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104 results for “habitat characteristics”
FIG. 2 in Burrow Characteristics and Habitat Associations of Gopher Tortoises in Urban Pine Rockland Reserves (Miami, Florida, USA)
FIG. 2. The two pine rockland sites included in this study are Zoo Miami (A) and the Deering Estate (B). The locations of tortoise burrows sampled in this study and random sampling points are indicated on each map. Zoo Miami is surrounded by adjacent pineland preserves and by extensive urban development. The Deering Estate is bounded by Biscayne Bay to the east and extensive urban development to the north and west. Representative habitats are shown from Zoo Miami (C) and the Deering Estate (D).
FIG. 4 in Burrow Characteristics and Habitat Associations of Gopher Tortoises in Urban Pine Rockland Reserves (Miami, Florida, USA)
FIG. 4. Non-metric multidimensional scaling (nMDS) plots illustrating differences among sampling point types. (A) Differences in habitat features between burrows and random points. (B) Differences in habitat features between two sites—Deering or Zoo Miami. While there is considerable overlap among point types, there are significant differences in habitat variables measured between point types (burrows and random points) and between sites (Zoo Miami and the Deering Estate).
FIG. 1 in Burrow Characteristics and Habitat Associations of Gopher Tortoises in Urban Pine Rockland Reserves (Miami, Florida, USA)
FIG. 1. Locations of two study sites (A, Zoo Miami and B, Deering Estate) in this study within the context of the larger global extent of the Miami pine rocklands and the range of the Gopher Tortoise. The inset at upper left indicates the geographic range of the Gopher Tortoise in the southeastern United States, and the red box in the inset indicates the extent of the main map. The larger map illustrates Miami-Dade County, and the historic and current distribution of the pine rocklands. Inset boxes show the two study sites.
The relative effects of pace of life and habitat characteristics on the evolution of sexual ornaments: a comparative assessment
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High spatial resolution mapping identifies habitat characteristics of the invasive vine Antigonon leptopus on St. Eustatius (Lesser Antilles)
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Data from: Linking habitat composition, local population densities and traffic characteristics to spatial patterns of ungulate-train collisions
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Habitat features and colony characteristics influencing ant personality and its fitness consequences
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Data from: Declines in occurrence of plants characteristic for a nutrient-poor meadow habitat are partly explained by their responses to nutrient addition and competition
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Data from: The effects of phylogeny, habitat, and host characteristics on the thermal sensitivity of helminth development
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Figure 5 in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)
Figure 5. Used elevation, inclination (violin plots) and aspect (histogram) of the Balkan chamois in Giona Mt. Black lines in the violin plots indicate 95% probability of occurrence in terms of Fixed Kernel Density Estimator and white dots indicate median values.
Figure 4. Seasonal range generated from a in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)
Figure 4. Seasonal range generated from a Fixed Kernel Density Estimator (FKDE) (95% probability) and respective core areas of Balkan chamois in Giona Mt for (A) winter, (B) spring, (C) summer and (D) autumn. In the upper right corner the diagram presents the delineation of the probability of species occurrence within the core area.
Figure 3 in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)
Figure 3. Annual range and core area of Balkan chamois in the study area, and overlap with the Natura 2000 site in Giona Mt.
Figure 1 in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)
Figure 1. Balkan chamois distribution in Greece, modified from Papaioannou and Kati 2007 (see Appendix 1).
Supplementary material 1 from: Sattler C, Schrader J, Hüttner M-L, Henle K (2024) Effects of management, habitat and landscape characteristics on biodiversity of orchard meadows in Central Europe: A brief review. Nature Conservation 55: 103-134. https://doi.org/10.3897/natureconservation.55.108688
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Figure 13 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 13: Figure 13A. Southwestern part of Miyakojima Island, location. Red point: place of discovery. Figure 13B. Environment. Figure 13C. A discovered female of Isometrus maculatus.
Figure 12 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 12: Figure 12A. Southeastern part of Miyakojima Island, location. Red point: place of discovery. Figure 12B. Environment. Figure 12C. A discovered female of Liocheles australasiae.
Figure 9 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 9: Figure 9A. Northwestern part of Shimojishima Island, location. Red point: place of discovery. Figure 9B. Environment. Figure 9C. A discovered male of Isometrus maculatus.
Figure 8 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 8: Figure 8A. Northeastern part of Shimojishima Island, location. Red point: place of discovery. Figure 8B. Environment. Figure 8C. A discovered female of Isometrus maculatus. Figure 8D. A discovered Balta vilis.
Figure 7 in Habitat characteristics of two scorpion species, Liocheles australasiae (Fabricius, 1775) and Isometrus maculatus (De Geer, 1778) in Miyako Islands, Japan
Figure 7: Figure 7A. Southern part of Irabujima Island B, location. Red point: place of discovery. Figure 7B. Environment. Figure 7C. A discovered female of Liocheles australasiae.
Figure 2 in Nest characteristics and breeding success of Sarus Crane, Antigone antigone (Linnaeus, 1758) (Aves: Gruidae) in different habitats at Dhanauri Wetland, Uttar Pradesh, India
Figure 2. Study area in Gautum Budh Nagar district, Noida, Uttar Pradesh showing roads (black lines) to monitor Sarus Crane nests and their breeding success during the study period, location of villages in red circles with names, wetlands> 40 ha (blue polygon) and village ponds> 8 ha (dark gray polygon). In the top left, the insets show the location of Uttar Pradesh in India (with state boundaries) and the blue spot in Uttar Pradesh blue spot shows Gautum Budh Nagar District.
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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.