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8,119 results for “species distribution”
Figure 13 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 13. Spinoncaea tenuis sp. nov., female (Red Sea). (A) Antenna; (B) labrum, anterior; (C) same, posterior; (D) mandible, showing individual elements; (E) maxillule; (F) maxilla; (G) maxilliped, anterior; (H) paragnaths, ventral.
Figure 6 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 6. Spinoncaea ivlevi (Shmeleva, 1966) comb. nov., female, elongate form (Red Sea). (A) Habitus, dorsal; (B) urosome, dorsal, seta V on CR omitted [b: P5-bearing somite, ventral, showing midventral spinous processes, exopodal setae omitted]; (C) P4, endopod, anterior, showing reduced inner setae on second segment. Spinoncaea ivlevi (Shmeleva, 1966) comb. nov., female (Adriatic Sea). (D) Habitus, dorsal, pore pattern on prosome not fully discerned; (E) urosome, dorsal; (F) caudal ramus, dorsal, seta VII shown separately; (G) P4, endopod, posterior.
Figure 9 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 9. Spinoncaea humesi sp. nov., female (Red Sea). (A) Antenna; (B) labrum, anterior; (C) same, posterior; (D) mandible, showing individual elements; (E) maxillule; (F) maxilla; (G) maxilliped, anterior.
Figure 4 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 4. Spinoncaea ivlevi (Shmeleva, 1966) comb. nov., female, robust form (Red Sea). (A) P1, anterior [a: second endopod segment, arrow indicating ornamentation on inner margin]; (B) P2, anterior, intercoxal sclerite not shown; (C) P3, posterior; (D) P4, anterior, intercoxal sclerite not shown.
Figure 3 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 3. Spinoncaea ivlevi (Shmeleva, 1966) comb. nov., female, robust form (Red Sea). (A) Antenna, lateral elements are numbered using Roman numerals, distal elements are identified by capital letters; (B) labrum, anterior; (C) same, posterior; (D) mandible, showing individual elements, which are identified by capital letters; (E) maxillule; (F) maxilla; (G) maxilliped, anterior.
Figure 1 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 1. Location of stations. ' = VALDIVIA-Cruise 29, October 1980; - = METEOR-Cruise 5/1, January 1987; • = METEOR-Cruise 5/3b, May 1987; ' = METEOR-Cruise 5/5, July/August 1987; · = METEOR-Cruise 44/2, March 1999.
Figure 5 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 5. Spinoncaea ivlevi (Shmeleva, 1966) comb. nov., male (Red Sea). (A) Habitus, dorsal; (B) maxilliped, anterior [b: same, medial view, claw partly omitted]; (C) maxilliped, posterior; (D) urosome, dorsal, seta V on CR omitted; (E) urosome, ventral; (F) same, lateral; (G) antennule, small middle aesthetasc close to seta figured separately.
Figure 8 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 8. Spinoncaea humesi sp. nov., female (Red Sea). (A) Habitus, dorsal; (B) same, lateral (appendages omitted); (C) urosome, dorsal; (D) urosome, lateral; (E) P5-bearing somite (setae on left side omitted) and genital double-somite, ventral; (F) caudal ramus, dorsal; (G) antennule; (H) leg 5, lateral; (I) same, dorsal; (J) genital aperture.
Figure 16 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 16. Spinoncaea tenuis sp. nov., female (Adriatic Sea). (A) Habitus, dorsal, pore pattern on prosome not discerned; (B) urosome, dorsal; (C) P4, posterior. Spinoncaea tenuis sp. nov., male (Adriatic Sea) (D) Habitus, dorsal, pore pattern not fully discerned.
Figure 2 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 2. Spinoncaea ivlevi (Shmeleva, 1966) comb. nov., female, robust form (Red Sea). (A) Habitus, dorsal; (B) same, lateral (appendages omitted); (C) urosome, dorsal, seta V on left side missing; (D) urosome, lateral; (E) P5-bearing somite and genital double-somite, ventral; (F) caudal ramus, dorsal, lanceolate seta V shown separately; (G) antennule; (H) leg 5, dorsal; (I) same, ventral; (J) genital aperture; (K) paired egg-sac [note the scale].
Figure 15 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 15. Spinoncaea tenuis sp. nov., male (Red Sea). (A) Habitus, dorsal; (B) maxilliped, anterior, syncoxa missing [b: inner margin of basis, posterior]; (C) maxilliped, medial view; (D) urosome, dorsal, seta V omitted; (E) urosome, ventral, seta V on right side omitted; (F) same, lateral; (G) antennule [g: inner margin of segments 1–3, showing ornamentation].
Figure 14 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 14. Spinoncaea tenuis sp. nov., female (Red Sea). (A) P1, anterior; (B) P2, anterior; (C) P3, posterior; (D) P4, posterior, intercoxal sclerite not shown.
Figure 11 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 11. Spinoncaea humesi sp. nov., male (Red Sea) (A) Habitus, dorsal; (B) maxilliped, anterior; (C) maxilliped, medial view; (D) urosome, dorsal, seta V on left side missing; (E) urosome, ventral; (F) same, lateral; (G) antennule, middle aesthetasc on segment 4 arrowed.
Figure 7 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 7. Spinoncaea ivlevi (Shmeleva, 1966) comb. nov., female, robust form (Monterey Bay). (A) Urosome, dorsal. Spinoncaea ivlevi (Shmeleva, 1966) comb. nov., male (Adriatic Sea). (B) Habitus, dorsal, pore pattern on prosome not discerned.
Figure 10 in Taxonomy of Oncaeidae (Copepoda, Poecilostomatoida) from the Red Sea. V. Three species of Spinoncaea gen. nov. (ivlevi-group), with notes on zoogeographical distribution
Figure 10. Spinoncaea humesi sp. nov., female (Red Sea). (A) P1, posterior; (B) P2, posterior, intercoxal sclerite not shown; (C) P3, posterior; (D) P4, posterior, reduced proximal seta on second endopod segment arrowed.
Рис. 2. Изменение виΑового богатства и таксономической структуры зонаΛьных фаун прямокрыΛых северо-востока Русской равнины. Fig. 2. Changes in species richness and taxonomic structure of Orthoptera fauna of the Russian Plain. in Fauna and landscape-zonal distribution of Orthoptera in the Komi Republic (Russia)
Рис. 2. Изменение виΑового богатства и таксономической структуры зонаΛьных фаун прямокрыΛых северо-востока Русской равнины. Fig. 2. Changes in species richness and taxonomic structure of Orthoptera fauna of the Russian Plain.
Dataset from: Tolerance to aerial exposure influences distributional patterns in multi-species intertidal seagrass meadows
<p>This is the dataset for an article published in Marine Environmental Research titled, 'Tolerance to aerial exposure influences distributional patterns in multi-species intertidal seagrass meadows', in October 2023. Following is the abstract for the paper for which this was the primary data:</p><p>Multi-specific seagrass meadow assemblages dominate most tropical intertidal regions but the relative role of environmental stress in determining distribution patterns is still uncertain. Here we combine observational and experimental approaches to examine aerial exposure as a factor driving species occurrence patterns in intertidal meadows of the Andaman archipelago, where up to 6 seagrass species co-occur. In the studied meadow, patterns of exposure did not map onto distance from the coast, instead creating a patchy matrix of exposure, based on fine-scale bathymetric differences. Distributional surveys showed that seagrass species were similarly patchy, often tracking the degree of aerial exposure during low tide. While some species (<i>Halophila ovalis, Halophila minor,</i> and <i>Thalassia hemprichii</i>) frequently occurred in submerged or subtidal areas and were rarely found in completely exposed areas, other species (<i>Cymodocea rotundata</i>, <i>Halophila beccarii,</i> and <i>Halodule uninervis</i>) also occupied areas that were subject to partial or complete aerial exposure during low tide. To confirm this pattern, we used field-based transplant experiments, employing a natural gradient of tidal exposure to subject six seagrass species to different desiccation exposure times. After a month, <i>H. beccarii</i> and <i>H. uninervis</i> transplants survived in areas that sustained more than 3 h of aerial tidal exposure without significant mortality, compared with other species (<i>H. ovalis, H. minor, T. hemprichii, C. rotundata</i>) that showed dramatic shoot mortality at the same exposure regimes. For all species, 4 h represented the upper limit of exposure, in both experimental and distributional studies. However, despite their wider tolerance of exposure to air, <i>H. beccarii</i> and <i>H. uninervis</i> did not dominate the entire meadow. This could be a result either of their poor tolerance to other environmental factors or their lower competitive abilities among other mechanisms. This suggests that in tropical multi-specific meadows, strong environmental filters could override clear intertidal zonation to create patchy matrices based on species tolerances.</p>
Code and data for Bayesian joint species distribution model selection for community-level prediction
<p>Code and data for reproducing the analysis in the manuscript "Bayesian joint species distribution model selection for community-level prediction." Provided data include percent cover observations for 39 modeled vascular plant species within boreal forest understory communities and environmental model covariates. R code is provided to generate model inputs, apply alternative models, generate out-of-sample predictions, and calculate associated community and species log scores and alternative model evaluation metrics. Further, R source code is provided to implement the multinomial joint species distribution model defined in the manuscript. Details on the data, its processing, and the alternative model definitions and structure can be found in the main text of the manuscript. Provided data are currently being used in ongoing analyses and coordination with authors may be warranted to avoid duplicate publication. Potential users are encouraged to consider collaboration with authors when useful and appropriate. Misinterpretation of data may occur if used outside the context of the original analysis. All data are made available in their current state. While significant efforts have been made to ensure data accuracy, complete accuracy cannot be guaranteed. Data may be updated periodically. It is the responsibility of the data user to check for updated versions of the data.</p>
Data from: Integrated species distribution models to account for sampling biases and improve range wide occurrence predictions
<p><strong><span>Aim</span></strong></p> <p><span>Species distribution models (SDMs) that integrate presence-only and presence-absence data offer a promising avenue to improve information on species' geographic distributions. The use of such 'integrated SDMs' on a species range-wide extent has been constrained by the often-limited presence-absence data and by the heterogeneous sampling of the presence-only data. Here, we evaluate integrated SDMs for studying species ranges with a novel expert range map-based evaluation. We build a new understanding about how integrated SDMs address issues of estimation accuracy and data deficiency and thereby offer advantages over traditional SDMs.</span></p> <p><strong><span>Location</span></strong></p> <p><span>South and Central America.</span></p> <p><strong><span>Time period</span></strong></p> <p><span>1979-2017.</span></p> <p><strong><span>Major taxa studied</span></strong></p> <p><span>Hummingbirds.</span></p> <p><strong><span>Methods</span></strong></p> <p><span>We build integrated SDMs by linking two observation models – one for each data type – to the same underlying spatial process.</span> <span>We validate SDMs with two schemes: i) cross-validation with presence-absence data and ii) comparison with respect to the species' whole range as defined with IUCN range maps. We also compare models relative to the estimated response curves and compute the association between the benefit of the data integration and the number of presence records in each data set.</span></p> <p><strong><span>Results</span></strong></p> <p><span>The integrated SDM accounting for the spatially varying sampling intensity of the presence-only data was one of the top-performing models in both model validation schemes. Presence-only data alleviated overly large niche estimates, and data integration was beneficial compared to modelling solely presence-only data for species that had few presence points when predicting the species' whole range. On the community level, integrated models improved the species richness prediction.</span></p> <p><strong><span>Main conclusions</span></strong></p> <p><span>Integrated SDMs combining presence-only and presence-absence data are successfully able to borrow strengths from both data types and offer improved predictions of species' ranges. Integrated SDMs can potentially alleviate the impacts of taxonomically and geographically uneven sampling and to leverage the detailed sampling information in presence-absence data.</span></p>
FIG. 7 in Spatial Distribution and Substrate Preferences of Bryophyte Species in Mangrove Ecosystems of the East Coast of Marajó Island, Brazil
FIG. 7. — Dendrogram of floristic similarity of the bryophyte flora of mangroves on the Northern and Southeastern coast of Brazil.
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.