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8,729 results for “Ranges”
Fig. 3 in Neoclita pringlei (Scarabaeidae, Cetoniinae), a new relict genus and species from the Drakensberg Range of South Africa
Fig. 3. Neoclita pringlei gen. et sp. nov., paratype, ♀, total length = 16.8 mm. A. Habitus, dorsal view. B. Habitus, ventral view. (South Africa, Eastern Cape Province, Matatiele Nature Reserve, 6 Dec. 2008, R. Perissinotto and L. Clennell leg.)
Fig. 2 in Neoclita pringlei (Scarabaeidae, Cetoniinae), a new relict genus and species from the Drakensberg Range of South Africa
Fig. 2. Neoclita pringlei gen. et sp. nov., holotype, ♂. A. Aedeagus, dorsal view. B. Aedeagus, lateral view. (South Africa, Eastern Cape Province, Matatiele Nature Reserve, 6 Dec. 2008, R. Perissinotto and L. Clennell leg.)
Fig. 1 in Neoclita pringlei (Scarabaeidae, Cetoniinae), a new relict genus and species from the Drakensberg Range of South Africa
Fig. 1. Neoclita pringlei gen. et sp. nov., holotype, ♂, total length = 16.3 mm. A. Habitus, dorsal view. B. Habitus, ventral view. (South Africa, Eastern Cape Province, Matatiele Nature Reserve, 6 Dec. 2008, R. Perissinotto and L. Clennell leg.)
Fig. 6 in Neoclita pringlei (Scarabaeidae, Cetoniinae), a new relict genus and species from the Drakensberg Range of South Africa
Fig. 6. Matatiele Nature Reserve, showing the mountain summit with the typical habitat of Neoclita pringlei gen. et sp. nov. (photo: Lynette Clennell, Matatiele, 6 Dec. 2008).
Fig. 3 in Endemic Families of Madagascar. XIV. a New Restricted Range Species of Pentachlaena H. Perrier (Sarcolaenaceae) from Central Madagascar
Fig. 3. – Geographic distribution of Pentochloeno vestito Andriam., Lowry & G.E. Schatz (stars) and P. lotifolio H. Perrier (circles).
Fig. 2 in Endemic Families of Madagascar. XIV. a New Restricted Range Species of Pentachlaena H. Perrier (Sarcolaenaceae) from Central Madagascar
Fig. 2. – Photographs of Pentochloeno vestito Andriam., Lowry & G.E. Schatz. A. Flowering branch; B. Close-up of flower (note dense indument on lower surface of leaf); C. Adult plant; D. Habitat of type locality, with open wooded grassland and bushland/Tapia woodland and rocky quartzite substrate. [Photos: T. Andriamihajarivo]
Fig. 1 in Endemic Families of Madagascar. XIV. a New Restricted Range Species of Pentachlaena H. Perrier (Sarcolaenaceae) from Central Madagascar
Fig. 1. – Pentochloeno vestito Andriam., Lowry & G.E. Schatz. A. Flowering branch; B. Detail of indument on lower leaf surface; C. Detail of upper leaf surface; D. Flower; E. Detail of androecium; F. Detail of gynoecium; G. Fruit.
Lipschitz quaternions in the range [−10, 10]^4, which do not induce bijective 3D digitized rotations
<p>The file contains Lipschitz quaternions in the range [−10, 10]^4, such that they do not induce bijective 3D digitized rotations. For a list of the Lipschitz quaternions from the range which do induce bijective 3D digitized rotations, please, see : https://doi.org/10.5281/zenodo.814552 </p> <p>It is a comma-separated values file format such that each line contains a different quaternion. The quaternions were certified by the algorithm described in:</p> <p>Pluta K., Romon P., Kenmochi Y., Passat N. (2016) Bijectivity Certification of 3D Digitized Rotations. In: Bac A., Mari JL. (eds) Computational Topology in Image Context. CTIC 2016. Lecture Notes in Computer Science, vol 9667. Springer, pp 30-41, doi:10.1007/978-3-319-39441-1_4</p>
Satellite Laser Ranging in 5x5 Spherical Harmonics
<p>This is a variant of the weekly, 5x5 SLR product created at the University of Texas’s Center for Space Research (CSR) which is released alongside the GRACE series:</p> <p>ftp://podaac.jpl.nasa.gov/allData/tellus/preview/L2/deg_5/CSR.Weekly.5x5.Gravity_Harmonics.txt. </p> <p>The version here is averaged monthly, rather than weekly, to make it more directly comparable to the monthly GRACE data. It contains an estimate of C<sub>61</sub>/S<sub>61</sub> (but no other degree-6 harmonics) to avoid skewing the C<sub>21</sub> harmonic due to a lack of sufficient degrees of freedom during the creation of the SLR gravity product (Cheng and Ries, 2017). From January - November 1993, only four satellites were used in its creation (Starlette, Ajisai, and Lageos 1 and 2). After that point, Stella was added as well. Data exists through mid-2017.<br> <br> The layout of the files contains a header section followed by one line containing the date for the following lines, and then 22 lines of spherical harmonic data. The time lines are formatted as: IARC, MAXDEG, NP, IYEAR, IM, XMJD:<br> IARC: the arc number (ie: month number) <br> MAXDEG: spherical harmonic maximum degree/order of the field <br> NP: number of coefficient pairs (Cnm & Snm)<br> IYEAR: year<br> IM: month<br> XMJD: epoch of the arc at the first day in modified Julian date</p> <p>The data lines are formatted as: N, M, Cnm, Snm, Cnm-sigma, Snm-sigma:<br> N: spherical harmonic degree <br> M: spherical harmonic order<br> Cnm: C coefficient <br> Snm: S coefficient<br> Cnm-sig: The formal errors of the C coefficient<br> Snm-sig: The formal errors of the S coefficient<br> </p>
Tropical range extending herbivorous fishes gain foraging benefits by shoaling with native temperate species
<p>Data1.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal. </p> <p>Data2.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our study. We explored the relationship between bite rates per fish min-1 and the species, shoal type and shoal size. </p> <p>Data3.xlslx contains the data to analyze the shoaling configurations based on species origin. </p> <p>Minguito-Frutos_etal.R contains the R reproducible code to run all the analyses carried out in this study. </p> <p>Species_coocurrence_based_associations.R contains the reproducible R code to run the analyses to explore the strength of mixed-species associations between herbivorous fish. </p> <p>-------------------------------------------------------------------------------------------------------------------------------------------</p> <p>Data1.csv, Data2.xlsx, Data3.xlslx, and Minguito-Frutos_etal.R contains the data and code used before submitting this work. </p> <p>-------------------------------------------------------------------------------------------------------------------------------------------<br><br>Minguito_Frutos_etal2025_SR_Rscript, Data_Rev_SR, and Data2_Rev_SR contain the data and code derived from the last submission to Scientific Reports. In this latest version, we modified our analyses of fish foraging activity that now evaluate: (i) the frequency and size of mixed-species shoals based on the origin of the species examined (using data in Data2_Rev_SR), (ii) the strength of pair-wise associations between native and range-expanding species (using Species_coocurrence_based_associations.R), and (iii) how the foraging activity of native and range-extending fishes was shaped by the composition and size of the shoals (using data in Data_Rev_SR). </p>
FIGURE 2 in New Paleogene Notohippids and Leontiniids (Toxodontia; Notoungulata; Mammalia) from the Early Oligocene Tinguiririca Fauna of the Andean Main Range, Central Chile
FIGURE 2. Left and right mandibles of holotype of Eomorphippus neilopdykei, SGOPV 2855, preserving Ri1–3, p2–m3 (m3 inadvertently trimmed during preparation), Li1-3, p2–m1, in A, occlusal and B, ventral views. Note hypsodonty of incisors.
FIGURE 1 in New Paleogene Notohippids and Leontiniids (Toxodontia; Notoungulata; Mammalia) from the Early Oligocene Tinguiririca Fauna of the Andean Main Range, Central Chile
FIGURE 1. Photographs of cast, and line drawings of holotype of Eomorphippus bondi, SGOPV 3046, a partial skull bearing left I1–3, C, P3–M3 and right I1–3, P3, M1–3, in A, left lateral, B, C, occlusal, and D, anterior views (opposite page). Horizontal ridge in anterior view is a seam from the two-piece mold. Note hypsodonty of the incisors and narrowness of molars. Paratype of Eomorphippus bondi, SGOPV 2891, showing partial left lower dentition including i1–3 and p2–m3, in E, occlusal and F, labial views (above; photograph of cast).
FIGURE 5 in New Paleogene Notohippids and Leontiniids (Toxodontia; Notoungulata; Mammalia) from the Early Oligocene Tinguiririca Fauna of the Andean Main Range, Central Chile
FIGURE 5. Holotype of Termashippus flacoensis SGOPV 2987 (cast), right maxillary fragment bearing P2–M3 in A, labial, B, occlusal, and C, lingual views. The specimen was inadvertently sliced by a rock saw prior to preparation; the ~2 mm wide gap in the specimen is indicated by dimples (A) and thin line (B, C).
FIGURE 8 in New Paleogene Notohippids and Leontiniids (Toxodontia; Notoungulata; Mammalia) from the Early Oligocene Tinguiririca Fauna of the Andean Main Range, Central Chile
FIGURE 8. Partial left mandibular fragment of Termashippus flacoi SGOPV 2996 (cast), bearing probable m1–2 in A, occlusal and B, lingual views.
FIGURE 3. SGOPV 2991 in New Paleogene Notohippids and Leontiniids (Toxodontia; Notoungulata; Mammalia) from the Early Oligocene Tinguiririca Fauna of the Andean Main Range, Central Chile
FIGURE 3. SGOPV 2991, fragmentary right maxilla of Rosendo pascuali preserving P2 through the anterior half of M1 and slivers of an erupting M3 in A, labial and D, occlusal views. SGOPV 3096, isolated left m3 (photographically reversed) in B, labial and F, occlusal views. AMNH 29474, holotype of Rosendo pascuali, right mandible with i3–m3 in C, labial and E, occlusal views (from Simpson, 1967). SGOPV 3051, fragmentary left mandible of Rosendo pascuali preserving p3–m1 plus erupting m2 in G, labial, H, lingual, and I, occlusal views (opposite page).
FIGURE 7 in New Paleogene Notohippids and Leontiniids (Toxodontia; Notoungulata; Mammalia) from the Early Oligocene Tinguiririca Fauna of the Andean Main Range, Central Chile
FIGURE 7. Three little to unworn right upper cheekteeth tentatively referred to Termashippus flacoensis SGOPV 3008 (cast), probably dP2–4, in A, labial, B, occlusal, and C, lingual views.
Рис. 5–10. Pterostichus (Petrophilus) magoides, этикетки и генитаΛии самца. 5 – этикетки гоΛотипа; 6 – этикетки паратипа; 7 – энΔофаΛΛус, виΔ сΛева (экземпΛяр из Рахмановского Λесничества, Казахстан); 8–9 – меΔиаΛьная ΔоΛя эΔеагуса (экземпΛяр с Курчумского хребта, Казахстан): 8 – виΔ сΛева, 9 – виΔ сверху; 10 – правая парамера, виΔ сбоку (этот же экземпΛяр). Figs 5–10. Pterostichus (Petrophilus) magoides, labels and male genitalia. 5 – labels of the holotype; 6 – labels of the paratype; 7 – endophallus, left view (specimen from the Rakhmanovskoe Forestry, Kazakhstan); 8–9 – median lobe of aedeagus (specimen from the Kurchum Mountain Range, Kazakhstan): 8 – left view, 9 – dorsal view; 10 – right paramere, lateral view (the same specimen). in To the systematic position of Pterostichus (Petrophilus) magoides (Straneo, 1937) (Coleoptera: Carabidae) from the Altai Mountains
Рис. 5–10. Pterostichus (Petrophilus) magoides, этикетки и генитаΛии самца. 5 – этикетки гоΛотипа; 6 – этикетки паратипа; 7 – энΔофаΛΛус, виΔ сΛева (экземпΛяр из Рахмановского Λесничества, Казахстан); 8–9 – меΔиаΛьная ΔоΛя эΔеагуса (экземпΛяр с Курчумского хребта, Казахстан): 8 – виΔ сΛева, 9 – виΔ сверху; 10 – правая парамера, виΔ сбоку (этот же экземпΛяр). Figs 5–10. Pterostichus (Petrophilus) magoides, labels and male genitalia. 5 – labels of the holotype; 6 – labels of the paratype; 7 – endophallus, left view (specimen from the Rakhmanovskoe Forestry, Kazakhstan); 8–9 – median lobe of aedeagus (specimen from the Kurchum Mountain Range, Kazakhstan): 8 – left view, 9 – dorsal view; 10 – right paramere, lateral view (the same specimen).
Data from: Adaptation of perennial flowering phenology across the European range of Arabis alpina
<p>Perennial <em>Arabis alpina</em> has a wide geographic distribution and is adapted to local environments. However, the traits that underlie adaptation are unknown. Flowering phenology is an adaptive trait in other species, but its geographic variation has not been systematically studied in herbaceous perennials.</p> <p>Accessions of <em>A. alpina</em> were collected across the European range. Their flowering behavior was tested in controlled conditions, in experimental common-garden plantations at native sites and <em>in-situ</em> in natural populations. Also, genetic diversity within and among populations was examined.</p> <p>French Alpine and Scandinavian accessions varied in timing and duration of flowering. By contrast, in controlled conditions and <em>in-situ</em>, all Spanish accessions were obligate vernalization-requiring with a short duration of flowering. Nevertheless, Spanish populations were as genetically diverse as French Alpine populations and more so than Scandinavian populations. Furthermore, <em>perpetual flowering 1</em>, a mutant that shows no vernalization requirement and a long duration of flowering, showed higher mortality and poorer performance than local accessions at Spanish experimental sites.</p> <p>We propose that in this perennial species, the vernalization requirement and short duration of flowering are under selection in Spain as a strategy to survive exposure to longer, warmer growing seasons.</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>
The role of tropical rainfall in driving range dynamics for a long-distance migratory bird
<p>Predicting how the range dynamics of migratory species will respond to climate change requires a mechanistic understanding of the factors that operate across the annual cycle to control the distribution and abundance of a species. Here we use multiple lines of evidence to reveal that environmental conditions during the nonbreeding season influence range dynamics across the lifecycle of a migratory songbird, the American redstart (<em>Setophaga ruticilla</em>). Using long-term data from the nonbreeding grounds and breeding origin estimated from stable hydrogen isotopes in tail feathers, we found that the relationship between nonbreeding season survival and migration distance is mediated by precipitation, but only during dry years. A long-term drying trend throughout the Caribbean is associated with higher mortality for individuals from the northern portion of the species' breeding range, resulting in an approximate 500 km southward shift in breeding origins of this Jamaican population over the past 30 years. This shift in connectivity is mirrored by changes in the redstarts breeding distribution of abundance. These results demonstrate that the climatic effects on demographic processes originating during the tropical nonbreeding season is actively shaping range dynamics in a migratory bird.</p>
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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.