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645 results for “Spatial distributions”
Figure 2 in Spatial distribution and dietary niche breadth of the leopard Panthera pardus (Carnivora: Felidae) in the northeastern Himalayan region of Pakistan
Figure 2. Map showing locations of study sites where abundance of prey species was recorded in and around Pir Lasura National Park, Azad Jammu and Kashmir, Pakistan.
Figure 6 in Spatial distribution of the epigeic species of earthworms Dendrobaena octaedra and D. attemsi (Oligochaeta: Lumbricidae) in the forest belt of the northwestern Caucasus
Figure 6. Real and potential distributions of D. octaedra and D. attemsi in northwestern Caucasus. Note: The left column shows the maps of the location points (Locations) of the model species in the current forest borders (Forest), on the right, the potential area of the model species and the contour isolines. The level of probability of finding a species at a specific point is indicated by the gradation of the colors and shades.
Figure 5. Sampling frequency D in Spatial distribution of the epigeic species of earthworms Dendrobaena octaedra and D. attemsi (Oligochaeta: Lumbricidae) in the forest belt of the northwestern Caucasus
Figure 5. Sampling frequency D. octaedra in the plant litter and deadwood in the main forest types of northwestern Caucasus.
Dataset to the manuscript titled "Mixing state, spatial distribution, sources and photochemical enhancement to sulfate formation of black carbon particles in the Arctic Ocean during summer"
Open the record for dataset details and reuse information.
Data from: Lateralization in alpha-band oscillations predicts the locus and spatial distribution of attention
Attending to a task-relevant location changes how neural activity oscillates in the alpha band (8–13Hz) in posterior visual cortical areas. However, a clear understanding of the relationships between top-down attention, changes in alpha oscillations in visual cortex, and attention performance are still poorly understood. Here, we tested the degree to which the posterior alpha power tracked the locus of attention, the distribution of attention, and how well the topography of alpha could predict the locus of attention. We recorded magnetoencephalographic (MEG) data while subjects performed an attention demanding visual discrimination task that dissociated the direction of attention from the direction of a saccade to indicate choice. On some trials, an endogenous cue predicted the target's location, while on others it contained no spatial information. When the target's location was cued, alpha power decreased in sensors over occipital cortex contralateral to the attended visual field. When the cue did not predict the target's location, alpha power again decreased in sensors over occipital cortex, but bilaterally, and increased in sensors over frontal cortex. Thus, the distribution and the topography of alpha reliably indicated the locus of covert attention. Together, these results suggest that alpha synchronization reflects changes in the excitability of populations of neurons whose receptive fields match the locus of attention. This is consistent with the hypothesis that alpha oscillations reflect the neural mechanisms by which top-down control of attention biases information processing and modulate the activity of neurons in visual cortex.
Figure 6 in Spatial distribution and substrate selection by the orb-weaver spider Eustala perfida Mello-Leitão, 1947 (Araneae: Araneidae)
Figure 6. Frequency of occupation of different heights classes by Eustala perfida (n = 104).
Figure 1 in Spatial distribution of Neoergasilus japonicus (Copepoda: Ergasilidae) on the fins of bluegill (Lepomis macrochirus)
Figure 1. Sections within the dorsal and anal fins of Lepomis macrochirus.
Figure 2 in Along- and across-shore components of the spatial distribution of the clam Tivela mactroides (Born, 1778) (Bivalvia, Veneridae)
Figure 2. Along-shore variation in the number of individuals (¡SE; n53) of Tivela mactroides in the shallow subtidal in Caraguatatuba Bay. The labels indicate the significant differences obtained in the a posteriori SNK test. ANOVA (see text for results) and SNK tests were conducted on fourth-root transformed data. See Figure 1 for location of stations.
Figure 1 in Spatial and temporal distribution of zooplankton in Lake Trichonis (Greece)
Figure 1. Lake Trichonis with the three sampling stations (A, B, C).
Figure 2 in Spatial and temporal distribution of breeding anurans in streams in southeastern Brazil
Figure 2. Mean monthly rainfall (bars), mean air temperature (solid line) and mean water temperature (dotted line) at the RPPN Santuário do Caraça, southeastern Brazil, from August 2003 to October 2004.
Increased signal to noise ratios within experimental field trials by regressing spatially distributed soil properties as principal components.
<p>Data and scripts used to perform all analyses and produce all figures for publication. </p>
Fig. 1 in Spatial and temporal distribution patterns of ichthyoplankton in a region affected by water regulation by dams
Fig. 1. Location of the sampling sites in the Ilha Grande National Park (1: Bandeirantes right channel; 2: Amambaí; 3: Triângulo; 4: Porto Santo Antônio; 5: Peruzzi; 6: Paraná/ Iguatemi; 7: Iguatemi; 8: Paraná/Saraiva; 9: Saraiva middle; 10: Saraiva Channel; 11: Ilha Grande right channel; 12: Bandeirantes left channel; 13: Ilha Grande Pontal; 14: Alvarenga; 15: Esmeralda; 16: Três Coqueiros; 17: São João; 18: Porto Luiz; 19 Porto Cerâmica; 20: Piquiri; 21: Porto Terra Roxa; 22 Ilha Grande left channel; 23: Xambrê River; 24: Xambrê middle).
Fig. 3 in Environmental influences on the spatial and temporal distribution of the puffer fish Sphoeroides greeleyi and Sphoeroides testudineus in a Brazilian subtropical estuary
Fig. 3. Monthly ratio between catch rate and mean body mass of S. greeleyi (a) and S. testudineus (b) on the north-south axis of the estuarine complex of Paranaguá, Paraná State. The numbers on the catch rate curve refer to absolute frequency and the deviation bars on the mean body mass curve indicate standard deviation.
Figure 4 from: Khalaf M, Abdallah M (2014) Spatial distribution of fifty ornamental fish species on coral reefs in the Red Sea and Gulf of Aden. ZooKeys 367: 33-64. https://doi.org/10.3897/zookeys.367.5476
Figure 4 - Differences in mean fish abundance per 500 m² transect according to latitudinal distribution for the families: Acanthuridae (Acanthurus sohal, Naso lituratus, Zebrasoma veliferum and Zebrasoma xanthurum), Balistidae (Balistoides undulates, Balistoides viridescens, and Rhinecanthus assasi), Chaetodontidae (Chaetodon lineolatus, Heniochus acuminatus, Chaetodon mesoleucos, Chaetodon semilarvatus, Chaetodon auriga, Chaetodon fasciatus, Chaetodon melannotus, Chaetodon larvatus, Chaetodon paucifasciatus, Chaetodon austiacus, Chaetodon trifascialis, Heniochus intermedius, Chaetodon melapterus, and Chaetodon vagabundus), and Pomacanthidae (Pomacanthus asfur, Pomacanthus imperator, Pomacanthus maculosus and Pygoplites diacanthus).
Figure 3 from: Khalaf M, Abdallah M (2014) Spatial distribution of fifty ornamental fish species on coral reefs in the Red Sea and Gulf of Aden. ZooKeys 367: 33-64. https://doi.org/10.3897/zookeys.367.5476
Figure 3 - Mean number of fish species, mean number of individuals, and mean Shannon-Wiener Diversity Index in coral reef along the Jordan latitude 29°; Egypt latitude 27°; Saudi Arabia latitude 22, 21, 20°; Yemen 15° and Djibouti latitude 12, 11°.
Figure 7 from: Khalaf M, Abdallah M (2014) Spatial distribution of fifty ornamental fish species on coral reefs in the Red Sea and Gulf of Aden. ZooKeys 367: 33-64. https://doi.org/10.3897/zookeys.367.5476
Figure 7 - Cluster analysis of relationships between ornamental fish assemblages (Bray-Curtis similarity) from different countries in the Red Sea and Gulf of Aden region. Country Key: J29°= sites at latitude at 29° on the Jordanian coast, JMSS 29= Marine Science Station, JTC 29= Tourist Camp, JVC= Visitor Center; E27°= sites at latitude 27° in Egypt, EALN 27= AL-Noksh, EMA 27= Mahmoudat, EFD 27= Fanar Dolphin, EE 27= Elli, ERM 27= Ras Mohamad, EZA 27= Zorab; SA22, SA21 and SA20° = sites at latitudes on the Saudi Arabia coast, SATA 22= Thoal- Awjam, SABT 22= Bostek/Thoal, SAAKA 21= Alkabeera, SABYA 21= Bayada, SASBB 21= South Batch Bayada, SAALS 21= Al-Sagheera, SAAKH 21= Al-Kherq, SAAL 20= Alleeth; Y15°= sites at latitude along the Yemeni coast, YKAD 15= Kadaman, YKAM 15= Kamaran, YTEK 15= Tekfash, YQUI 15= Quish, YALM 15= Al-murk, YALB 15= Al-Badi; Dj11 and Dj12° =sites at latitudes 11 and 12° along the Djiboutian coast, DJGE 12= Gehere, DJKA 11= Khor Ambado, DJMA 11= Maskali, DJMU 11= Musha, DJTA 11= Tajoura, DJAP 11= ArtaPlaga.
Figure 2 from: Khalaf M, Abdallah M (2014) Spatial distribution of fifty ornamental fish species on coral reefs in the Red Sea and Gulf of Aden. ZooKeys 367: 33-64. https://doi.org/10.3897/zookeys.367.5476
Figure 2 - Percent cover (%) for substrate types at all latitudes [(JO=Jordan, EG=Egypt, SA= Saudi Arabia, YE=Yemen, DJ=Djibouti), where (HC=Hard coral, SC=Soft coral, DC=Dead coral, CR=Coral rock, AT=Algal turf, MA=Macroalgae, RB=Rubble, SN=Sand, SP=Sponge, OT=Others)].
Figure 1 from: Khalaf M, Abdallah M (2014) Spatial distribution of fifty ornamental fish species on coral reefs in the Red Sea and Gulf of Aden. ZooKeys 367: 33-64. https://doi.org/10.3897/zookeys.367.5476
Figure 1 - Map of the Red Sea and Gulf of Aden. Squares indicate the coral reef sites examined in the present study.
Figure 6 from: Khalaf M, Abdallah M (2014) Spatial distribution of fifty ornamental fish species on coral reefs in the Red Sea and Gulf of Aden. ZooKeys 367: 33-64. https://doi.org/10.3897/zookeys.367.5476
Figure 6 - Differences in mean fish abundance per 500 m² transect according to latitudinal distribution for the fish species belonging to the family Scorpaeinidae (Pterois miles, Pterois radiata), Ostraciidae (Ostracion cubicus), and Tetraodontidae (Arothron diadematus).
Figure 5 from: Khalaf M, Abdallah M (2014) Spatial distribution of fifty ornamental fish species on coral reefs in the Red Sea and Gulf of Aden. ZooKeys 367: 33-64. https://doi.org/10.3897/zookeys.367.5476
Figure 5 - Differences in mean fish abundance per 500 m² transect according to latitudinal distribution for the fish species belonging mainly to families: Pomacentridae (Amphiprion bicinctus, Dascyllus aruanus, Dascyllus marginatus, Dascyllus trimaculatus, and Chromis viridis), Pseudochromidae (Pseudochromis fridmani, Pseudochromis flavivertex and Pseudochromis springeri), Cirrhitidae (Paracirrhites forsteri), Serranidae (Pseudanthias squamipinnis), and Labridae (Anampses twistii, Cheilinus lunulatus, Gomphosus caeruleus, Paracheilinus octotaenia, Labroides dimidiatus, Larabicus qudrilineatus, Thalassoma rueppellii, Thalassoma lunare, Bodianus anthioides, Coris aygula and Novaculichthys taeniourus).
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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.