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400 results for “fingerprints”
Dataset for Website Fingerprinting Attack Evaluation
<p>Datasets for evaluating website fingerprinting attacks. More details can be found in <a href="https://github.com/Xinhao-Deng/Website-Fingerprinting-Library" target="_blank" rel="noopener">WFlib</a></p> <div> <div><a href="https://github.com/Xinhao-Deng/Website-Fingerprinting-Library" target="_blank" rel="noopener">WFlib</a> is a Pytorch-based open-source library for website fingerprinting attacks, intended for research purposes only.</div> <br> <div>We provide a neat code base to evaluate 12 advanced DL-based WF attacks on multiple datasets. This library is derived from our ACM CCS 2024 paper. If you find this repo useful, please cite our paper.</div> <br> <div>```bibtex</div> <div>@inproceedings{deng2024wflib,</div> <div>title={Robust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis},</div> <div>author={Deng, Xinhao and Li, Qi and Xu, Ke},</div> <div>booktitle={Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security},</div> <div>year={2024}</div> <div>}</div> <div>```</div> <br> <div>Contributions via pull requests are welcome and appreciated.</div> </div> <p> </p>
Controlled translocation of proteins through a biological nanopore for single-protein fingerprint identification
<p>Electrophysiology data corresponding to the main text and supporting information figures. The data subsets were grouped based on the nanopore mutant and the supporting information figure the nanopore corresponds to. For each mutant, one representative data set within the triplicate was included.</p>
Dataset for baseline Raman Spectral fingerprints of zebrafish embryos and larvae
<p>Here, we share the dataset obtained from a baseline characterisation of Raman spectra of zebrafish embryos and larvae throughout early development. Raman spectra were recorded from the iris, forebrain, melanocytes, heart, muscle and swim bladder between 24 and 168 hours post-fertilisation. The dataset contains the raw data and the baseline-corrected spectra used to obtain a Raman characterisation of each tissue or organ, throughout early developmental stages, with chemometrics analysis (Partial least-squares discriminant analysis, PLS-DA). Specific details on the acquisition conditions and data analysis are provided in the associated article: Abreu IO, Teixeira C, Vilarinho R, Rocha ACS, Moreira JA, Oliva-Teles L, Guimarães L, Carvalho AP. 2024. Baseline Raman Spectral Fingerprints of Zebrafish Embryos and Larvae. <em>Biosensors</em>, 14(11), 538 (2024).</p>
FIGURE 2 in Plastid DNA fingerprinting of the rare Fritillaria moggridgei (Liliaceae) reveals population differentiation and genetic isolation within the Fritillaria tubiformis complex
FIGURE 2. Strict consensus tree of more than 2600 most parsimonious trees from analysis of the combined plastid matK and rpl16 intron sequences. Tree length = 451 steps, CI = 0.89 and RI = 0.85. Bootstrap percentages (> 50%) are indicated above branches. Cardiocrinum giganteum and Notholirion thomsonianum are the outgroups. See also Table 2.
FIGURE 4 in Plastid DNA fingerprinting of the rare Fritillaria moggridgei (Liliaceae) reveals population differentiation and genetic isolation within the Fritillaria tubiformis complex
FIGURE 4. Principal coordinate analysis (PCO) of eleven populations of Fritillaria tubiformis s.l. analyzed for ten microsatellite loci. The first (PCO1) and the second (PCO2) axes explain 50.4% and 20.9% of total variation, respectively. Acronyms correspond to populations (see Table 1). The two genetic groups corresponding to the two subspecific taxa are circled.
FIGURE 1 in Plastid DNA fingerprinting of the rare Fritillaria moggridgei (Liliaceae) reveals population differentiation and genetic isolation within the Fritillaria tubiformis complex
FIGURE 1. Map of the Italian populations of F. tubiformis s.l. Populations belonging to var. burnatii are labelled with a star and those belonging to subsp. moggridgei with a solid circle. Most sampled populations are located at the boundary between Piedmont (P) and Liguria (L) (Italy). Insets show, top left, sampling sites numbered as for populations (see Table 1) and, top right, the position of the sampled area within the Alps.
MSAP and AFLP fingerprints
<p>Plant species differ in their ecological amplitude, with some species occurring in very different habitats under strongly differentiated environmental conditions. We were interested in to what extent the occurrence of <i>Linum catharticum</i> in dry calcareous grasslands (Bromion) and wet litter meadows (Molinion), two habitats on opposing ends concerning e.g., moisture level, is reflected on the genetic and epigenetic level.</p> <p>Using AFLP (amplified fragment length polymorphisms) and MSAP (methylation sensitive amplification polymorphisms) analyses we studied the genetic and epigenetic variation of <i>L. catharticum</i> from calcareous grasslands and litter meadows. From each habitat we included five study sites with 16 individuals per sampling location.</p> <p>We observed lower genetic than epigenetic diversity, but considerable differentiation among habitats, which was stronger on the genetic than the epigenetic level. Additionally we observed a strong correlation of genetic and epigenetic distance, irrespective of geographic distance. The dataset included a large portion of fragments exclusively found in individuals from one or the other habitat. Some epigenetic fragments even occurred in different methylation states depending on the habitat.</p> <p>We conclude that environmental effects act on both the genetic and epigenetic level, producing the clear differentiation among plant individuals from calcareous grasslands and litter meadows. These results may also point into the direction of ecotype formation in this species.</p>
Limitless per Customer: Understanding and Breaking User & Device Fingerprinting in Android
<p>Dataset and artifacts for the research work "Limitless per Customer: Understanding and Breaking User & Device Fingerprinting in Android"</p>
Brain MR Fingerprinting data of 5 volunteers
<p>Data of brain acquisitions using MR Fringerpringing [1] and reconstructed with an in-house implemented low-rank algorithm. Each .zip file contains the acquisitions of one volunteer on the same weekday during 8 consecutive weeks. The data is provided as MatLab (Mathworks, Natick MA) files. The files have the reconstructed series compressed in time (using SVD compression) and the compression matrix needed to obtain the full-time series reconstruction. A MatLab script is provided to obtain the full-time series from the compressed data.</p> <p><strong>This work was funded by a Research Grant from GE(B-GEHC-05)</strong></p> <p>[1]<a href="https://www.zotero.org/google-docs/?1R2bHF">Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout. Magnetic Resonance in Medicine 2015;74:1621–31. https://doi.org/10.1002/mrm.25559.</a></p> <p> </p>
Hybrid Wi-Fi and BLE Fingerprinting Dataset for Multi-Floor Indoor Environments with Different Layouts
<p>A detailed description of our dataset can be found here: <br> Nor Hisham, A.N.; Ng, Y.H.; Tan, C.K.; Chieng David, Hybrid Wi-Fi and BLE Fingerprinting Dataset for Multi-Floor Indoor Environments with Different Layouts. Data 2022, to appear.</p> <p>Please cite the paper when using the dataset.</p>
Likely accelerated weakening of AMOC emerges in optimal fingerprint
<p>POP2 source data and NCL scripts for main figures.</p>
Data to reproduce the results presented in Lake et al. 2023. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2023.162332 ("Use of a submersible spectrophotometer probe to fingerprint spatial suspended sediment sources at catchment scale")
<p>This repository contains the absorbance data measured on the water samples collected in all sampling sites, for the three campaigns, as described in Lake et al., 2023. </p> <p>Data consists of:</p> <p>- Absorbance data compensated for measured concentration and compensated for absorbance measured on filtered water </p> <p>- Absorbance data compensated for measured concentration</p> <p>Shown files are the input files for the MixSIAR modelling exercise as described in Lake et al., 2023.</p>
Data for the publication by Mouchi et al "A step towards measuring connectivity in the deep-sea: elemental fingerprints of mollusk larval shells discriminate hydrothermal vent sites"
<p>This is the elemental data collected by fsLA-ICP-MS-MS on 600 individual larval shells of the hydrothermal-vent limpet Shinkailepas tollmanni from 14 sites in the Southwest Pacific Ocean.</p> <p>The first column indicates the sample ID corresponding to onship sample during the scientific cruise CHUBACARC (Hourdez & Jollivet, 2019).</p> <p>The second column indicates the S. tollmanni sample ID from the publication of Mouchi et al.</p> <p>Columns 3 to 15 correspond to elemental abundances measured.</p> <p>Column 16 to 18 correspond to the region, area and hydrothermal sites, respectively, for each larval shell.</p> <p> </p> <p>Hourdez, S., Jollivet, D., 2019. CHUBACARC cruise, <em>L’Atalante R/V</em>. doi: 10.17600/18001111.</p>
Datasets for Indoor Positioning with Single-AP Wi-Fi Fingerprinting
<p>Datasets for Indoor Positioning with Single-AP Wi-Fi Fingerprinting.</p> <p> </p>
Datasets: Spying through your voice assistants: Realistic voice command fingerprinting
<p>These datasets are used in our work titled "Spying through your voice assistants: Realistic voice command fingerprinting" published in USENIX Security 2023</p>
Fig. 3 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 3. Structures of five isomeric compounds with the molecular formula C30H42O7 and molecular mass 514.2931 found in the G44 sample.
Fig. 2 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 2. General chemical structure of a typical triterpene showing the position of various side chains and list of side chains typically found in Ganoderma.
Fig. 1 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 1. (a) Total ion chromatogram of G44 mushroom extract in ESI negative mode (b) Extracted ion chromatogram (EIC) of G44 mushroom extract in ESI negative mode.
Fig. 4 in Phenolic fingerprints of the Pacific seagrass Phyllospadix torreyi - Structural characterization and quantification of undescribed flavonoid sulfates
Fig. 4. Inter-annual variation in the amounts of phenolic compound in fresh (samples Phy1-F to Phy5-F) and detrital (sample Phy-3 D). Concentrations values on ordinate are given as mg g ¡1 dw of plant tissue, mean values SD (n 3). Products are given in order of elution: Caff: 1; Nep7,4': 2; OMeLu2S: 3; 6OHLu2S: 4; ± = Coum: 5; Lu2S: 6; Nep2S: 7; 5OMeLu7S: 8; 6OHLu7S: 9; RA: 10; L7S: 11; Nep7S: 12; Lu3′S: 13; Nep3′S: 14; Hispi7S: 15; Jaceo7S: 16. See Fig. 3 for formulae and Table 1 for full data.
Fig. 3 in Phenolic fingerprints of the Pacific seagrass Phyllospadix torreyi - Structural characterization and quantification of undescribed flavonoid sulfates
Fig. 3. Structural formulae of compounds 1–18 and a-e. Underlined names indicate the previously unreported products.
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.