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625 results for “Anomaly”
Data for the research article: "Detecting Seismo-ionospheric Anomalies Possibly Associated with the 2019 Ridgecrest (California) Earthquakes by GNSS, CSES and Swarm Observations"
<p>The zip archives contain 10 .mat files (MATLAB readable). Each .mat file can be loaded into the MATLAB workspace using the <em>load</em> command.</p>
The relation between the surface composition anomaly and the distribution of the exosphere of Mercury
<p>This is the dataset used in "The relation between the surface composition anomaly and the distribution of the exosphere of Mercury", which is under review.</p>
Ocean temperatures and temperature anomalies during Hurricane Ida
<p> </p> <p>Images showing the ocean surface temperature and temperature anomaly (from climatology) 25 August to 4 September 2021 and Hurricane Ida's storm track, shown by the white line. The line is thicker to indicate the storm position for that day's image. </p> <p>Data in the image is from JPL MUR MEaSUREs Project. 2015. GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis. Ver. 4.1. PO.DAAC, CA, USA. Dataset accessed 2021-09-06 at <a href="https://doi.org/10.5067/GHGMR-4FJ04">https://doi.org/10.5067/GHGMR-4FJ04</a>.</p>
Anomaly Detection and Machine Learning
<p>The datasets were preprocessed. Correlated features were removed.</p> <p>Related papers:</p> <p><strong>[1]</strong> Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018</p> <p><strong>[2]</strong> Nour Moustafa, October 16, 2019, "UNSW_NB15 dataset", IEEE Dataport, doi: https://dx.doi.org/10.21227/8vf7-s525.</p> <p><strong>[3]</strong> “Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga. (2020). IoT-23: A labeled dataset with malicious and benign IoT network traffic (Version 1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4743746”</p> <p><strong>[4]</strong> A. D. Kent, “Comprehensive, Multi-Source Cybersecurity Events,” Los Alamos National Laboratory, http://dx.doi.org/10.17021/1179829, 2015.</p> <p> </p>
Timing of hydrologic anomalies direct impacts on migration traits in a flood pulse fishery system
<p>1. Understanding adaptive reservoir management strategies that balance ecological outcomes with other objectives necessitates properly articulated environmental objectives. Aside from flood pulse extent-related metrics, residual-based descriptors provide robust descriptions of fish assemblage structure and harvest.</p> <p>2. We proposed a model framework based on spectral analysis of hydrologic variation and the Multivariate AutoRegressive State Space (MARSS) model to statistically quantify the effect sizes of hydrologic variation impacts on total fish catch and functional group (migration types) fish harvest and applied it to 17 years of fish harvest data from the Lower Mekong River Basin (LMB).</p> <p>3. Our findings suggest that duration and timing of hydrologic anomalies matter as much as their magnitude. Anomaly droughts coupled with strong pulse can benefit species if timed correctly. Longitudinal migrators were more sensitive to anomalous floods and droughts than other migratory species. Fish catch projections using effect sizes derived from historical data revealed that a well-timed and protracted flood followed by a powerful flood pulse would be advantageous to the fishery, but a flood delay could negate such benefits.</p> <p>4. Our results add to a growing body of research that suggests ecological flows can be engineered. For most dams, the rule curve describing reservoir releases and resulting downstream hydrograph is designed in an ecological vacuum in which the objectives are to maximize human services—power production, flood control or navigation. Our work demonstrates that hydrograph can be designed to manage aspects of functional biodiversity directly. Though the exact shape of our hydrograph may not apply to other engineered river systems, we suggest that the approach can be applied generally, and globally both to developed and developing river basins. Specifically, a functional biodiversity rule curve could be optimized as an additional objective function in a multi-objective optimization framework. Our methodology provides a quantitative method for deriving an ecological flow for this larger tradeoff analysis.</p>
Figure 2 in Some anomalies in the development of jumping spider eyes (Araneae: Salticidae)
Figure 2. Similar ocular anomalies in a salticid (1-4) and lycosid (5-6) spider. 1-4, Salticid photographed in Mililani Mauka, Oahu, Hawaii (8 AUG 2017). 5-6, Lycosid photographed by the author (12 JUL 2013, Greenville County, South Carolina). Photo credits: 1-4, © Lowell Tyler, used with permission.
Figure 1 in Some anomalies in the development of jumping spider eyes (Araneae: Salticidae)
Figure 1. Some ocular deformations of salticids (1-2) and a lycosid (3). 1, Deformation photographed by Weng Keong Liew for a tropical salticid from southeast Asia, perhaps Cytaea. 2, Conjoining deformation of the primary eyes (AME) of a salticid photographed by Lowell Tyler in Mililani Mauka, Oahu, Hawaii (8 AUG 2017) This spider is also shown in Figure 2: 1-4. 3, Conjoining deformation of primary eyes (center, bottom row) and much larger medial secondary eyes (PME or MLE) of a lycosid spider photographed by the author (12 JUL 2013, Greenville County, South Carolina). This spider is also shown in Figure 2: 5-6.
Valdivia Bank Magnetic Anomaly Data and Magnetic Grids
<p>This dataset consists of all magnetic anomaly data and magnetic grids over Valdivia Bank. The anomaly data have been used to generate magnetic anomaly grid generated using GMT. Also, included is the crustal magnetization grid and bathymetry grid for Valdivia Bank.<br> </p>
Dataset for Quantum anomaly detection in the latent space of proton collision events at the LHC
<p>Dataset used for https://arxiv.org/abs/2301.10780. The initial dataset is compressed to a low-dimensional latent space using a deep autoencoder. Files with compressed data are provided here in HDF5 format. Different sets of files are given, for different choices of dimensionality for the latent space. A description of the dataset is provided in https://arxiv.org/abs/2301.10780</p>
Log-based anomaly detection datasets
<p>Dataset for the ICSE'22 paper: Log-based Anomaly Detection with Deep Learning: How Far Are We?</p> <p>If you find the data useful for your research, please cite the following paper:</p> <pre>@inproceedings{le2022log, title={Log-based anomaly detection with deep learning: How far are we?}, author={Le, Van-Hoang and Zhang, Hongyu}, booktitle={Proceedings of the 44th international conference on software engineering}, pages={1356--1367}, year={2022} }</pre>
A global marine gravity anomaly model SDUST2022GRA_IS2
<p>A global marine gravity anomaly model SDUST2022GRA_IS2 recovered from along- and across-track altimeter data of ICESat-2</p>
Covert Radiation Anomaly Bomb Sensor NaI Distance Testing
<p>This data if for Covert Covert Radiation Anomaly Bomb Sensor (CRABS). This contains the results for distance testing of the sodium Iodide gamma detectors. </p><p> </p>
Safety and Efficacy Study of Sirolimus in Complicated Vascular Anomalies
ClinicalTrials.gov study NCT00975819. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pattern Recognition and Anomaly Detection in Fetal Morphology Using Deep Learning and Statistical Learning
ClinicalTrials.gov study NCT05738954. IPD Sharing: YES. Countries: 1. Publications: 4.
An Efficacy and Safety Study of Niraparib in Men With Metastatic Castration-Resistant Prostate Cancer and DNA-Repair Anomalies
ClinicalTrials.gov study NCT02854436. IPD Sharing: Not stated. Countries: 15. Publications: 2.
Data for: Theoretical and practical considerations when using retroelement insertions to estimate species trees in the anomaly zone
Open the record for dataset details and reuse information.
Timing of hydrologic anomalies direct impacts on migration traits in a flood pulse fishery system
Open the record for dataset details and reuse information.
Bathymetry of the Antarctic continental shelf and ice shelf cavities from a 3D inversion of circumpolar gravity anomalies constrained by other data
Open the record for dataset details and reuse information.
Evolutionary implications of dental anomalies in bats
Open the record for dataset details and reuse information.
E-THEMIS Thermal Anomaly Simulation Observations
<p>This dataset contains 100,000 simulated observations of Europa with the E-THEMIS instrument. Each observation was generated by randomly selecting (1) one of 46 planned Europa flybys by the Europa Clipper from the 17F12_V2 trajectory and (2) the distance of the spacecraft to Europa (±50,000 km from closest approach). We used the KRC thermal model to simulate the Europa surface temperature as a function of latitude, longitude, and local solar time (Sun position). We simulated the appearance of Europa within the E-THEMIS field of view given the Europa radius of 1591 km. We used ray tracing to determine, given the surface temperature model and the relative positions of Europa and the spacecraft, the amount of thermal radiation from Europa that a given pixel would collect. We used Monte Carlo integration over 100 uniformly random sub-pixel locations within each pixel.</p> <p>We injected artificial thermal anomalies into the simulated Europa observations by selecting a random radius between 1 m and 25 km and random temperature between 75 K and 275 K, then modifying the modeled surface temperature. We used an instrument model that converts temperature to digital numbers to generate the final E-THEMIS data product.</p> <p>The ethemis_dn_to_temp.npz file contains the mapping from digital number to temperature in each of the three E-THEMIS bands. Each observation is also a <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.lib.format.html#module-numpy.lib.format">NPY-formatted</a> file containing the following entries:</p> <ul> <li>event_time: the simulated time at which the observation was acquired</li> <li>trial: the trial identifier (should match the file name)</li> <li>samples: the number of samples used in the Monte Carlo integration</li> <li>anomaly_radius_m: the (circular) anomaly radius in meters</li> <li>temperature: the temperature of the anomaly</li> <li>band1_dn: the digital number for each pixel in the observation (similar entries exist for the other bands)</li> <li>band1_mask: a mask specifying the fraction of each pixel containing an anomaly (similar entries exist for the other bands)</li> </ul> <p>The extracted dataset is roughly 18 Gb in size.</p>
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.