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733 results for “passive”
Targeted and passive environmental DNA approaches outperform established methods for detection of quagga mussels, Dreissena rostriformis bugensis in flowing water
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Data from: Passive acoustic monitoring effectively detects Northern Spotted Owls and Barred Owls over a range of forest conditions
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Data from: Do ‘passive’ medical titanium surfaces deteriorate in service in the absence of wear?
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Atmospheric deposition sampling across an urban gradient, using passive resin collectors
One of the "Grand Challenges" for environmental biology is to increase understanding of human perturbations of biogeochemical cycles (NRC 2001). One route for these perturbations to be affected is through the transfer of pollutants from the atmosphere to the biosphere. As part of the Ecosystem Response to Material Deposition from the Urban Atmosphere (N. B. Grimm, PD) study, CAP-LTER scientists are investigating the fate of anthropogenic organic C (oC) and inorganic nitrogen (iN) deposition and their effects on ecosystem functioning in unmanaged deserts within and near cities. We hypothesize that biogeochemical cycling will be qualitatively different in urban environments due to large inputs of biologically available C and N from the atmosphere. As part of this project, we will deploy filter banks equipped with size-selective aerosol inlets to collect particulate oC and iN compounds in the urban atmosphere. In order to estimate fluxes of these nutrients from the concentration measurements, we plan to deploy weather stations and to analyze these data to estimate deposition rates.
LBA-ECO LC-08 Passive Ground-based Fire Data, Para and Mato Grosso Brazil: 2001-2002
This data set reports observations of fires in the vicinity of Maraba, Para, Brazil, from November 3-5th, 2001, and in Mato Grosso, Brazil, between Cuiaba and Alta Floresta, for July 12-15th, 2002. These ground-based data were collected by visual inspection from roads primarily during daylight hours. Data include fire position and time, estimates of fire size, and type of vegetation burned. There is one comma-delimited ASCII file with this data set.
ABoVE: Passive Microwave-derived Annual Snowpack Main Melt Onset Date Maps, 1988-2023
This dataset provides the annual date of snowpack seasonal beginning melt (i.e., main melt onset date, MMOD) across northwest Canada, Alaska, US, and parts of far eastern Russia at 6.25-km resolution for the period 1988-2023. MMOD was derived from the daily 19V (K-band) and 37V (Ka-band) GHz bands from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). The PMW MMOD dataset was validated using the transition date from Freeze Degree Days (FDD) to Thaw Degree Days (TDD) from in situ air temperature observations from 31 SNOw TELemetry network (SNOTEL) stations, and compared to an established Freeze-Thaw ESDR (FT-ESDR) spring onset date record. The resulting MMOD data record is suitable for documenting the spatial-temporal impacts of MMOD variability in ecosystem services, wildlife movements, and hydrologic processes within the ABoVE (Arctic Boreal Vulnerability Experiment) domain. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). No coastal mask is used for the 2017-2023 data. The full data are included, and data users should be aware that values adjacent to large water bodies can be adversely affected.
Greenland Ice Sheet Melt Characteristics Derived from Passive Microwave Data, Version 1
The Greenland ice sheet melt extent data, acquired as part of the NASA Program for Arctic Regional Climate Assessment (PARCA), is a daily (or every other day, prior to August 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet since 1979. It is derived from passive microwave satellite brightness temperature characteristics using the Cross-Polarized Gradient Ratio (XPGR) of Abdalati and Steffen (1997). It is physically based on the changes in microwave emission characteristics observable in data from the Scanning Multi-channel Microwave Radiometer (SMMR) and the Special Sensor Microwave/Imager (SSM/I) instruments when surface snow melts. It is not a direct measure of the snow wetness but rather is a binary indicator of the state of melt of each SMMR and SSM/I pixel on the ice sheet for each day of observation. It is, however, a useful proxy for the amount of melt that occurs on the Greenland ice sheet. The data are provided in a variety of formats including raw data in ASCII format, gridded daily data in binary format, and annual and complete time series climatologies in gridded binary and GeoTIFF format. All data are in a 60 x 109 pixel subset of the standard Northern Hemisphere polar stereographic grid with a 25 km resolution and are available via FTP.
Passive Microwave-derived Annual Snowoff Date Maps, 1988-2023
This dataset provides annual maps of the snowoff (SO) date from 1988-2023 across Alaska and parts of Far East Russia and northwest Canada at a resolution of 6.25 km. SO date is defined as the last day of persistent snow and was derived from the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR) product. The spatial domain was intended to match MODIS Alaska Snow Metrics and extend its temporal fidelity beyond the MODIS era. SO date estimates were compared to snow depth measurements collected at SNOTEL stations across Alaska and to three SO datasets derived from MODIS, Landsat, and the Interactive Multisensor Snow and Ice Mapping System (IMS). The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012).
SMEX02 Passive and Active L and S band System (PALS) Data, Version 1
This data set contains calibrated sensor measurements acquired by the Passive and Active L- and S-band (PALS) airborne microwave sensor during the Soil Moisture Experiment 2002 (SMEX02).
ABoVE: Passive Microwave-derived Annual Snow Melt Duration Date Maps, 1988-2018
This dataset provides the annual period of snowpack melting (i.e., snow melt duration, SMD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. SMD is the number of days between the main melt onset date (MMOD) and the last day of seasonal snow cover when the melting of snow is complete. These dates were derived from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). This dataset documents variability in SMD across space and the 31-year temporal period. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies.
SPURS-2 Passive Accoustic Listener (PAL) data from ARGO float deployments during the E. Tropical Pacific field campaign
The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth (CTD) profiles from the upper 2000m. Four of the Twenty five floats deployed during SPURS-2 within the campaign spatial domain and time period were additionally equipped with acoustic rain gauges (PAL - Passive Acoustic Listeners). SPURS-2 ARGO-PAL data files are in netCDF/CF-compliant data format and organized per float. Float identifiers associated with ARGO CTD data are referenced in the metadata of the related PAL files.
CLPX-Ground: Ground Based Passive Microwave Radiometer (GBMR-7) Data, Version 1
This data set contains brightness temperature observations of the snow cover at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in Fraser, Colorado, USA.
Active and Passive Demethylation of Male and Female Pronuclear DNA in the Mammalian Zygote
GEO Series GSE56650. Mus musculus. 16 samples. Type: Methylation profiling by high throughput sequencing.
Dissection of the F. graminearum transcriptome in response to an active or passive host identifies new pathogen-specific genes.
GEO Series GSE72124. Fusarium graminearum PH-1. 8 samples. Type: Expression profiling by high throughput sequencing.
Passive Infusion of an S2-Stem Broadly Neutralizing Antibody protects against SARS-CoV-2 infection and lower airway inflammation
GEO Series GSE283190. Macaca mulatta. 41 samples. Type: Expression profiling by high throughput sequencing; Other.
Lack of allergy to timothy grass pollen is not a passive phenomenon but associated with allergen specific modulation of immune reactivity
GEO Series GSE70050. Homo sapiens. 76 samples. Type: Expression profiling by high throughput sequencing.
Passive shaping of intra- and intercellular m6A dynamics via mRNA metabolism
GEO Series GSE272629. Mus musculus; Homo sapiens. 128 samples. Type: Expression profiling by high throughput sequencing; Other.
Volatile organic compounds from Bacillus, Serratia and Pseudomonas promote growth and alter the transcriptional landscape of Solanum tuberosum in a passively-ventilated growth system
GEO Series GSE160297. Solanum tuberosum. 12 samples. Type: Expression profiling by high throughput sequencing.
Xie_et_al raw data for ' Vertcal Inhomogeneity Effect of Frozen Hydrometeor Habits in All-sky Passive Microwave Simulations'
<p>Raw Data</p> <p>'Inhomogeneity Effect of Frozen Hydrometeor Habits in All-sky Passive Microwave Simulations'</p>
Passive Discrete Lens for broadband elastic guided wave focusing
<pre>The videos present the wave propagation obtained numerically and experimentally in a plate using a passive discrete GRIN lens composed of 7 segments.</pre>
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.