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625 results for “Anomaly”
Figure 3 in An anomaly of pectinal organs in Vaejovis lapidicola (Scorpiones: Vaejovidae)
Figure 3: Sternopectinal area of Vaejovis lapidicola, female, showing a closeup of the abnormal pectines.
Figure 2 in An anomaly of pectinal organs in Vaejovis lapidicola (Scorpiones: Vaejovidae)
Figure 2: Vaejovis lapidicola, adult female, ventral view. Top. With abnormal pectines. Bottom. With normal pectines.
Figure 1 in An anomaly of pectinal organs in Vaejovis lapidicola (Scorpiones: Vaejovidae)
Figure 1: Top. Vaejovis lapidicola in natural habitat (adult female with abnormal pectines). Bottom. Holotype habitat.
Figure 4 in An anomaly of pectinal organs in Vaejovis lapidicola (Scorpiones: Vaejovidae)
Figure 4: Identication of sclerites in abnormal and normal pectines, Vaejovis lapidicola, female. The two sets of pectines are scaled the same in order to show proportions of the individual sclerites across abnormal and normal pectines.
Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction
<p>Representative Testing/Validation WSIs used in the manuscript "Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction"</p>
Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction
<p>Training image dataset used in the manuscript "Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction"</p>
Anomaly-free, flavour-dependent U(1) charge assignments for Standard Model/Standard Model plus three right-handed neutrino fermionic content
<p>We present lists of anomaly-free charge combinations up to a maximum magnitude charge Qmax given by the number at the end of the filename. Filenames beginning "SMcharges" are for the Standard Model fermion content, whereas "SMnuRcharges" are for Standard Model plus three right-handed neutrino fermion content. Use the bunzip2 program to unpack the larger files with a bz2 suffix.</p> <p>The files searchU1.cpp and searchU1.h contain C++ files (in the 2014 standard) to produce the solutions. runme.sh is a bash script that compiles the programs and then runs it several times, once to produce each file.</p> <p>filterNeut.cpp contains an example program that reads in one of the solution lists, applies a filter to it, and only prints out solutions that satisfy the filter.</p> <p>These data and programs are based on this paper: https://arxiv.org/abs/1812.04602</p> <p> </p>
ECMWF ERA5 Monthly surface air temperature anomalies (Celcius) relative to 1981-2010
<p><em>Monthly global-mean and European-mean surface air temperature anomalies relative to 1981-2010, from January 1979 to August 2019. Data source: ERA5. Credit: Copernicus Climate Change Service/ECMWF.</em></p> <p>See <a href="https://climate.copernicus.eu/surface-air-temperature-august-2019">https://climate.copernicus.eu/surface-air-temperature-august-2019</a> for more information.</p> <p><br> </p>
Figure 2. A in On tooth anomalies and the loss of Canis lupus (Mammalia: Carnivora) in Turkey*
Figure 2. A- Root fusion of the premolars (Skull No: 17), Balveols of the root fusion (Skull No: 17), C- root fusion (Skull No: 29), D- premolar tended to be 3-rooted (2 roots could not be seperated) (Skull No: 29), E- alveol of the root fusion (Skull No: 29), and F- root fusion anomaly in the lower jaw (Skull No: 29).
Figure 4. A in On tooth anomalies and the loss of Canis lupus (Mammalia: Carnivora) in Turkey*
Figure 4. A- Premolar loss (Skull No: 6), B- premolar loss (Skull No: 10), C- premolar loss (Skull No: 16), D- premolar loss (Skull No: 20), E- premolar loss (Skull No: 20), and F- molar loss (Skull No: 27).
Figure 7. A in On tooth anomalies and the loss of Canis lupus (Mammalia: Carnivora) in Turkey*
Figure 7. A- Carnassial remnant (Skull No: 3), B- premolar remnant (Skull No: 10), C- premolar remnant (Skull No: 19), and D- premolar remnant (Skull No: 27).
Figure 6. A in On tooth anomalies and the loss of Canis lupus (Mammalia: Carnivora) in Turkey*
Figure 6. A- Incisor fracture (Skull No: 9), B- incisor fracture (Skull No: 10), C- canine fracture (Skull No:12), D- premolar fracture (Skull No: 14), E- incisor fracture (Skull No: 16), Fmultiple fractures (Skull No: 18), G- multiple fractures (Skull No: 18), and H- incisor fracture (Skull No: 29).
Figure 3. A in On tooth anomalies and the loss of Canis lupus (Mammalia: Carnivora) in Turkey*
Figure 3. A- Premolar additional root bilaterally (Skull No: 11), B- additional root anomaly of the lower premolars overlapped the upper third premolars (Skull No: 11), and C- 3-rooted tooth (Skull No: 11).
Total water storage anomalies (TWSA) and streamflow in the Mississippi River Basin for 01/2003 to 12/2016
<p>This dataset includes observations and simulations of total water storage anomalies (TWSA) as well as streamflow that were used in the paper Schulze et al. (2024). The data covers the time period from 01/2003 to 12/2016. The TWSA [in millimeters] are basin averages, while the streamflow data [in cubic meters per second] refer to 68 gauge stations distributed over the Mississippi River Basin. </p> <p>The TWSA observations are derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission. The streamflow observations are provided by the Global Runoff Database (GRDC).</p> <p>The simulations are uncalibrated model runs of the WaterGAP Global Hydrology Model (WGHM; based on WaterGAP version 2.2d) as well as an Open Loop Simulation and simulations by assimilating GRACE-derived TWSA and/or streamflow observations. The TWSA observations are assimilated on a 4°x4° grid. The streamflow observations are assimilated at (1) all gauge stations with mean observed streamflow above 500 cubic meters per second, (2) all gauge stations with mean observed streamflow between 10 and 100 cubic meters per second, and (3) at randomly selected gauge stations.</p> <p>All files are packaged into a single ZIP archive for easy access and distribution.</p> <p>More details about the dataset and the assimilation are provided in:<br>Schulze, K., Kusche, J., Gerdener, H., Döll, P., Müller Schmied, H. (2024): Benefits and Pitfalls of GRACE and Streamflow Assimilation for Improving the Streamflow Simulations of the WaterGAP Global Hydrology Model. Submitted to Journal of Advances in Modeling Earth Systems (JAMES).</p>
Figs 14-17 in Dental anomalies in Didelphis albiventris (Mammalia, Marsupialia, Didelphidae) from Argentina, Brazil and Uruguay
Figs 14-17. Dental anomalies in Didelphis albiventris Lund, 1840 and D. marsupialis Linnaeus, 1758: 14, MZUSP 2996; 15, MNHN 3963; 16, MACN 24163; 17, MZUSP 4745. White arrows indicate the anomaly. See teXt for details.
Figs 8-13 in Dental anomalies in Didelphis albiventris (Mammalia, Marsupialia, Didelphidae) from Argentina, Brazil and Uruguay
Figs 8-13. Dental anomalies in Didelphis albiventris Lund, 1840: 8, ZVC 1285; 9, CFA 2663; 10, CFA 10249; 11, MACN 24168; 12, MACN 32.184; 13, MACN 36.734. White arrows indicate the anomaly. See teXt for details.
Figs 2-7 in Dental anomalies in Didelphis albiventris (Mammalia, Marsupialia, Didelphidae) from Argentina, Brazil and Uruguay
Figs 2-7. Dental anomalies in Didelphis albiventris Lund, 1840: 2, CFA 3235; 3, MACN 36753; 4, MACN 24174; 5, MACN 25.23; 6, MNHN 2590; 7, MACN 49.49. White arrows indicate the anomaly. See teXt for details.
Fig. 1 in Dental anomalies in Didelphis albiventris (Mammalia, Marsupialia, Didelphidae) from Argentina, Brazil and Uruguay
Fig. 1. Map with distribution of the analyzed specimens of Didelphis albiventris Lund, 1840 (grey squares), and distribution of the specimens with dental anomalies (black circles).
Figure 1 in A review of chromatic anomalies in Blanus (Amphisbaenia: Blanidae) through citizen science records
Figure 1. Six of the 14 new records of hypopigmentation in Blanus spp.: A) Blanus aporus with piebaldism; B) Blanus vandelli with piebaldism; C) Blanus cinereus with piebaldism; D) Blanus cinereus with amelanism; E-F) Blanus vandelli with piebaldism. Credits: A) Jan van der Winden, CC BY-NC 4.0; B) Francisco Rodriguez, CC BY-NC 4.0; C) Jan van der Winden, CC BY-NC 4.0; D) José Sousa, reproduced with permission; E) Ernesto Raya, CC BY-NC 4.0; F) Toño García, CC BY-NC 4.0.
Fig. 4 in Unsuccessful predation on Middle Paleozoic plankton: Shell injury and anomalies in Devonian dacryoconarid tentaculites
Fig. 4. The shells of the Recent planktonic gastropod larvae bearing traces of repaired injuries. A. CGU JF819; A1, apical view of cypraeid protoconch with repaired apertural margin; A2, detailed view of specimen A1. B. CGU JF820; B1, detail of view of turrid protoconch; B2, lateral view of turrid protoconch. C. CGU JF821, naticid protoconch with repaired apertural margin. Damaged apertural margins indicated by white arrows. Scale bars 0.1 mm.
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.