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Dataset results
15 results for “key detection”
Dataset of "Anomaly Detection in Industrial Networks: Current State, Classification, and Key Challenges"
<p>Industrial networks are adapted to their specific requirements, especially in terms of industrial processes. To ensure sufficient security in these networks, it is necessary to set and use security policies that complement government regulations, recommendations, and relevant security standards. This paper aims to provide an in-depth analysis of the anomalies occurring within the networks and propose a structure for collecting valuable data from the experimental site based on dividing anomalies into three main categories:<br>security, operational, and service anomalies (and regular traffic recognition). We present a proof-of-concept solution/design aggregating data in industrial networks for advanced anomaly classification. Multiple data sources such as industrial communication, sensor data (additional sensors controlling device behavior), and HW status data are used as data sources. A total of three scenarios (using a physical testbed) were implemented, where we achieved an accuracy of 0.8540/0.9972 in advanced anomaly classification.</p>
Dataset for What are key factors for detection of peptides using mass spec-trometry on boron-doped diamond surfaces?
<p>The data set to paper: </p> <p>What are key factors for detection of peptides using mass spec-trometry on boron-doped diamond surfaces?</p> <p>Juvissan Aguedo1, Marian Vojs2, Martin Vrška2, Marek Nemcovic3, Zuzana Pakanova3, Katerina Aubrechtova Dragounova4, Oleksandr Romanyuk4, Alexander Kromka4, Marian Varga5, Michal Hatala6, Marián Marton2 and Jan Tkac1,*</p> <p>1 Institute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia<br>2 Institute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Slovakia<br>3 Centre of Excellence for Glycomic, Slovak Academy of Sciences, Bratislava, Slovakia<br>4 Institute of Physics, Czech Academy of Sciences, Prague 6, Czech Republic<br>5 Institute of Electrical Engineering, Slovak Academy of Sciences, Bratislava, Slovakia<br>6 Department of Graphic Arts Technology and Applied Photochemistry, Faculty of Chemical and Food Technology, Slovak University of Technology, Bratislava, Slovakia</p> <p>* corresponding author: jan.tkac@savba.sk</p> <p>Data manager: Kristýna Dostálová: dostalovak@fzu.cz</p> <p>Date of data collection: 1. 5. 2023 - 31. 5. 2024</p> <p>All the data shown in the pictures are provided with a described sample in X-Y or X-Y-Z format.<br>The respective figure to which the data belong is always provided in high resolution.<br>The data are in the following formats: <br>Scheme 1: pdf<br>Figure 1: pdf<br>Figure 2: pdf, csv<br>Figure 3: pdf<br>Figure 4: pdf, csv<br>Figure 5: pdf<br>Figure 6: pdf, csv<br>Figure 7: pdf, csv<br>Figure 8: pdf, csv<br>Figure 9: pdf, csv<br><br></p> <p>The comma separated values file (csv) always contain the description of the columns in the first row. In case of composed image the name of the file corresponds to the corresponding figure.</p> <p>Data acquistion and processing is provided in the Experimental part in the publication: DOI: 10.3390/nano14151241</p>
Key triggers of adaptive genetic variability of sessile oak [Q. petraea (Matt.) Liebl.] from the Balkan refugia: outlier detection and association of SNP loci from ddRAD-seq data
<p>Knowledge on the genetic composition of <em>Quercus petraea</em> in south-eastern Europe is limited despite the species' significant role in the re-colonisation of Europe during the Holocene, and the diverse climate and physical geography of the region. Therefore, it is imperative to conduct research on adaptation in sessile oak to better understand its ecological significance in the region. While large sets of SNPs have been developed for the species, there is a continued need for smaller sets of SNPs that are highly informative about the possible adaptation to this varied landscape. By using double digest restriction site associated DNA sequencing data from our previous study, we mapped RAD-tag sequences to the <em>Quercus robur</em> reference genome and identified a set of SNPs putatively related to drought stress-response. A total of 179 individuals from eighteen natural populations at sites covering heterogeneous climatic conditions in the southeastern natural distribution range of <em>Q. petraea</em> were genotyped. The detected highly polymorphic variant sites revealed three genetic clusters with a generally low level of genetic differentiation and balanced diversity among them but showed a north–southeast gradient. Selection tests showed nine outlier SNPs positioned in different functional regions. Genotype-environment association analysis of these markers yielded a total of 53 significant associations, explaining 2.4–16.6% of the total genetic variation. Our work exemplifies that adaptation to drought may be under natural selection in the examined <em>Q. petraea</em> populations.</p>
List of the main marine and coastal habitats detected in Marine Protected Areas and Key Biodiversity Areas of countries around the Alboran Sea, with annotations on the year on which the habitat was listed or publications related on the habitats
<p>List of the main marine and coastal habitats detected in Marine Protected Areas and Key Biodiversity Areas of countries around the Alboran Sea, with annotations on the year on which the habitat was listed or publications related on the habitats. Biosph Res: Biosphera Reserve; MP: Management Plan; NA: Natural Area; NatP: National Park; NP: Natural Park; RCP: Réserve de Chasse Permanenten; RH: Permanent Reserve of Hunting; RN: Réserve Naturelle; SAC: Special Area of Conservation; SBEI: Sites of Biological and Ecological Interest; SCI: Site of Community Importance of Natura 2000; SPAMI: Specially Protected Areas of Mediterranean Importance; LIC: Lugar de Importancia Comunitaria; ZEC: Zona de Especial Conservación; ZEPIM: Zona Especialmente Protegida de Importancia para el Mediterráne; ASPIM: Aires Spécialement Protégées d’Importance Méditerranéenne; SIBE: Sites d’Intérêt Biologique et Ecologique</p>
Figure 2 from: Egizi AM, Robbins RG, Beati L, Nava S, Evans CR, Occi JL, Fonseca DM (2019) A pictorial key to differentiate the recently detected exotic Haemaphysalis longicornis Neumann, 1901 (Acari, Ixodidae) from native congeners in North America. ZooKeys 818: 117-128. https://doi.org/10.3897/zookeys.818.30448
Figure 2 SEM photos of male H.longicornis from a colony started with specimens from Jeju-teukbyeoljachido, Republic of Korea. (Accession # RML48803) a dorsal full body b dorsal capitulum c ventral full body d ventral capitulum.
Figure 4 from: Egizi AM, Robbins RG, Beati L, Nava S, Evans CR, Occi JL, Fonseca DM (2019) A pictorial key to differentiate the recently detected exotic Haemaphysalis longicornis Neumann, 1901 (Acari, Ixodidae) from native congeners in North America. ZooKeys 818: 117-128. https://doi.org/10.3897/zookeys.818.30448
Figure 4 SEM photos of larval H.longicornis from a colony started with specimens from Queensland, Australia (Accession # RML58949). a dorsal full body b dorsal capitulum c ventral full body d ventral capitulum.
Figure 3 from: Egizi AM, Robbins RG, Beati L, Nava S, Evans CR, Occi JL, Fonseca DM (2019) A pictorial key to differentiate the recently detected exotic Haemaphysalis longicornis Neumann, 1901 (Acari, Ixodidae) from native congeners in North America. ZooKeys 818: 117-128. https://doi.org/10.3897/zookeys.818.30448
Figure 3 SEM photos of nymphal H.longicornis from a colony started with specimens from Jeju-teukbyeoljachido, Republic of Korea (Accession # RML48803). a dorsal full body b dorsal capitulum c ventral full body d ventral capitulum.
Figure 1 from: Egizi AM, Robbins RG, Beati L, Nava S, Evans CR, Occi JL, Fonseca DM (2019) A pictorial key to differentiate the recently detected exotic Haemaphysalis longicornis Neumann, 1901 (Acari, Ixodidae) from native congeners in North America. ZooKeys 818: 117-128. https://doi.org/10.3897/zookeys.818.30448
Figure 1 SEM photos of female H.longicornis from a colony started with specimens from Jeju-teukbyeoljachido, Republic of Korea (Accession # RML48803) a dorsal full body b dorsal capitulum c ventral full body d ventral capitulum.
Data from: Automatic detection of key innovations, rate shifts, and diversity-dependence on phylogenetic trees
Open the record for dataset details and reuse information.
Single cell sequencing confirms that chemistry version sensitivity is not key factor in detection of artificial signature or identification of signature specifc genes.
GEO Series GSE188441. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Figure 5 from: Egizi AM, Robbins RG, Beati L, Nava S, Evans CR, Occi JL, Fonseca DM (2019) A pictorial key to differentiate the recently detected exotic Haemaphysalis longicornis Neumann, 1901 (Acari, Ixodidae) from native congeners in North America. ZooKeys 818: 117-128. https://doi.org/10.3897/zookeys.818.30448
Figure 5 Pictorial key to adults of Haemaphysalis spp. occurring in North America.
Figure 7 from: Egizi AM, Robbins RG, Beati L, Nava S, Evans CR, Occi JL, Fonseca DM (2019) A pictorial key to differentiate the recently detected exotic Haemaphysalis longicornis Neumann, 1901 (Acari, Ixodidae) from native congeners in North America. ZooKeys 818: 117-128. https://doi.org/10.3897/zookeys.818.30448
Figure 7 Pictorial key to larvae of Haemaphysalis spp. occurring in North America.
Figure 6 from: Egizi AM, Robbins RG, Beati L, Nava S, Evans CR, Occi JL, Fonseca DM (2019) A pictorial key to differentiate the recently detected exotic Haemaphysalis longicornis Neumann, 1901 (Acari, Ixodidae) from native congeners in North America. ZooKeys 818: 117-128. https://doi.org/10.3897/zookeys.818.30448
Figure 6 Pictorial key to nymphs of Haemaphysalis spp. occurring in North America.
Whole Genome Analysis for the Detection of Key Genes in the Polycystic Ovary Syndrome
ClinicalTrials.gov study NCT00665171. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Figs. 11–14. Typhloelmis species comparison showing key morphological characteristics. 11 in Figs. 6-7 in First Reported Detection of Ips calligraphus (Germar) and Ips grandicollis (Eichhoff) (Coleoptera: Curculionidae) in a Port of Entry and its Surrounding Forest in Spain
Figs. 11–14. Typhloelmis species comparison showing key morphological characteristics. 11) T. caroline, ventral view, wet; 12) T. caroline, dorsal view, dry, length 2.20 mm; 13) T. sanfelipe, ventral view, wet; 14) T. sanfelipe, dorsal view, dry, length 2.50 mm.
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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.