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50 results for “generator region”
DNA sequence data generated using non-invasive feather and eggshell samples from the Grenada Dove for two gene regions: Cyt b and ND2
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Data from: Between an ocean and a high place: coastal drainage isolation generates endemic cryptic species in the Cape Kurper Sandelia capensis (Anabantiformes: Anabantidae), Cape Region, South Africa
This study investigated the range-wide phylogenetics and biogeography of the Cape Kurper Sandelia capensis, a primary freshwater fish endemic to, and widespread within, the Cape Floristic Region (CFR) of South Africa. Maximum likelihood, Bayesian phylogenetic, and haplotype network analyses, based on two mitochondrial and two nuclear genes, revealed the existence of three reciprocally monophyletic, deeply divergent and allopatric clades that likely represent cryptic species. The West Coast Clade is largely confined to the Langvlei, Verlorenvlei, Berg, and Diep rivers, the Klein River Clade is endemic to the Klein River, and the South Coast Clade is found everywhere else in the range of S. capensis sensu lato. It was hypothesized that divergences within S. capensis sensu lato likely occurred because of (1) isolation of coastal drainages by persistent drainage divides and/or (2) vicariance of current tributaries by the drowning of their confluences by high sea levels. The current distribution of lineages could be due to historical range expansion and gene flow via (1) river capture or some other mode of transdivide dispersal, and/or (2) dispersal during periods of low sea level via paleoriver confluences of currently isolated coastal rivers. Comparison of BEAST2 estimated divergence times with the timing of climatic, geological, and geomorphological events supported long-term coastal drainage isolation, punctuated by rare transdivide dispersal events and limited paleoriver dispersal, as the best explanation of current phylogeographic and divergence patterns in S. capensis. Hydrological barriers that block upstream passage in palaeotributaries could hypothetically explain why S. capensis failed to disperse through certain palaeoriver confluences. There were several sites where biogeographic patterns have likely been confounded by human translocation of S. capensis. Alien fish predators and water extraction may threaten the three cryptic species more severely than previously realized, due to their smaller population sizes and inhabitation of only a portion of the range previously ascribed to S. capensis sensu lato. The preponderance of cryptic diversity and endemism in the CFR suggests that additional undescribed cryptic species of obligate freshwater fishes may be found in short coastal river systems around the world, especially in regions with a history of geological stability and a narrow continental shelf.
Data from: A maximum likelihood approach to generate hypotheses on the evolution and historical biogeography in the Lower Volga Valley regions (southwest Russia)
The evolution of the diverse flora in the Lower Volga Valley (LVV) (southwest Russia) is complex due to the composite geomorphology and tectonic history of the Caspian Sea and adjacent areas. In the absence of phylogenetic studies and temporal information, we implemented a maximum likelihood (ML) approach and stochastic character mapping reconstruction aiming at recovering historical signals from species occurrence data. A taxon-area matrix of 13 floristic areas and 1018 extant species was constructed and analyzed with RAxML and Mesquite. Additionally, we simulated scenarios with numbers of hypothetical extinct taxa from an unknown palaeoflora that occupied the areas before the dramatic transgression and regression events that have occurred from the Pleistocene to the present day. The flora occurring strictly along the river valley and delta appear to be younger than that of adjacent steppes and desert-like regions, regardless of the chronology of transgression and regression events that led to the geomorphological formation of the LVV. This result is also supported when hypothetical extinct taxa are included in the analyses. The history of each species was inferred by using a stochastic character mapping reconstruction method as implemented in Mesquite. Individual histories appear to be independent from one another and have been shaped by repeated dispersal and extinction events. These reconstructions provide testable hypotheses for more in-depth investigations of their population structure and dynamics.
SUPPLEMENTARY FIGURE 2. Tree generated from the nucleotide sequence for the mitochondrial gene region, igr1–cox1 in A taxonomic revision of Anthothela (Octocorallia: Scleraxonia: Anthothelidae) and related genera, with the addition of new taxa, using morphological and molecular data
SUPPLEMENTARY FIGURE 2. Tree generated from the nucleotide sequence for the mitochondrial gene region, igr1–cox1 of Anthothela-like specimens. Bayesian posterior probabilities shown above branch, ML bootstrap values below branch; HKY+G (Bayesian results split freq = 0.0019, 10000000 gen, burnin=25000). (* indicates nodes present only in Bayesian analysis).
The 4D mesh generated by the 'satori' algorithm, and Voronoi regions of its nodes
<p>The data contained in the archive is the 4D mesh containing 5^4 translation units, that are 2^4 points of tesseract shifted with 'satori' algorithm (total 10 000 nodes), and Voronoi diagram calculated using the qhull package for these points.</p> <p>It is used to demonstrate the shape uniqueness of the 4096 diagram's inner regions. The tessellation of inner regions is a candidate to be a solution of Kelvin problem in 4D version, offering possible minimal interface hyper-area to hyper-volume ratio. The structure posesses PT-symmetry so it might have applications in particle physics. For instance, its 3D layers can be used as CPT-compatible cellular automata for 3D simulations in chiral space.</p> <p>Presumably, the structure can be self-assembling in conditions near to critical point of second order phase transitions.<br> </p>
Data from: Between an ocean and a high place: coastal drainage isolation generates endemic cryptic species in the Cape Kurper Sandelia capensis (Anabantiformes: Anabantidae), Cape Region, South Africa
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Data from: A maximum likelihood approach to generate hypotheses on the evolution and historical biogeography in the Lower Volga Valley regions (southwest Russia)
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Data for: Phylogeography of an endemic California silkmoth genus suggests the importance of an unheralded central California province in generating regional endemic biodiversity
<p>The California Floristic province is a biodiversity hotspot. Understanding the phylogeographic patterns that exist in this diverse region is essential to understanding its evolution and for guiding conservation efforts. <i>Calosaturnia</i> is a charismatic silkmoth genus endemic to large portions of the region with three described species, <i>C. mendocino</i>, <i>C. walterorum</i>, and <i>C. albofasciata</i>. We sampled all three species from across their ranges, sequenced 1463 bp of mitochondrial COI and 1941 bp of nuclear DNA from three genes, and reconstructed phylogenetic relationships and estimated divergence times within the lineages. All three species show pronounced evidence of isolation and, in two cases, secondary reconnection. An unexpected monophyletic mtDNA lineage was found in the Central Coast region, in a region thought to represent an intergrade between <i>C. mendocino</i> and <i>C. walterorum</i>. Our genetic data also significantly revise previous hypotheses as to which species occur in which regions, suggesting that historical ecological changes around four Ma ago isolated some lineages, and a secondary isolation event two Ma ago led to isolation of populations both in the Central Coast region and the southern Sierra Nevada. <span>Our results add to a currently under appreciated pattern suggesting that coastal Central California is not a transition zone between Northern and Southern California Floristic Province faunas but rather its own unique, periodically isolated, biogeographic region. </span>They also suggest cryptic diversity may be present in many other currently unrecognized groups. Additional research should focus on this central California region because many species may be highly restricted in range and in need of conservation attention.</p>
Data for: Phylogeography of an endemic California silkmoth genus suggests the importance of an unheralded central California province in generating regional endemic biodiversity
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NOAA GHRSST Level 2P Atlantic Ocean Regional Skin Sea Surface Temperature v1.0 from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation-4 (MSG-4) satellite
The GHRSST L2P MSG04 SST v1.0 dataset is produced by the US National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) onboard the Meteosat-11 (MSG4) satellite. It provides the full disk SEVIRI imagery covering the Atlantic Ocean region from its position at 0.0°E longitude. The L2P SST is produced at approximately 3 km resolution with a 15 minute duty cycle. On Feb. 2, 2018 the Meteosat-11 (MSG4) took over the Meteosat-10 (MSG3) (MSG03-OSPO-L2P-v1.0) and produced the L2P SST data from Sept 10. 2018 to March 24, 2023. In March 2023, Meteosat-10 and Meteosat-11 were swapped roles and orbital positions. The MSG03 has started to produce the L2P SST data again over the Atlantic Ocean region. Be aware that the granules before Dec. 1, 2022 contain some uncorrected metadata errors. <br><br>The SST measurements from SEVIRI are parameters in study of the weather, atmosphere, climate and ocean environments. Meteosat satellites have been providing crucial data for weather forecasting since 1977. <br><br>This L2P SST product which includes Single Sensor Error Statistics (i.e., uncertainty statistics) follows the GHRSST Data Processing Specification (GDS) version 2.0 format guidelines. Please refer to the user guide for more information.
NOAA GHRSST Level 2P Indian Ocean Regional Skin Sea Surface Temperature v1.0 from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation-1 (MSG-1) satellite
The GHRSST L2P MSG01 SST v1.0 dataset is produced by the US National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) onboard the Meteosat-8 (MSG1) satellite. It provides the full disk SEVIRI imagery covering the Indian Ocean region from its position at 45.5°E longitude. The L2P SST is produced at approximately 3 km resolution with a 15 minute duty cycle. The full data records stretch from Sept. 18, 2018 to June 1, 2022. After June 1, 2022, the Meteosat-9 (MSG2) took over as the prime geostationary satellite for the Indian Ocean region (MSG02-OSPO-L2P-v1.0). Be aware that the granules before Dec. 1, 2022 contain some uncorrected metadata errors. <br><br>The SST measurements from SEVIRI are key parameters in study of the weather, atmosphere, climate and ocean environments. Meteosat satellites have been providing crucial data for weather forecasting since 1977. <br><br>This L2P SST product which includes Single Sensor Error Statistics (i.e., uncertainty statistics) follows the GHRSST Data Processing Specification (GDS) version 2.0 format guidelines. Please refer to the user guide for more information.
NOAA GHRSST Level 2P Indian Ocean Regional Skin Sea Surface Temperature v1.0 from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation-2 (MSG-2) satellite
The GHRSST L2P MSG02 SST v1.0 dataset is produced by the US National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) onboard the Meteosat-9 (MSG2) satellite. It provides the full disk SEVIRI imagery covering the Indian Ocean region from its position at 45.5°E longitude. The L2P SST is produced at approximately 3 km resolution with a 15 minute duty cycle. On June 1, 2022, the Meteosat-9 (MSG2) replaced the Meteosat-8 (MSG1) (MSG01-OSPO-L2P-v1.0) and produced the L2P SST data from June 11. 2022 to the present. This dataset will be updated every 15 minutes as a forward data stream with 3-24 hours nominal latency. Be aware that the granules before Dec. 1, 2022 contain some uncorrected metadata errors.<br><br>The SST measurements from SEVIRI are key parameters in study of the weather, atmosphere, climate and ocean environments. Meteosat satellites have been providing crucial data for weather forecasting since 1977. <br><br>This L2P SST product which includes Single Sensor Error Statistics (i.e., uncertainty statistics) follows the GHRSST Data Processing Specification (GDS) version 2.0 format guidelines. Please refer to the user guide for more information.
GHRSST Level 2P Atlantic Regional Skin Sea Surface Temperature from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-3) satellite (GDS version 2)
The Meteosat Second Generation (MSG-3) satellites are spin stabilized geostationary satellites operated by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to provide accurate weather monitoring data through its primary instrument the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels. Eight of these channels are in the thermal infrared, providing among other information, observations of the temperatures of clouds, land and sea surfaces at approximately 5 km resolution with a 15 minute duty cycle. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset produced by the US National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) is derived from the SEVIRI instrument on the second MSG satellite (also known as Meteosat-9) that was launched on 22 December 2005. Skin sea surface temperature (SST) data are calculated from the infrared channels of SEVIRI at full resolution every 15 minutes. L2P data products with Single Sensor Error Statistics (SSES) are then derived following the GHRSST-PP Data Processing Specification (GDS) version 2.0.
Three-stage continuous culture system with a self-generated anaerobia to study the regionalized metabolism of the human gut microbiota
GEO Series GSE46677. uncultured bacterium; human gut metagenome. 5 samples. Type: Expression profiling by array.
Rapid Generation of Regionally Specified CNS Neurons by Sequential Patterning and Conversion of Human Induced Pluripotent Stem Cells
GEO Series GSE149864. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Characterization of small RNA-generating regions targeted by RNA polymerase V in Arabidopsis
GEO Series GSE36424. Arabidopsis thaliana. 13 samples. Type: Non-coding RNA profiling by high throughput sequencing.
BMP, MEK and WNT modulation with NGN2 expression for rapid generation of hiPSC-derived neurons amenable to regional patterning [bulk RNA-seq]
GEO Series GSE279590. Homo sapiens. 61 samples. Type: Expression profiling by high throughput sequencing.
Flexible chromatin loops in the VH gene region of the Igh locus facilitate the generation of a diverse antibody repertoire
GEO Series GSE43008. Mus musculus. 112 samples. Type: Other; Genome binding/occupancy profiling by high throughput sequencing.
Generation of human region-specific brain organoids with medullary spinal trigeminal nuclei
GEO Series GSE251680. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
BMP, MEK and WNT modulation with NGN2 expression for rapid generation of hiPSC-derived neurons amenable to regional patterning [snRNA-seq]
GEO Series GSE279591. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
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.