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2,373 results for “Platform”
Data set from the 6G-SANDBOX platforms benchmarking and assessment for different documented trial networks - Oulu facility
<p>This data set covers core network and end-to-end measurements at the Oulu facility, part of the 6G-SANDBOX infrastructure.</p>
Data set from the 6G-SANDBOX platforms benchmarking and assessment for different documented trial networks - Malaga facility
<p>This data set covers core network and end-to-end measurements at the Malaga facility, part of the 6G-SANDBOX infrastructure.</p>
Data set from the 6G-SANDBOX platforms benchmarking and assessment for different documented trial networks - Berlin facility
<p>This data set covers core network and end-to-end measurements at the Berlin facility, part of the 6G-SANDBOX infrastructure.</p>
Fig. 2 in Faunal and facies changes at the Early-Middle Frasnian boundary in the north-western East European Platform
Fig. 2. Local stratigraphical chart of the north−central part of the Main Devonian Field.
Data set from the 6G-SANDBOX platforms benchmarking and assessment for different documented trial networks - Athens facility
<p>This data set covers core network and end-to-end measurements at the Athens facility, part of the 6G-SANDBOX infrastructure.</p>
Mean boat speed over the new NW Mediterranean PSSA on the UNEP-MAP Knowledge Management Platform
<p>This video was created to represent on KMaP (<a href="https://kmap.info-rac.org/">https://kmap.info-rac.org/</a>) mean boat speed during 2023 summer, extrapolated from AIS data taken from NETCCOBAMS (<a href="https://accobams.org/">https://accobams.org/</a>) over 1km square cells grid covering the entire <a href="https://wwwcdn.imo.org/localresources/en/KnowledgeCentre/IndexofIMOResolutions/MEPCDocuments/MEPC.380%2880%29.pdf">new PSSA</a> (Particularly Sensitive Sea Area). The purpose of the video is to showcase the variation of the mean speed of all the boats travelling through each cell of the grid on weekly basis, from the 5th of June to the 2nd of September 2023 and represents a starting point to simulate how AIS data could be used to monitor cetacean-boats strike risk.</p>
Legion: A Platform for Gaussian Wavepacket Nonadiabatic Dynamics
<p>These datasets contain the initial conditions and trajectories generated by the newly developed Legion using <em>Ab Initio</em> Multiple Spawning (AIMS) for both fulvene with different initial condistions and DMABN. We performed the dynamics varying multiple parameters and introduced new approximations that avoid the need to compute the nonadiabatic coupling (NACV).</p> <p>The initial condition for fulvene were obtained from (doi.org/10.1039/D0CP01353F and doi.org/10.1021/acs.jctc.3c01159) and for DMABN were obtained from (doi.org/10.1039/D0CP01353F). For fulvene the dynamics used CASSCF in the <strong>Columbus software (version 7.2)</strong> and <strong>OpenMolcas (version 24.06)</strong>. For CASPT2 it used only OpenMolcas. The DMABN dynamics were performed with TDDFT using <strong>ORCA (version 5.0.4)</strong> and <strong>Gaussian (version 16)</strong>.</p>
Dataset for "Switching Residues: A Platform for the Synthesis of Fidaxomicin Antibiotics"
<p>ZIP File:</p> <p>Characterisation data (such as e.g. NMR, IR, MS spectra)</p> <p>NMR raw data, .mnova files</p> <p> </p>
Case studies of the usage of the SAFARI platform
<p>The dataset contains the JSON files generated with the Profiler and the charts that visualise the data.</p>
Artifact of the paper: Scheduling with lightweight predictions in power-constrained HPC platforms
<p>Please refer to the <a href="https://zenodo.org/records/13961003/files/artifact-overview.pdf?download=1&preview=1">artifact-overview.pdf</a> file in this dataset for instructions to reproduce the experiments we have conducted for this article, or for more context about the article.</p>
Electrical connections of sling load platform
<p>The image describes the electrical connections of all components of the sling load platform. </p>
FIG. 1 in Radiolarian biostratigraphy of Paleogene deposits of the Russian Platform (Voronesh Anticline)
FIG. 1. — Locality of studied territory (within the boundary of the ex-USSR).
FIG. 2 in Radiolarian biostratigraphy of Paleogene deposits of the Russian Platform (Voronesh Anticline)
FIG. 2. — Structural scheme of the Voronesh Anticline (after Semenov 1965).
FIG. 3 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 3. — Geology of the Vercors region and location of the studied areas.
Students as citizen scientists: project-based learning through the iNaturalist platform could provide useful biodiversity data
<p>This is a compilation of data from iNaturalist platform based on the geographic limits of brazilian semiarid until 28 october, 2022.</p>
Supplemental data for: Longitudinal, multi-platform metagenomics yields a high-quality genomic catalog and guides an in vitro model for cheese communities
<p><span>Microbiomes are intricately intertwined with human health, geochemical cycles, and food production. While many microbiomes of interest are highly complex and experimentally intractable, cheese rind microbiomes have proven powerful model systems for the study of microbial interactions. To provide a more comprehensive view of the genomic potential and temporal dynamics of cheese rind communities, we combine longitudinal, multi-platform metagenomics of three ripening washed-rind cheeses with whole genome sequencing of community isolates. Sequencing-based approaches revealed a highly reproducible microbial succession in each cheese, co-existence of closely related <em>Psychrobacter</em> species, and enabled the prediction of plasmid and phage diversity and their host associations. Combined with culture-based approaches, we established a genomic catalog and a paired 16-member in vitro washed rind cheese system. The combination of multi-platform metagenomic time-series data and an <em>in vitro</em> model provides a rich resource for further investigation of cheese rind microbiomes both computationally and experimentally. </span></p>
Intra‐season variations in distribution and abundance of humpback whales in the West Antarctic Peninsula using cruise vessels as opportunistic platforms
<p class="MsoNormal"><span>Following the near collapse of several whale populations in the Southern Ocean, some baleen whale stocks are on the rise again. Combined with the recent increase in fishery of Antarctic Krill (Euphausiia superba) around the Western Antarctic Peninsula (WAP) there is a growing need to quantify several aspects of some of these whale species in this area. In this study we use data collected from tourist vessels performing several trips during the Austral summer to quantify the beginning of the foraging season for Antarctic Humpback whales, estimate abundance, as well as use predictive habitat model to identify potential areas for interaction between this species and fishing vessels. </span></p> <p class="MsoNormal"><span>The following dataset includes the GPS track of both vessels and all marine mammal and seabird observations collected on two ships between late November 2019 and mid-January 2020. These data were gathered following standard Distance Sampling protocols, recorded in Logger2010 software </span>(<a href="http://www.marineconservationresearch.co.uk/downloads/logger-2000-rainbowclick-software-downloads/">http://www.marineconservationresearch.co.uk/downloads/logger-2000-rainbowclick-software-downloads/</a>), stored in MS Access database files and subset in .RData files for analysis.</p>
Chacterizing Toolkits for Platform Independent Chatbot Development
<p>Context: With the increase in the use of conversational agents, especially those based on written language (chatbots), users can interact with machines through natural language. Problem: The growing demand for chatbots has raised problems related to building and deploying these conversational agents to different platforms, implying adaptation costs. Solution: We performed a systematic grey literature review to identify a set of DSL-supported tools for platform-independent chatbot development. IS Theory: In this research, we considered the Theory of Behavioral Decision scoping decision processing, the structure of choice, decision processes, and the Theory of Information Processing in what concerns data learning. Method: This research sought to list tools and DSLs for developing platform-independent chatbots, carried out through a review of the grey literature, addressing a qualitative analysis of primary studies. Summary of Results: After conducting the studies, we discovered 14 tools and 10 DSLs supporting the construction of platform-independent chatbots. Contributions and Impact in the IS area: A characterization of tools and DSLs in state of art supporting the construction of platform-independent chatbots.</p> <p>Protocolo de pesquisa, contém:</p> <ul> <li>String de Busca e Sinônimos</li> <li>Pequisas retornadas a partir da String de busca</li> <li>Execução dos critérios de inclusão e exclusão</li> <li>Avaliação da qualidade</li> <li>Extração de Dados</li> </ul>
RGB-LWIR Labeled Dataset for Air-based platforms
<p>Most object detection models deployed on unmanned aerial systems (UAS) focus on identifying objects in the visible spectrum, also known as Red-Green-Blue (RGB) imagery, due to availability and cost. Fusing long wave infrared (LWIR) images with RGB imagery can increase the resiliency and overall performance of a machine learning (ML) object detection model in changing environments. Because LWIR based ML models are not commonly utilized or studied there exists a gap in the literature that discusses performance metrics between LWIR, RGB and LWIR-RGB fused ML object detection models from various ground and air collection platforms. Understanding multispectral ML object detection performance from UAS is highly meaningful because of the increasing convergence of ML and UAS technologies. Therefore, the need to establish baseline performance metrics for how certain ML models perform on various ground and air platforms is necessary for effective implementation and deployment of these two technologies. Using object detection results from both ground and air platforms, this research provided a baseline RGB ML model mean average precision (mAP) of 95.1%, a LWIR ML model mAP of 94.5%, and a blended RGB-LWIR ML model mAP of 92.6%. This research contributes to the literature a labelled training dataset of 12,600 images for ground-based and air-based RGB, LWIR, and RGB-LWIR fused imagery, to encourage further multispectral machine-driven object detection research from both air and ground platforms. </p>
Modelling Political Aggression On Social Media Platforms
<p>This dataset was curated from social media for the purpose of research. LICENSE: CC-BY-SA-NC 4.0</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.