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638 results for “biomes”
FIGURE 2 in A new monotypic genus, a species synonymy and nomenclatural corrections in the arid-adapted Canthonini (Scarabaeidae, Scarabaeinae) from the Succulent Karoo Biome of south-western Africa
FIGURE 2. Map showing the type localities of Drogo stalsi gen. et. sp. n (*) and Elassocanthon brevipes Kolbe, 1908 (·) together with the type locality (G) and recent collecting localities (•) for Byrrhidium namaquense Scholtz and Howden, 1987 and B. convexum Scholtz and Howden, 1987 (Δ).
FIGURE 1 in A new monotypic genus, a species synonymy and nomenclatural corrections in the arid-adapted Canthonini (Scarabaeidae, Scarabaeinae) from the Succulent Karoo Biome of south-western Africa
FIGURE 1. Habitus and aedeagus of Drogo stalsi gen. et. sp. n. Dorsal (A) ventral (B) left lateral (C) and (D) frontal views of aedeagus.
FIGURE 5 in New species of Zygoclistron Rehn, 1905 (Insecta: Orthoptera: Acrididae: Copiocerinae) in the central corridor of the Atlantic Forest biome
FIGURE 5. Key to the males of Zygoclistron (adapted from Carbonell, 1969 and 1973) with Z. roraimae and Z. ruschii Silva n. sp. Z. modestum was not included because only females are known for this species.
FIGURE 4. Zygoclistron ruschii Silva n in New species of Zygoclistron Rehn, 1905 (Insecta: Orthoptera: Acrididae: Copiocerinae) in the central corridor of the Atlantic Forest biome
FIGURE 4. Zygoclistron ruschii Silva n. sp.: (A) Male holotype, habitus; (B) epiproct and cerci, dorsal view; (C) cerci and subgenital plate, lateral view; (D) epiphallus, dorsal view; (E) dorsal valve of aedeagus, lateral view; (F) ectophallus and endophallus, lateral view; (G) ectophallus and endophallus, dorsal view; (H) ovipositor valves, lateral view; (I) female allotype, habitus. Explanation of symbols for plate: an: ancorae; apd: apodeme of cingulum; br: bridge; ea: aedeagus; eap: endophallic apodeme; ep: endophallic plate; rc: rami of cingulum; sl: esclerite of lateral lobe; lp: lophi; os: oval sclerites; v: valves of aedeagus; zc: zygoma of cingulum. Scale bar = 0.5 mm. Scale bar for dorsal valve of aedeagus (E) = 0.1 mm.
FIGURE 3. Zygoclistron ruschii Silva n in New species of Zygoclistron Rehn, 1905 (Insecta: Orthoptera: Acrididae: Copiocerinae) in the central corridor of the Atlantic Forest biome
FIGURE 3. Zygoclistron ruschii Silva n. sp., (A) male and female (B) dorsal view, both pinned and dried. Scale bar = 0.5 cm.
FIGURE 2. Zygoclistron ruschii Silva n in New species of Zygoclistron Rehn, 1905 (Insecta: Orthoptera: Acrididae: Copiocerinae) in the central corridor of the Atlantic Forest biome
FIGURE 2. Zygoclistron ruschii Silva n. sp., (A) male (above) and female (below) alive, lateral view; (B) male and (C) female pinned and dried, both lateral views. Scale bar = 0.5 cm.
FIGURE 6 in New species of Zygoclistron Rehn, 1905 (Insecta: Orthoptera: Acrididae: Copiocerinae) in the central corridor of the Atlantic Forest biome
FIGURE 6. Key to the females of Zygoclistron (adapted from Carbonell, 1969 and 1973). Z. roraimae was not included because only males are known for this species.
FIGURE 1 in New species of Zygoclistron Rehn, 1905 (Insecta: Orthoptera: Acrididae: Copiocerinae) in the central corridor of the Atlantic Forest biome
FIGURE 1. Map of approximated occurrence of the genus Zygoclistron with new species Z. ruschii Silva n. sp.
FIGURES 5–12 in A new species of Pelecium Kirby (Coleoptera: Carabidae: Peleciini) from the Atlantic Forest biome, Brazil
FIGURES 5–12. Pelecium igneus Orsetti & Lopes-Andrade sp. nov., male holotype. Aedeagus (5–8) 5. Dorsal view 6. Left lateral view 7. Ven tr a l v ie w 8. Right lateral view 9. Penis, right lateral view 10. Left paramere 11. Right paramere 12. Tergite IX. Scale bar: 0.5 mm.
FIGURES 1–4 in A new species of Pelecium Kirby (Coleoptera: Carabidae: Peleciini) from the Atlantic Forest biome, Brazil
FIGURES 1–4. Pelecium igneus Orsetti & Lopes-Andrade sp. nov., male holotype. 1, 3 dorsal view 2, 4 ventral view. 3. Head, arrowhead points to excavations of frontal fovea 4. Detail of labial and maxillary palpomeres. Scale bars: 5 mm (1−2); 1 mm (3−4).
Fig 1 in Pheidole protaxi sp. nov. (Hymenoptera: Formicidae), new species from tabuleiro forests of the Atlantic Forest biome
Fig 1. Pheidole protaxi sp. nov., head: full-face view. A: holotype major worker, [LBSA_SA_14013667]. B: paratype minor worker, [LBSA_SA_14012040].
Fig 3 in Pheidole protaxi sp. nov. (Hymenoptera: Formicidae), new species from tabuleiro forests of the Atlantic Forest biome
Fig 3. Pheidole protaxi sp. nov., habitus: dorsal view. E: holotype major worker, [LBSA_SA_14013667]. F: paratype minor worker, [LBSA_SA_14012040].
Fig 2 in Pheidole protaxi sp. nov. (Hymenoptera: Formicidae), new species from tabuleiro forests of the Atlantic Forest biome
Fig 2. Pheidole protaxi sp. nov., habitus: left lateral view. C: holotype major worker, [LBSA_SA_14013667]. D: paratype minor worker, [LBSA_SA_14012040].
FIGURE 1 in Two new species of Metrichia Ross 1938 (Trichoptera: Hydroptilidae) from the Brazilian Amazon biome
FIGURE 1. Map of Roraima State, North Brazil Region, showing Iracema municipality limits (green polygon) and Campos Novos side road location (blue marker).
FIGURE 3 in Two new species of Metrichia Ross 1938 (Trichoptera: Hydroptilidae) from the Brazilian Amazon biome
FIGURE 3. Metrichia camposnovos sp. nov. Male genitalia: 3A, left lateral; 3B, ventral; 3C, dorsal; 3D, phallus, ventral.
FIGURE 2 in Two new species of Metrichia Ross 1938 (Trichoptera: Hydroptilidae) from the Brazilian Amazon biome
FIGURE 2. Metrichia iracema sp. nov. 2A, Male abdomen, dorsal. 2B–2E, Male genitalia: 2B, left lateral; 2C, ventral; 2D, dorsal; 2E, phallus, ventral. dlb = dorsolateral hairbrush, les = lateral external sac, ias = internal abdominal sac.
Supporting Data for "Innovative reforestation mosaics on marginal land in the globally important Mata Atlântica biome can create climate and economic co-benefits"
<p>This data is related to the article "Innovative reforestation mosaics on marginal land in the globally important Mata Atlântica biome can create climate and economic co-benefits."</p>
Distribution. Widespread in the C and W regions of S Africa, reaching to about 15° N in SW Angola. Occupies mainly arid and semi-arid areas, but also occurs in regions with higher precipitation and denser vegetation, such as the fynbos biome of South Africa's Western Cape Province. Cape Foxes have expanded their range over recent decades to the SW, where the species reaches the Atlantic and Indian Ocean coastlines. May occur in SW Swaziland, and possibly also in Lesotho. in Canidae
Distribution. Widespread in the C and W regions of S Africa, reaching to about 15° N in SW Angola. Occupies mainly arid and semi-arid areas, but also occurs in regions with higher precipitation and denser vegetation, such as the fynbos biome of South Africa's Western Cape Province. Cape Foxes have expanded their range over recent decades to the SW, where the species reaches the Atlantic and Indian Ocean coastlines. May occur in SW Swaziland, and possibly also in Lesotho.
Explainable Clustering Applied to the Definition of Terrestrial Biomes - data
<p>Data used for analysis in "Explainable Clustering Applied to the Definition of Terrestrial Biome" - using Decision Tree and Clustering techniques to identify biomes.</p> <p>Land surface properties:</p> <ul> <li><strong>TreeCover </strong>- Vegetation Continuous Fields (VCF) collection 6 fractional tree cover from DiMiceli et al. 2015, regridded as per Kelley et al. 2019</li> <li><strong>NonTreeCover </strong>- VCF fractional herb cover</li> <li><strong>Urban </strong>cover from the History Database of the Global Environment, Version 3.1 (HYDE) Klein Goldewijk et al. 2011</li> <li><strong>Crop </strong>cover (from HYDE)</li> <li><strong>Pasture </strong>Cover (from HYDE)</li> <li><strong>PopDen </strong>(population density from HYDE)</li> </ul> <p>Climate:</p> <ul> <li><strong>MAP_CRU </strong>- Mean annual precipitation from version 4.01 of the Climatic Research Unit Time Series high resolution gridded dataset (CRU TS v4.01) (Harris & Jones 2017)</li> <li><strong>MAT </strong>- Mean annual temperature from CRU)</li> <li><strong>MADD_CRU </strong>- Mean annual dry days from CRU - i.e seasonality of rainfall</li> <li><strong>MTWM </strong>- Mean Maximum Temperature of the warmest month from CRU</li> <li><strong>MTCM </strong>- Mean Minumum Temperature of the coldest month from CRU</li> <li><strong>SW1 </strong>- direct downwards SW simulated using the SLASH model using CRU cload cover</li> <li><strong>SW2 </strong>- diffuse downwards SW simulated using the SLASH model using CRU cload cover</li> <li><strong>BurntArea_GFED_four_s </strong>- Burnt area from Global Fire Emissions Database, Version 4.1 (GFEDv4.1) (Van Der Werf et al. 2017)</li> <li><strong>MaxWind</strong><em><strong> </strong></em>(Mean Max Windspeed from CRU-(National Centers for Environmental Prediction (Harris 2019)</li> </ul> <p>Dimiceli, C., Carroll, M., Sohlberg, R., Kim, D. H.,Kelly, M., and Townshend, J. R. G. (2015). Mod44bmodis/terra vegetation continuous fields yearly l3global 250m sin grid v006 (v006).</p> <p>Harris, I. (2019). CRU JRA v1. 1: A forcings dataset ofgridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data, January1901–December 2017, University of East Anglia Climatic Research Unit, Centre for Environmental DataAnalysis.</p> <p>Harris, I. and Jones, P. (2017). CRU TS4. 01: Climatic Re-search Unit (CRU) Time-Series (TS) version 4.01 ofhigh-resolution gridded data of month-by-month vari-ation in climate (Jan. 1901–Dec. 2016).Centre forEnvironmental Data Analysis, 25.</p> <p>Kelley, D. I., Bistinas, I., Whitley, R., Burton, C., Marthews,T. R., and Dong, N. (2019). How contemporary biocli-matic and human controls change global fire regimes</p> <p>Klein Goldewijk, K., Beusen, A., Van Drecht, G., and DeVos, M. (2011). The HYDE 3.1 spatially explicitdatabase of human-induced global land-use changeover the past 12,000 years.Global Ecology and Bio-geography, 20(1):73–86.</p> <p>Van Der Werf, G. R., Randerson, J. T., Giglio, L.,Van Leeuwen, T. T., Chen, Y., Rogers, B. M., Mu, M.,Van Marle, M. J., Morton, D. C., Collatz, G. J., et al.(2017). Global fire emissions estimates during 1997–2016.Earth System Science Data, 9(2):697–720.</p>
Distribution. Widespread in the C and W regions of S Africa, reaching to about 15° N in SW Angola. Occupies mainly arid and semi-arid areas, but also occurs in regions with higher precipitation and denser vegetation, such as the fynbos biome of South Africa's Western Cape Province. Cape Foxes have expanded their range over recent decades to the SW, where the species reaches the Atlantic and Indian Ocean coastlines. May occur in SW Swaziland, and possibly also in Lesotho. in Canidae
Distribution. Widespread in the C and W regions of S Africa, reaching to about 15° N in SW Angola. Occupies mainly arid and semi-arid areas, but also occurs in regions with higher precipitation and denser vegetation, such as the fynbos biome of South Africa's Western Cape Province. Cape Foxes have expanded their range over recent decades to the SW, where the species reaches the Atlantic and Indian Ocean coastlines. May occur in SW Swaziland, and possibly also in Lesotho.
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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.