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15,542 results for “How long”
Verification of the accuracy of the recent 50 years of tree growth and long-term change in intrinsic water-use efficiency using xylem Δ14C and δ13C in trees in an aseasonal tropical rainforest
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Data from: Low bottleneck detection in long-lived species despite lost genetic diversity: a case study of tuatara and eastern massasauga rattlesnakes
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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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Dataset: Long term fMRI adaptation depends on adapter response in face-selective cortex
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Long-term trends in the phylogenetic and functional diversity of Anatidae in South China coastal wetlands
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Temporal trends in case fatality, discharge destination, and admission to long-term care after acute stroke
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Orientation behavior of riparian Long-Jawed Orb Weavers (Tetragnatha elongata) after displacement over water
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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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Phylogeny and biogeography of Acaena (Rosaceae) and its relatives: Evidence of multiple long-distance dispersal events across the globe
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As the Wind Blows: The Effects of Long-Term Exposure to Air Pollution on Mortality
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Prolonged and coordinated differentiation of long-lived SARS-CoV-2-specific CD8+ T cells during convalescence
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Isotopic evidence for long-distance connections of the AD thirteenth century Promontory caves occupants
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Long-term study reveals top-down effect of crabs on a California salt marsh
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Survey 200 long term study of multiple sites in central Arizona-Phoenix: shrubs
Shrubs sample numbers of individuals, Survey 200 project within central Arizona-Phoenix, 1999-2005.
Study area of the Central Arizona-Phoenix Long Term Ecological Research (CAP LTER) project initiated in 1997
The Central Arizona-Phoenix Long Term Ecological Research (CAP LTER)project began in 1997. These data represent the study area of the Central Arizona Phoenix Long Term Ecological Research scope.
Meiobenthos abundance. Long-term variability and dynamics of estuarine meiobenthic populations for North Inlet Estuary, South Carolina, from 1972 to 1992, North Inlet LTER
The original purpose of this research was to determine if natural meiobenthic assemblages exhibited continuity over time and to monitor several physical variables to determine if these influenced long-term temporal patterns. The most recent study focused on variation and the relations of meiobenthos abundance with environmental factors over 11 years. Typically marine benthic community studies are limited temporally and the majority of previously published 'longterm' meiofauna results (all taxa) were based on about a year's duration.
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.
LBA-ECO TG-07 Long-Term Soil Gas Flux and Root Mortality, Tapajos National Forest
This data set reports measurements of trace gas fluxes of methane (CH4), nitric oxide (N2O), nitrous oxide (NO), carbon dioxide (CO2) from soils at a study site in the Tapajos National Forest (TNF), near the km 83 on the Santarem-Cuiaba Highway south of Santarem, Para, Brazil. Data for root mass and carbon content, soil nitrogen (N), nitrification, and moisture content are also provided. There are five comma-delimited data files with this data set.The research was conducted to test the effects of root mortality on the soil-atmosphere trace-gas fluxes over the course of one year. Root mortality was induced by isolating blocks of land to 1 m depth using trenching and root exclusion screening. Gas fluxes were measured weekly for ten weeks following the trenching treatment and monthly for the remainder of the year.Note: The related data set LBA-ECO TG-07 Soil Trace Gas Flux and Root Mortality, Tapajos National Forest contains the same flux data that were measured weekly for ten weeks following the trenching treatment. This data set also provides the monthly data for the remainder of the year.
Multi-Satellite Volcanic Sulfur Dioxide L4 Long-Term Global Database V4 (MSVOLSO2L4) at GES DISC
Version 4 is the current version of the data set. Older versions are no longer available and have been superseded by Version 4.These data are a part of MEaSUREs 2012 projects. The particular project, "Multi-Decadal Sulfur Dioxide Climatology from Satellite Instruments", is expected to produce SO2 Earth Science Data Record by means of combining measurements from backscatter Ultraviolet (BUV), thermal infrared (IR) and microwave (MLS) instruments on multiple satellites. The data represent best estimates of the volcanic and anthropogenic contribution to global atmospheric SO2 concentrations. Since SO2 is the major precursor of sulfate aerosol, which has climate and air quality impact, SO2 measurements will contribute to better understanding of the sulfate aerosol distributions and its atmospheric impact."The released data file is a long-term database of volcanic SO2 emission derived from ultraviolet satellite measurements from October 31, 1978, to present.Data are in a table format in simple ASCII format:Column Descriptions:Column 1 = Name of volcano.Column 2 = Latitude of volcano.Column 3 = Longitude of volcano.Column 4 = Altitude of volcano (km).Column 5 = Eruption year.Column 6 = Eruption month of year.Column 7 = Eruption day of month.Column 8 = Eruption style: exp = explosive, eff = effusive.Column 9 = Eruption volcanic explosivity index (nd = no data or undetermined).Column 10 = Observed plume altitude (km) where known.Column 11 = Estimated plume altitude (km) above vent: 10 km for explosive, 5 km for effusive.Column 12 = Measured SO2 mass in kilotons (= 1000 metric tons).
Multi-Satellite Air Quality Sulfur Dioxide (SO2) Database Long-Term L4 Global V2 (MSAQSO2L4) at GES DISC
These data are a part of Multi-Decadal Sulfur Dioxide (SO2) Climatology from Satellite Instruments (MEaSUREs-12-0022 project). Version 2 of the global catalogue of emissions from large SO2 point sources combines data from the Ozone Monitoring Instrument (OMI) on NASA's EOS Aura spacecraft, the Ozone Mapping and Profiler Suite (OMPS) on the NASA-NOAA Suomi National Polar-orbiting Partnership (SNPP), and the TROPOspheric Monitoring Instrument (TROPOMI) on the ESA/Copernicus Sentinel-5 Precursor (S-5P) spacecraft.The catalogue MSAQSO2L4 file contains the site coordinates, source type, country, source name, annual SO2 emissions, annual emission uncertainties, and the number of satellite pixels in the fitting area for three satellite instruments as well as for their weighted average.The emission estimates are based on operational version 2 OMI and OMPS Principal Component Analysis (PCA) retrieval algorithm SO2 slant column density (SCD) data (Li et al., 2020) as well as on new TROPOMI Covariance-Based Retrieval Algorithm (COBRA) SCD data (Theys et al., 2021). A single time-independent site-specific Air-Mass Factor (AMF) value for each site was calculated (McLinden et al., 2014) and applied consistently to each satellite SCD dataset to derive SO2 vertical column densities (VCDs=SCDs/AMFs). The emission estimate method is based on a fit of satellite VCDs to an empirical plume model developed to describe the SO2 spatial distribution near emission point sources. The plume model assumes that the SO2 concentrations emitted from a point source decline exponentially with distance and that they are affected by turbulent diffusion that can be described by a two-dimensional (2D) exponentially modified Gaussian function. The total SO2 mass is derived from the fit and the annual emission rate is calculated as the ratio between the total mass and the prescribed SO2 lifetime.
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.