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9,882 results for “Scale”
Hierarchical Bayesian scaling of soil properties across urban, agricultural, and desert ecosystems in central Arizona-Phoenix
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Delta-X: Delft3D Broad-Scale Sediment Model, Terrebonne Basin, MRD, Louisiana, USA
This dataset contains the Delft3D model of the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall campaigns in 2021 and include hydrodynamics, waves, and sediment transport. Bottom friction was calibrated using AirSWOT water elevation data, while sediment parameters were calibrated using AVIRIS-NG Total Suspended Solids (TSS) data. All files required to run the simulations are included. The model's output of water levels, velocity, and depth-averaged sediment concentrations are provided for both campaigns as netCDF files. The dataset includes a netCDF file containing the annual inorganic mass accumulation rates derived through a storms analysis and modelling.
BOREAS Follow-On DSP-09 Moss Cover Classification at Three Area Scales
BOREAS follow-on group DSP-9 mapped surface moss type at three scales (1 km, 30 m, and 10 m) based on observed associations between moss cover and land cover type. In the BOREAS Northern (NSA) and Southern (SSA) Study Areas, we utilized land cover derived from Landsat TM (30 m) and ground measurements/observations, soils maps, and field observations to establish associations between moss and land cover. At the BOREAS regional scale, the 1 km moss cover map was developed using a 1 km AVHRR land cover map for a 619 by 821 km subset of the BOREAS region. Our regional moss cover map is largely based on inferences from the 1 km land cover analysis and from ground observations in the study areas. The 30 m moss map covers the BOREAS Southern Study Area. The 10 m map covers the BOREAS NSA Old Black Spruce tower site.
BOREAS Level-3S SPOT Imagery: Scaled At-Sensor Radiance in LGSOWG Format
For BOREAS, the level-3s SPOT data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as FPAR and LAI. The SPOT images acquired for the BOREAS project were selected primarily to fill temporal gaps in the Landsat TM image data collection. CCRS collected and supplied the level-3s images to BORIS for use in the remote sensing research activities. Spatially, the level-3s images cover 60-by 60-km portions of the BOREAS NSA and SSA. Temporally, the images cover the period of 17-Apr-1994 to 30-Aug-1996. The images are available in binary image format files. Companion files include (1) an image inventory listing to inform users of the images that are available and (2) example thumbnail images.
BOREAS Landsat TM Level-3s Imagery: Scaled At-Sensor Radiance in LGSOWG Format
For BOREAS, the level-3s Landsat TM data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as FPAR and LAI. CCRS collected and supplied the level-3s images to BOREAS for use in the remote sensing research activities. Geographically, the bulk of the level-3s images cover the BOREAS NSA and SSA with a few images covering the area between the NSA and SSA. Temporally, the images cover the period of 22-Jun-1984 to 30-Jul-1996. Companion files include (1) an image inventory listing to inform users of the images that are available and (2) example thumbnail images that may be viewed using a convenient viewer utility.
BOREAS Landsat TM Level-3a Imagery: Scaled At-Sensor Radiance in BSQ Format
For BOREAS, the level-3a Landsat TM data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as FPAR and LAI. Although very similar in content to the level-3s Landsat TM products, the level-3a images were created to provide users with a more usable BSQ format and to provide information that permitted direct determination of per-pixel latitude and longitude coordinates. Geographically, the level-3a images cover the BOREAS NSA and SSA. Temporally, the images cover the period of 22-Jun-1984 to 30-Jul-1996. The images are available in binary, image-format files. Companion files include (1) an image inventory listing to inform users of the images that are available and (2) example thumbnail images that may be viewed and the image data files downloaded using a convenient viewer utility.
Ecosystem Demography Model: Scaling Vegetation Dynamics Across South America
This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data for a portion of South America including the Brazilian Amazon. The model output data are estimates of potential average live biomass (kg C/m2), potential average soil carbon (kg C/m2), and potential above-ground net primary production (NPP) (kg C/m2/yr) at 1.0 degree resolution. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988, averaged into a single year (Moorcroft et al., 2001). Data for the three estimates are provided in both ASCII text and in NetCDF formatted files. ED is an individual-based terrestrial ecosystem model that predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP and evapotranspiration) from climate, soil, and land-use inputs. The model consists of integrated sub-models governing processes such as leaf-level physiology, plant allocation, allometry, phenology, dispersal, the effects of fire disturbances, and below-ground sub-models for soil carbon dynamics and hydrology. Using a new method for scaling-up it is possible to predict ED's large-scale behavior without simulating the fate of every plant individually. ED is used to examine how climate and edaphic factors, natural disturbances, and human land-use practices affect ecosystem structure and fluxes. This data set contains six zip files which each uncompress into six unique subdirectories. Each subdirectory is described in detail in the Model Product Description section of this document. Installation and execution instructions are provided in the Model Documentation and User's Guide section of this document.
CARVE: Ecosystem Scale CH4 Emission Derived from Aircraft Observations 2012-2014
This dataset provides methane flux estimates derived from airborne measurements collected over Alaska and the western Yukon Territory during the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) between 2012 and 2014. The state-scale methane fluxes were calculated using a combination of atmospheric profiles and lagrangian transport modeling. The methane flux estimates were used in a simple linear regression model to estimate the fluxes from the tundra and boreal ecosystems. Methane fluxes were also used with a combination of environmental variables to derive a statistical relationship between domain-wide flux and soil temperature. Soil temperature products from North American Regional Reanalysis and derived parameters from a Boltmann-Arrhenius model were used to model methane flux and related uncertainties within the domain at monthly and daily frequencies.
BOREAS Level-3b AVHRR-LAC Imagery: Scaled At-Sensor Radiance in LGSOWG Format
The BOREAS Staff Science Satellite Data Acquisition Program focused on providing the research teams with the remotely sensed satellite data products they needed to compare and spatially extend point results. Data acquired from the AVHRR instrument on the NOAA-9, -11, -12, and -14 satellites were processed and archived for the BOREAS region by the MRSC and BORIS. The data were acquired by CCRS and were provided for use by BOREAS researchers. A few winter acquisitions are available, but the archive contains primarily growing season imagery. These gridded, at-sensor radiance image data cover the period of 30-Jan-1994 to 18-Sep-1996. Geographically, the data cover the entire 1000 km x 1000 km BOREAS Region. The data are stored in binary image format files.
BOREAS Landsat TM Level-3p Imagery: Geocoded and Scaled At-Sensor Radiance
For BOREAS, the level-3p Landsat TM data were used to supplement the level-3s Landsat TM products. Along with the other remotely sensed images, the Landsat TM images were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as FPAR and LAI. Although very similar to the level-3s Landsat TM products, the level-3p images were processed with ground control information which improved the accuracy of the geographic coordinates provided. Geographically, the level-3p images cover the BOREAS NSA and SSA. Temporally, the four images cover the period of 20-Aug-1988 to 07-Jun-1994. Except for the 07-Jun-1994 image which contains 7 bands, the other three only contain 3 bands. Companion files include (1)an image inventory listing to inform users of the images that are available and (2) example thumbnail images that may be viewed using a convenient viewer utility.
Delta-X: Delft3D Broad-Scale Sediment Model, Atchafalaya Basin, MRD, Louisiana, USA
This dataset contains the Delft3D model of the Atchafalaya Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall campaigns in 2021 and include hydrodynamics, waves, and sediment transport. Bottom friction was calibrated using AirSWOT water elevation data, while sediment parameters were calibrated using AVIRIS-NG Total Suspended Solids (TSS) data. All files required to run the simulations are included. Model output of water levels, velocity, and depth-averaged sediment concentration are provided for both campaigns as netCDF files. The dataset includes a netCDF file containing the annual inorganic mass accumulation rates derived from simulations.
CLPX-Ground: Snow Measurements at the Local Scale Observation Site (LSOS), Version 1
This data set presents snow depth, snow water equivalence (SWE), snow wetness data, and snow pit data from two pine sites and a small clearing at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado.
CLPX-Ground: Micrometeorological Data at the Local Scale Observation Site (LSOS), Version 1
This data set includes two sets of soil temperature profiles, two sets of soil moisture profiles, two sets of soil heat flux profiles (in dense pine and open pine areas), and one set of a snow temperature profile, air temperature, and relative humidity measurements. Measurements were made at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado.
CLPX-Ground: Sub-Canopy Energetics at the Local Scale Observation Site (LSOS), Version 1
This data set consists of solar and longwave radiation data from beneath two pine canopies (one uniform, one discontinuous) at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in northern Colorado.
Large-scale analysis of soybean embryonic axis in five time points during germination
GEO Series GSE83481. Glycine max. 10 samples. Type: Expression profiling by high throughput sequencing.
Genome-scale knockout simulation and clustering analysis of drug-resistant breast cancer cells reveal drug sensitization targets
GEO Series GSE288840. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Base-resolution analysis of deoxyuridine at genome scale based on artificial incorporation modified nucleobase
GEO Series GSE142071. Homo sapiens. 3 samples. Type: Other.
Mapping cell structure across scales by fusing protein images and interactions
GEO Series GSE171553. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
bigSCale: An Analytical Framework for Big-Scale Single Cell Data
GEO Series GSE102934. Homo sapiens. 1847 samples. Type: Expression profiling by high throughput sequencing.
Deciphering sepsis molecular subtypes using large-scale data to identify subtype-specific drug repurposing
GEO Series GSE310929. Homo sapiens. 193 samples. Type: Expression profiling by high throughput sequencing; Third-party reanalysis.
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.