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8,729 results for “Ranges”
Interactions data on Iguana iguana and other taxa from its native and invasive range
<p>Biotic interactions data of the Common Green Iguana (<em>Iguana iguana)</em> and other taxa from its native distribution and areas where it has been introduced. This represents an addition to the previously published data set 10.5281/zenodo.6355576</p>
Supplementary Data and Code: Determinants of range sizes pinpoint vulnerability of groundwater species to climate change: a case study on subterranean amphipods from the Dinarides
<p>Supplementary Data and R code for phylogenetic analyses for manuscript entitled <em>Determinants of range sizes pinpoint vulnerability of groundwater species to climate change: a case study on subterranean amphipods from the Dinarides.</em></p> <p><strong>The dataset contains</strong></p> <p><em>beast.tree</em> → data for import into R: maximum credibility phylogeny<br> <em>data_lambert.csv</em> → data for import into R: data on habitat and distribution for 52 <em>Niphargus </em>species<br> <em>morpho.csv</em> → data for import into R: morphometric data (body length) for 52 <em>Niphargus </em>species<br> <em>niphargus_ranges.Rmd</em> → fully reproducible R markdown file<br> <em>niphargus_ranges.html </em>→ html output of Rmd file</p> <p>To be able to run the analysis put the data files into folder <data> and run the Rmd script.</p>
G-Code associated to the trajectories of the brush in ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials
<p>This is appendix for the ApPEARS Deliverable: D5.1 – Database of vector based brush strokes and sample prints that demonstrate the range of printed materials. It contains G-Code Paths associated to the trajectories of the brush.</p>
Images of the data brushes generated for the ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials
<p>These images are appendices of ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials. They show the generated data brushes.</p>
Zigbee sensor range extension experiments with LoRaWAN in Langenlois Austria
<p>This dataset contains log files and a brief overview of a field expedition in Langenlois/Austria, where range extension of Zigbee sensors with LoRaBridge in out-door conditions was successfully verfied.</p>
Data from: Non-breeding sites, loop migration and activity patterns over the annual cycle in the Lesser Grey Shrike Lanius minor from a western edge of its range
<p>Raw data from three tracked individuals. Two were tracked with light geolocators (22UL and an incomplete track of 22UH) and one (16KN) with GDL3-PAM multi-sensor logger. All produced by Swisss Ornithological Insitute.</p>
Non-reproductive dispersal: An important driver of migratory range dynamics and connectivity
<p>Dispersal is the primary ecological process underpinning spatial dynamics in motile species by generating flux in reproductive locations over time. In migratory species, dispersal can also occur around non-breeding ranges, but this form currently lacks a unifying theoretical framework. We present a novel conceptual model for dispersal in migrants that builds upon existing literature, differentiating 'reproductive' dispersal (i.e. changes in breeding locations) from 'non-reproductive' dispersal, which we define as movements resulting in inter-annual or inter-generational changes in non-breeding locations. Crucially, unlike reproductive dispersal where movement outcomes are naturally propagated between generations, the outcomes of non-reproductive dispersal can be non-heritable even if dispersers survive to reproduce. We simulate a non-social migratory population with a genetically-determined migratory programme to model how heritability of this program influences both migratory connectivity and range shift propensity. When exposed to spatially-uncoupled shifts in habitable ranges (i.e. seasonal climate niches shifting at different rates), long-term persistence of simulated populations required changes in migratory programmes to arise through heritable forms of non-reproductive dispersal (e.g. mutations in migratory gene complexes). By contrast, non-heritable dispersal mechanisms (e.g. weather drift, navigation errors) did not drive long-term shifts in non-breeding ranges, despite being a major component of realised dispersal and migratory connectivity patterns. Migratory connectivity metrics conflate these heritable and non-heritable drivers of non-reproductive dispersal and therefore have limited power in predicting spatial population responses to environmental change. Our models provide a framework for improving our understanding of spatial dynamics in migratory populations and highlight the importance of teasing apart the genetic or cultural mechanisms that drive inter-generational migratory variability in order to evaluate and predict range plasticity in migrants.</p>
Alpine range by species input to simulations that reveal climate and legacy effects
<p>Whether the distribution and assembly of plant species are adapted to current climates or legacy effects poses a problem for their conservation during ongoing climate change. The alpine regions of southern and central Europe (SACEU) are compared to those of the western US and Canada (WUSAC) because they differ in their geographies and histories. Individual-based simulation experiments disentangled the role of geography in species adaptations and legacy effects in four combinations: approximations of observed alpine geographies vs. regular lattices with the same number of regions (realistic and null representations), and virtual species with responses to either climatic or simple spatial gradients (adaptations or legacy effects). Additionally, dispersal distances were varied using five Gaussian kernels. Because the similarity of pairs of regional species pools indicated the processes of assembly at extensive spatiotemporal scales and is a measure of beta diversity, this output of the simulations was correlated to observed similarity for Europe and North America. In North America, correlations were highest for simulations with approximated geography and location-adapted species; those in Europe had their highest correlation with the lattice pattern and climate-adapted species. Only SACEU correlations were sensitive to dispersal limitation. The southern and central European alpine areas are more isolated and with more distinct climates to which species are adapted. In the western US and Canada, less isolation and more mixing of species from refugia have caused location to mask climate adaptation. Among continents, the balance of explanatory factors for the assembly of regional species pools will vary with their unique historical biogeographies, with isolation lessening disequilibria.</p>
Fig. 40 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Fig. 40. Scrapter albifumus Eardley, lateral view of female showing characteristic curled-up posture on pin.
Figs 31–34 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Figs 31–34. Scrapter oxyaspis sp. n., terminalia: (31) genitalia (dorsal and ventral views), (32–34) S6–S8. Scale bar = 0.4 mm.
Fig. 1 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Fig. 1. Map of western South Africa showing the Succulent Karoo and Fynbos biomes, and several important localities mentioned in the text. The interdigitation of the two biomes has been greatly simplified in the map.
Figs 27–30 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Figs 27–30. Scrapter glarea sp. n., terminalia: (27) genitalia (dorsal and ventral views), (28–30) S6–S8. Scale bar = 0.4 mm.
Figs 13–16 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Figs 13–16. Scrapter catoxys sp. n., terminalia: (13) genitalia (dorsal and ventral views), (14–16) S6–S8. Scale bar = 0.4 mm.
Figs 23–26 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Figs 23–26. Scrapter eremanthedon sp. n., terminalia: (23) genitalia (dorsal and ventral views), (24–26) S6–S8. Scale bar = 0.4 mm.
Figs 5–8 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Figs 5–8. Scrapter acanthophorus sp. n., terminalia: (5) genitalia (dorsal and ventral views), (6–8) S6–S8. Scale bar = 0.4 mm.
Fig. 3 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Fig. 3. Anterior view of diagrammatic Scrapter head showing (a) raised ocellar triangle and (b) rounded vertex.
Figs 18–21 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Figs 18–21. Scrapter chrysomastes sp. n., terminalia: (18) genitalia (dorsal and ventral views), (19–21) S6–S8. Scale bar = 0.4 mm.
Fig. 2 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Fig. 2. Lateral view of diagrammatic Scrapter head showing bulbous supraclypeal area and anterior face of supraclypeal area (arrowed).
Figs 36–39 in Eight new species of Scrapter (Hymenoptera: Apoidea: Colletidae), with descriptions of S. albifumus and S. amplispinatus females and a major range extension of the genus
Figs 36–39. Scrapter sittybon sp. n., terminilia: (36) genitalia (dorsal and ventral views), (37–39) S6–S8. Scale bar = 0.4 mm.
Optical data for Cu2O, CuO and Cu in the 1 eV to ~ 100 eV energy range.
<p>Our optical data in (J. Phys.: Condensed Matter.24 (2012) 175002; DOI10.1088/0953-8984/24/17/175002) for Cu<sub>2</sub>O, CuO, and Cu in the 1 eV to ~ 100 eV energy range has received a strong and continued interest and we have had requests to share the data in digital form.</p> <p>Here we therefore make the data available for n and k in Fig. 8 of the paper in two Excel files.</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.