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13,117 results for “Maps”
Map 6 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 6. Geographic distribution of species of Abrahamia Randrian. & Lowry
Map 5 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 5. Geographic distribution of species of Abrahamia Randrian. & Lowry
Map 10 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 10. Geographic distribution of Abrahamia Randrian. & Lowry
Map 4 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 4. Geographic distribution of Abrahamia Randrian. & Lowry
Map 3 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 3. Geographic distribution of Abrahamia ditimena (H. Perrier) Randrian. & Lowry
Map 2 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 2. Geographic distribution of species of Abrahamia Randrian. & Lowry
Map 1 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 1. Geographic distribution of species of Abrahamia Randrian. & Lowry
Map 4 in A revision of Gomphostemma (Lamiaceae)
Map 4. Distribution range of Gocphostecca javanicuc.
Map 2 in A revision of Gomphostemma (Lamiaceae)
Map 2. Distribution range of Gocphostecca longipetaluc, G. niveuc, G. parvifloruc and G. thocsonii.
Map 5 in A revision of Gomphostemma (Lamiaceae)
Map 5. Distribution range of Gocphostecca leptodon, G. castersii, G. celissifoliuc and G. ovatuc.
The geological map of Italy 1:100,000 scale INSPIRE harmonised
<p>The INSPIRE Directive institute a European infrastructure for spatial information to support the environmental policies of the European Union. In the mainframe of the Directive, 34 different themes that represents different environmental information has been identified. One of this is the Geology theme; it is split into three subthemes and represent a "reference data theme” because it provides basic knowledge on the physical properties and composition of rocks and sediments, their structure and their age as represented in geological maps, as well as geomorphological features.</p> <p>In the feature catalogue of the INSPIRE application schema Geology has been defined the term lists for the information types. Some of these are fully compliant with the features defined in the 1:100.000 scale geological map database and are used in the semantic harmonization procedure.</p> <p>The Geological Map of Italy at 1:100,000 scale is, at present, the most detailed complete geological map of Italy. It consists of a collage of 277 sheets, and it was produced over a period of more than 100 years, with some sheets in two editions. In the late 1990s, it was transformed into a vector database by digitising from raster format. The dataset was revised, integrated, and corrected between 2005-2009 by the Geological Survey of Italy. In 2021-22 the dataset was harmonised according to the INSPIRE and GeoSciML data models.</p> <p>The whole area has been subdivided into three different .gml format dataset on geographic base: Northern, Central and Southern Italy.</p>
6 Feb 2023 'Kahramanmaras' earthquake displacement maps
<p>EW and NS displacement maps generated from single-pair feature tracking of the 25 Jan 2023 and 9 Feb 2023 Sentinel-2 images. Displacements were calculated with a custom version of the GIV software.</p>
Supplementary Information for "Mapping potential conflicts between global agriculture and terrestrial conservation"
<p>This archive contains supplementary figures from mapping potential conflicts between global agriculture and terrestrial conservation in 2010 and 2070. Please see the captions of these figures below.</p> <p><strong>Supplementary Figure 3.</strong> Distribution of regional land use by agricultural commodity and conservation priority (CP) index intervals (48 x 3 sub-figures).<br> <strong>Supplementary Figure 4.</strong> Distribution of regional land use (left) and global land use (right) of 48 agricultural commodities (48 x 3 sub-figures). The x-axis is the land use as a proportion of the total global production area.<br> <strong>Supplementary Figure 5.</strong> Comparison of the distribution of regional land use for 48 agricultural commodities between 2010 and 2070 scenarios (48 x 7 x 2 sub-figures).<br> <strong>Supplementary Figure 6.</strong> Comparison of land use and conservation conflict between national and global levels. The y-axis refers to the land use as a proportion of the total global production area. There are 48 agricultural commodities for 197 countries (197 x 48 x 3 sub-figures).<br> <strong>Supplementary Figure 7.</strong> Comparison of the land use distribution of top producers for 48 agricultural commodities between 2010 and 2070 scenarios (48 x 10 x 2 sub-figures).<br> <strong>Supplementary Figure 8.</strong> Spatial distribution maps of production areas for 48 agricultural commodities (48 x 3 maps).<br> <strong>Supplementary Figure 9.</strong> Conflict between conservation priority sites and (non-)domestic land use for 42 agricultural commodities associated with consumption in 197 countries (197 x 42 x 3 sub-figures).<br> <strong>Supplementary Figure 10.</strong> Land use maps of 42 agricultural commodities linked to consumption in 197 countries (197 x 42 x 3 maps).<br> <strong>Supplementary Figure 11.</strong> Conservation priority index and export rate of selected agricultural commodity for primary production cells (land use of each agricultural commodity > 10% of cell area). <strong>a</strong>) Current status in 2010. <strong>b</strong>) Shifts of conservation priority in 2070 (RCP 8.5). Triangles point-up and point-down to indicate increased and decreased CP, respectively. Density plots on top and right show cell densities corresponding to export rate and CP index, respectively.<br> <strong>Supplementary Figure 12.</strong> Maps of global conservation priority index in 2010 and 2070.<br> <strong>Supplementary Figure 13. a</strong>, Performance curves for prioritization per scenario 2010, 2070-RCP2.6, and 2070-RCP8.5). Curves show the average fraction of species' range covered in each scenario weighted by each species weight, divided by the total weight of species (y-axis), by a given fraction of the landscape (x-axis). <strong>b</strong>, Histograms and boxplots of all CP map pixels. Each jittered point in boxplots represents a map pixel.</p>
Results of the crowd-mapping action within the project TeRRIFICA [Dataset No. 2 dated 2023-01-19]
<p>The dataset includes the results of the crowd-mapping action within the project "Territorial RRI fostering innovative climate action" - TeRRIFICA (Horizon 2020 under GA 824489) dated 2023-01-19. The data are points added to the map by the users (volunteers) and represent locations where climate change-related issues occur regarding air temperature, air quality, water, soil, and wind (SPOTS). The second part of the dataset is related to the crowd-mapping users and their anonymized characteristics (USERS). More details are available at https://terrifica.eu/.</p>
Research Mapping of Trauma Experiences in Autism Spectrum Disorders: A Bibliometric Analysis. Bibliometrix file
<p>This is the Bibliometrix file of the paper entitled: Research Mapping of Trauma Experiences in Autism Spectrum Disorders: A Bibliometric Analysis.</p>
Dataset for Mapping State Transition Susceptibility in Quantum Annealing Part 2
<p>Dataset for the paper Mapping State Transition Susceptibility in Quantum Annealing, Part 2.</p> <p>README.md file is contained in the tar.gz file.</p>
Dataset for Mapping State Transition Susceptibility in Quantum Annealing Part 1
<p>Dataset for the paper Mapping State Transition Susceptibility in Quantum Annealing, Part 1.</p> <p>README.md file is contained in the tar.gz file.</p>
Dataset for Mapping State Transition Susceptibility in Quantum Annealing Part 4
<p>Dataset for the paper Mapping State Transition Susceptibility in Quantum Annealing, Part 4.</p> <p>README.md file is contained in the tar.gz file.</p>
Dataset for Mapping State Transition Susceptibility in Quantum Annealing Part 3
<p>Dataset for the paper Mapping State Transition Susceptibility in Quantum Annealing, Part 3.</p> <p>README.md file is contained in the tar.gz file.</p>
Table of Mappings
<p>A publicly accessible repository with the analyzed translations of synesthetic metaphors and quantitative analysis results arranged in tables</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.