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Dataset results
10 results for “artificial data set”
Data set of article entitled: "Impact of the interfacial Dzyaloshinskii-Moriya interaction on the band structure of one-dimensional artificial magnonic crystals: A micromagnetic study"
<p>Data set of the immagies showed in figure 3 of the article entiteled "Impact of the interfacial Dzyaloshinskii-Moriya interaction on the band structure of one-dimensional artificial magnonic crystals: A micromagnetic study". All files contain the matrix of the dispersion relations of the two analysed Magnonic Crystals: the SAMPLE A and the SAMPLE B for different value of the interfacial Dzyaloshinskii-Moriya interaction (constant D). The first row is the set of values of k-vector, while the first column is the set of value of the frequencies. The other elements of the matrix are the values of the pixel related to the first row and first column. These elements are been obtanied by the Fast Fourier Transform in time and space of the micromagnetic simulations .</p>
Data set for "Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2"
<p>Data sets for the publication "Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS<sub>2</sub>", doi:10.1021/acsnano.1c07065</p>
Data set for the article: An artificial neural network approach to finding the key length of the Vigenere cipher
<p>Data supporting the work in the article: An artificial neural network approach to finding the key length of the Vigen\`{e}re cipher.</p>
Profiling of pancreatic adenocarcinoma using artificial intelligence-based integration of multi-omic and computational pathology features - Validation Data Sets
<p>Two public validation cohorts were utilized in the MT-Pilot study, the Cancer Genome Atlas (TCGA) and cohort-1 Johns Hopkins University (JHU). These datasets included DNA, RNA, clinical data, and tissue protein analytes analyzed for survival outcome prediction using AI/Machine Learning modeling. </p>
Data set from a representative survey on artificial intelligence in Germany
<p>Data on the perception of medical artificial intelligence in Germany is currently lacking. Two online surveys were launched in Germany in 2021 to assess the knowledge and perception of artificial intelligence in general and in medicine, including the management of data in medicine. A total of 1,001 and 1,000 adults participated in the surveys. The data collected and the questionnaires will be published.</p>
Data from: Scanning SNPs from a large set of expressed genes to assess the impact of artificial selection on the undomesticated genetic diversity of white spruce
A scan involving 1134 single-nucleotide polymorphisms (SNPs) from 709 expressed genes was used to assess the potential impact of artificial selection for height growth on the genetic diversity of white spruce. Two case populations of different sizes simulating different family selection intensities (K = 13% and 5%, respectively) were delineated from the Quebec breeding program. Their genetic diversity and allele frequencies were compared with those of control populations of the same size and geographic origin to assess the effect of increasing the selection intensity. The two control populations were also compared to assess the effect of reducing the sampling size. On one hand, in all pairwise comparisons, genetic diversity parameters were comparable and no alleles were lost in the case populations compared with the control ones, except for few rare alleles in the large case population. Also, the distribution of allele frequencies did not change significantly (P ≤ 0.05) between the populations compared, but ten and nine SNPs (0.8%) exhibited significant differences in frequency (P ≤ 0.01) between case and control populations of large and small sizes, respectively. Results of association tests between breeding values for height at 15 years of age and these SNPs supported the hypothesis of a potential effect of selection on the genes harboring these SNPs. On the other hand, contrary to expectations, there was no evidence that selection induced an increase in linkage disequilibrium in genes potentially affected by selection. These results indicate that neither the reduction in the sampling size nor the increase in selection intensity was sufficient to induce a significant change in the genetic diversity of the selected populations. Apparently, no loci were under strong selection pressure, confirming that the genetic control of height growth in white spruce involves many genes with small effects. Hence, selection for height growth at the present intensities did not appear to compromise background genetic diversity but, as predicted by theory, effects were detected at a few gene SNPs harboring intermediate allele frequencies.
Data from: Scanning SNPs from a large set of expressed genes to assess the impact of artificial selection on the undomesticated genetic diversity of white spruce
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International artificial intelligence research progress and visual analysis of hot spots——data set
<p>International artificial intelligence research progress and visual analysis of hot spots——data set</p>
data set used for Application of Blockchain Technology Based on Artificial Intelligence Optimization in Communication Data Security Service
<p>This is the data set used to implement the project Application of Blockchain Technology Based on Artificial Intelligence Optimization in Communication Data Security Service</p>
Light and Perception: Study of the Effects of Daylight and Artificial Light on Affect, Mood and Sleepiness under a Sky-Lighting Machine - Data-sets A-B
<p>These data-sets contain information relative to the Paper entitled “Light and Perception: Study of the Effects of Daylight and Artificial Light on Affect, Mood and Sleepiness under a Sky-Lighting Machine”</p> <p> </p> <p>Data-set A contains Affect, Sleepiness and Mood data divided by participant ID (N = 28) and session number (N=9), summarised by Task (Reading and Game) and Light Condition (Daylight DL; Artificial Light AL). We coded AL as 0 and DL as 1; Reading as 0 and Game as 1. </p> <p> </p> <p>Data-set A includes as factors Gender, Order and Time of Day. Plus these subjective parameters, used as predictors in the models: perceived Color of Light and perceived Level of Light (Brightness). </p> <p> </p> <p>These photometric values were included as predictors in the model: Mean Illuminance, referred to as Room Illuminance; Mean Correlated Color Temperature (CCT); Variation, defined as the Standard Deviation (SD) of the Illuminance values; mEDI means calculated with CIE S 026/E:2018 on the spectral values of the two median Illuminance measurements taken over the time-span of thirty minutes; Illuminance measured by the actigraphs, referred to as Personal Illuminance. Personal Illuminance values were asymmetrically distributed and were logged. </p> <p> </p> <p>Data-set B contains relevant Health Symptoms data divided by participant ID (N = 28) and session number (N=9), summarised by Task (Reading and Game) and Light Condition (Daylight DL; Artificial Light AL). </p> <p>Data-set B includes as factors Gender, Order and Time of Day. </p> <p> </p> <p>These photometric values were included as predictors in the model relative to data-set B: Mean Illuminance, referred to as Room Illuminance in the paper; Variation, defined as the Standard Deviation (SD) of the Illuminance values; mEDI means calculated with CIE S 026/E:2018 on the spectral values of the last two median Illuminance measurements of the session. </p> <p> </p> <p>The file Light-Perception_Exposure-DL-Data-set includes photometric measurements each 30 minutes in Daylight conditions. </p> <p> </p>
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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.