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12,346
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12,346 results for “derivatives”
Single-cell RNA sequencing of human salivary gland derived mesenchymal stromal cells under cytokine treatment conditions
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Bulk RNA sequencing of human mesenchymal stromal cells derived from labial salivary glands, bone marrow, and adipose
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Strain localization in sandstone-derived fault gouges under conditions relevant to earthquake nucleation
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Single-cell RNA sequencing of sclerotome-derived fibroblasts in zebrafish
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Paternal effects in a wild-type zebrafish implicate a role of sperm-derived small RNAs
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Data from: Enhanced climate tolerance for trees derived from microbial communities
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SNPs derived from a common garden experiment across the biogeographic range of <em>Kelletia kelletii</em>
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Data from: The smallest known Devonian tetrapod shows unexpectedly derived features, Part 1 of 2
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Data from: In vitro to in vivo extrapolation from three-dimensional hiPSC-derived cardiac microtissues and physiologically based pharmacokinetic modeling to inform next-generation arrythmia risk assessment
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Functional beta diversity of New Zealand fishes: characterising morphological turnover along depth and latitude gradients, with derivation of functional bioregions
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Structure of alpha-synuclein fibrils derived from human Lewy body dementia tissue
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Data from: The smallest known Devonian tetrapod shows unexpectedly derived features, Part 2 of 2
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Computationally-informed point of departure evaluation for proarrhythmic cardiotoxicity assessment using 3D engineered cardiac microtissues from human iPSC-derived cardiomyocytes
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Olfactory learning in Pieris brassicae butterflies is dependent on the intensity of a plant-derived oviposition cue
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Downscaled climate grids of California at 90m for a variety of bioclimatic variables from 1971-2000, derived from historical climate grids
This dataset is comprised of 90 Geotiff images of selected bioclimatic variables for the state of California (extended past state lines to river basin boundaries). Originally created to model plant species distributions in California (Franklin et al. 2013. Modeling plant species distributions under future climates: how fine-scale do climate projections need to be? Global Change Biology 19: 473-483).
Environmental fate of combustion-derived organic compounds in arid, urban soils in central Arizona-Phoenix
In this research we wanted to ask, what is the magnitude, distribution, and fate of non-point carbon pollution in a low-density, urban area? To answer this question, the goal of the project is to: 1) characterize and quantify combustion-derived carbon compounds in soils near roadways across the Phoenix valley, 2) explore the dynamic fate of Polycyclic Aromatic Hydrocarbons (PAHs) in soils, and 3) assess the importance of microbial community structure in PAH storage and dynamics. We collected 63 soil samples near highways across the Phoenix valley to characterize and quantify PAH compounds using extraction methods with Ultrasound Sonication and analyses by Gas Chromatography-Mass Spectrometry (GC-MS). Additionally, we measured a suite of soil properties and processes to explore the role of abiotic and biotic factors on the retention of PAHs in urban soil. PAH concentrations in arid Phoenix soils ranged from 52 ug/kg dry soil to 8,296 ug/kg (mean 926 ug/kg), nearly an order of magnitude lower on average than expected based on data from other cities (Figure 1, Table 1). The project findings show the extent of these pollutants, an EPA-priority group of hazardous compounds, in urban soils. Although the most likely sources for PAH content in roadway soils are vehicle emissions, they were not correlated with traffic density (r2 = 0.024; p = 0.26) or highway age (r2 = 0.044; p = 0.13) across all sites. However, PAH concentrations were significantly correlated to soil organic matter (r2 = 0.36; p less than 0.001). These results suggest that PAH concentrations in roadway soils of desert cities may be controlled by factors associated with carbon retention, such as soil organic matter, rather than source or rate of deposition
Bioclimatic predictors in Maricopa County, Arizona derived from remotely sensed, daily weather parameters (NASA DAYMET): 2000-2016
overview There is considerable interest in using climatic variables and bioclimatic predictors not only in ecological species distribution models but in interdisciplinary studies of urban environments. We compiled an downloadable geodatabase of monthly environmental variables on a 1km x 1km spatial resolution including raw climate variables such as precipitation, minimum and maximum air temperature, and water vapor pressure obtained from NASA Earth Science Data and Information System Daily Surface Weather and Climatological Summaries (DAYMET) for Maricopa County. We then used the continuous environmental data from DAYMET to create 19 different annual bioclimatic predictors for Maricopa County (as defined by Nix, 1986 and Hijmans, 2004). Our study is the first to utilize NASA DAYMET model data to generate bioclimatic predictors. Bioclimatic predictors are important variables to use in model development to study nuances of seasonality especially when compiling models of species and vegetation. This geodatabase of environmental variables provides accessible vital data for the entire Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) study area that can be used in an array of interdisciplinary studies. related data set Processed DAYMET data from which the data in this data set were derived are accessible from: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-cap&identifier=662 literature cited Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. and Jarvis, A., 2004. The WorldClim interpolated global terrestrial climate surfaces. Version 1.3. Nix, Henry A., 1986, A biogeographic analysis of Australian elapid snakes, in Longmore, Richard, ed., Atlas of elapid snakes of Australia: Canberra, Australian Flora and Fauna Series 7, Australian Government Publishing Service, p. 4‒15.
West Coast satellite-derived 4-km productivity
Satellite-derived dataset of net primary productivity (NPP, mg C m-2 day-1) and export flux (EF, mg C m-2 day-1) for the West Coast of North America on a nominal 4-km grid. Daily NPP is calculated using a modified version of the well-known Behrenfeld-Falkowski (1998) VGPM model (described in Kahru et al. 2009 and Kahru et al. 2020). EF is calculated according to the Stukel relationship in Kahru et al. 2020. The datasets are given on a grid of 320 (width) x 555 (height) with latitudes from 30 to 50 N and longitudes from 130 to 115 W with approximately 4 km step.
PIE LTER, Year 2013-2018, remote sensing derived sediment concentration maps, movies, transect averaged sediment concentation, water level, dh/dt, wind direction and speed, river discharges at Plum Island Sound, Massachusetts.
PIE LTER, Year 2013-2018, remote sensing (Landsat8 OLI sensors and Sentinel-2A/2B) derived sediment concentration maps, transect averaged sediment concentation, water level, dh/dt, wind direction and speed, river discharges for Plum Island Sound estuary, Massachusetts.
Hobo Datalogger-Derived Precipitation Data from the Sevilleta National Wildlife Refuge, New Mexico (2008-present)
Precipitation is recognized as the most spatially variable abiotic variable in arid ecosystems such as the Sevilleta National Wildlife Refuge (NWR). Water is also usually the limiting factor in such environments so the accurate measurement of precipitation in both space and time is vital to understanding ecosystem dynamics. In 2008, the acquisition of a number of tipping-bucket rain gauges with Hobo dataloggers permitted the deployment of gauges into an increased number of locations on the Sevilleta NWR. Most dataloggers were installed in the greater Five Points area and primarily placed around the site of the 2003 burn study. A few additional dataloggers were installed throughout the entire Sevilleta NWR to expand overall coverage.
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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.