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9,302 results for “DETECT”
SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge (CtrSVDD Track, Test Set)
<p>For more information about SVDD Challenge 2024, please refer to https://challenge.singfake.org/.<br><br>We have released the test set here.</p> <p>The training and development set is at https://zenodo.org/records/10467648.</p> <p>The Interspeech paper that describes the dataset details and baseline analysis is https://arxiv.org/abs/2406.02438.</p>
List of agricultural pests and disease vectors detected in the diet of insectivorous bats in northern Madagascar
<p>This table is part of the PhD thesis of Carme Tuneu-Corral, entitled '<strong>Bats and rice: promoting Integrated Pest Management to enhance biodiversity conservation</strong>'. It is the <span>Table A4.3</span> of the supplementary material of the Chapter 5 '<em>Beyond borders: evaluating the role of protected areas in promoting bat-mediated pest suppression in rural areas of northern Madagascar</em>', and shows the list of agricultural pests (known and potential) and disease vectors detected in the diet of insectivorous bats, BOLD ID percentage (similarity), and information on the type of crops attacked or disease transmitted by them in Madagascar and/or continental Africa.</p> <p>Methodology:</p> <p><span>To evaluate whether bats were consuming agricultural pests or disease vectors, we only considered prey identified to species level. Using published scientific literature, we classified each arthropod species in one of the following categories: ‘non-pest prey’, ‘known human-disease vector’ (species confirmed as human-disease vector in Madagascar), ‘known livestock-disease vector’ (species confirmed as livestock-disease vector in Madagascar), ‘potential human-disease vector’ (species not confirmed as human-disease vector in Madagascar, but considered as such in continental Africa), ‘potential livestock-disease vector’ (species not confirmed as livestock-disease vector in Madagascar, but considered as such in continental Africa), ‘known agricultural pest’ (species confirmed as agricultural pest in Madagascar), ‘potential agricultural pest’ (species not confirmed as agricultural pest in Madagascar, but considered as such in continental Africa).</span></p> <p> </p>
Algorithmically Detected Rain-on-Snow Flood Events in Different Climate Datasets: A Case Study of the Susquehanna River Basin
<p>This archive contains masked data over the Susquehanna River Basin and associated Python code to reproduce the findings of the manuscript "Algorithmically Detected Rain-on-Snow Flood Events in Different Climate Datasets: A Case Study of the Susquehanna River Basin." Additional water year analysis not included in the manuscript are also tarred in this archive.</p>
(simulated Data:) Detecting interactions in high dimensional data using Cross Leverage Scores
<p>We upload the data according to the paper "Detecting interactions in high dimensional data using Cross Leverage Scores" (Teschke et al., 2024) which we submitted at the Biometrical Journal. The data is also being uploaded on behalf of the paper's co-authors, Katja Ickstadt and Alexander Munteanu.</p> <p>Furthermore we upload some Intermediate results, because calculations takes very long time and need lots of memory. You can therefore use them for further insights.</p> <p>For details of the simulation, we refer to Teschke et al. (2024).</p>
Laboratory validation of a clinical metagenomic next-generation sequencing assay for respiratory virus detection and discovery
<p>This repository contains data and code used to analyze data for this manuscript: </p> <p><em>Laboratory validation of a clinical metagenomic next-generation sequencing assay for respiratory virus detection and discovery</em></p>
Data and Code for "Detecting context-dependence in the expression of life history tradeoffs"
<p>This repository hosts the data, R scripts, and Stan models needed to reproduce results and figures from the article <em>Detecting context-dependence in the expression of life history tradeoffs.</em></p> <p>See the README file for a description of the different files contained in this repository.</p>
Emergent coherent modes in nonlinear magnonic waveguides detected at ultrahigh frequency resolution
<p>Raw data and Python code for the manuscript "Emergent coherent modes in nonlinear magnonic waveguides detected at ultrahigh frequency resolution". All data files and source code are provided in a zip file. .ipynb file is a python jupyter notebook file which contains all the source codes to generate all the figures.</p> <p>Abstract: Nonlinearity of dynamic systems plays a key role for neuromorphic computing which is expected to reduce the ever-increasing power consumption of machine learning and artifical intelligence applications. For spin waves (magnons), nonlinearity combined with phase coherence is the basis of phenomena like Bose-Einstein condensation, frequency combs, and pattern recognition in neuromorphic computing. Yet, the broadband electrical detection of these phenomena with high frequency resolution remains a challenge. Here, we demonstrate the generation and detection of phase-coherent nonlinear magnons in an all-electrical GHz probe station based on coplanar waveguides connected to a vector network analyzer which we operate in a frequency-offset mode. Making use of an unprecedented frequency resolution, we resolve the nonlocal emergence of a fine structure of propagating nonlinear magnons, which sensitively depends on both power and a magnetic field. These magnons are shown to maintain coherency with the microwave source while propagating over macroscopic distances. We propose a multi-band four magnon scattering scheme which is in agreement with the field-dependent characteristics of coherent nonlocal signals in the nonlinear excitation regime. Our findings are key to enable the seamless integration of nonlinear magnon processes into high-speed microwave electronics and to advance phase-encoded information processing in magnonic neuronal networks.</p>
A wave detection procedure for electromagnetic cyclotron waves AND results (data) in case of the solar wind
<p>A detection procedure (produced via IDL) for electromagnetic cyclotron waves is presented,which is used to find low frequency waves in the solar wind over a period of 7 years. The procedure and the relevant results (data) are described in a manuscript entitled "Statistical study of low frequency electromagnetic cyclotron waves in the solar wind at 1 AU", which has been submitted to Journal of Geophysical Research - Space Physics for publication. More information about the procedure and data can be accessed by writing to the following address: zgqisp@163.com.</p>
SQUID: Transcriptomic Structural Variation Detection from RNA-seq -- simulation data part 3
<p>Simulation data part 3 for SQUID software.</p>
SQUID: Transcriptomic Structural Variation Detection from RNA-seq -- simulation data part 2
<p>Simulation data part 2 for SQUID software.</p>
SQUID: Transcriptomic Structural Variation Detection from RNA-seq -- simulation data part 1
<p>Simulation data part 1 for SQUID software.</p>
Data points from simulating the probability of detecting DMRs or Epimutations
<p>Data points from running script NewSim_10Iters.R provided under Zenodo object 10.5281/zenodo.1205728</p>
Supplementary material 4 from: Wu L-W, Lin W-J, Hsu Y-F (2018) A cryptic species, Dodona formosana, detected in the Dodona eugenes species complex: clarification of the taxonomic status of the Dodona butterfly in Taiwan. ZooKeys 736: 59-77. https://doi.org/10.3897/zookeys.736.22062
Haplotype information : Explanation note: Variable sites of 15 Dodona haplotypes among 14 sampled localities in Taiwan.
Supplementary material 3 from: Wu L-W, Lin W-J, Hsu Y-F (2018) A cryptic species, Dodona formosana, detected in the Dodona eugenes species complex: clarification of the taxonomic status of the Dodona butterfly in Taiwan. ZooKeys 736: 59-77. https://doi.org/10.3897/zookeys.736.22062
Phylogenetic trees : Explanation note: Topologies inferred by BI and ML methods based on COI and COII. S3a: BI phylogeny; S3b: ML phylogeny.
Supplementary material 6 from: Wu L-W, Lin W-J, Hsu Y-F (2018) A cryptic species, Dodona formosana, detected in the Dodona eugenes species complex: clarification of the taxonomic status of the Dodona butterfly in Taiwan. ZooKeys 736: 59-77. https://doi.org/10.3897/zookeys.736.22062
Images : Explanation note: Larval stages of Dodona formosana. A eggs B first instar C second instar D third instar E fourth instar F pupa.
Supplementary material 5 from: Wu L-W, Lin W-J, Hsu Y-F (2018) A cryptic species, Dodona formosana, detected in the Dodona eugenes species complex: clarification of the taxonomic status of the Dodona butterfly in Taiwan. ZooKeys 736: 59-77. https://doi.org/10.3897/zookeys.736.22062
Morphological genitalia : Explanation note: Additional male and female genitalia of Dodona formosana. S5a: A Dn032 B Dn039 C Dn064 D Dn067 E Dn082 F Dn026 G Dn059 H Dn083 I Dn090; S5b: Dn055.
Optimizing methodology for the detection of H3K27me3 levels using flow cytometry
<p>Optimizing methods to detect H3K27m3 levels using flow cytometry in patient AML cells.</p>
Supplementary material 5 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Video of a nest of the Gray-hooded Flycatcher, Mionectes rufiventris, containing two nestlings, being depredated by Three-striped Short-tailed Opossum, Monodelphis americana. Note that the small mammal has climbed the closed nest, found its entrance, and has invaded the interior of the nest. :
Supplementary material 4 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Video of an Ocelot, Leopardus pardalis, depredating a nest of Gray-hooded Flycatcher, Mionectes rufiventris. The video shows the moment in which a nestling try to leave the nest and is captured in the air by the Ocelot. :
Supplementary material 3 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Video of a nest of the Blue Manakin, Chiroxiphia caudata, being depredated by The Red-breasted Toucan, Ramphastos dicolorus. The video shows a young in late nestling stage being removed from the nest and being carried away by the toucan. :
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.