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13,117 results for “Maps”
Data for '3D Radio Frequency Mapping and Polarization Observations Show Lightning is Ignited by Cosmic-ray Shower' by Shao et al., 2024
<p>Data for manuscript "<a name="_Hlk177653706"></a><strong><span>3D Radio Frequency Mapping and Polarization Observations Show Lightning is Ignited by Cosmic-ray Shower" <br></span></strong></p>
Morphological heart age from CTA: Predictions, Performance and Saliency Maps
<p>This data distribution contains regression results for age prediction from computed tomography angiography images from the SCAPIS dataset, as well as proof-of-concept experiments concerning the prediction of known volumetric features estimated through segmentation of the images.</p> <p>Each sub-folder represents one experiment.</p> <p>For each experiment (sex-stratified), there is a csv file '0.csv'<br>with the following structure</p> <p>Row 1: subject id1, subject id2, subject id3, ...<br>Row 2: reference value1, reference value2, reference value3, ...<br>Row 3: predicted value1, predicted value2, predicted value3, ...</p> <p>There is also a file 'results_summary.txt' which provides a text output of the quality measures corresponding to each experiment:<br>Mean Absolute Error (MAE)<br>R^2 (R2)<br>Pearson correlation (r_p)<br>Spearman correlation (r_s)<br>Intraclass Correlation Coefficient (ICC)</p> <p>The following sub-folders/experiments contain saliency maps:<br>- main (the main experiment with PCA from the whole heart)<br>- main_linear (the main experiment without PCA from the whole heart)<br>- poc_lvv (proof-of-concept: left ventricle volume)<br>- poc_rvv (proof-of-concept: right ventricle volume)<br>- poc_lav (proof-of-concept: left atrium volume)<br>- poc_rav (proof-of-concept: right atrium volume)<br>- poc_myov (proof-of-concept: myocardium volume)<br>- poc_av (proof-of-concept: aorta volume)</p> <p>The feature subsets use the following encoding (for the feature subset experiments, the path contains the numbers representing the included features):<br>1: Median Density<br>2: Median Volume<br>3: Stddev Density<br>4: Stddev Volume</p> <p>Ethics:<br>The subjects/images are all anonymized, with a chronological age rounded to whole months.</p> <p>Ethics approval was obtained from the Swedish Ethical Review Authority (Dnr 2022-07308-01) to conduct this research study related to human subjects, with associated sex and age information. All subjects provided informed written consent for their collected data to be used for research and for that research to be published. The study adheres to the Declaration of Helsinki. SCAPIS has been approved as a multicentre trial by the ethics committee at Umea University and adheres to the Declaration of Helsinki.</p>
Data and Code for "Mapping of Global Research Trend on GIS in Natural Disasters: A Bibliometric Approach during 2004-2023"
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Migration of Monolithic Systems to Microservices: A Systematic Mapping Study - Replication package
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Swift/BAT-GUANO upper limits map for S240921cw
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Swift/BAT-GUANO upper limits map for S240920dw
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Swift/BAT-GUANO upper limits map for S240919bn
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The China river extent maps (CRED) from 2016 to 2023
<p>The CRED were river datasets, delineating river extents across China from 2016 to 2023. It contains 8 shp files, with a attribute of "area" (unit: ha). </p>
Improved global soil salinity and sodicity mapping through Box-Cox-based sample transformation and feature optimization
<p>We introduce a novel framework that leverages the Box-Cox transformation to address the skewed distribution of samples and incorporates additional critical predictors to enhance the accuracy of soil salinity (measured as electrical conductivity of the saturated soil extract, ECe) and sodicity (measured as exchangeable sodium percentage, ESP) estimates.</p> <p>We provide high-resolution (1 km × 1 km) global maps of soil salinity and sodicity from 1980 to 2022 in GeoTIFF file format for each year.</p> <p>Note: the scale factor for ECe and ESP maps is 0.001</p>
FIGURE 2. Distribution map. A in Three new species of the Andean genus Brunellia (Brunelliaceae) from Colombia and Ecuador
FIGURE 2. Distribution map. A. Brunellia alnifolia in Colombia. B. Brunellia hippocrepiformis in Ecuador.
MTEX example EBSD map of WC-Co for TrueEBSD and WC Contiguity calculation
<p>MTEX TrueEBSD example EBSD map and SEM images of a WC-Co hardmetal.</p> <p>EBSD data acquired at Seco Tools AB, Fagersta, Sweden.</p> <p>This work was partially funded by the National Physical Laboratory’s Director’s Science and Engineering Fund.</p>
50k Maps of Bangladesh--additional 1--20241003
<p>A set of 97 additional maps for the 50k Maps of Bangladesh category</p>
50k Maps of Bangladesh--additional 2--20241003
<p>A set of 65 additional maps for the 50k Maps of Bangladesh category</p>
36 Block--63k or 50k scale Maps of South Asia
<p>3 maps of the Survey of India covering block 36.</p>
Texas_topographic_map
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500k Maps of Pakistan by Survey of Pakistan
<p>29 maps of Pakistan with scale 1:500,000 issued between 1968 and 1987. These maps use the modern international numbering system instead of the earlier India and Adjacent Countries (I&AC) system introduced by the Survey of India.</p>
Map of valley networks in the northwestern Hellas region, Mars
<p><span>This dataset provides a representation of the valley networks in the northwestern Hellas region. We mapped the valley networks as vector-based polylines within ArcGIS software, using the ~5 m/pixel CTX mosaics with THEMIS daytime IR mosaics as the regional background. Additionally, we used the 200 m/pixel MOLA-HRSC blended DEM for detailed identification, mapping, and derivation of topographic and morphologic parameters of valley networks. The dataset includes the whole valley networks within the study region, the mainstreams of the valley networks, single valleys, and extracted junction angles. Attribute tables are associated with the dataset, providing useful information and morphologic parameters of the valley networks such as length, sinuosity, stream order for each valley networks.</span></p>
Data analysis of article research tittle "Online GIS and Remote Sensing-Based Mapping of Flood Vulnerability in Samarinda Seberang Subdistrict"
<p>This dataset contains an explanation of data analysis for creating a flood vulnerability map of Samarinda Seberang District. The dataset contains sub-criteria for each flood parameter and its score value. In addition, this dataset contains the weight value of each parameter, flood vulnerability level and its coloring, and the results of calculating the area of each vulnerability level.</p>
253k/250k Maps of South Asia--additional 2--20241008
<p>9 new map files to add to the set of 253k/250k Maps of South Asia. </p>
Data Extraction Form - Systematic Mapping Study of AxC Multipliers
<p>Data Extraction Form used to record the mapped publications to address the research questions from a systematic mapping study of approximate multipliers design.</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.