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625 results for “anomaly”
Data from: Climate-driven prediction of land water storage anomalies: An outlook for water resources monitoring across the conterminous United States
<p>These research data are associated with the manuscript entitled "Climate-driven prediction of land water storage anomalies: An outlook for water resources monitoring across the conterminous United States" (<a href="https://doi.org/10.1016/j.jhydrol.2020.125053" title="Persistent link using digital object identifier"><span>https://doi.org/10.1016/j.jhydrol.2020.125053</span></a>). The study focused on the conterminous United States (CONUS) which extends over a region of contrasting climates with an uneven distribution of freshwater resources. Under climate change, an exacerbation of the contrast between dry and wet regions is expected across the CONUS and could drastically affect local ecosystems, agriculture practices, and communities. Hence, efforts to better understand long-term spatial and temporal patterns of freshwater resources are needed to plan and anticipate responses. Since 2002, the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) satellite observations provide estimates of large-scale land water storage changes with an unprecedented accuracy. However, the limited lifetime and observation gaps of the GRACE mission have sparked research interest for GRACE-like data reconstruction. This study developed a predictive modeling approach to quantify monthly land liquid water equivalence thickness anomaly (LWE) using climate variables including total precipitation (PRE), number of wet day (WET), air temperature (TMP), and potential evapotranspiration (PET). The approach builds on the achievements of the GRACE mission by determining LWE footprints using a multivariate regression on principal components model with lag signals. The performance evaluation of the model with a lag signals consideration shows 0.5 ≤ R<sup>2</sup><span><span><span><span><span><span><span><span> ≤ 0.8 for 41.2% of the CONUS. However, the model's predictive power is unevenly distributed. The model could be useful for predicting and monitoring freshwater resources anomalies for the locations with high model performances.</span></span></span></span></span></span></span></span> The processed data used as inputs in the study are here provided including the GIS files of the different maps reported.</p>
Data from: Doping induced dielectric anomaly below the Curie temperature in molecular ferroelectric diisopropylammonium bromide
A dielectric anomaly induced by doping has been observed at about 340 K in chlorine doped diisopropylammonium bromide (DIPAB-C). The dielectric anomaly has a switchable behavior, which indicates potential applications on switches and sensors. Temperature dependent Raman spectrum, X-ray diffraction and DSC do not show any anomaly around the dielectric anomaly temperature, which prove that the dielectric anomaly does not come from structure phase transition and has no specific heat variety. It is assumed that this relaxation process can be attributed to the freezing of ferroelectric domain walls induced by the pinning of point defects.
Data from: Whole-genome analyses resolve the phylogeny of flightless birds (Palaeognathae) in the presence of an empirical anomaly zone
Palaeognathae represent one of the two basal lineages in modern birds, and comprise the volant (flighted) tinamous and the flightless ratites. Resolving palaeognath phylogenetic relationships has historically proved difficult, and short internal branches separating major palaeognath lineages in previous molecular phylogenies suggest that extensive incomplete lineage sorting (ILS) might have accompanied a rapid ancient divergence. Here, we investigate palaeognath relationships using genome-wide data sets of three types of noncoding nuclear markers, together totalling 20,850 loci and over 41 million base pairs of aligned sequence data. We recover a fully resolved topology placing rheas as the sister to kiwi and emu + cassowary that is congruent across marker types for two species tree methods (MP-EST and ASTRAL-II). This topology is corroborated by patterns of insertions for 4,274 CR1 retroelements identified from multi-species whole genome screening, and is robustly supported by phylogenomic subsampling analyses, with MP-EST demonstrating particularly consistent performance across subsampling replicates as compared to ASTRAL. In contrast, analyses of concatenated data supermatrices recover rheas as the sister to all other non-ostrich palaeognaths, an alternative that lacks retroelement support and shows inconsistent behavior under subsampling approaches. While statistically supporting the species tree topology, conflicting patterns of retroelement insertions also occur and imply high amounts of ILS across short successive internal branches, consistent with observed patterns of gene tree heterogeneity. Coalescent simulations indicate that the majority of observed topological incongruence among gene trees is consistent with coalescent variation rather than arising from gene tree estimation error alone, and estimated branch lengths for short successive internodes in the inferred species tree fall within the theoretical range encompassing the anomaly zone. Distributions of empirical gene trees confirm that the most common gene tree topology for each marker type differs from the species tree, signifying the existence of an empirical anomaly zone in palaeognaths.
FESOM model data used in the study on the buffer zone for great salinity anomaly
<p>Model data used in the study on the buffer zone for great salinity anomaly</p>
Datasets for ICSE'25 submission: "Scalable and Adaptive Log-based Anomaly Detection: A Synergistic Approach"
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Supercritical fluids cause the Mg-Fe isotope anomaly of arc magma: constraints from an ultrahigh-pressure eclogite-vein system in the Dabie orogen
<p>TableS1-S3</p>
Meridional propagation of carbon dioxide (CO2) growth rate and flux anomalies from the tropics due to ENSO
<p>El Niño Southern Oscillation (ENSO) influence on carbon dioxide (CO2) growth rates are not spatially uniform or simultaneous around the globe. Using atmospheric CO2 observations and atmospheric chemistry-transport model (ACTM), we show that the anomalies in CO2 fluxes and growth rate originate in the tropics, as an effect of ENSO. The CO2 anomalies are then propagated from the equator toward the poles with asymmetric delays. A maximum delay of about 8 and 4 months are found at the northern hemisphere (NH) and southern hemisphere (SH) high latitudes, respectively. This asymmetric time delay is because the CO2 flux anomaly mainly originate in the tropical SH land and transport of SH air into the NH is slower than that for NH air into the SH. The poleward increase of time delay is more homogeneous in the upper troposphere, as per the ACTM simulations, but observational evidence suffers from gaps in <br> long-term measurements.</p>
Dʺ Structures beneath the East China Sea resolved by P-wave slowness anomalies
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Dʺ structures beneath the East China Sea resolved by P-wave slowness anomalies
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HadOM3 flux anomaly ensemble
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Analysis of associated scrotal anomalies in boys with hypospadias
<p>Raw data from the study "Analysis of associated scrotal anomalies in boys with hypospadias" before statistical analyzed </p>
Domain-independent anomalies datasets (adaptions of the MVTec Anomaly Detection dataset)
<p>An adaption of the MVTec Anomaly Detection dataset, presented in the paper <em><a href="https://arxiv.org/abs/2407.02910">Domain-independent detection of known anomalies</a></em></p> <p>The datasets may be used to evaluate approaches on the hybrid task of detecting known anomalies across different, previously unseen objects.</p> <p>The source code for training and testing models on theses datasets can be found at: <a href="https://doi.org/10.5281/zenodo.11924708">https://doi.org/10.5281/zenodo.11924708</a></p>
Figure 2 in Interannual Variability of Water Exchange Anomalies Between the Northern, Middle and Southern Caspian Based on Satellite Altimetry Data
Figure 2. Position of the 133 and 209 tracks of the TOPEX/Poseidon and Jason-1/2/3 satellites on water area of the Caspian Sea and coordinate axes for calculation water exchange across these tracks. Dashed lines show geographic division of the Caspian Sea on three parts.
Dataset for "Electrical Conductivity of H2O-rich Silicate Melt: Implications for Subduction Zone Magnetotelluric Anomalies"
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Anomaly Detection on Dynamic Knowledge Graphs
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EAD: Effortless Anomalies Detection, A deep learning based approach for detecting outliers in textual data
<p>Xiuzhe Wang used this data set for his project</p>
Sentinel-2 New Anomalies AI4QC
<p>This dataset was used in the AI4QC project (Artificial Intelligence for Quality Control), in the context of the detection of new anomalies through unsupervised learning (unlabeled data). It consists of 6452 Sentinel-2 images (true color images in jpg format). The dataset was divided into training and testing folders (80% training and 20% testing). Two criterias were considered for the train/test split: seasonality and geographic location. </p> <p>An additional folder, "S2_additional_data" contains 61 more products which were flagged as anomalous by the MPC. This data is not included in the train/test folders but can be used if one wishes to increase the amount of S2 products.</p>
Sentinel-1 New Anomalies AI4QC
<p>This dataset was used in the AI4QC project (Artificial Intelligence for Quality Control), in the context of the detection of new anomalies through unsupervised learning (unlabeled data). It consists of 6344 Sentinel-1 images (quick-looks in png format). The dataset was divided into training and testing folders (80% training and 20% testing). Two criterias were considered for the train/test split: seasonality and geographic location. </p> <p>An additional folder, "S1_additional_data" contains 14 more products which were<span> collected from the region around Hawaii, which tends to give products containing RFIs.</span> This data is not included in the train/test folders but can be used if one wishes to increase the amount of S1 products.</p>
Full-waveform inversion reveals diverse origins of lower mantle positive wave speed anomalies
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Filming the sound: Anomaly Detection on Audio Tape Recordings using Computer Vision Algorithms
<p>This repository makes available the dataset related to the paper:</p> <p>Zafer Çınar, Alessandro Russo, Matteo Spanio, Niccolò Pretto, and Sergio Canazza, <em>Filming the Sound: Anomaly Detection on Audio Tape Recordings using Computer Vision Algorithms</em>, IAI4CH, Bozen, 2024.</p> <p>The dataset and the experiment are described in the publication above.</p> <p>This repository contains two main directories (<strong>bold</strong> indicates directory names):</p> <ul> <li><strong>video samples</strong>: the actual videos used in the paper's experiment. This folder contains four subdirectories - 3.75 ips, 7.5 ips, 15 ips, and 30 ips - each representing a different playback speed (in inches per second). Within each subdirectory are several MP4 files, recorded on an A810 Studer open reel recorder, documenting the playback of magnetic audio tapes. The files follow the naming convention “Xips (Y).mp4,” where <em>X</em> represents the tape playback speed and <em>Y</em> is a serial number identifier for each video.</li> <li><strong>irregularities</strong>: the metadata for each video with timestamp and type of irregularity. The folder includes four CSV files - 3.75.csv, 7.5.csv, 15.csv, and 30.csv - corresponding to the playback speeds of the video samples. Each CSV file provides handmade annotations for its respective videos, with three columns: <ul> <li><em>video_id</em>: name of the video file in the format “Xips (Y).mp4,” where <em>X</em> is the tape speed and <em>Y</em> is the ID number.</li> <li><em>time_label</em>: timestamp indicating the irregularity, formatted as HH:MM:SS.mls.</li> <li><em>irregularity_type</em>: category of the detected anomaly, which may be one of the following: “splice,” “shadow,” “end-of-tape,” or “annotation.”</li> </ul> </li> </ul>
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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.