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528 results for “equivalence”
Therapeutic Equivalence Study of Generic Brinzolamide vs Azopt
ClinicalTrials.gov study NCT03896633. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Equivalence between step selection functions and biased correlated random walks for statistical inference on animal movement
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Data from: An avian equivalent of selective abortion: post-laying clutch reduction under resource limitation
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Data from: Equivalence analysis to support environmental safety assessment: using nontarget organism count data from field trials with cisgenically modified potato
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Age-related change of axial length, spherical equivalent, prevalence of myopia and high myopia in school-age children in Shanghai: 2014 to 2018
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Data from: BAMM at the court of false equivalency: a response to Meyer and Wiens
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Data from: Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
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Data from: State-space reduction and equivalence class sampling for a molecular self-assembly model
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CanSISE Observation-Based Ensemble of Northern Hemisphere Terrestrial Snow Water Equivalent, Version 2
This data set is a daily gridded terrestrial snow water equivalent (SWE) dataset based on five component SWE products:<ul><li><a href="http://www.globsnow.info">GlobSnow combined SWE product (passive microwave/ground-based weather station, version 2)</a></li><li><a href="http://apps.ecmwf.int/datasets/.">ERA-Interim/Land reanalysis SWE product</a></li><li><a href="http://gmao.gsfc.nasa.gov/pubs/docs/Reichle541.pdf">MERRA reanalysis SWE product </a></li><li>Crocus SWE data set: output from the Crocus snowpack model, driven by ERA-Interim meteorology (<a href="http://dx.doi.org/10.1175/JHM-D-12-012.1">Brun et al. 2013</a>)</li><li>GLDAS SWE product (version 2) (<a href="http://dx.doi.org/10.1175/BAMS-85-3-381">Rodell et al. 2004</a>; <a href="http://dx.doi.org/10.5067/0JNJQ8ZDZRBA">Rodell and Beaudoing 2013</a>)</li></ul>
JPL GRACE/GRACE-FO Gridded-AOD1B Water-Equivalent-Thickness Surface-Mass Anomaly RL06.3 dataset for Tellus Level-3 mascon 0.5-degree grid
GRACE non-tidal high-frequency atmospheric and oceanic mass variation models are routinely generated at GFZ as so-called Atmosphere and Ocean De-aliasing Level-1B (AOD1B) products (in terms of corresponding spherical harmonic geopotential coefficients) to be added to the background static gravity model during GRACE monthly gravity field determination. AOD1B products are 3-hourly series of spherical harmonic coefficients up to degree and order 180 which are routinely provided to the GRACE Science Data System and the user community with only a few days time delay. These products reflect spatio-temporal mass variations in the atmosphere and oceans deduced from an operational atmospheric model and corresponding ocean dynamics provided by an ocean model. The variability is derived by subtraction of a long-term mean of vertical integrated atmospheric mass distributions and a corresponding mean of ocean bottom pressure as simulated with the ocean model.<br><br>The Gridded AOD1B data sets provided here contain the monthly mean AOD1B data in geolocated gridded form, smoothed or spatially aggregated to be consistent with the GRACE and GRACE-FO Tellus Level-3 data products of land and/or ocean mass anomalies. With these gridded AOD1B Level-3 products, users can remove or add the effects of the modeled mean monthly atmospheric and ocean bottom pressure change (e.g., to compare different models).
CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.3 version 04
This data set is produced by the Center for Space Research (CSR) GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the terrestrial water storage anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Data grids are provided in ASCII/netCDF/GeoTIFF formats. <br><br>GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Additionally, this release 06.3 is an updated version of the Level 3 products in coordination with the release of the analogous Level 2 products used to generate them. It differs from RL06.1 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; see respective L-2 data descriptions. RL06.3 uses the ACX2-L1B data products. All GRACE-FO RL06.3 Level-3 fields are fully compatible with the GRACE RL06 data.
BOREAS HYD-03 Snow Water Equivalent Data
The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of snow depth, snow density in 3-cm intervals, an integrated snow pack density and snow water equivalent (SWE), and snow pack physical properties from snow pit evaluation taken in 1994 and 1996. The data were collected from several sites in both the SSA and the NSA. A variety of standard tools were used to measure the snowpack properties, including a meter stick (snow depth), a 100 cc snow density cutter, a dial stem thermometer and the Canadian snow sampler as used by HYD-04 to obtain a snow pack-integrated measure of SWE. This study was undertaken to predict spatial distributions of snow properties important to the hydrology, remote sensing signatures, and the transmissivity of gases through the snow.
MetOp-B ASCAT Scatterometer Inter-Calibrated ESDR Level 2 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Vectors Version 1.1
This dataset contains ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations (the MetOp-B ASCAT scatterometer), representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. This product from MetOp-B ASCAT has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, ScatSat-1, and QuikScat satellites (all of which can be found on the MEaSUREs OSVW Project Page), and if used together create an unbroken record of winds from 1999 to 2022. The wind vector and stress retrievals are provided on a non-uniform grid within the swath (Level 2 (L2) products) at 12.5 km pixel resolution. Each L2 file corresponds to a specific orbital revolution number, which begins at the southernmost point of the ascending orbit. The thumbnail shows data for two orbits - using all orbits for a single day will provide global coverage.<br><br>The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) increased data coverage, 2) improved quality control, and 3) new global metadata attributes featuring revolution number, equator crossing longitude, and equator crossing time (UTC). The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST).
MetOp-B ASCAT Scatterometer Inter-Calibrated ESDR Level 3 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Version 1.0
This dataset contains gridded ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations (the MetOp-B ASCAT scatterometer), representing the first science quality release of these data funded under the MEaSUREs program. This product from MetOp-B ASCAT has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, ScatSat-1, and QuikScat satellites, all of which can be found on the MEaSUREs OSVW Project Page. The wind vector and stress retrievals are provided on a global grid (one per file) at 12.5 km pixel resolution, but data exist only over areas of the globe that fell within one of the satellite swaths/orbits for that day (see thumbnail). <br><br>The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Note that this is the first version of the Level 3 data (V1.0) but they were derived from V1.1 of the Level 2 product. The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST).
CSR TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04
The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.
BOREAS HYD-03 Snow Water Equivalent: 1996
The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of snow depth, snow density in 3-cm intervals, an integrated snow pack density and snow water equivalent (SWE), and snow pack physical properties from snow pit evaluation taken in 1994 and 1996. The data were collected from several sites in both the SSA and the NSA. A variety of standard tools were used to measure the snowpack properties, including a meter stick (snow depth), a 100 cc snow density cutter, a dial stem thermometer and the Canadian snow sampler as used by HYD-04 to obtain a snow pack-integrated measure of SWE. This study was undertaken to predict spatial distributions of snow properties important to the hydrology, remote sensing signatures, and the transmissivity of gases through the snow.
JPL TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04
The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.
Multi-Satellite Lambertian Equivalent Reflectivity (Noon Normalized) 10-Day L3 Global 2.0x5.0deg Lat/Lon Grid V1 (MSLERNNL3d10) at GES DISC
The Multi-Satellite Lambertian Equivalent Reflectivity (Noon Normalized) 10-Day L3 Global 2.0x5.0deg Lat/Lon Grid data product is derived from multi-satellite Solar Backscatter UltraViolet (SBUV) observations made by the Nimbus-7 SBUV, and NOAA 9, 11, 14, 16, 17, 18 SBUV/2 instruments at 340 nm. The Noon Normalized (NN) data have been corrected to local noon equator crossing time. The NN correction was applied only to data between latitudes 60 degrees north and 60 degrees south due to insufficient diurnal data at higher latitudes. The table below lists the date ranges for each instrument (note A = ascending node, D = descending node):Instrument Start Date End Date------------------ ---------- ----------Nimbus-7 SBUV 1978-11-01 1990-06-21NOAA-9 SBUV/2 (A) 1985-02-02 1991-09-03NOAA-9 SBUV/2 (D) 1990-04-25 1997-05-31NOAA-11 SBUV/2 (A) 1988-12-01 1995-03-31NOAA-11 SBUV/2 (D) 1997-07-15 2001-03-26NOAA-14 SBUV/2 (A) 1995-02-05 2002-09-11NOAA-14 SBUV/2 (D) 2002-04-09 2006-09-28NOAA-16 SBUV/2 (A) 2000-10-03 2009-09-15NOAA-16 SBUV/2 (D) 2008-04-28 2012-12-31NOAA-17 SBUV/2 2002-07-10 2012-12-31NOAA-18 SBUV/2 2005-06-05 2012-12-12The scene reflectivities of the Earth at blue and ultraviolet (UV) wavelengths (320 nm to 415 nm) are low over most surfaces (except ice and snow), and are almost independent of the seasonal changes in vegetation on land and in the oceans. This makes it ideal for examining changes in radiation reflected back to space from changes in cloud and aerosol amounts, especially as affected by the start of climate change.The MSLERNNL3d10 data are archived in the HDF-EOS5 file format using the Grid model. The product consists of a single data file representing the entire data set containing the noon-normalized reflectivites in a single latitude versus longitude versus time data field array or variable. The data array contains attributes describing the variable, and the file contains metadata stored in the HDFEOS file attribute section.
MetOp-A ASCAT Scatterometer Inter-Calibrated ESDR Level 3 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Version 1.0
This dataset contains gridded ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations (the MetOp-A ASCAT scatterometer), representing the first science quality release of these data funded under the MEaSUREs program. This product from MetOp-A ASCAT has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-B, ScatSat-1, and QuikScat satellites, all of which can be found on the MEaSUREs OSVW Project Page. The wind vector and stress retrievals are provided on a global grid (one per file) at 12.5 km pixel resolution. Data exist only over areas of the globe that fell within one of the satellite swaths/orbits for that day (see thumbnail). <br><br>The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Note that this is the first version of the Level 3 data (V1.0) but they were derived from V1.1 of the Level 2 product. The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST).
Multi-Satellite Lambertian Equivalent Reflectivity (Noon Normalized) 1 day L3 Global 5.0deg Lat Zones V1 (MSLERNNL3zm) at GES DISC
The Multi-Satellite Lambertian Equivalent Reflectivity (Noon Normalized) 1 day L3 Global 5.0deg Lat Zones data product (MSLERNNL3zm) is derived from observations made by the Nimbus-7 SBUV, and NOAA 9, 11, 14, 16, 17, 18, 19 SBUV/2 instruments (340 nm), Nimbus-7 and Earth Probe TOMS (331 nm), OMI (340 nm) and SeaWiFS (412 nm) from 1978 to 2011. The Noon Normalized (NN) data have been corrected to local noon equator crossing time. The NN correction was applied only to data between latitudes 60 degrees north and 60 degrees south due to insufficient diurnal data at higher latitudes. The table below lists the date ranges for each instrument (note A = ascending node, D = descending node):Instrument Start Date End Date------------------ ---------- ----------Nimbus-7 SBUV 1978-11-01 1990-06-21NOAA-9 SBUV/2 (A) 1985-02-02 1991-09-03NOAA-9 SBUV/2 (D) 1990-04-25 1997-05-31NOAA-11 SBUV/2 (A) 1988-12-01 1995-03-31NOAA-11 SBUV/2 (D) 1997-07-15 2001-03-26NOAA-14 SBUV/2 (A) 1995-02-05 2002-09-11NOAA-14 SBUV/2 (D) 2002-04-09 2006-09-28NOAA-16 SBUV/2 (A) 2000-10-03 2009-09-15NOAA-16 SBUV/2 (D) 2008-04-28 2012-12-31NOAA-17 SBUV/2 2002-07-10 2012-12-31NOAA-18 SBUV/2 2005-06-05 2012-12-12Nimbus-7 TOMS 1978-11-01 1993-05-06EarthProbe TOMS 1996-07-25 2004-06-21Aura OMI 2005-01-01 2008-12-31SeaStar SeaWiFS 1998-01-01 2008-12-30The scene reflectivities of the Earth at blue and ultraviolet (UV) wavelengths (320 nm to 415 nm) are low over most surfaces (except ice and snow), and are almost independent of the seasonal changes in vegetation on land and in the oceans. This makes it ideal for examining changes in radiation reflected back to space from changes in cloud and aerosol amounts, especially as affected by the start of climate change.The MSLERNNL3zm data are archived in the HDF-EOS5 file format using the Zonal Average (ZA) model. The product consists of a single data file representing the entire data set containing the individual instrument data in separate time versus latitude arrays. Each data array contains attributes describing the variable, and the file contains metadata stored in the HDFEOS file attribute section.
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.