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733
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ShareScore release 0.9.0
Dataset results
733 results for “passive”
Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary Soil Organic Carbon Restart File V001
This ancillary SMAP product contains the yearly soil organic carbon (SOC) restart file. This file contains the area density of SOC at the start of the year, which is used to calculate daily SOC based on defined deposition and decay rates.
Soil Moisture Active Passive (SMAP) L1-L3 Ancillary Satellite Data V001
This ancillary SMAP product contains two dynamic data sets describing 1) the attitude and 2) the trajectory of the SMAP satellite. The data files are generated using quaternions from the SMAP spacecraft and inputs from earth receiving stations, respectively.
Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary Surface Meteorological Forcing Data V001
This ancillary SMAP product contains dynamic surface meteorological forcing data. The meteorological model is derived from the Modern-Era Retrospective Analysis for Research and Applications (MERRA) data set and used as an input in the SMAP L4 Carbon algorithm. The forcing data is processed from hourly GEOS-5 files into daily values. Daily files are processed every eight days.
Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary Meteorology Preprocessor Run Time Input Parameters V001
This ancillary SMAP product contains meteorological model configurations, including model inputs. The meteorological model is derived from the Modern-Era Retrospective Analysis for Research and Applications (MERRA) data set and used as an input in the SMAP L4 Carbon algorithm.
Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data V002
This data set is generated from brightness temperature data and is designed to provide a consistent time series of sea ice concentrations spanning the coverage of several passive microwave instruments.The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km. Data coverage began on 26 October 1978 and is ongoing through the most current processing, with updated data processed several times annually.
Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary FPAR Climatology V001
This ancillary SMAP product contains a static climatology data set. The climatology data is derived from MODIS Fractional Photosynthetically Active Radiation (FPAR) models and represents a global 8-day average.
Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary Output Log Files V001
This ancillary SMAP product includes Land Data Assimilation Systems (LDAS) Catchment model log files, including model outputs.
Soil Moisture Active Passive (SMAP) L1-L3 Ancillary Static Data V001
This ancillary SMAP product contains more than 50 data sets. These data sets contain the inputs necessary to create SMAP products from raw instrument counts, such as permanent masks (land, water, forest, urban, mountain, etc.), the grid cell average elevation and slope derived from a Digital Elevation Model (DEM), permanent open water fraction, soils information (primarily sand and clay fraction), vegetation parameters, and surface roughness parameters.
Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary Meteorology Preprocessor Output Log Files V001
This ancillary SMAP product contains daily meteorological model log files, including model outputs. The meteorological model is derived from the Modern-Era Retrospective Analysis for Research and Applications (MERRA) data set and used as an input in the SMAP L4 Carbon algorithm.
Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary MODIS FPAR Preprocessor Output Log Files V001
This ancillary SMAP product contains MODIS Fractional Photosynthetically Active Radiation (FPAR) model log files, including model outputs.
Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR V002
The Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 2 data set is a multi-sensor Level 3 Earth Science Data Record (ESDR) with improvements upon Version 1 in cross-sensor calibration and quality checking, modern file formats, better quality control, improved projection grids, and local time-of-day (LTOD) processing. These data are gridded to three EASE-Grid 2.0 projections (North Azimuthal, South Azimuthal, and Cylindrical) and include enhanced-resolution imagery, as well as coarse-resolution, averaged imagery. Inputs include brightness temperature data from the Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), Special Sensor Microwave Imager/Sounder (SSMIS), Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E), and Advanced Microwave Scanning Radiometer 2 (AMSR2).
Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary LDAS Parameters Files V001
This ancillary SMAP product contains three dynamic Land Data Assimilation Systems (LDAS) data sets. These data sets include Brightness Temperature (TB) scaling parameters; catchment model parameters such as topographic statistics, soil texture, and soil hydraulic parameters; and LDAS L-band microwave radiative transfer model parameters.
Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary Restart Files V001
This ancillary SMAP product contains static restart files for the Land Data Assimilation Systems (LDAS) Catchment model. This product includes prognostic variables for both the catchment model and perturbations model.
Soil Moisture Active Passive (SMAP) L1-L3 Ancillary NOAA Data V001
This ancillary SMAP product contains six dynamic data sets originally produced by NOAA or NOAA-affiliated organizations. 1) NCEP Geophysical Forecast System modeled data provided in 6-hour time steps 2) Daily Reynolds Sea Surface Temperature data 3) Snow Cover data from NOAA Interactive Multisensor Snow and Ice Mapping System 4) NOAA Solar Radio Flux 5) GPS-derived total electron content used to compute the Faraday rotation correction for the SMAP radar 6) Instantaneous wave height measures
5-hydroxymethylcytosines regulate gene expression as a passive DNA demethylation resisting epigenetic mark in proliferative somatic cells [RNA-Seq]
GEO Series GSE224393. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Passive Transfer of Vaccine-Elicited Antibodies Protects Against SIV in Rhesus Macaques
GEO Series GSE156177. Macaca mulatta. 89 samples. Type: Expression profiling by high throughput sequencing.
5-hydroxymethylcytosines regulate gene expression as a passive DNA demethylation resisting epigenetic mark in proliferative somatic cells [methylation]
GEO Series GSE224406. Homo sapiens. 16 samples. Type: Methylation profiling by high throughput sequencing.
Recovery of seedling community attributes during passive restoration of a tropical moist forest in Uganda
<p><strong>Aim: </strong>There has been a debate about the effectiveness of passive restoration for recovering tropical forests, but few studies quantify the success of passive restoration. The aim of this study was to better understand tropical forest succession under a passive restoration scenario. We compared floristic and functional attributes of seedlings in a passively-restored and an old-growth forest, and assessed the effect of restoration age and distance from the old-growth forest on seedling attributes.</p> <p><strong>Location:</strong> Kibale National Park, western Uganda</p> <p><strong>Methods:</strong> We measured seedlings in a passively-restored and an old‐growth forest in 2011, 2014 and 2017. We determined species diversity, structure and composition and searched the literature for functional traits. We used generalized linear mixed-effects models to compare seedling attributes between the restored and old-growth forest and determine the influence of restoration age and distance from the old-growth forest.</p> <p><strong>Results:</strong> Seedling species abundance, evenness, basal area and height were similar between the restored and old-growth forest. Wood density and abundance of seedlings of different dispersal modes, habitat types, fruit size categories, and regeneration strategies were also similar between the restored and old-growth forest. However, richness, diversity and composition of seedlings were different. We found a positive effect of restoration age on species abundance and abundance of non-zoochorous, medium-fruited, forest-dependent, non-pioneer light demander and shade-tolerant species, and a negative effect on evenness, wood density, abundance of pioneers and compositional dissimilarity. Basal area of seedlings and the abundance of zoochorous and forest-dependent species declined while compositional dissimilarity increased with distance from the old-growth forest.</p> <p><strong>Conclusions:</strong> Our results provide empirical evidence on the potential of passive restoration to recover the structure and functionality of tropical forests in a relatively short period of time. We demonstrate that the effect of restoration age and distance from the old-growth forest is not straightforward and depends on the attributes measured.</p>
IB-AGC: Annual 25 km global live biomass carbon product from SMOS L-band passive microwave vegetation optical depth
<p>The IB AGC dataset provides global aboveground biomass carbon (AGC) estimates for 2010-2020, derived from SMOS-IC L-band vegetation optical depth (L-VOD) using improved calibration methods and corrections for vegetation water effects. The accuracy assessments revealed that the IB L-VOD-derived AGC shows a very good spatial and temporal consistency with national forest inventory data and forest disturbance events, when compared to other mainstream satellite products. The dataset is stored in netCDF4 format and projected on the global cylindrical Equal-Area Scalable Earth Grid version 2.0 (EASE-Grid 2.0), with dimensions of 584 by 1388 and a grid resolution of 25 km. It includes eight layers, featuring the AGC density map and its associated uncertainty layer, representing the standard error of calibration. Additionally, a sub-product of total biomass carbon (BC) density is provided, calculated using a ratio method. The associated uncertainty, derived via error propagation, accounts for calibration errors in AGC and the AGC-to-BGC ratio.</p>
Passive self-turning vibration neutraliser
<p>The videos showcase the <strong>passive self-turning vibration neutraliser</strong> developed in the works of Nehemy et al. (2024) and Nehemy et al. (2023). This neutraliser is designed with <strong>two distinct tuning frequencies</strong> that cause it to rotate to either 0° or 90°, depending on the excitation frequency applied at its base.</p> <p>In each video, the neutraliser is initially positioned at either 0° or 90° and is then excited at the tuning frequency associated with the opposite position. This excitation induces the neutraliser to passively rotate to the alternative orientation, driven solely by the applied frequency. The rotation mechanism is entirely passive, leveraging the nonlinear coupling between the system's degrees of freedom to achieve automatic adjustment based on the excitation frequency.</p>
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.