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423
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Dataset results
423 results for “spatial use”
Data from: Large-scale functional networks identified from resting-state EEG using spatial ICA
Several methods have been applied to EEG or MEG signals to detect functional networks. In recent works using MEG/EEG and fMRI data, temporal ICA analysis has been used to extract spatial maps of resting-state networks with or without an atlas-based parcellation of the cortex. Since the links between the fMRI signal and the electromagnetic signals are not fully established, and to avoid any bias, we examined whether EEG alone was able to derive the spatial distribution and temporal characteristics of functional networks. To do so, we propose a two-step original method: 1) An individual multi-frequency data analysis including EEG-based source localisation and spatial independent component analysis, which allowed us to characterize the resting-state networks. 2) A group-level analysis involving a hierarchical clustering procedure to identify reproducible large-scale networks across the population. Compared with large-scale resting-state networks obtained with fMRI, the proposed EEG-based analysis revealed smaller independent networks thanks to the high temporal resolution of EEG, hence hierarchical organization of networks. The comparison showed a substantial overlap between EEG and fMRI networks in motor, premotor, sensory, frontal, and parietal areas. However, there were mismatches between EEG-based and fMRI-based networks in temporal areas, presumably resulting from a poor sensitivity of fMRI in these regions or artefacts in the EEG signals. The proposed method opens the way for studying the high temporal dynamics of networks at the source level thanks to the high temporal resolution of EEG. It would then become possible to study detailed measures of the dynamics of connectivity.
Data from: How big of an effect do small dams have? Using geomorphological footprints to quantify spatial impact of low-head dams and identify patterns of across-dam variation
Longitudinal connectivity is a fundamental characteristic of rivers that can be disrupted by natural and anthropogenic processes. Dams are significant disruptions to streams. Over 2,000,000 low-head dams (<7.6 m high) fragment United States rivers. Despite potential adverse impacts of these ubiquitous disturbances, the spatial impacts of low-head dams on geomorphology and ecology are largely untested. Progress for research and conservation is impaired by not knowing the magnitude of low-head dam impacts. Based on the geomorphic literature, we refined a methodology that allowed us to quantify the spatial extent of low-head dam impacts (herein dam footprint), assessed variation in dam footprints across low-head dams within a river network, and identified select aspects of the context of this variation. Wetted width, depth, and substrate size distributions upstream and downstream of six low-head dams within the Upper Neosho River, Kansas, United States of America were measured. Total dam footprints averaged 7.9 km (3.0-15.3 km) or 287 wetted widths (136-437 wetted widths). Estimates included both upstream (mean: 6.7 km or 243 wetted widths) and downstream footprints (mean: 1.2 km or 44 wetted widths). Altogether the six low-head dams impacted 47.3 km (about 17%) of the mainstem in the river network. Despite differences in age, size, location, and primary function, the sizes of geomorphic footprints of individual low-head dams in the Upper Neosho river network were relatively similar. The number of upstream dams and distance to upstream dams, but not dam height, affected the spatial extent of dam footprints. In summary, ubiquitous low-head dams individually and cumulatively altered lotic ecosystems. Both characteristics of individual dams and the context of neighboring dams affected low-head dam impacts within the river network. For these reasons, low-head dams require a different, more integrative, approach for research and management than the individualistic approach that has been applied to larger dams.
Data used for submission entitled "A spatial analysis of Multiplayer Online Battle Arena mobility traces"
<p>A mobility trace dataset for the popular Multiplayer Online Battle Arena game "Heroes of Newerth"</p>
Few species, higher abundance or many species and lower abundance of birds of prey: effects of land use changes at different spatial scales
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Spatial Informatics Group (SIG)_ Cameroon - DEMO ONLY - Land Use Change (French)
Exemple de validation de l'occupation du sol au Cameroun
Spatial Informatics Group (SIG)_ Cameroon - DEMO ONLY - Land Use Change (French)
Exemple de validation de l'occupation du sol au Cameroun
Spatial Informatics Group (SIG)_ Cameroon - DEMO ONLY - Land Use Change (French)
Exemple de validation de l'occupation du sol au Cameroun
Spatial Informatics Group (SIG)_ Cameroon - DEMO ONLY - Land Use Change (French)
Exemple de validation de l'occupation du sol au Cameroun
Spatial Informatics Group (SIG)_ Cameroon - DEMO ONLY - Land Use Change (French)
Exemple de validation de l'occupation du sol au Cameroun
Spatial Informatics Group (SIG)_ Cameroon - DEMO ONLY - Land Use Change (French)
Exemple de validation de l'occupation du sol au Cameroun
Spatial Informatics Group (SIG)_CEO Interpretation - Demo - Land Use (South Africa)
Demo project land use identification and land use change detection
Spatial Informatics Group (SIG)_CEO Interpretation - Demo - Land Use
Demo project land use identification and land use change detection
Spatial Informatics Group (SIG)_CEO Interpretation - Demo - Land Use
Demo project land use identification and land use change detection
Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning
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Supplementary digital data for Exposure of Insects to Current Use Pesticide Residues in Soil and Vegetation along Spatial and Temporal Distribution in Agricultural Sites
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Appendix B of Berg, Afruni et al. 2024, entitled:' Mapping the spatial extent of HI-rich absorbers using MgII absorption along gravitational arcs', accepted for publication on A&A
<p>J1527 velocity profiles</p>
Appendix C of Berg, Afruni et al. 2024, entitled:' Mapping the spatial extent of HI-rich absorbers using MgII absorption along gravitational arcs', accepted for publication on A&A
<p>J0033 velocity profiles</p>
Spatial patterns of phylogenetic diversity and endemism in the Western Ghats, India: a case study using ancient predatory arthropods
<p><span><span><span>The Western Ghats (WG) mountain chain in peninsular India is a global biodiversity hotspot, one in which patterns of phylogenetic diversity and endemism remain to be documented across taxa. We used a well-characterized community of ancient soil predatory arthropods from the WG to understand diversity gradients, identify hotspots of endemism and conservation importance, and highlight poorly-studied areas with unique biodiversity. We compiled an occurrence dataset for 19 species of scolopendrid centipedes, which was used to predict areas of habitat suitability using bioclimatic and geomorphological variables in Maxent. We used predicted distributions and a time-calibrated species phylogeny to calculate taxonomic and phylogenetic indices of diversity, endemism and turnover. We observed a decreasing latitudinal gradient in taxonomic and phylogenetic diversity in the WG, which supports expectations from the latitudinal diversity gradient. The southern WG had the highest phylogenetic diversity and endemism, and was represented by lineages with long branch lengths as observed from relative phylogenetic diversity/endemism. These results indicate the persistence of lineages over evolutionary time in the southern WG and are consistent with predictions from the southern WG refuge hypothesis. The northern WG, despite having low phylogenetic diversity, had high values of phylogenetic endemism represented by distinct lineages as inferred from relative phylogenetic endemism. The distinct endemic lineages in this sub-region might be adapted to life in lateritic plateaus characterized by poor soil conditions and high seasonality. Sites across an important biogeographic break, the Palghat Gap, broadly grouped separately in comparisons of species turnover along the WG. The southern WG and Nilgiris, adjoining the Palghat Gap, harbour unique centipede communities, where the causal role of climate or dispersal barriers in shaping diversity remains to be investigated. Our results highlight the need to use phylogeny and distribution data while assessing diversity and endemism patterns in the WG.</span></span></span></p>
Supplementary data to Geographic patterns of vascular plant diversity and endemism using different taxonomic and spatial units
<p>The zip file includes a series of 72 raster maps in ascii format depicting the spatial distribution of the geographic boundaries of Chile for three biodiversity indices, four spatial resolutions and three taxonomic units based on both specimen data and species distribution models. Filenames of maps generated with species distribution models are prefixed with "SDM". Otherwise, all maps were named using the following codes for biodiversity indices, spatial resolutions and taxonomic units.</p> <p><strong>Biodiversity indices</strong>:</p> <p>TR: Taxon Richness</p> <p>WE: Weighted Endemism</p> <p>TT: Taxon Turnover</p> <p><strong>Spatial resolutions</strong>:</p> <p>100km, 75km, 50km and 25km on a side of a grid-cell</p> <p><strong>Taxonomic units</strong>:</p> <p>SP: Species</p> <p>GEN: Genus</p> <p>OTU: Operational Taxonomic Units</p>
Results for spatial relation encoding and road selection using GCN
<p>This folder contains the results of the experiment described in Chapter D of my thesis "Exploring the potential of deep learning for map generalization" about road selection, for more explanation on the experiments please referee to this Chapter. The result is presented as a shapefile with a field p_kept which represents the probability to be kept in the generalized road network for each road section. </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.