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289 results for “Regional assessment”
Figure 2 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 2 - Composition of South African (A, C, E) and Cape Floristic Region (B, D, F) katydid assemblages as characterised by their distribution (A, B), mobility (C, D), and trophic level (E, F) relative to their IUCN threat status.
Figure 1 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 1 - Proportion of South African (A, C, E, G) and Cape Floristic Region (B, D, F, H) katydid assemblages as characterised by the KBI assessment criteria (Threat Status, Distribution, Trophic level and Mobility).
Figure 4 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 4 - Distribution of Katydid Biotic Index (KBI) among ecosystem threat statuses (mean ± s.e.).
Figure 4 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 4 - Distribution of Katydid Biotic Index (KBI) among ecosystem threat statuses (mean ± s.e.).
Figure 3 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 3 - Distribution of South African and Cape Floristic Region katydid species among Tettigoniidae subfamilies.
Figure 2 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 2 - Composition of South African (A, C, E) and Cape Floristic Region (B, D, F) katydid assemblages as characterised by their distribution (A, B), mobility (C, D), and trophic level (E, F) relative to their IUCN threat status.
Figure 1 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 1 - Proportion of South African (A, C, E, G) and Cape Floristic Region (B, D, F, H) katydid assemblages as characterised by the KBI assessment criteria (Threat Status, Distribution, Trophic level and Mobility).
Figure 5 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 5 - Map of ecosystem threat statuses and the average KBI scores (i.e. KBI/Site) of each ecosystem.
Figure 3 from: Fenu G, Ferretti G, Gennai M, Lahora A, Mendoza-Fernández AJ, Mota J, Robles Sanchez J, Luis S, Schwarzer H, Sanchez-Gomez P, Viciani D, Orsenigo S (2017) Global and Regional IUCN Red List Assessments: 4. Italian Botanist 4: 61-71. https://doi.org/10.3897/ib.4.21595
Figure 3 - Saxifraga montis-christi in "Collo dei Lecci" Valley, Montecristo Island (Tuscan Archipelago). Photograph by L. Lazzaro.
Figure 6 from: Fenu G, Ferretti G, Gennai M, Lahora A, Mendoza-Fernández AJ, Mota J, Robles Sanchez J, Luis S, Schwarzer H, Sanchez-Gomez P, Viciani D, Orsenigo S (2017) Global and Regional IUCN Red List Assessments: 4. Italian Botanist 4: 61-71. https://doi.org/10.3897/ib.4.21595
Figure 6 - Extent of Occurrence (orange) and Area of Occupancy (2 × 2 km cell grid) of Halocnemum cruciatum in Spain.
Figure 1 from: Fenu G, Ferretti G, Gennai M, Lahora A, Mendoza-Fernández AJ, Mota J, Robles Sanchez J, Luis S, Schwarzer H, Sanchez-Gomez P, Viciani D, Orsenigo S (2017) Global and Regional IUCN Red List Assessments: 4. Italian Botanist 4: 61-71. https://doi.org/10.3897/ib.4.21595
Figure 1 - Saxifraga caprariae in "Fondo" Spring, below "Sella dell'Acciatore"; Capraia Island (Tuscan Archipelago). Photograph by M. Mannocci.
Figure 5 from: Fenu G, Ferretti G, Gennai M, Lahora A, Mendoza-Fernández AJ, Mota J, Robles Sanchez J, Luis S, Schwarzer H, Sanchez-Gomez P, Viciani D, Orsenigo S (2017) Global and Regional IUCN Red List Assessments: 4. Italian Botanist 4: 61-71. https://doi.org/10.3897/ib.4.21595
Figure 5 - Halocnemum cruciatum photographed in San Juan de los Terreros (Almería, Spain, photograph by A. Lahora, on the left) and in El Hondo (Alicante, Spain, photograph by L. Serra, on the right).
Figure 4 from: Fenu G, Ferretti G, Gennai M, Lahora A, Mendoza-Fernández AJ, Mota J, Robles Sanchez J, Luis S, Schwarzer H, Sanchez-Gomez P, Viciani D, Orsenigo S (2017) Global and Regional IUCN Red List Assessments: 4. Italian Botanist 4: 61-71. https://doi.org/10.3897/ib.4.21595
Figure 4 - Geographic range and distribution map of Saxifraga montis-christi. The red points mark the current localities of occurrence; the black point indicate the historical sites.
Figure 2 from: Fenu G, Ferretti G, Gennai M, Lahora A, Mendoza-Fernández AJ, Mota J, Robles Sanchez J, Luis S, Schwarzer H, Sanchez-Gomez P, Viciani D, Orsenigo S (2017) Global and Regional IUCN Red List Assessments: 4. Italian Botanist 4: 61-71. https://doi.org/10.3897/ib.4.21595
Figure 2 - Geographic range and distribution map of Saxifraga caprariae. The red points in the map mark the current localities of occurrence, while the black one indicates an historical site.
FIGURE 1 in Using community phylogenetics to assess phylogenetic structure in the Fitzcarrald region of Western Amazonia
FIGURE 1 | Maps depicting the location and year of collection expeditions in (purple dots) and near (orange dots) the Fitzcarrald region of Southwestern Amazonia. Collections from 77 localities in four river basins (black circles in lower-left image) collected over four field seasons. False-color map images generated from a DEM by Paulo Petry.
Dataset for "Optimistic growth of marginal region plantations under climate warming: assessing divergent drought resilience"
<p>Dataset for published paper "<em>Optimistic growth of marginal region plantations under climate warming: assessing divergent drought resilience</em>", including the original tree-ring for four species and site features (topographic information, soil conditions, and LIDAR extracted data).</p>
Figure 7 from: Orsenigo S, Cambria S, Crisafulli A, De Sanctis M, Fanelli G, Gennai M, Gonnelli V, Latini M, Nicolella G, Perrino EV, Serafini Sauli A, Silletti GN, Viciani D, Wagensommer RP, Fenu G (2018) Global and Regional IUCN Red List Assessments: 5. Italian Botanist 5: 83-99. https://doi.org/10.3897/italianbotanist.5.26028
Figure 7 Flowering individual of Vicia incisa at Castelli Romani (Lazio, Italy). Pictures by M. Latini.
Figure 5 from: Orsenigo S, Cambria S, Crisafulli A, De Sanctis M, Fanelli G, Gennai M, Gonnelli V, Latini M, Nicolella G, Perrino EV, Serafini Sauli A, Silletti GN, Viciani D, Wagensommer RP, Fenu G (2018) Global and Regional IUCN Red List Assessments: 5. Italian Botanist 5: 83-99. https://doi.org/10.3897/italianbotanist.5.26028
Figure 5 Trifolium latinum photographed in the Decima-Malafede Regional Park (Rome, Italy). Picutre by C. Fratarcangeli.
Figure 6 from: Orsenigo S, Cambria S, Crisafulli A, De Sanctis M, Fanelli G, Gennai M, Gonnelli V, Latini M, Nicolella G, Perrino EV, Serafini Sauli A, Silletti GN, Viciani D, Wagensommer RP, Fenu G (2018) Global and Regional IUCN Red List Assessments: 5. Italian Botanist 5: 83-99. https://doi.org/10.3897/italianbotanist.5.26028
Figure 6 Occurrence of Trifolium latinum. The black circle marks the current population; the black triangle indicates the historical site. 1: Municipality of Rome; 2: Decima-Malafede Regional Park.
Figure 3 from: Orsenigo S, Cambria S, Crisafulli A, De Sanctis M, Fanelli G, Gennai M, Gonnelli V, Latini M, Nicolella G, Perrino EV, Serafini Sauli A, Silletti GN, Viciani D, Wagensommer RP, Fenu G (2018) Global and Regional IUCN Red List Assessments: 5. Italian Botanist 5: 83-99. https://doi.org/10.3897/italianbotanist.5.26028
Figure 3 Ionopsidium albiflorum photographed in Santeramo in Colle (Bari). Picture by E.V. Perrino and G.N. Silletti.
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.