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13,117 results for “Maps”
Motor recalibration of visual and saccadic maps
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Data from: Comparing methods for mapping global parasite diversity
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Data from: Maximum mutational robustness in genotype-phenotype maps follows a self-similar blancmange-like curve
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Future land use maps for the Netherlands for the Dutch One Health SSPs
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Data from: Mapping threatened Thai bovids provides opportunities for improved conservation outcomes in Asia
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Data from: An essential experimental control for functional connectivity mapping with optogenetics
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Data from: A brain-wide analysis maps structural evolution to distinct anatomical modules
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Computational IHC-H&E mapping in mouse models of colitis (IHC WSIs from paired H&E-IHC WSIs, Part 2/2)
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Data and code from: Using contrasts in horizontal P-wave reflectivity to map the base of the continental lithosphere: Results for the central and eastern U.S.
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Mapping between Human Phenotype Ontology and phecode terminologies
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High frequency soil sensor data for SOM input - Complex drivers of riparian soil oxygen variability revealed using self-organizing maps
The provided datasets contain the original (non-normalized) high-frequency soil and meteorological observations that were fed to the Self-Organizing Map (SOM) in order to identify ranges of values associated with low and high soil O2 conditions. For the Champlain Valley (CV) site we used the natural breaks algorithm to subset the data into high and low O2 datasets. O2 values were consistently low at the Green Mountains (GM) site, so we ran a single SOM for all O2 values at this site. The original values were then range-normalized before they were fed to the SOM.
Franks Tract User Survey map-based responses
This data includes point, line, and polygon map-based responses to the Franks Tract public user survey administered by UC Davis researchers for the Franks Tract Futures project. The survey was conducted in the Fall of 2019 and concerned current recreational activities in the tract as well as perspectives on potential marsh placement and areas of improvement.
Landcover change analysis of the McKenzie Basin for the Maps and Locals (MALS) project.
This dataset was developed for use in an analysis of landcover change in the McKenzie Basin for the Maps and Locals (MALS) project. MALs is funded by LTER Social Science Supplement grants of the National Science Foundation.
Database of Geographic Information: Topographic Map of Central Arizona
This dataset has been created to meet the needs of the research community of Arizona State University. Apart from purely vizualization purposes (i.e. displaying the data on various maps) it can potentially be used for spatial modeling. The data consist of engineering-quality contours, also known as isolines, created from the NED 10-meter Digital Elevation Model subset to the extent somewhat exceeding Cetral Arizona - Phoenix LTER. Contours ( lines connecting points of equal height above sea level) are drawn at 15 meter intervals with the base set at 145 m of elevation. Contours are an exact interpretation of the grid surface model and may sometimes appear blocky looking, may cross, appear to intersect, or form an unclosed branching line. All these are valid engineering-quality interpretations of the elevation surface that cartographers typically modify (smooth) for aesthetic purposes.
Plant Survey of Current Vegetation: MAP OF SONORAN DESERT PLANT COMMUNITY DISTRIBUTION IN THE CAPLTER STUDY AREA, PHOENIX, ARIZONA
This study represents an effort to map the distribution of plant community types across the Central Arizona - Phoenix Long Term Ecological Research (CAP-LTER) site centered in metropolitan Phoenix using Landsat ETM data. Vegetation classification was carried out using field data collected from within the study area describing woody plant species. A system was devised which represented a compromise between providing floristic information and enabling maximum spectral discrimination between community types. Image classification used reference spectra derived from training sites in the field and was carried out on subsets defined by soil surface texture in order to control for the strong background soil signature inherent to arid regions. While groundtruthing revealed that vegetation on clayey soils was mapped to 91% accuracy, other sections produced maps with less accuracy. The results of this study demonstrate that image classification of desert vegetation using only Landsat ETM data is problematic and may not be practical without other supporting data, such as radar imaging.This project attempts to produce a vegetation distribution map across undeveloped parcels of outlying desert wilderness, as well as remnant mountain parks throughout the city, contained within the Central Arizona Phoenix Long Term Ecological Research (CAPLTER) study area. This effort seeks to create the first successful classification map of Sonoran Desert vegetation derived from satellite imagery. The map would also be the first fine-scale map of plant community types in the Phoenix region. The depiction would allow for a calculation of the land area covered by each vegetation class, and which communities are exposed to development pressures. This map potentially provides a basis from which researchers can measure vegetative biomass distribution across the landscape and attempt to incorporate this component into ecological models of energy flows and biogeochemical cycling in the CAP-LTER site. I
Hubbard Brook Experimental Forest: Soil Profile Maps and Horizon Thicknesses on Watershed 5, 1983-1998
We sampled soils prior to the whole-tree harvest of watershed 5 at Hubbard Brook Experimental Forest in 1983, and again in 1986, 1991, and 1998, using the quantitative soil pit method. Here we report horizon thicknesses and present hand drawn maps of the sides of a subset of the 239 sampling pits excavated over the four sampling years. Note that U.S. standard soil horizon nomenclature changed between 1983 and 1986. In nearly all cases, the 1983 horizon designations have the following equivalencies: A2 = E, Bhir = Bs, Bir = Bs1, B23 and B23+ = Bs2. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station. An analysis of these data has been published in: Johnson, C.E., A.H. Johnson, T.G. Huntington, and T.G. Siccama. 1991. Whole-tree clear-cutting effects on soil horizons and organic-matter pools. Soil Science Society of America Journal. 55:497-502. https://doi.org/10.2136/sssaj1991.03615995005500020034x
McMurdo Dry Valleys Basic GIS Map Layers - up to 2007
Basic Layers from the MCM-LTER spatial data holdings have been exported and symbolized, and they are available for download here. Most of these layers date from Oct-2007 or earlier, please see the Polar GeoSpatial Center for more updated base and specialized layers. The spatial GIS layers contained in this ZIP file were exported from the 2006 MCM-LTER Spatial Database (now deprecated) in the ESRI Shape File format. For your convenience, Layer Files (.lyr),  which are already symbolized, are also included. The spatial layers contained in the MCM-LTER Spatial Database are accurate (depending on the date the shapefiles in this ZIP file were last exported, they may be out of date). List of layers:  Camp locations.lyr glacier stake locations.lyr glaciers.lyr lakes and ponds.lyr maximum extent.lyr met station locations.lyr ocean.lyr stream gauge locations.lyr streams - monitored.lyr streams - not monitored.lyr topo 50m.lyr Â
McMurdo Dry Valleys Bathymetric Values From Contour Map Digitizing
As part of the Long Term Ecological Research in the McMurdo Dry Valleys of Antarctica, bathymetric data was collected for Lakes Hoare, Fryxell and Bonney. This table contains the values for depth, perimeter length, polygon area and total area per contour used for contour map digitizing.
PIE LTER, Year 2013-2018, remote sensing derived sediment concentration maps, movies, transect averaged sediment concentation, water level, dh/dt, wind direction and speed, river discharges at Plum Island Sound, Massachusetts.
PIE LTER, Year 2013-2018, remote sensing (Landsat8 OLI sensors and Sentinel-2A/2B) derived sediment concentration maps, transect averaged sediment concentation, water level, dh/dt, wind direction and speed, river discharges for Plum Island Sound estuary, Massachusetts.
Detailed USDA SSURGO soil map data for Accomack and Northampton Counties, VA, 2008-2010.
This dataset contains detailed USDA SSURGO soil information and mapped soil extents for the soils of Accomack and Northampton Counties on Virginia's Eastern Shore, including those areas of focused study by the Virginia Coast Reserve LTER project. This USDA soil data is collected and combined here to make it more accessible to VCRLTER researchers and students, in a more GIS-friendly format, and to supersede previous digitized versions of more generalized soil maps created by the VCRLTER and included as part of the 1995 VCRLTER-Northampton County GIS data archive (dataset VCR14219). Data was downloaded in Jan. 2014 and tabular data for both counties was imported into a MS Access database using the provided standard SSURGO US 2003 template. Spatial data for the two counties was merged together into a single ArcGIS shapefile and selected fields from the MAPUNIT and MUAGGATT tables were joined to the final shapefile's attribute table. Each polygon represents all or part of a SSURGO "mapunit", which may contain multiple component soils; usually very similar soils that grade together or else so heterogeneously mixed together at fine spatial scales to make mapping the component soils individually impractical. Also, each soil typically has multiple vertical soil horizons, each with its own distinct composition (mineral, textural, etc.) and other characteristics. Detailed information about component soils (including typical soil moisture, dry albedo, erodibility indices, taxonomic nomenclature, flooding and ponding characteristics, engineering, crop, forest, and habitat suitability indices and yield tables, and geomorphic descriptions) and component horizons (including horizon depths, grain size distributions, sand/silt/clay fractions, mineral and organic content, and pore space characteristics) is included in the MS Access database but NOT in the combined ArcGIS shapefile. Users interested in exploring or displaying component or horizon information may use the report and que
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.