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104 results for “habitat characteristics”
Habitat characteristics and species abundances of reptiles in northern Israel
<p>Data and auxiliary information collected in a field survey of reptile assemblages in northern Israel, conducted in the spring seasons from 2016 to 2018. Data were collected in 272 Mediterranean woodland and shrubland sites, exposed to different types of human land uses. Sites are located along a geo-climatic gradient of 120 km, with elevations between 50 m and 1,570 m above sea level. Species data contains the abundances of 15 lizards, six snakes and one tortoise. The species included in the data are:</p> <p><em>Mediodactylus orientalis, Ptyodactylus puiseuxi, Chamaeleo chamaeleon, Phoenicolacerta kulzeri, Phoenicolacerta laevis, Lacerta media, Ophisops elegans, Ablepharus rueppellii, Chalcides guentheri, Heremites vittate, Pseudopus apodus, Dolichophis jugularis, Hemorrhois nummifer, Platyceps collaris, Malpolon insignitus, Daboia palaestinae, Testudo graeca, Ptyodactylus guttatus, Laudakia stellio, Chalcides ocellatus, Eumeces schneideri, Psammophis schokari, </em>and<em> </em>unidentified lizard species.</p> <p>Data columns are:</p> <p>Sample = sample site code</p> <p>Date = sampling date</p> <p>Region = name of sub region in northern Israel</p> <p>Locality = sampling site name</p> <p>T_min = average minimum annual temperature from 1970 to 2000</p> <p>T_max = average maximum annual temperature from 1970 to 2000</p> <p>Precipitation = mean annual rainfal (mm) from 1970 to 2000</p> <p>Lat_sample = latitude of the centroid of the sampling site (m, ITM coordinate system)</p> <p>Lon_sample = longitude of the centroid of the sampling site (m, ITM cooridnate system)</p> <p>Elev_MEAN = elevation above sea level (m)</p> <p>EgrtPredPress = an estimate of predation pressure by cattle egrets (based on distance to nearest colony and colony size)</p> <p>Closeness = a visual estimate of vegetation cover</p> <p>Barrenness = a visual estimate of the amount of non-vegetated cover</p> <p>DISTURB = a visual estimate of the amount of anthropogenic disturbance to the site</p> <p>CATTLE = a visual estimate of cattle grazing pressure</p> <p>GOATS = a visual estimate of goat grazing pressure</p> <p>Shannon_LC = Shannon's index of habitat diversity</p> <p>Ndvi_MEAN = mean value of the normalized difference vegetation index captured by Landsat satellite imagery in August 2020</p> <p>Ndvi_STD = standard deviation of the values of the normalized difference vegetation index captured by Landsat satellite imagery in August 2020</p> <p>PreyLizAbun = total abundance of reptile species identified as cattle egret prey</p> <p>HerpAbun = total reptile abundance</p> <p>SpeciesRich = total species richness</p> <p>Columns 23 - 46: abundances of individual reptile species</p>
Fecal glucocorticoid metabolite levels of American pika (Ochotona princeps) and habitat characteristics of their associated territories found in rock glaciers adjacent to Niwot Ridge and within Rocky Mountain National Park, 2018 - 2019.
To understand whether stress-associated hormones vary with metrics of habitat quality, we measured fecal glucocorticoid metabolite (FGM) levels in the American pika (Ochotona princeps), a small mammal with well-defined habitat (talus), that can vary in quality depending on the presence of rock ice features (RIFs). In 2018, we sampled pika scat from two types of RIFs: “active” rock glaciers thought to harbor subsurface ice recently, and “fossil” rock glaciers considered long devoid of subsurface ice (as classified by Janke 2005, 2007). Specifically, fecal pellets were collected from pika territories located in rock glaciers within eight sites along the Front Range of Colorado: four in Rocky Mountain National Park (2 active, 2 fossil) and four adjacent to Niwot Ridge (2 active, 2 fossil) (pika_fecal_glu_rg.aw.csv). To account for possible seasonal variation in pika FGM, scat samples were collected in the alpine spring and fall. To understand other influences of habitat quality on FGMs, we also measured fine-scale habitat differences between rock glaciers in 2019, including talus depth, clast size, and land cover metrics related to forage (pika_fecal_habitat_rg.aw.csv).
Figure 2. Summer core area delineation. The straight line with a in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)
Figure 2. Summer core area delineation. The straight line with a slope of –1 represents the random use of space within the population seasonal range. The curve that sags below the line of random use represents the clumped use of space. The summer core area can be defined at the point whose tangent has slope –1, e.g. 85%, that is, whose tangent is parallel to the line of random use. This is also the point of the curve that is furthest from the line of random use.
Fig. 3a-j in Physico-chemical characteristics of habitats colonized by the pond snail Radix labiata (Gastropoda, Basommatophora, Lymnaeidae): a model approach
Fig. 3a-j: Graphical presentation of essential parameters associated with logistic regression: white vertical line: position of the maximum probability of occurrence (xmax), black bar: optimum range of the given variable, grey-shaded area: range of the given variable that is still tolerated by the species; a) water temperature, b) pH, c) electric conductivity, d) oxygen content in the water, e) nitrate concentration in the water, f) water depth, g) biological oxygen demand within five days, h) content of ammonium nitrogen, i) geographic altitude, j) current velocity.
Fig. 1 in Physico-chemical characteristics of habitats colonized by the pond snail Radix labiata (Gastropoda, Basommatophora, Lymnaeidae): a model approach
Fig. 1: General habitus of the shell of R. labiata as well as the living animal: a) Front view of the shell (height: 1.4 cm, width: 0.75 cm), b) back view of the shell, c) living animal with its typical triangular tentacles.
Fig. 2a-j in Physico-chemical characteristics of habitats colonized by the pond snail Radix labiata (Gastropoda, Basommatophora, Lymnaeidae): a model approach
Fig. 2a-j: Results of the logistic regression procedure carried out for ten environmental variables: a) water temperature, b) pH, c) electric conductivity, d) oxygen content in the water, e) nitrate concentration in the water, f) water depth, g) biological oxygen demand within five days, h) content of ammonium nitrogen, i) geographic altitude, j) current velocity.
Fig. 2 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics
Fig. 2. Cluster analysis of the results (individual years separated) based on Euclidian distance as distance measure and agglomeration according to Ward. Numbers indicate the percentage of replicates where each node is still supported (Hammer 2012)
Fig. 3 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics
Fig. 3. Ordination plot based on correspondence analysis (CA) of the results (individual years separated) for study sites (open circles) and species (open triangles)
Fig. 5 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics
Fig. 5. Ordination plot based on correspondence analysis (CA) of the results (years for the study sites pooled) for study sites (open circles) and species (open triangles)
Fig. 1 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics
Fig. 1. Scheme of the research object "Krzywda" (a) and location of the study sites (1-6) (b) (After Bùaszkiewicz & Schwerk (2013), modified).
Fig. 4 in Carabid beetle (Coleoptera: Carabidae) distribution in a rural landscape based on habitat diversity and habitat characteristics
Fig. 4. Cluster analysis of the results (years for the study sites pooled) based on Euclidian distance as distance measure and agglomeration according to Ward. Numbers indicate the percentage of replicates where each node is still supported (Hammer 2012)
Figure 10 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 10: Figure 10A. Southwestern part of Shimojishima Island, location. Red point: place of discovery. Figure 10B. Environment. Figure 10C. A discovered juvenile of Isometrus maculatus.
Figures 1–3 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figures 1–3: Figure 1. Location of Nansei Islands and Bonin Islands. Figure 2. Distribution of Liocheles australasiae (Fabricius, 1775) in the Nansei Islands. Figure 3. Distribution of Isometrus maculatus (De Geer, 1778) in the Nansei Islands.
Figure 4 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 4: Figure 4A. Northeastern part of Kurimajima Island, location. Red point: place of discovery. Figure 4B. Environment. Figure 4C. A discovered female of Liocheles australasiae. Figure 4D. A discovered Porcellio scaber.
Figure 11 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 11: Figure 11A. Central part of Shimojishima Island, location. Red point: place of discovery. Figure 11B. Environment. Figure 11C. A discovered female of Isometrus maculatus.
Figure 6 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 6: Figure 6A. Southeast part of Irabujima Island, location. Red point: place of discovery. Figure 6B. Environment. Figure 6C. A discovered female of Liocheles australasiae.
Figure 5 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 5: Figure 5A. Southeastern part of Irabujima Island, location. Red point: place of discovery. Figure 5B. Environment. Figure 5C–D. A discovered female of Isometrus maculatus with juveniles after the first ecdysis (the second instar) (C) and with newborns (the first instar) (D).
Fig. 4 in A new species of Anobothrus (Polychaeta, Ampharetidae) from the Weddell Sea (Antarctica), with notes on habitat characteristics and an updated key to the genus
Fig. 4. Anobothrus konstantini Säring & Bick sp. nov. A. Complete specimen with one outermost branchia, lateral view, arrow: dorsal ridge on segment 12 (TC 11, TU 7), additional material (ZSRO-P2657). B. Long thoracic notochaeta, additional material (ZSRO-P2658). C. Short thoracic notochaeta, additional material (ZSRO-P2658). D. Long notochaeta of the modified segment 12 (TC 11, TU 7), additional material (ZSRO-P2658). E. Short notochaeta of the modified segment 12 (TC 11, TU 7), additional material (ZSRO-P2658). F. Dorsal view of the anterior end, paratype (ZSRO-P2662). G. Lateral view of thoracic uncinus, additional material (ZSRO-P2658). H. Frontal view of thoracic uncinus, additional material (ZSRO-P2658). I. Lateral view of abdominal uncinus, additional material (ZSRO-P2658). J. Frontal view of abdominal uncinus, additional material (ZSRO-P2658). K. Lateral view of three thoracic segments, arrow: dorsal ridge on segment 12 (TC 11, TU 7) with slightly elevated notopodia, additional material (ZSRO-P2656). L. Lateral view of last thoracic, two intermediate and first abdominal segments, paratype (ZSRO-P2663). Scale bars: A = 500 µm; B–E = 100 µm; F, K = 200 µm; G–H = 10 µm; I–J = 5 µm; L = 50 µm.
Fig. 6 in A new species of Anobothrus (Polychaeta, Ampharetidae) from the Weddell Sea (Antarctica), with notes on habitat characteristics and an updated key to the genus
Fig. 6. Anobothrus konstantini Säring & Bick sp. nov. SEM micrographs. A. Anterior end and thorax, dorsal view, arrows: segment 6 (thoracic chaetiger 5, thoracic unciniger 1) and segment 12 (TC 11, TU 7), paratype (ZSRO-P2661). B. Pores in glandular band on segment 6 (TC 5, TU 1), dorsal view, paratype (ZSRO-P2661).C. Elevated ridge with cilia on segment 12 (TC 11, TU 7), dorsal view, paratype (ZSRO-P2661). D. Posterior end with papillose pygidium, lateral view, paratype (ZSRO-P2663). E. Last thoracic, two intermediate and first abdominal segments, lateral view, paratype (ZSRO-P2663). F. 4 longer and 3 shorter notochaetae of notopodium on segment 15 (TC 14, TU 10), paratype (ZSRO-P2661). G. Margin of short notochaetae on segment 15 (TC 14, TU 10), paratype (ZSRO-P2661). H. Margin of long notochaetae on segment 15 (TC 14, TU 10), paratype (ZSRO-P2661). I. Modified notochaetae on segment 12 (TC 11, TU 7), paratype (ZSRO-P2661). J. Abdominal uncini on abdominal segment 8, frontal view, paratype (ZSRO-P2663). K. Abdominal uncinus on abdominal segment 8, lateral view, paratype (ZSRO-P2663). Scale bars: A, E = 100 µm; B, I = 2 µm; C, D = 20 µm; F, H = 10 µm; G = 3 µm, J–K = 1 µm.
Fig. 5 in A new species of Anobothrus (Polychaeta, Ampharetidae) from the Weddell Sea (Antarctica), with notes on habitat characteristics and an updated key to the genus
Fig. 5. Anobothrus konstantini Säring & Bick sp. nov., additional material (ZSRO-P2658). Micro-CT graphs, additional material. A. Anterior end with arrangement of branchiae, dorsal view. B. Anterior end with arrangement of branchiae, frontal view (note semicircular arrangement of paleae; arrows: small paleae on each side). C. Frontal view of anterior end, without branchiae or paleae (note: Ampharete-type prostomium). D. Anterior end, transverse section of branchiae, paleae and prostomium (note arrows: small paleae on each side). Scale bars: A–D = 100 µm.
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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)
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DANDI Archive for NWB datasets
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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.