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128 results for “landscape mapping”
Data from: Ecological genomics meets community-level modeling of biodiversity: mapping the genomic landscape of current and future environmental adaptation
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Species-level tree crown maps improve predictions of tree recruit abundance in a tropical landscape
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Data from: Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast
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Data from: Mapping Tasmania's cultural landscapes: using habitat suitability modelling of archaeological sites as a landscape history tool
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Landscape heterogeneity and novelty drive avian oscillatory flight behaviour during forebrain Wulst-Dependent visual map learning
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Data from: Incorporating interspecific competition into species-distribution mapping by upward scaling of small-scale model projections to the landscape
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Data from: Landscape connectivity for wildlife: development and validation of multi-species linkage maps
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Landscape mosaic map archive for "Forest cover dynamics in the shifting landscape mosaic of the continental United States from 2001 to 2016"
<p>This data archive contains two zipfiles, each containing a raster map of the continental United States showing the landscape mosaic classification at 30-meter resolution as described in the citing publication.</p>
Data from: Mapping the fitness landscape of gene expression uncovers the cause of antagonism and sign epistasis between adaptive mutations
How do adapting populations navigate the tensions between the costs of gene expression and the benefits of gene products to optimize the levels of many genes at once? Here we combined independently-arising beneficial mutations that altered enzyme levels in the central metabolism of Methylobacterium extorquens to uncover the fitness landscape defined by gene expression levels. We found strong antagonism and sign epistasis between these beneficial mutations. Mutations with the largest individual benefit interacted the most antagonistically with other mutations, a trend we also uncovered through analyses of datasets from other model systems. However, these beneficial mutations interacted multiplicatively (i.e., no epistasis) at the level of enzyme expression. By generating a model that predicts fitness from enzyme levels we could explain the observed sign epistasis as a result of overshooting the optimum defined by a balance between enzyme catalysis benefits and fitness costs. Knowledge of the phenotypic landscape also illuminated that, although the fitness peak was phenotypically far from the ancestral state, it was not genetically distant. Single beneficial mutations jumped straight toward the global optimum rather than being constrained to change the expression phenotypes in the correlated fashion expected by the genetic architecture. Given that adaptation in nature often results from optimizing gene expression, these conclusions can be widely applicable to other organisms and selective conditions. Poor interactions between individually beneficial alleles affecting gene expression may thus compromise the benefit of sex during adaptation and promote genetic differentiation.
Data from: Mapping the fitness landscape of gene expression uncovers the cause of antagonism and sign epistasis between adaptive mutations
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Data from: Mapping a systematic ribozyme fitness landscape reveals a frustrated evolutionary network for self-aminoacylating RNA
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Data from: Interpreting the genomic landscape of speciation: a road map for finding barriers to gene flow
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BOREAS Follow-On DSP-04 1994 ERS-1 Level-4 Landscape Freeze/Thaw Maps, Ver. 1.0
The BOREAS DSP-4 team acquired and analyzed imaging radar data from the ESA's ERS-1 over a complete annual cycle at the BOREAS sites in Canada in 1994 to detect shifts in radar backscatter related to varying environmental conditions. Two independent transitions correlating with snow melt and soil thaw onset, and possible canopy thaw were revealed by the data. The results demonstrated that radar provides an ability to observe thaw transitions at the beginning of the growing season, which in turn helps constrain the length of the growing season. The data presented here are gridded maps of landscape freeze/thaw state derived from backscatter change maps. The backscatter change maps were computed from radar backscatter images covering the southern BOREAS sites. The freeze/thaw classifications were determined through application of a change detection threshold based on temporal backscatter change relative to a winter-time frozen reference state. The data are provided as both ASCII text and as binary image (*.gif) format files.
Mapping DNA interaction landscapes in psoriasis susceptibility loci highlights KLF4 as a target gene in 9q31
GEO Series GSE137906. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
Large-scale East-Asian eQTL mapping reveals novel candidate genes for LD mapping and the genomic landscape of transcriptional effects of sequence variants
GEO Series GSE53351. Homo sapiens. 301 samples. Type: Expression profiling by array.
Mapping the regulatory landscape of auditory hair cells from single cell multi-omics data
GEO Series GSE157398. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Mapping the chromatin accessibility landscape of zebrafish embryogenesis at single-cell resolution by SPATAC-seq
GEO Series GSE243256. Danio rerio. 535 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mapping the axolotl chromatin accessibility landscape by UUATAC-seq
GEO Series GSE273356. Ambystoma mexicanum. 39 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mapping protein selectivity landscapes using multi-target selective screening and next-generation sequencing of combinatorial libraries
GEO Series GSE289251. Saccharomyces cerevisiae. 9 samples. Type: Other.
Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation [bulk ATAC-Seq]
GEO Series GSE96771. Homo sapiens. 13 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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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.