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134 results for “surface area”
Ingested Nano- and Microplastic Particle Lengths and Surface Areas, dissected from salp guts, analyzed with Epifluorescence microscopy, collected aboard multiple cruises SEAPLEX in 2009, SKrillEx I in 2014, and SKrillEx II in 2015.
Salps were collected on SKrillEx I and II during nightly transects in 202-μm mesh bongo tows, towed to approximately 200 m depth, and samples were preserved in 5% formaldehyde buffered with sodium tetraborate. We also used zooplankton samples collected on the August 2009 SEAPLEX cruise, where samples were collected using a manta net, 333-μm mesh, towed for 15 minutes at the surface, with samples preserved in 5% formaldehyde buffered with sodium tetraborate. Salps were identified to species, life history phase (oozooid or blastozooid), and measured for zooid length. The length of the stomach was measured, noted for degree of fullness, and dissected from each salp. Dissected salp stomachs were cut in half and placed in 15 mL of Milli-Q water for at least 24 hours to soften and release gut contents. The contents were then vacuum-filtered onto 5-μm pore polycarbonate filters with an additional 70 mL of Milli-Q water to aid in filtration. Those filters were analyzed with modified epifluoresecence microscopy techniques for microplastic particles. All microplastic particles were analyzed for plastic shape, length, surface area, and fluorescence.
Nano- and Microplastic Particle Lengths and Surface Areas, analyzed with Epifluorescence microscopy, collected aboard the student cruise on R/V Falkor (2013).
Surface seawater was collected in stainless steel buckets on a transect from Seattle to Honolulu, in October 2013. Surface seawater samples were filtered on to 5-µm pore polycarbonate filters, and frozen at sea for later analysis. Once back on land, the frozen transparent polycarbonate (PC) filters were filtered on an all-glass apparatus and then imaged with modified epifluorescence microscopy techniques for microplastic particles. All microplastic particles were analyzed for plastic shape, length, surface area, and fluorescence.
CLPX-Satellite: EO-1 Hyperion Surface Reflectance, Snow-Covered Area, and Grain Size, Version 1
This data set consists of apparent surface reflectance, subpixel snow-covered area, and grain size collected from the Hyperion hyperspectral imager. The Hyperion imager has a spectral range of 400-2500 nm, a spectral resolution of 10 nm, spatial resolution of 30 m, and a swath width of 7.8 km. Sampling is scene based (256 samples, 512 lines).
BigFoot Leaf Area Index Surfaces for North and South American Sites, 2000-2003
The BigFoot project gathered leaf area index (LAI) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2003. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. LAI was measured at plots within each site for at least two years using standard direct and optical methods at each site. Direct measurement approaches included periodic area harvest for non-forest sites and application of allometric equations to tree diameter data for forest sites. LAI was also estimated indirectly using the Li-Cor LAI-2000 Plant Canopy Analyzers (Gower et al. 1999). LAI was measured three times each year at the forest sites and four to six times at other sites depending upon the phenology of LAI development for a given ecosystem. To develop LAI surfaces at any given site, the Landsat ETM+ image closest in date to maximum LAI was chosen as a reference and images from other dates radiometrically normalized to it. Each LAI surface has a grain of 25 meters and covers a 7 x 7 km extent. The data set consists of the LAI surface images in standard geotiff format, an accompanying text file which provides metadata specific to the image (such as projection, data type, class names, etc), and associated auxiliary and world files. Additional information on LAI measurements and surface development can be found on the BigFoot website at http://www.fsl.orst.edu/larse/bigfoot/ovr_mthd.html. BigFoot Project Background: Reflectance data from MODIS, the Moderate Resolution Imaging Spectrometer onboard NASA's Earth Observing System (EOS) satellite Terra (http://landval.gsfc.nasa.gov/MODIS/index.php), is used to produce several science products including land cover, leaf area index (LAI) and net primary production (NPP). The overall goal of the BigFoot Project was to provide validation of these products. To do this, BigFoot combined ground measurements, additional high resolution remote sensing data, and ecosystem process models at nine flux tower sites representing different biomes to evaluate the effects of the spatial and temporal patterns of ecosystem characteristics on MODIS products. BigFoot characterized up to a 7 x 7 km area (49 MODIS pixels) surrounding the CO2 flux towers located at each of the nine sites. We collected multi-year, in situ measurements of ecosystem structure and functional characteristics related to the terrestrial carbon cycle. Our sampling design allowed us to examine scales and spatial pattern of these properties, the inter-annual variability and validity of MODIS products, and provided for a field-based ecological characterization of the flux tower footprint. BigFoot was funded by NASA's Terrestrial Ecology Program.
Pre SWOT Hydrology Global Lake/Reservoir Surface Inland Water Area Extent V2
The Global Lake/Reservoir Surface Inland Water Extent Mask Time Series are derived from the MODIS instruments. The purpose of this dataset is to provide surface water dynamics for several hundred lakes and reservoirs throughout the globe, with a base temporal resolution of 8 days and a spatial resolution of 500 meters. With the exception of periods of low-quality input data, these time series will extend across the lifespan of the MODIS multispectral reflectance products, from roughly 2000 to present. These time series will allow us to satisfy the project goal to produce ESDRs of suitable quality to support long-term trend analysis and global water dynamics models for the longest length possible (in most cases, about 20 years, the length of the altimetry record) of key measures of surface water storages and fluxes. This product should be accessible and of direct use to both water managers and the scientific community worldwide, and will allow for improved assessment and modeling of human impact on the global water cycle. These pre SWOT data are derived from satellites to provide hydrological measurements. The Surface Water and Ocean Topography (SWOT) mission will have hydrology as one of its objectives. This dataset does not have the same variables as SWOT, but does provide hydrological measurements with typical quality flagging typical of satellite data. Not only does it provide science information, it can also assist hydrological users new to satellite data with the satellite data formats and variables before SWOT launches.
Neglected very-long-chain hydrocarbons and the incorporation of body surface areas reveal novel perspectives for chemical profile analysis in insects
<p>Most of what we know about insect cuticular hydrocarbons (CHCs) has been informed by analyses with gas-chromatography coupled with mass spectrometry (GC-MS). However, this analysis technique has its limit, particularly in detecting compounds in a chain length range beyond around C40. Here, we attempt to differentiate the range of CHCs detectable by GC-MS with the largely neglected very-long-chain CHC range up to C58 analyzed by silver-assisted laser desorption/ionization mass spectrometry (Ag-LDI-MS), in seven species of the order Blattodea. For all tested species we unveiled a considerable range of very-long-chain CHCs not detectable by traditional GC-MS technology. This strongly suggests that general studies on insect CHCs routinely miss compounds in that range, and we encourage future studies to implement technologies capable of detecting very-long-chain CHCs. Furthermore, we implement 3D scanned insect body surface areas when quantifying CHC amounts per GC-MS, as Ag-LDI-MS is less suited to quantify total CHC contents. Proportional CHC distributions differed considerably when adjusted for body surface areas, suggesting the importance of their consideration. Moreover, correlations between body surface areas and GC-MS assessed CHC amounts were not significant, further hinting the inaccessibility of whole CHC profile ranges by this technique, potentially by missing the clearly present very-long-chain CHCs.</p>
The Relation Between Vitamin D Production and UVB Exposed Body Surface Area
ClinicalTrials.gov study NCT01042197. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Impact of Atrial Fibrosis Surface Area on the Occurrence of Atrial Fibrillation in Patients With Ischemic Stroke of Undetermined Origin: a Prospective Cardiac MRI Pilot Study.
ClinicalTrials.gov study NCT06047782. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Change in Skin Surface Temperature at the Knee Area on Both Sides When Using Mild Moxibustion Manipulation at Mingmen Acupoint With Moxa Stick
ClinicalTrials.gov study NCT05578027. IPD Sharing: YES. Countries: 1. Publications: 0.
Body Surface Area-based vs Concentration-based Dosing of Cisplatin for Hyperthermic Intraperitoneal Chemotherapy (HIPEC) in Women With Advanced Ovarian Cancer
ClinicalTrials.gov study NCT05406674. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Firategrast (SB683699) Surface Area Study in Multiple Sclerosis Patients
ClinicalTrials.gov study NCT00548769. IPD Sharing: Not stated. Countries: 3. Publications: 0.
A New Dosing Regimen for Posaconazole Prophylaxis in Children Based on Body Surface Area
ClinicalTrials.gov study NCT02372357. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Functional Pulmonary Capillary Surface Area in BPA for CTEPH
ClinicalTrials.gov study NCT05719415. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating Surface Area Reduction Using MolecuLight Imaging Device
ClinicalTrials.gov study NCT03181568. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of the Association Between Digital Eye Syndrome With Binocular Vision and the Ocular Surface in Higher Education Students in the Area of Health Technologies
ClinicalTrials.gov study NCT05675475. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Time Delay and Syringe Surface Area on Blood Gas Samples Analysis
ClinicalTrials.gov study NCT06522009. IPD Sharing: YES. Countries: 1. Publications: 0.
Metabolic Syndrome-Associated Periodontal Inflammatory Surface Area
ClinicalTrials.gov study NCT07354815. IPD Sharing: NO. Countries: 1. Publications: 0.
Body Surface Area Prediction Impacts on Ventricular Dilatation Prevalence
ClinicalTrials.gov study NCT06939205. IPD Sharing: NO. Countries: 1. Publications: 0.
Ventilation-perfusion (V/Q) Ratio and Alveolar Surface Area in Preterm Infants
ClinicalTrials.gov study NCT04936477. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Concentration- Versus Body Surface Area-based HIPEC in Colorectal Peritoneal Carcinomatosis' Treatment
ClinicalTrials.gov study NCT03028155. IPD Sharing: NO. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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