Rodrigues PM, Andreu T, Botta B, Brandau S, Brierley C, Wilson C, Dadeshidze I, Forzi L, Ortelli F, Quintas MA.C (2020) Beating Cancer by 2030: Mission Impossible? Research Ideas and Outcomes 6: e61662. https://doi.org/10.3897/rio.6.e61662
Figure 2 COST Actions representatives and Stakeholders short presentations on their activities in Beating Cancer.
Figure 1 from: Cassetta L, Rodrigues PM, Andreu T, Botta B, Brandau S, Brierley C, Wilson C, Dadeshidze I, Forzi L, Ortelli F, Quintas MA.C (2020) Beating Cancer by 2030: Mission Impossible? Research Ideas and Outcomes 6: e61662. https://doi.org/10.3897/rio.6.e61662
Figure 1 Dr Wolfgang Burtscher, Deputy Director General at DG Research and Innovation (EC) (L) opened the event presenting an overview of the state of play of current Horizon Europe negotiations and the planned Mission in the field of Cancer. Dr Sanja Damjanovic, Minister for Science in Montenegro (R), presented the roadmap for establishing The South East European International Institute for Sustainable Technologies (SEEIIST), which aims developing Hadron Cancer Therapy and Biomedical Research with Protons and Heavy Ions.
FIGURES 55–56 in Neotropical Agromyzidae (Diptera) of the Mission Géodésique de l'Équateur: Becker (1920) revisited
FIGURES 55–56. Notomyza bipartita (Becker), (55) body, lateral, (56) Head, lateral.
A new dataset of rain cell generated from observations of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar and visible and infrared scanner and microwave imager
<p>This new dataset (M.TRMM-1B01-1B11-2A25-PMD-Rain) contains orbit-level data with 5 km spatial resolution and 0.25 km vertical resolution. It is produced by merging TRMM PR, VIRS and TMI measurements at PR pixel resolution combined with rain cell identification. The near-surface rain rate, profiles of rain rate and precipitation reflectivity factor, visible and infrared signals and microwave signals can be obtained in the dataset. The dataset provides new important data for in-depth research on the structural characteristics of rain cells and supports the study of precipitation mechanisms.</p>
Supplementary plots for "Ephemeris Matching Reveals False Positive Validated and Candidate Planets From the K2 Mission"
<p>Supplementary plots for false positive matches as described in section 3 of the paper.</p>
Data for the manuscript: Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman Smoother: Observing System Simulation Experiments (OSSEs)
<p>Data for the manuscript: "Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman Smoother: Observing System Simulation Experiments (OSSEs)" at Geoscientific Model Development.</p> <p>The file "Experiments.tar" contains all the ECHAM-HAM simulations. Each experiment has an ensemble mean (ensmean) and an ensemble standard deviation (ensstd) file. The "NatureRuns.tar" contains the Nature Runs used in this study. The file "SPEXone.tar" contains all the SPEXone related data used in this study.</p>
A Two-time-level Model for Mission and Flight Planning of an Inhomogeneous Fleet of Unmanned Aerial Vehicles
<p>We consider the mission and flight planning problem for an inhomogeneous fleet of unmanned aerial vehicles (UAVs). Therein, the mission planning problem of assigning targets to a fleet of UAVs and the flight planning problem of finding optimal flight trajectories between a given set of waypoints are combined into one model and solved simultaneously. Thus, trajectories of an inhomogeneous fleet of UAVs have to be specified such that the sum of waypoint-related scores is maximized, considering technical and environmental constraints. Several aspects of an existing basic model are expanded to achieve a more detailed solution. A two-level time grid approach is presented to smooth the computed trajectories. The three-dimensional mission area can contain convex-shaped restricted airspaces and convex subareas where wind affects the flight trajectories. Furthermore, the flight dynamics are related to the mass change, due to fuel consumption, and the operating range of every UAV is altitude-dependent. A class of benchmark instances for collision avoidance is adapted and expanded to fit our model and we prove an upper bound on its objective value. Finally, the presented features and results are tested and discussed on several test instances using GUROBI as a state-of-the-art numerical solver.</p>
Fig. 1 in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 1 - Carte schématique du Parc National Moukalaba-Doudou (zone A) et de la zone à Nord (zone B) comprenant les sites examinés.
Fig. 11 in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 11 - Copelatus distinguendus Régimbart, 1895. a) Habitus. b) Pénis vu du côté gauche. c) Pénis vu dorsalement. d) Pénis vu du côté droit. e) Pénis vu du côté droit du Lectotype du MNHN, désigné par Turner & Balke.
Fig. 8 - Copelatus bapounouensis n. esp. a in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 8 - Copelatus bapounouensis n. esp. a), b) Habitus. c) Pénis vu du côté gauche. d) Pénis vu dorsalement. e) Pénis vu du côté droit.
Fig. 10 in Noteridae, Dytiscidae (Coleoptera) du Gabon (11ème partie). Parc National Monts Birougou (mission 2016)
Fig. 10 - Hydrovatus batekensis Bilardo & Rocchi, 2016. a) Habitus ♂. b) Habitus ♀. c) Pénis vu dorsalement. / Pene in vista dorsale. / Penis dorsal view. d) Apex du pénis. / Apice del pene. / Apex of penis. e) Pénis vu du côté droit. / Pene in vista laterale destra. / Penis right lateral view.
Fig. 6 - Copelatus birougouensis n. esp. a in Noteridae, Dytiscidae (Coleoptera) du Gabon (11ème partie). Parc National Monts Birougou (mission 2016)
Fig. 6 - Copelatus birougouensis n. esp. a) Habitus. b) Elytre gauche. / Elitra sinistra. / Left elytron. c) Pénis vu du côté gauche. / Pene in vista laterale sinistra. / Penis left lateral view. d) Pénis vu dorsalement. / Pene in vista dorsale. / Penis dorsal view. e) Pénis vu du côté droit. / Pene in vista laterale destra. / Penis right lateral view.
Fig. 4 - Liodessus contractipenis n. esp. a in Noteridae, Dytiscidae (Coleoptera) du Gabon (11ème partie). Parc National Monts Birougou (mission 2016)
Fig. 4 - Liodessus contractipenis n. esp. a) Habitus. b) Pénis vu dorsalement. / Pene in vista dorsale. / Penis dorsal view. c) Pénis vu du côté droit. / Pene in vista laterale destra. / Penis right lateral view.
Gravity rate of change from slow tectonics and its detectability by MAGIC mission (Dataset)
Open the record for dataset details and reuse information.
FIGURE 2 in Revisiting Glaziou and the botany of the second Cruls Mission: three new species and 23 accepted species of Myrcia (Myrtaceae) collected from Goiás, Brazil and a detailed description of his "Goyaz" itinerary
FIGURE 2. Myrcia siriacoana (Glaziou 21148, holotype at P).
SolSysELTs2022 Part I: ESA Planetary Science missions + Q&A
<p>Presentation and video recording</p>
SolSysELTs2022 Part II: Comets and Asteroids: Synergies between space missions and ELTs
<p>Invited talk: presentation and video recording</p>
Mission océanographique SEAMOUNT 2. Compte-rendu et liste des stations
<p>Cruise report and station list</p>
Replication data for "Spatial Resolution in Inverse Problems: The EZIE satellite mission"
<p>Pandas dataframe contain synthetic measurements of an EZIE satellite.</p>
ScienceDex guides
Understand access before you commit
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.