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932 results for “Long term data”
Data from: Plant, soil and microbial controls on grassland diversity restoration: a long-term, multi-site mesocosm experiment
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Data from: Mercury exposure in an endangered seabird: long-term changes and relationships with trophic ecology and breeding success
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Data from: Hypogonadism and low bone mineral density in patients on long-term intrathecal opioid delivery therapy
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Data from: Short‐term insurance versus long‐term bet‐hedging strategies as adaptations to variable environments
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Data set for: Long-term Perfluorooctanesulfonic acid (PFOS) exposure alters anxiety-like behaviour but not boldness in zebrafish (Danio rerio)
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Data from: Transcriptome analysis of Drosophila melanogaster laboratory strains of different geographical origin after long-term laboratory maintenance
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Data from oceanographic moorings deployed on the Antarctic Continental Shelf (and inshore) west of the Antarctic Peninsula as part of the Palmer Long Term Ecological Research Project (PAL LTER), 2007 - 2017.
Oceanographic moorings have been deployed beginning in January 2007 on the Antarctic Continental Shelf (and inshore) west of the Antarctic Peninsula as part of the Palmer Long Term Ecological Research Project (PAL LTER). The moorings have been located at several sites, each deployment lasting typically just under one year, as moorings are recovered at the beginning of the PAL LTER annual January cruise and deployed at the end of the cruise. Some sites have had mutliple deployments (ie, multiple years) while others have a mooring for only one year. Any given year had between 1 and 5 deployments. The moorings were subsurface typically with tops about 50 meters below the surface attempting to always sample the winter mixed layer and below. Each mooring consisted of a thermister string designed to well-capture the vertical temperature structure and betwee 1 and 7 current meters designed to capture the main features of the current structure. A conductivity cell was deployed infrequently to obtain salinity at a single depth.
Expression data from long-term Ebf1-deficient, CD19+, Bcl2tg cells
GEO Series GSE46349. Mus musculus. 3 samples. Type: Expression profiling by array; Third-party reanalysis.
Microarray data from simple and effective differentiation-switching model using long-term-expanded mammary primary cells
GEO Series GSE254887. Homo sapiens. 2 samples. Type: Expression profiling by array.
Transcriptome data of bone marrow long-term hematopoietic stem cells (LT-HSCs) from mice with or without 3-month high cholesterol diet (HCD) treatment
GEO Series GSE214035. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Sparus aurata transcriptomic data comparing long-term starvation and feeding with three diets differing in the macronutrient composition
GEO Series GSE100744. Sparus aurata. 16 samples. Type: Expression profiling by array.
Microarray data from simple and effective differentiation-switching model using long-term-expanded prostate primary cells
GEO Series GSE283321. Homo sapiens. 2 samples. Type: Expression profiling by array.
RNAseq transcriptomic data of MCF10A cells following long-term exposition to BMP2 and IL6
GEO Series GSE186734. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Raw data for: Epigenetic Age and Long-Term Cancer Risk Following a Stroke
GEO Series GSE280206. Homo sapiens. 648 samples. Type: Methylation profiling by genome tiling array.
Three-dimensional hydraulic tomography analysis of long-term municipal wellfield operations: Validation with synthetic flow and solute transport data
<p>Attached are the datasets utilized to accomplish the study of "<em>Three-dimensional hydraulic tomography analysis of long-term municipal wellfiled operations: Validation with synthetic flow and solute transport data". </em>Basically, it includes the information of the discrete model and assigned, wells as well as the generated synthetic hydraulic head and solute concentration data.</p>
Input data for manuscript "An open-source low-cost sensor for SNR-based GNSS reflectometry: Design and long-term validation towards sea level altimetry"
<p>Input data for Fagundes et al. (2021), "An open-source low-cost sensor for SNR-based GNSS reflectometry: Design and long-term validation towards sea level altimetry", GPS Solutions (in press). <a href="https://www.researchgate.net/publication/341946011">preprint</a></p>
Data from: Long-term data reveal patterns and controls on streamwater chemistry in a forested stream: Walker Branch, Tennessee
We present 20 years of weekly streamwater chemistry, hydrology, and climate data for the Walker Branch watershed in eastern Tennessee, USA. Since 1989, the watershed has experienced a ~1.0˚C increase in mean annual temperature, a ~20% decline in precipitation, and a ~30% increase in forest evapotranspiration rates. As a result, runoff has declined by ~34%. We evaluate long-term trends in streamwater concentrations and fluxes for 9 solutes and use wet deposition data to calculate approximate watershed input-output budgets. Dissolved constituents were classified as geochemical solutes (Ca2+, Mg2+ and SO42-) or nutrients (NH4+, NO3-, SRP, TSN, TSP, and DOC). Geochemical solutes are predominantly controlled by discharge and long-term changes in catchment hydrology have led to significant trends in the concentrations and fluxes of these solutes. Further, trends in geochemical solute concentrations indicate shifting soil flowpath contributions to streamflow generation through time, with deep groundwater having a greater proportional contribution in recent years. Despite dramatic changes in watershed runoff, there were no trends in inorganic nutrient concentrations (NH4+, NO3-, and SRP). While most nutrients entering the watershed are retained, stream fluxes of nutrient solutes have declined significantly as a result of decreasing runoff. Nutrient concentrations in streamwater exhibit large seasonality controlled by in-stream biological uptake. Stream benthic communities are sensitive to hydrologic disturbance and changes in the frequency or intensity of storm events through time can affect nutrient fluxes. Stream NO3- concentrations are also sensitive to drought, with concentrations decreasing (increasing) if conditions during the 3 years prior to the time of sampling were drier (wetter) than the long-term mean. Future changes in the incidence of storm events, as well as the number and duration of droughts, have the potential to significantly alter watershed nutrient losses. Our analysis indicates that changing climates can differentially affect watershed element cycles through changes in biogeochemical process rates or through changes in catchment hydrology. Furthermore, climate change can include both long-term trending in mean climate variables, as well as changes in the frequency and intensity of storms and droughts, with each of these types of change having distinct effects on biological and geochemical processes governing different solutes.
Data from: Effects of mass extinction and recovery dynamics on long-term evolutionary trends: a morphological study of Strophomenida (Brachiopoda) across the Late Ordovician mass extinction
Mass extinctions affect the history of life by decimating existing diversity and ecological structure and creating new evolutionary and ecological pathways. Both the loss of diversity during these events and the rebound in diversity following extinction had a profound effect on Phanerozoic evolutionary trends. Phylogenetic trees can be used to robustly assess the evolutionary implications of extinction and origination. We examine both extinction and origination during the Late Ordovician mass extinction. This mass extinction was the second largest in terms of taxonomic loss but did not appear to radically alter Paleozoic marine assemblages. We focus on the brachiopod order Strophomenida, whose evolutionary relationships have been recently revised, to explore the disconnect between the processes that drive taxonomic loss and those that restructure ecological communities. A possible explanation for this disconnect is if extinction and origination were random with respect to morphology. We define morphospace using principal coordinate analysis (PCO) of character data from 61 Ordovician-Devonian taxa and their 45 ancestral nodes, defined by a most parsimonius reconstruction in Mesquite. A bootstrap of the centroid of PCO values indicates that genera were randomly removed from morphospace by the Late Ordovician mass extinction, and new Silurian genera were clustered within a smaller previously unoccupied region of morphospace. Diversification remained morphologically constrained throughout the Silurian and into the Devonian. This suggests that the recovery from the Late Ordovician mass extinction resulted in a long-term shift in strophomenide evolution. More broadly, recovery intervals may hold clues to understanding the evolutionary impact of mass extinctions.
Data from: Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria
Understanding the extreme variation among bacterial genomes remains an unsolved challenge in evolutionary biology, despite long-standing debate about the relative importance of natural selection, mutation, and random drift. A potentially important confounding factor is the variation in mutation rates between lineages and over evolutionary history, which has been documented in several species. Mutation accumulation experiments have shown that hypermutability can erode genomes over short timescales. These results, however, were obtained under conditions of extremely weak selection, casting doubt on their general relevance. Here, we circumvent this limitation by analyzing genomes from mutator populations that arose during a long-term experiment with Escherichia coli, in which populations have been adaptively evolving for >50,000 generations. We develop an analytical framework to quantify the relative contributions of mutation and selection in shaping genomic characteristics, and we validate it using genomes evolved under regimes of high mutation rates with weak selection (mutation accumulation experiments) and low mutation rates with strong selection (natural isolates). Our results show that, despite sustained adaptive evolution in the long-term experiment, the signature of selection is much weaker than that of mutational biases in mutator genomes. This finding suggests that relatively brief periods of hypermutability can play an outsized role in shaping extant bacterial genomes. Overall, these results highlight the importance of genomic draft, in which strong linkage limits the ability of selection to purge deleterious mutations. These insights are also relevant to other biological systems evolving under strong linkage and high mutation rates, including viruses and cancer cells.
Data from: Long-term test–retest reliability of striatal and extrastriatal dopamine D2/3 receptor binding: study with [11C]raclopride and high-resolution PET
We measured the long-term test–retest reliability of [11C]raclopride binding in striatal subregions, the thalamus and the cortex using the bolus-plus-infusion method and a high-resolution positron emission scanner. Seven healthy male volunteers underwent two positron emission tomography (PET) [11C]raclopride assessments, with a 5-week retest interval. D2/3 receptor availability was quantified as binding potential using the simplified reference tissue model. Absolute variability (VAR) and intraclass correlation coefficient (ICC) values indicated very good reproducibility for the striatum and were 4.5%/0.82, 3.9%/0.83, and 3.9%/0.82, for the caudate nucleus, putamen, and ventral striatum, respectively. Thalamic reliability was also very good, with VAR of 3.7% and ICC of 0.92. Test-retest data for cortical areas showed good to moderate reproducibility (6.1% to 13.1%). Our results are in line with previous test–retest studies of [11C]raclopride binding in the striatum. A novel finding is the relatively low variability of [11C]raclopride binding, providing suggestive evidence that extrastriatal D2/3 binding can be studied in vivo with [11C]raclopride PET to be verified in future studies.
ScienceDex guides
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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.