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3,206 results for “property (T)”
Zillow property-level data panel for select California cities – before and after 2020
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Vector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology
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Bacterial properties in discrete water column samples collected during Palmer LTER station seasons at Palmer Station Antarctica, 2002 - 2019.
The microbial biogeochemistry component of PAL focuses on marine bacterioplankton, and is thus a counterpart to the phytoplankton and zooplankton components, which together provide a detailed and comprehensive description of plankton ecology in PAL-LTER. Bacteria and Archaea (hereafter called "bacteria") are taxonomically and metabolically diverse. In coastal and offshore surface waters Bacteria generally predominate over Archaea, but Archaea are equal or greater in abundance in the mesopelagic layer below the euphoric zone. We focus on aerobic, heterotrophic bacteria in the upper 65 m at Palmer Station which oxidize recently-produced low molecular weight dissolved organic compounds released by phytoplankton and zooplankton, decomposing them back into CO2 and inorganic nutrients. Globally, marine bacteria respire an amount of carbon roughly equal to about half the daily photosynthetic production. In cold polar waters, relative bacterial activity is lower, with bacterial biomass production being equal to <5% of the daily photosynthesis. The ratio at lower latitudes is 10-20%. The factors responsible for this contrast are not entirely clear. Resolving this pattern is a key aim of the PAL microbial component. At Palmer Station, bacterial production is low (< 10 mgC/m2/d) in the winter (polar night) when there is little if any photosynthesis. There is a climatological (2003-14 average) summer peak of 50-60 mgC/m2/d in January-February but with considerable seasonal and annual variability. The 2016/2017 season data contains bacteria abundances for preserved samples for comparison to abundances from live samples. See the documentation for this in the accompanying file, 2016_live_vs_preserved.pdf.
Bacterial properties in discrete water column samples at selected depths, collected aboard Palmer LTER annual cruises off the coast of the Western Antarctica Peninsula, 2003 - 2019.
The microbial biogeochemistry component of PAL focuses on marine bacterioplankton, and is thus a counterpart to the phytoplankton and zooplankton components, which together provide a detailed and comprehensive description of plankton ecology in PAL-LTER. Bacteria and Archaea (hereafter called "bacteria") are taxonomically and metabolically diverse. In coastal and offshore surface waters Bacteria generally predominate over Archaea, but Archaea are equal or greater in abundance in the mesopelagic layer below the euphoric zone. We focus on aerobic, heterotrophic bacteria in the upper 100 m on the annual summer cruise. These bacteria oxidize recently-produced low molecular weight dissolved organic compounds released by phytoplankton and zooplankton, decomposing them back into CO2 and inorganic nutrients. Globally, marine bacteria respire an amount of carbon roughly equal to about half the daily photosynthetic production. In cold polar waters, relative bacterial activity is lower, with bacterial biomass production being equal to <5% of the daily photosynthesis. The ratio at lower latitudes is 10-20%. The factors responsible for this contrast are not entirely clear. Resolving this pattern is a key aim of the PAL microbial component. Bacterial production is generally low across the grid, relative to primary production, but with considerable spatial and annual variability. Discrete BP can reach >200mgC/m2/d following bloom-fueled high organic matter events. Across the grid and over years, BP is highly correlated with chlorophyll, highlighting the close relationship with phytoplanktonic organic matter production.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 1 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 1 (PREFIRE_SAT1_2B-ATM) contains several geophysical variables, such as atmospheric temperature and water content, derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-ATM contains column water vapor, temperature, pressure, and water vapor profiles, surface temperature, and surface pressure as derived from PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data using an Optimal Estimation retrieval via a Radiative Transfer Model with inputs from PREFIRE_SAT1_2B-MSK (cloud mask), PREFIRE_SAT1_AUX-MET, and PREFIRE_SAT1_SFC. Science data retrieval started July 24, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The atmospheric properties data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-ATM collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Cloud Properties from PREFIRE Satellite 1 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Cloud Properties (PREFIRE_SAT1_2B-CLD) contains cloud properties derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-CLD contains cloud top pressure, cloud optical depth, and cloud particle diameter as derived from PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT1_2B-MSK (cloud mask) and PREFIRE_SAT1_AUX-MET (Auxiliary Meteorlogy). The primary purpose of PREFIRE_SAT1_2B-CLD is to provide cloud properties information for the PREFIRE_SAT1_2B-FLX (spectral flux) product, which requires only enough accuracy for a coarse look-up table. This data collection is not suitable for an analysis of specific cloud properties.Science data retrieval started July 24, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The cloud properties data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-CLD collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 1 COG R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 1 COG (PREFIRE_SAT1_2B-ATM_COG) is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-ATM_COG contains Cloud-Optimized GeoTIFF (COG) files that each contain a georeferenced rendering of retrieved column water vapor (CWV) values. Those CWV data values are computed from a single granule of PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT1_2B-MSK (cloud mask), PREFIRE_SAT1_AUX-MET, and PREFIRE_SAT1_2B-SFC. The retrieved CWV values are only available for clear-sky conditions. As part of the rendering process, mean retrieved CWV values are computed for a global grid of raster elements (each approximately 2.23 km in width), based on which raster elements each PREFIRE ground footprint overlaps. This procedure is done in order to better visualize the PREFIRE data despite substantial overlap of adjacent along-track ground footprints – but it is important to remember that the individual PREFIRE ground footprints are much bigger (by about 80x, in terms of area) than each of the GeoTIFF raster elements. These cloud-optimized GeoTIFF images may be viewed using many geographic information systems (GIS), such as the freely available QGIS.Science data retrieval started July 24, 2024 and is ongoing. Currently, the geographic coverage is for latitudes between approximately 60° to 84° in both polar regions, although future releases may include data for all latitudes equatorward of about 84°. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each TIRS-PREFIRE. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was about 264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint and swath sizes will slowly become smaller as the orbit altitude decreases with time.Similar CWV GeoTIFF renderings for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-ATM_COG collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Cloud Properties from PREFIRE Satellite 2 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Cloud Properties (PREFIRE_SAT2_2B-CLD) contains cloud properties derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-CLD contains cloud top pressure, cloud optical depth, and cloud particle diameter as derived from PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT2_2B-MSK (cloud mask) and PREFIRE_SAT2_AUX-MET (Auxiliary Meteorlogy). The primary purpose of PREFIRE_SAT2_2B-CLD is to provide cloud properties information for the PREFIRE_SAT2_2B-FLX (spectral flux) product, which requires only enough accuracy for a coarse look-up table. This data collection is not suitable for an analysis of specific cloud properties.Science data retrieval started June 29, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The cloud properties data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-CLD collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 2 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 2 (PREFIRE_SAT2_2B-ATM) contains several geophysical variables, such as atmospheric temperature and water content, derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-ATM contains column water vapor, temperature, pressure, and water vapor profiles, surface temperature, and surface pressure as derived from PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data using an Optimal Estimation retrieval via a Radiative Transfer Model with inputs from PREFIRE_SAT2_2B-MSK (cloud mask), PREFIRE_SAT2_AUX-MET, and PREFIRE_SAT2_SFC. Science data retrieval started June 29, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The atmospheric properties data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-ATM collection.
Figure 5 from: Chaban T, Ogurtsov V, Mahlovanyy A, Sukhodolska N, Chaban I, Harkov S, Matiychuk V (2019) Antioxidant properties of some novel derivatives thiazolo[4,5-b] pyridine. Pharmacia 66(4): 171-180. https://doi.org/10.3897/pharmacia.66.e36764
Figure 5 Synthesis of potassium salt of 3-(5-mercapto-[1,3,4]oxodiazole-2-yl-methyl)-5,7-dimethyl-3H-thiazolo[4,5-b]pyridine-2-one and S-substituted 3-(5-mercapto-[1,3,4]oxodiazole-2-yl-methyl)-5,7-dimethyl-3H-thiazolo[4,5-b]pyridine-2-ones.
Figure 4 from: Chaban T, Ogurtsov V, Mahlovanyy A, Sukhodolska N, Chaban I, Harkov S, Matiychuk V (2019) Antioxidant properties of some novel derivatives thiazolo[4,5-b] pyridine. Pharmacia 66(4): 171-180. https://doi.org/10.3897/pharmacia.66.e36764
Figure 4 Synthesis of N-[5-(4-arylidene)-4-oxo-2-thioxo-thiazolydine-3-yl]-2-(5,7-dimethyl-2-oxo-thiazolo[4,5-b]pyridine-3-yl)-acetamides.
Figure 3 from: Chaban T, Ogurtsov V, Mahlovanyy A, Sukhodolska N, Chaban I, Harkov S, Matiychuk V (2019) Antioxidant properties of some novel derivatives thiazolo[4,5-b] pyridine. Pharmacia 66(4): 171-180. https://doi.org/10.3897/pharmacia.66.e36764
Figure 3 Resynthesis of 3-(5-mercapto-[1,3,4]oxodiazole-2-yl-methyl)-5,7-dimethyl-3H-thiazolo[4,5-b]pyridine-2-one and 2-(5,7-dimethyl-2-oxo-thiazolo[4,5-b]pyridine-3-yl)-N-(4-oxo-2-thioxo-thiazolydine-3-yl)-acetamide.
Figure 2 from: Chaban T, Ogurtsov V, Mahlovanyy A, Sukhodolska N, Chaban I, Harkov S, Matiychuk V (2019) Antioxidant properties of some novel derivatives thiazolo[4,5-b] pyridine. Pharmacia 66(4): 171-180. https://doi.org/10.3897/pharmacia.66.e36764
Figure 2 Synthesis of hetarylsulfanyl derivatives of N'-(5,7-dimethyl-2-oxo-thiazolo[4,5-b]pyridine-3-yl)-acetyl hydrazide acetic acid under the alkylation reaction.
Figure 1 from: Chaban T, Ogurtsov V, Mahlovanyy A, Sukhodolska N, Chaban I, Harkov S, Matiychuk V (2019) Antioxidant properties of some novel derivatives thiazolo[4,5-b] pyridine. Pharmacia 66(4): 171-180. https://doi.org/10.3897/pharmacia.66.e36764
Figure 1 Synthesis of N'-[2-(5,7-dimethyl-2-oxo-thiazolo[4,5-b]pyridine-3-yl)-acetyl] carboxylic acids hydrazides under the acylation reaction.
Chitoporin from Vibrio cholerae O1: single-channel properties, sugar specificity and role in adaptive survival of the bacteria
<p>Mass identification data for VcChiP from Vibrio cholerae. The data are included in the article under consideration for publication in JBC (Reference number JBC/2020/012921R1).</p>
South Dakota Ag Land Soil Tables--Property Assessment
<p>The <a href="http://agland.sdstate.edu/Soil_Tables/">Ag land soil tables </a> displays data that is used to make baseline agricultural land assessments for property tax purposes in South Dakota. Users can hover over the points in the generated map to view the soil data. Users can also zoom and pan over the map to examine the soil data and background aerial imagery in more detail. Users can filter the points that are displayed on the map by the Land Capability Class of the soil by selecting or deselecting the boxes numbered 1-8 above or by selecting a specific soil name to map. Users can change the color bar of the map points by selecting the variable of interest. The soil data can be downloaded as a .csv or Excel file by selecting the upper tabs (i.e. Table 1, Table 2, and Additional Data). An article describing the background of the research and methods can be found in <a href="http://www.choicesmagazine.org/choices-magazine/submitted-articles/a-change-in-highest-and-best-use-policy-in-south-dakota-has-a-sizable-impact-on-agricultural-land-assessments">Choices Magazine</a> .</p>
Influences of reinforcement and displacement rate on microstructure, mechanical properties and fracture behaviors of cylinder-head aluminum alloy
<p>In the present work, the material microstructure, mechanical properties and fracture behaviors of cylinder-head aluminum alloys were experimentally investigated under different displacement rates and with and without the reinforcement. By the addition of nano-clay-particles and the heat treatment, it was tried to improve mechanical properties of the base material. For this objective, after the fabrication of as-cast and nano-composite samples, respectively by gravity and stir-casting; tensile testing was done on standard samples at the displacement rate of 0.1, 1 and 10 mm/min. Then, the sensitivity analysis was performed on experimental data to find quantitatively effects of two parameters of the reinforcement and the displacement rate. In addition, the optical microscopy and the field-emission scanning electron microscopy were utilized for the microstructure and the fracture surface, plus the energy dispersive X-ray analysis. Obtained results indicated that the microstructure of the aluminum alloy was finer due to the reinforcement. Besides, both the ultimate strength and the elongation enhanced. The regression analysis implied that the strength was sensitive only to the reinforcement. Although the elongation was sensitive to both the reinforcement and the displacement rate. Investigations of fracture surfaces showed brittle behaviors with cleavage and quasi-cleavage marks.</p>
Data from: Structural and catalytic properties of copper silicate nanomaterials
<p><span>Nanosized copper silicates with three different structural morphology (amorphous, nanotubes and MEL) were prepared using different synthesis methods. The physico-chemical properties of copper silicates were characterized by XRD, FT-IR, SEM, HRTEM, N<sub>2</sub>-physisorption, XPS and H<sub>2</sub>-TPR techniques. The results indicated that the preparation conditions affect reduction behavior and textural properties of nanosized copper silicates. Hydrothermal synthesis method yielded chrysocolla-like CuSiO<sub>3</sub> nanotubes, which possessed high surface area and pore volume with easy reducibility. The catalytic performances of synthesized copper silicate nanostructures were evaluated for dehydrogenation of methanol.<b> </b>It was found that dehydrogenation activity is depended on the structural properties of copper silicates. Highest activity was observed for copper silicates with nanotube morphology. Catalytic dehydrogenation activity of copper silicates was also related to presence of more number of Cu-O-Si species, easy reducibility and Lewis acid centers. The CuSiO<sub>3</sub> nanotubes sample also exhibited good stability under investigated reaction conditions that deactivation was not detected for 48 h.</span></p>
The properties of calcium carbonate-rich soils from Kacwin village (South Poland)
<p>The presented dataset contain the raw data concerning mineralogical, micromorphological and geochemical properties of the calcium carbonate-rich soils from Kacwin village (South Poland). Additionally, the selected chemical properties and particle size distribution have been shown.</p>
Figure 4 from: Yoncheva K, Hristova-Avakumova N, Hadjimitova V, Traykov T, Petrov P (2020) Evaluation of physicochemical and antioxidant properties of nanosized copolymeric micelles loaded with kaempferol. Pharmacia 67(2): 49-54. https://doi.org/10.3897/pharmacia.67.e38648
Figure 4 DPPH and anion superoxide scavenge capacity of free kaempferol (KF) and micellar kaempferol; (a) KF-PDMAEMA13-b-PPO69-b-PDMAEMA13 micelles, (b) KF-PDMAEMA9-b-PCL70-b-PDMAEMA9 micelles. Mean ± SD (n=3).
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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.