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datasets available to search
ShareScore release 0.9.0
Dataset results
409 results for “information use”
Data from: Information use and resource competition: an integrative framework
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Data from: Only accessible information is useful: insights from gradient-mediated patterning
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Data from: Honey bees flexibly use two navigational memories when updating dance distance information
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Data from: Discrimination of signal carotenoid content using multidimensional chromatic information
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Data from: Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information
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SMEX02 Land Surface Information: Land Use Classification, Version 1
This data set consists of land use classification data collected for the Iowa Soil Moisture Experiment 2002 (SMEX02) study region. The land use classification image provides information about vegetation present in the study area.
Using Blood-Informative Transcripts in Geographical Genomics: Impact of Lifestyle on Gene Expression in Fijians
GEO Series GSE41233. Homo sapiens. 41 samples. Type: Expression profiling by array.
Gene profiling using archival formalin-fixed paraffin-embedded breast cancer specimens can generate informative microarray data: A comparison with matched fresh fine needle aspiration biopsy samples (
GEO Series GSE23384. Homo sapiens. 25 samples. Type: Expression profiling by array.
Quantifying Biopolymer Sequence Recognition using Biophysically Informed Machine Learning
GEO Series GSE175942. Drosophila melanogaster; Homo sapiens. 43 samples. Type: Other.
The role of perception and action on the use of allocentric information in a large-scale virtual environment
<p>Final allo weights, filtered as explained in the manuscript</p>
Face detection ensemble with methods using depth information to filter false positives
<p>%files (File.rar):<br> %ColorImageX.jpg is the color image<br> %SegImageX.jpg is the segmentation map <br> %SegImage2_X.jpg is the segmentation map obtained considering only Depth<br> %map</p> <p>%the .mat file<br> %DatasetFaceD{x}{1} depth map<br> %DatasetFaceD{x}{2} eyes coordinates<br> %DatasetFaceD{x}{3} calibration matrix, e.g used in face_dimension.m</p> <p> </p> <p>PS few images (7) used in the paper are no more available</p> <p> </p>
Data for: "Random forest algorithms for recognizing daily life activities using plantar pressure information: A smart-shoe study"
<p>Data and software related to the manuscript "Random forest algorithms for recognizing daily life activities using plantar pressure information: A smart-shoe study" (2020). </p> <p>========</p> <p>Typo in README_DataRep.txt:</p> <p>' 2) "one_config" [...] Selected results requiring these data are shown in Fig. <strong>13</strong>'<strong> </strong>(not 11).</p>
Evaluating Frameworks Assemblies In Microservices-based Systems Using Imperfect Information (Video)
<p>This video presents a novel technique, called µAzimut, whose purpose is to generate, evaluate, and compare frameworks assemblies using potentially incomplete, imprecise, and changing descriptions of nonfunctional requirements and frameworks. The frameworks assemblies evaluation is based on a support score which allows modeling imperfect architectural knowledge.</p>
Data from: Modeling spatial patterns of soil respiration in maize fields from vegetation and soil property factors with the use of remote sensing and geographical information system
To examine the method for estimating the spatial patterns of soil respiration (Rs) in agricultural ecosystems using remote sensing and geographical information system (GIS), Rs rates were measured at 53 sites during the peak growing season of maize in three counties in North China. Through Pearson's correlation analysis, leaf area index (LAI), canopy chlorophyll content, aboveground biomass, soil organic carbon (SOC) content, and soil total nitrogen content were selected as the factors that affected spatial variability in Rs during the peak growing season of maize. The use of a structural equation modeling approach revealed that only LAI and SOC content directly affected Rs. Meanwhile, other factors indirectly affected Rs through LAI and SOC content. When three greenness vegetation indices were extracted from an optical image of an environmental and disaster mitigation satellite in China, enhanced vegetation index (EVI) showed the best correlation with LAI and was thus used as a proxy for LAI to estimate Rs at the regional scale. The spatial distribution of SOC content was obtained by extrapolating the SOC content at the plot scale based on the kriging interpolation method in GIS. When data were pooled for 38 plots, a first-order exponential analysis indicated that approximately 73% of the spatial variability in Rs during the peak growing season of maize can be explained by EVI and SOC content. Further test analysis based on independent data from 15 plots showed that the simple exponential model had acceptable accuracy in estimating the spatial patterns of Rs in maize fields on the basis of remotely sensed EVI and GIS-interpolated SOC content, with R2 of 0.69 and root-mean-square error of 0.51 µmol CO2 m−2 s−1. The conclusions from this study provide valuable information for estimates of Rs during the peak growing season of maize in three counties in North China.
Reliability and usefulness of YouTube videos for information on penile prothesis
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Supporting information for "Measuring understory vegetation structure using a novel mixed-reality device"
<p>MEE Appendix 1: Code necessary to extract vegetation detection data from VegSense scans</p> <p>MEE Appendix 2: Supplementary methods</p> <p>MEE Appendix 3: Instructions for downloading the test version of VegSense onto the HoloLens</p> <p>DBH.Analysis.FINAL.R: Code for all data analysis used in the study</p> <p>HoloLens MEM samples test.csv: vegetation detection data</p> <p>HoloLens MEM samples 6_8.csv: tree/sapling detection and DBH measurements</p> <p>VegSense.zip- Underlying code for VegSense application</p> <p>AppPackages.zip- Test VegSense application packages available to download on the HoloLens</p> <p> </p>
Use of GLP1 receptor agonists in early pregnancy and reproductive safety: a multicentre, observational, prospective cohort study based on the databases of six Teratology Information Services
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Supplementary files for: A geographic information system-based global variable renewable potential assessment using spatially resolved simulation
<p>File 1: Supplementary materials on methods</p> <p>File 2: Definition of the zones in this study</p> <p>File 3: Statistics on land cover pixels updated from OSM</p> <p>File 4: Validation of the eligibility masks with existing installation sites</p> <p>File 5: Validation of the estimated CF profiles for the European countries</p> <p>File 6: Summary of the available area, technical potential and capacity potential of wind and solar power in this study</p> <p>File 7: Aggregation of the estimated 10-year hourly CF into 288 month-hour profile</p> <p>File 8: The estimated 10-year hourly CF of all available technologies and CF tranches in each zone</p>
Supporting information - Enhancing the stability of soybean oil: using endogenous phenolic compounds additive and carnosic acid plus carnosol
<p>Table S1, displays regular soybean oil (SO) characterization, table S2 provides the calibration curves of tocopherol, carnosic acid, and carnosol mg/l, table S3 shows the matrix concentration of nine binary combinations in RBD oil, and Table S4 presents Oxidative kinetic parameters of soybean oil at different antioxidants combinations. In addition, figure S1 displays a Liquid chromatogram of carnosic acid and carnosol. Figure S2: Cluster analysis results of the nine independent dose combinations of carnosic acid plus carnosol and tocopherol. Figure S3: Liquid chromatogram of tocopherols.</p>
Figure 5 from: Remsen D (2016) The use and limits of scientific names in biological informatics. In: Michel E (Ed.) Anchoring Biodiversity Information: From Sherborn to the 21st century and beyond. ZooKeys 550: 207–223. https://doi.org/10.3897/zookeys.550.9546
Figure 5 - A polyseme is a single name referring to more than one overlapping or included concept.
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.