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1,868 results for “Spatial Data”
Data and Code for 3D flightpaths reveal the development of spatial memory in wild hummingbirds
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Data and Code for "3D flightpaths reveal the development of spatial memory in wild hummingbirds"
<p>Data and Code for "3D flightpaths reveal the development of spatial memory in wild hummingbirds"</p>
Data for: Aprisco Field Station: The spatial structure of a new experimental site focused on agroecology
<p>Data for the data paper "<strong>Aprisco Field Station: The spatial structure of a new experimental site focused on agroecology</strong>". The data contains on the onehand tree locations of 50 1-hectare plots mapped at the Dehesa of the Aprisco Field Station next to the Monfragüe National Park, Torrejón el Rubio, Cáceres, Spain. This data set (TreeDataCorchuelas.xlsx) includes exact location of the trees and diameter at breast hight. On the other hand, the whole farm of 150 hectares including the 50 1-hectare plots was mapped with a drone to get a digital surface model (i.e. digital terrain model [ESP: modelo digital del terreno - MDT (MDT.tif)]) and a vegetation height model (digital elevation model [ESP: modelo digital de elevaciones - MDE (MDE.tif)]) that allows to identify all the trees, shrubs and other vegetation, as well as canopy height and canopy size calculations of all the trees. A 3d model of the digital elevation model is added as pdf (modelo3d.pdf). </p>
Fine-scale tree spatial patterns are shaped by dispersal limitation which correlates to functional traits in a natural temperate forest - Raw SPPA data
<p>Raw data allowing the reproduction of the spatial point pattern analysis detailed in Beyns, R. et al. (2021) Fine-scale tree spatial patterns are shaped by dispersal limitation which correlates to functional traits in a natural temperate forest. <em>Journal of Vegetation Science</em>.</p>
Data associated with Spatial predictors of immunotherapy response in triple negative breast cancer
<p>This dataset contains all the IMC data associated with Wang <em>et al</em>. <em>Spatial predictors of immunotherapy response in triple negative breast cancer,</em> 2023. </p> <p>The zip file NTPublic contains:</p> <ul> <li>Raw multiplexed image data, image masks (cell, nuclear, epithelial, vessel), spillover matrix for signal compensation, antibody panel information, clinical data</li> <li>Processed single-cell data</li> <li>Code for analysis and creating plots</li> </ul> <p><strong>Please read the accompanying DataGuide.pdf for folder structure guide and information on both the raw and processed data.</strong></p> <p>Please read the accompanying CodeGuide.pdf to reproduce published figures. </p>
data set related to article The Virtual City ParadigmTM for Testing Visuo-Spatial Memory, Executive Functions and Cognitive Strategies in Children With ADHD: A Feasibility Study
<p>This record contains raw data related to article The Virtual City ParadigmTM for Testing Visuo-Spatial Memory, Executive Functions and Cognitive Strategies in Children With ADHD: A Feasibility Study</p> <p> </p>
Data and materials for "Exploring the spatial segmentation of housing markets from online listings"
<div> <div>This folder contains the materials from the publication: "Exploring the spatial segmentation of housing markets from online listings".</div> <br> <div>It includes the weighted networks of spatial units, where the link between two spatial units account not only for the presence of common real estate agencies operating in both units but also its influence, accounting for the relative share of those agencies in that spatial units. Additionally, it also includes the necessary code to perform the stochastic aggregative method from generic census data (using as example the IRIS codes).</div> <br> <div>We construct the networks using 3 different spatial units: 1000 m square grid cells, municipalities and census tracts.</div> </div>
Data from: Specialization patterns in symbiotic associations: a community perspective over spatial scales.
<p><strong>Nostoc_rbcLX_alignment: </strong>Alignment of Nostoc rbcLX sequences in FASTA format. </p> <p><strong>Name_equivalences: </strong>Excel cointaining mycociont species names, abbreviations, alignment code for each sample used in the aligment, forest and Nostoc phylogroup.</p> <p><strong>Abstract:</strong> </p> <ol> <li>Specialization, contextualized in a resource axis of an organism niche, is a core concept in ecology. In biotic interactions, specialization can be determined by the range of interacting partners. Evolutionary and ecological factors, in combination with the surveyed scale (spatial, temporal, biological and/or taxonomic) influence the conception of specialization.</li> <li>This study aimed to assess the specialization patterns and drivers in the lichen symbiosis, considering the interaction between the principal fungus (mycobiont) and the associated <em>Nostoc</em> (cyanobiont), from a community perspective considering different spatial scales. Thus, we determined <em>Nostoc</em> phylogroup richness and composition of lichen communities in eleven <em>Nothofagus pumilio</em> forests across a wide latitudinal gradient in Chile. To measure specialization, cyanobiont richness, Simpson’s, and d’ indices were estimated for 37 mycobiont species in these communities. Potential drivers that might shape <em>Nostoc</em> composition and specialization measures along the environmental gradient were analysed. Limitations in lichen distributional ranges due to the availability of their cyanobionts were studied. Turnover patterns of cyanobionts were identified at multiple spatial scales.</li> <li>The results showed that environmental factors shaped the <em>Nostoc</em> composition of these communities, thus limiting cyanobiont availability to establish the symbiotic association. Besides, specialization changed with the spatial scale and with the metric considered. Cyanolichens were more specialized than cephalolichens when considering partner richness and Simpson’s index, whereas the d’ index was mostly explained by mycobiont identity. Little evidence of lichen distributional ranges due to the distribution of their cyanobionts was found. Thus, lichens with broad distributional ranges either associated with several cyanobionts or with widely distributed cyanobionts. Comparisons between local vs. regional scales showed a decreasing degree of specialization at larger scales due to an increase in cyanobiont richness.</li> <li><em>Synthesis</em>. The results support the context dependency of specialization and how its consideration changes with the metric and the spatial scale considered. Subsequently, we suggest considering the entire community, and widening the spatial scale studied as it is crucial to understand factors determining specialization.</li> </ol>
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.