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13,117 results for “Maps”
Base outline of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and Network for VOSViewer visualization
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Human Recombination Maps
<p>Human recombination maps inferred using pyrho as descibed in https://doi.org/10.1126/sciadv.aaw9206</p>
Swift/BAT-GUANO upper limits map for S240601co
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Swift/BAT-GUANO upper limits map for S240530a
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A metabolic map of E. coli's central metabolism
<p>A diagram showing the reactions, metabolites, co-factors, and enzymes in E. coli's central metabolism. A few select carbon sources and their catabolic pathways are shown as well.</p>
Raw and post-processed data from the study "Mapping the spectrotemporal regions influencing perception of French stop consonants in noise"
<p>The current dataset contains all data needed to replicate the study from Carranante et al. "Mapping the spectrotemporal regions influencing perception of French stop consonants in noise"<strong><br></strong></p> <p><strong>Use these data:</strong></p> <ol> <li>Download all these data, place them in a local directory of your computer. If you have MATLAB and you downloaded a local copy of the fastACI toolbox (open access at: <a href="http://github.com/aosses-tue/fastACI">GitHub</a>) you can recreate the figures of our paper.</li> <li>After initialising the toolbox (type 'startup_fastACI;', without quotation marks in MATLAB) and then type either of the following commands, to recreate the figure you want. To recreate the figures in the main text:<br> <pre><code>publ_carranante2024_figs('fig1','zenodo'); </code></pre> <p>To generate the figures of the supplementary materials:</p> <pre><code>publ_carranante2024_figs('fig1_suppl','zenodo');</code></pre> </li> </ol> <p><strong>References:</strong></p> <ul> <li>Paper not published yet</li> <li><strong>fastACI toolbox</strong>: Alejandro Osses, Léo Varnet. fastACI toolbox: the MATLAB toolbox for investigating auditory perception using reverse correlation (v1.2). Zenodo. doi:<a href="https://doi.org/10.5281/zenodo.7314014">10.5281/zenodo.7314014</a>. Supplement to: <a href="http://github.com/aosses-tue/fastACI/tree/v1.2">https://github.com/aosses-tue/fastACI/tree/v1.2</a></li> </ul>
FIGURE 1. Holotype location map, adapted from a in Fourteen new species of demosponges (Porifera) from three coastal fjords in southern British Columbia, Canada
FIGURE 1. Holotype location map, adapted from a British Columbia government map (reproduced by permission).
Mining threat maps and conservation priorities for freshwater biodiversity
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MAP 1 in Synopsis of Miridae (Hemiptera: Heteroptera) in Atlantic Forest Dominion, Espírito Santo State, Brazil: keys, diagnoses, new species, plant associations, and geographic distribution. Part I: Bryocorinae, Cylapinae and Deraeocorinae.
MAP 1. Vegetation types of Espírito Santo with inset showing location within Brazil (Based on Wikipedia 2023).
Swift/BAT-GUANO upper limits map for S240615ea
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Swift/BAT-GUANO upper limits map for S240615dg
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Adopting Micro-Frontends: Impacts and Challenges – A Systematic Mapping Study
<p><strong>Context: </strong>Incorporating new technologies into monolithic frontend projects has been challenging for software development teams, due to issues like code redundancy, inconsistency, and scalability. To address these challenges, the micro-frontend architecture emerged, offering a more modular and independent solution.</p> <p><strong>Goal:</strong>This study aims to investigate the impacts and challenges of adopting the micro-frontend architecture. <br><strong>Method:</strong> We conducted a Systematic Mapping Study (SMS) to identify the architectural patterns and approaches used in micro-frontends. Additionally, we carried out a survey to validate the strategies and challenges of adopting this architecture.</p> <p><strong>Results:</strong> The findings highlighted the relevance of the micro-frontend architecture in modernizing the frontend layer. However, its adoption is closely tied to the complexity and size of the project and team. Therefore, implementing the micro-frontend architecture with a well-defined set of methodological and technological decisions increases the likelihood of successful adoption.</p> <p><em>Keywords:</em> <em>Micro-frontend, Systematic Mapping Study, Challenges, Survey</em></p> <p> </p> <p> </p>
A dataset for assessing ChatGPT capabilities to create concept maps for secondary school students
<p>The dataset was compiled to examine the use of ChatGPT 3.5 in educational settings, particularly for creating and personalizing concept maps. <br>The data has been organized into three folders: Maps, Texts, and Questionnaires. The Maps folder contains the graphical representation of the concept maps and the PlanUML code for drawing them in Italian and English. The Texts folder contains the source text used as input for the map's creation The Questionnaires folder includes the students' responses to the three administered questionnaires and the submitted questionnaires.</p>
Swift/BAT-GUANO upper limits map for S240618ah
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Swift/BAT-GUANO upper limits map for S240621dy
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Swift/BAT-GUANO upper limits map for S240622h
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Swift/BAT-GUANO upper limits map for S240627by
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Map of Aboveground Biomass and Uncertainty of Haloxylon in the Ancient Manas Lake Basin Area, Western Junggar Basin, Xinjiang, China
<p>This dataset is the research outcome of the National Natural Science Foundation of China project "Spatiotemporal Evolution and Attribution of Haloxylon Aboveground Biomass in the Junggar Basin under the Background of Climate Change" (Grant No.42261062) and the Natural Science Foundation of Xinjiang Uygur<br> Autonomous Region, China project "Remote Sensing Technology for Acquiring Aboveground Biomass of Haloxylon Forests in the Ancient Manas Lake Basin Sedimentary Area" (Grant No.2022D01A97). It reflects the map of aboveground biomass and uncertainty of Haloxylon in the ancient Manas Lake basin area, western Junggar Basin. The data is in tif format, with a coordinate system of UTM 45N and a resolution of 30 meters. It contains three bands, namely "AGB", "Uncertainty", and "AOA", representing "Haloxylon Aboveground Biomass", "Uncertainty of Haloxylon Aboveground Biomass", and "Areas of Applicability and Non-applicability".</p> <p>please cite "Yang XF. 2025. Mapping desert shrub aboveground biomass in the Junggar Basin, Xinjiang, China using Quantile Regression Forest (QRF). PeerJ 13:e19099 http://doi.org/10.7717/peerj.19099".</p>
Event catalog, Sp phase picks, and mapped Los Angels basin depth
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HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution
<p>This dataset contains 365 hyperspectral albedo maps of Earth with a temporal resolution of 1 day. The hyperspectral albedo maps are built from a 10-year average of the MODIS Surface Reflectance dataset (MCD43D42-48, version 6.1). Using a Principal Component Analysis (PCA) regression algorithm we combine different hyperspectral laboratory and in-situ measurements datasets of various dry soils, vegetation surfaces and mixure of both to reconstruct the albedo maps in the entire wavelength range from 400 to 2500 nm. The hyperspectral albedo maps have a spatial resolution of 0.25° in latitude and longitude.</p> <p>Additional hyperspectral albedo maps with a coarser spatial and spectral resolutions are available in the "Data sets" supplemetary material of "HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution" (Roccetti et al., 2024, https://doi.org/10.5194/egusphere-2024-167) or upon request to the corresponding author.</p>
ScienceDex guides
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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.