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265
datasets available to search
ShareScore release 0.7.1
Dataset results
265 results for “sequestration”
RNA sequestration in P-bodies sustains myeloid leukemia [small RNA-seq]
GEO Series GSE224851. Homo sapiens. 16 samples. Type: Non-coding RNA profiling by high throughput sequencing.
A broad RNA virus survey reveals dependence on host miRNAs and specific sequestration modulating the cellular transcriptome
GEO Series GSE76967. Homo sapiens; Bos taurus. 103 samples. Type: Expression profiling by high throughput sequencing; Other; Third-party reanalysis.
RNA sequestration in P-bodies sustains myeloid leukemia [ATAC-seq]
GEO Series GSE224746. Homo sapiens. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Regulated sulfur sequestration promotes multicellularity during nutrient limitation (scRNA-Seq)
GEO Series GSE164010. Dictyostelium discoideum. 4 samples. Type: Expression profiling by high throughput sequencing.
Sequestration of a two-component response regulator by a riboswitch regulated non-coding RNA
GEO Series GSE60363. Listeria monocytogenes EGD-e. 8 samples. Type: Expression profiling by high throughput sequencing.
Sequestration of ribosomal subunits as inactive 80S by targeting eIF6 limits mitotic exit and cancer progression
GEO Series GSE272515. Homo sapiens. 5 samples. Type: Other.
Studies in a murine B16 melanoma model show that persistent antigen at vaccination sites induces CD8+ T cell sequestration, dysfunction and deletion
GEO Series GSE43929. Mus musculus. 4 samples. Type: Expression profiling by array.
Circadian Clock-Controlled Translation of Specific mRNAs in Neurospora crassa Requires Rhythmic eIF2α Activity and P-body Sequestration
GEO Series GSE181566. Neurospora crassa. 160 samples. Type: Expression profiling by high throughput sequencing; Other.
Selective RNA sequestration in biomolecular condensates directs cell fate transitions
GEO Series GSE302363. Homo sapiens; Mus musculus. 40 samples. Type: Expression profiling by high throughput sequencing.
Regulated sulfur sequestration promotes multicellularity during nutrient limitation
GEO Series GSE164011. Dictyostelium discoideum. 46 samples. Type: Expression profiling by high throughput sequencing.
RNA sequestration regulates cell fate (Mouse)
GEO Series GSE245942. Mus musculus. 36 samples. Type: Expression profiling by high throughput sequencing.
Sequestration of ribosomal subunits as inactive 80S by targeting eIF6 limits mitotic exit and cancer progression
GEO Series GSE272516. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Selective RNA sequestration in biomolecular condensates directs cell fate transitions [smallRNAseq]
GEO Series GSE304267. Mus musculus. 48 samples. Type: Non-coding RNA profiling by high throughput sequencing.
MBNL Sequestration by Toxic RNAs and RNA Mis-Processing in the Myotonic Dystrophy Brain
GEO Series GSE68890. Homo sapiens; Mus musculus. 39 samples. Type: Expression profiling by high throughput sequencing; Other.
Circadian Clock-Controlled Translation of Specific mRNAs in Neurospora crassa Requires Rhythmic eIF2α Activity and P-body Sequestration [Ribo-seq]
GEO Series GSE181565. Neurospora crassa. 80 samples. Type: Other.
Data from: A unified framework for quantifying land carbon sequestration
<p>Land ecosystems offer an effective nature-based solution to climate change mitigation by absorbing approximately 30% of anthropically emitted carbon. This absorption is primarily based on constraints<span> from atmospheric and oceanic measurements while quantification from direct studies of the land carbon cycle itself displays great uncertainty. The latter hinders prediction of the future fate of the land carbon sink. </span>Here, we show a unified framework for quantifying land carbon sequestration. The framework unifies all carbon cycle processes under a theory of dynamic disequilibrium and all models with one matrix equation to represent a nonautonomous compartmental system. While carbon input and residence (transit) time have been used to quantify carbon storage capacity at dynamic equilibrium, we introduce the third quantity, carbon storage potential that integrates fluxes and timescales, to define dynamic disequilibrium of land carbon cycle under global change. The carbon storage potential is presently not directly measurable. Its estimation requires the integration of multiple data sets with models. We urge the research community to convert the existing models and develop new models in the matrix form before we can fully identify sources of uncertainty in model predictions, evaluate relative values of various data sets, and improve the accuracy of quantification of land carbon sequestration.</p>
Data from: Top-down control of carbon sequestration: grazing affects microbial structure and function in salt marsh soils
Tidal wetlands have been increasingly recognized as long-term carbon sinks in recent years. Work on carbon sequestration and decomposition processes in tidal wetlands focused so far mainly on effects of global-change factors such as sea-level rise and increasing temperatures. However, little is known about effects of land use, such as livestock grazing, on organic matter decomposition and ultimately carbon sequestration. The present work aims at understanding the mechanisms by which large herbivores can affect organic matter decomposition in tidal wetlands. This was achieved by studying both direct animal-microbe interactions and indirect animal-plant-microbe interactions in grazed and ungrazed areas of two long-term experimental field sites at the German North Sea coast. We assessed bacterial and fungal gene abundance using quantitative PCR, as well as the activity of microbial exo-enzymes by conducting fluorometric assays. We demonstrate that grazing can have a profound impact on the microbial community structure of tidal wetland soils, by consistently increasing the fungi-to-bacteria ratio by 38-42%, and therefore potentially exerts important control over carbon turnover and sequestration. The observed shift in the microbial community was primarily driven by organic matter source, with higher contributions of recalcitrant autochthonous (terrestrial) vs. easily degradable allochthonous (marine) sources in grazed areas favoring relative fungal abundance. We propose a novel and indirect form of animal-plant-microbe interaction: top-down control of aboveground vegetation structure determines the capacity of allochthonous organic matter trapping during flooding and thus the structure of the microbial community. Furthermore, our data provide the first evidence that grazing slows down microbial exo-enzyme activity and thus decomposition through changes in soil redox chemistry. Activities of enzymes involved in C cycling were reduced by 28-40%, while activities of enzymes involved in N cycling were not consistently affected by grazing. It remains unclear if this is a trampling-driven direct grazing effect, as hypothesized in earlier studies, or if the effect on redox chemistry is plant mediated and thus indirect. This study improves our process-level understanding of how grazing can affect the microbial ecology and biogeochemistry of semi-terrestrial ecosystems that may help explain and predict differences in C turnover and sequestration rates between grazed and ungrazed systems.
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y5 & Y6
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2000 (Y5) and 2001 (Y6).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 2000m Y19 & Y20
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 2000m particles releases for the years 2014 (Y19) and 2015 (Y20).</p>
Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 500m Y19 & Y20
<p>A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 500m particles releases for the years 2014 (Y19) and 2015 (Y20).</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)
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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.