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77 results for “landform”
Regolith-landform map of the Tanami Region, Australia
<p>Figure 10 in "Geochemical pathways defined by predictive regolith-landform models using TanDEM-X data in the Tanami Region, Australia". Mapped and modelled for reproduction at 1:25,000-scale.</p>
Code for: Landform and lithospheric development contribute the assembly of mountain floras in China
<p>Although it is well documented that mountains tend to exhibit high biodiversity, how geological processes affect the assemblage of montane floras is a matter of ongoing research. Here, we explore landform-specific differences among montane floras based on a dataset comprising 17,576 angiosperm species representing 140 Chinese mountain floras, which we define as the collection of all angiosperm species growing on a specific mountain. Our results show that igneous bedrock (granitic and karst-granitic landforms) is correlated with higher species richness and phylogenetic overdispersion, while the opposite is true for sedimentary bedrock (karst, Danxia, and desert landforms), which is correlated with phylogenetic clustering. Furthermore, we show that landform type was the primary determinant of the assembly of evolutionarily older species within floras, while climate was a greater determinant for younger species. Our study indicates that landform type not only affects montane species richness, but also contributes to the composition of montane floras. To explain the assembly and differentiation of mountain floras, we propose the 'floristic geo-lithology hypothesis', which highlights the role of bedrock and landform processes in montane floristic assembly and provides insights for future research on speciation, migration, and biodiversity in montane regions.</p>
Circular genetic structure of the Abies nephrolepis species complex shaped by the circular landform of Northeast Asia
<p>Aim:</p> <p>Pinaceae have been noted for their tendency towards reticulation as a result of interspecific hybridization. Here, we demonstrated the phylogeographic dynamics of the native Northeast Asian sub-alpine conifer, <em>Abies nephrolepis</em> species complex (ANSC), evolving in circular overlaps along the Northeast Asian landform, which functions as a corridor with the sea, thus acting as a geographic barrier.</p> <p>Location: Northeast Asia: the Korean Peninsula, Japanese Archipelago, Russian Far East, and northeastern China</p> <p>Taxon:<em> Abies nephrolepis</em> species complex (Family Pinaceae, Genus <em>Abies</em>, Section <em>Balsamea</em>, <em>Abies nephrolepis, A. koreana, A. veitchii</em>, and<em> A. sachalinensis</em>)</p> <p>Methods: A total of 728 individuals from 38 ANSC populations were analysed using multiplexed inter-simple sequence repeat genotyping by sequencing to capture variations in bi-parental nuclear genomes. Eight mitochondrial regions and eight chloroplast regions of each individual were sequenced using the MiSeq platform and Sanger sequencing. Species distribution models were generated.</p> <p>Results: Bayesian clustering with 507 nuclear single nucleotide polymorphisms and the discrepancy between cytoplasmic and nuclear genome lineages implied contemporary and ancient connections between neighbouring species in the form of circular overlap. This genetic connectivity was supported by principal component analysis. Strong correlations between genetic distance and geographic distance were observed, suggesting that gene flow occurs through a continuous chain around the sea. We also found that gene flow direction and intensity changed over time, with support from paleodistribution modelling.</p> <p>Conclusion: Past hybridization events were captured in cytoplasmic genomes, generating heterogeneity across maternal ancestries. This intensive phylogeographic study demonstrates speciation with incomplete reproductive isolation (continuous gene flow) among neighbouring species with an alteration of the direction and intensity of gene flow due to climate change. The divergence of ANSC due to repeated isolation and reconnection caused by heterogenous physiological environments and climate fluctuation provides a model to solve evolutionary scenarios for reticulate evolution in Pinaceae and other plants.</p>
Distribution of water- and ice-related landforms in Utopia Planitia, Mars
<p>This catalog contains a shapefile of the distribution of water- and ice-related landforms in Utopia Planitia.</p> <p>This work is a joint effort of an International Team sponsored by the International Space Science Institute (ISSI).</p>
LPL30-A multilevel dataset of landform mapping and geomorphologic descriptors for the Loess Plateau of China
<p>LPL30</p>
Code for: Landform and lithospheric development contribute the assembly of mountain floras in China
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Circular genetic structure of the Abies nephrolepis species complex shaped by the circular landform of Northeast Asia
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Data from: Two new species of Parnassia (Celastraceae) from karst cave and Danxia landform in Southwest China
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Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Massanutten Mountain GeoTIFF
<p>An elevation model of Massanutten Mountain, Virginia, USA</p> <p>Landform features: folded ridges, hogback, water gap, meander</p> <p>Resolution: 10 meter, 3,900 x 3,900 height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills GeoTIFF
<p>An elevation model of Sandhills, Nebraska, USA</p> <p>Landform features: stabilized dune field</p> <p>Resolution: 10 meter, 4,500 x 4,500 height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Jackson Hole (riverbed) GeoTIFF
<p>An elevation model of Jackson Hole, Wyoming, USA</p> <p>Landform features: braided river, fluvial terrace</p> <p>Resolution: 2 meter, 4,200 x 4,200height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills ASCII
<p>An elevation model of Sandhills, Nebraska, USA</p> <p>Landform features: stabilized dune field</p> <p>Resolution: 10 meter, 4,500 x 4,500 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Crater Lake ASCII
<p>An elevation model of Crater Lake, Oregon, USA</p> <p>Landform features: caldera, cinder cone, lava flow</p> <p>Resolution: 3.33 meter, 5,200 x 5,200 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Jackson Hole (riverbed) ASCII
<p>An elevation model of Jackson Hole, Wyoming, USA</p> <p>Landform features: braided river, fluvial terrace</p> <p>Resolution: 2 meter, 4,200 x 4,200 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes ASCII
<p>An elevation model of Great Sand Dunes, Colorado, USA</p> <p>Landform features: active dune field, sand sheet, sabkha</p> <p>Resolution: 3.3 meter, 5,300 x 5,300 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Mask R-CNN for characterization of yardang landforms
<p>This includes the source code and datasets for the automated characterization of yardang landforms using Mask R-CNN. Codes and datasets used in the manuscript will be submitted to the Journal of Geophysical Research: Earth Surface are included. The readability of codes and other documents will be updated soon.</p>
Biogeographic divides in East Asia delineated by the three-step landforms of China and the East China Sea: insights from phylogeographical breaks of Kerria japonica
<p><span><b>Aim: </b>East Asia exhibits complex geomorphological and climatic characteristics. The aim </span>of this study is to test whether the biogeographic divides present along the so-called three-step landforms of China and the East China Sea (ECS), and provide insight into the evolution the East Asian Flora (EAF) with respect to Hengduan Mountains, Central China and East China.</p> <p><span><span><b>Location:</b> East Asia</span></span></p> <p><span><span><b>Taxon: </b><i>Kerria japonica</i>, a deciduous shrub distributed in subtropical mixed evergreen and deciduous broadleaved forests of East Asia.</span></span></p> <p><span><b>Methods: </b>Three chloroplast DNA (cpDNA) regions and 15 nuclear microsatellite (nSSR) loci were sequenced/genotyped in 576/450 individuals. We performed phylogeographical analyses to assess genetic structure, historical gene flow and demographic history. Climate factors were examined to identify their effects on the phylogeographical breaks. Time</span>-calibrated phylogenetic trees and ancestral range reconstruction<span> were used to infer biogeographic history. Potential habitats at present and in the past (LIG, LGM) were identified using ecological niche modelling (ENM).</span></p> <p><span><b>Results: </b>Distinct phylogeographical breaks were found along the ECS and the edges of the three-step landforms of China. Low historical gene flow and significant climatic differences were detected in each pair of adjacent regions. Compared with the quite stable distribution range on the Chinese mainland, Japanese populations had experienced obvious northward expansion after the LGM in response to Quaternary climate change.</span></p> <p><span><b>Main conclusions: </b><i>K. japonica</i> has a complex biogeographic history, with a Mid-Miocene origin in North America and subsequent migration into East Asia via the Bering land bridge. The onset of intra-specific diversification was probably associated with the Asian monsoon intensifications, while the CJK land bridge facilitated the formation of the Japan lineage (6.78 Ma). The spatiotemporal population differentiation in Chinese mainland demonstrates the significant role of biogeographic divides delineated by three-step landforms of China; and provides clues to help understand the floristic regionalization and evolutionary history of plant diversity in East Asia, especially with respect to the Hengduan Mountains, Central China and East China.</span></p>
Data from: Coastal landforms and accumulation of mangrove peat increase carbon sequestration and storage
Given their relatively small area, mangroves and their organic sediments are of disproportionate importance to global carbon sequestration and carbon storage. Peat deposition and preservation allows some mangroves to accrete vertically and keep pace with sea-level rise by growing on their own root remains. In this study we show that mangroves in desert inlets in the coasts of the Baja California have been accumulating root peat for nearly 2,000 y and harbor a belowground carbon content of 900–34,00 Mg C/ha, with an average value of 1,130 (± 128) Mg C/ha, and a belowground carbon accumulation similar to that found under some of the tallest tropical mangroves in the Mexican Pacific coast. The depth–age curve for the mangrove sediments of Baja California indicates that sea level in the peninsula has been rising at a mean rate of 0.70 mm/y (± 0.07) during the last 17 centuries, a value similar to the rates of sea-level rise estimated for the Caribbean during a comparable period. By accreting on their own accumulated peat, these desert mangroves store large amounts of carbon in their sediments. We estimate that mangroves and halophyte scrubs in Mexico's arid northwest, with less than 1% of the terrestrial area, store in their belowground sediments around 28% of the total belowground carbon pool of the whole region.
FIGURE 13 in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia
FIGURE 13. Map of the Pilbara region in Western Australia, where Nocticola clades and lineages were collected.
FIGURE 11A–F. Nocticola currani n in Speciation in fractured rock landforms: towards understanding the diversity of subterranean cockroaches (Dictyoptera: Nocticolidae: Nocticola) in Western Australia
FIGURE 11A–F. Nocticola currani n. sp.A–F, paratype (WAM ML0671). A, whole genitalia, dorsal view; B, R1, dorsal view; C, L2d, dorsal view; D, L3d, dorsal view; E, p, dorsal view; F, vp, dorsal view. Scale 0.2 mm.
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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.