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54 results for “Potential temperature”
Data and model scripts for "Non-structural carbohydrate dynamics associated with antecedent stem water potential and air temperature in a dominant desert shrub"
<p>Model code and data as used in the first revision submitted to Plant, Cell and Environment, Feb. 2020. </p> <p>Models are coded in JAGS or OpenBUGS and run in R. Three related models are presented:</p> <p>1) "mod_allometry.R" and "jags_allometry.R" run the aboveground biomass allometry model described in Methods S1, utilizing stem and leaf mass data ("data_allometry.Rdata") and the associated initial values ("inits_allometry.Rdata")</p> <p>2) "mod_predawn.R" and "bugs_predawn.R" run the gap-filling model described in Methods S2, utilizing predawn water potential data ("data_predawn.Rdata") and the associated initial values ("inits_predawn.Rdata")</p> <p>3) "mod_NSC.R" and "bugs_NSC.R" run the NSC model described in the main text of the manuscript, utilizing NSC and covariate data ("data_NSC.Rdata") and the associated initial values ("inits_NSC.Rdata")</p>
Data from: Quantifying the effects of temperature on mosquito and parasite traits that determine the transmission potential of human malaria
Malaria transmission is known to be strongly impacted by temperature. Current understanding of how temperature affects mosquito and parasite life history traits derives from a limited number of empirical studies. These studies, some dating back to the early part of last century, are often poorly controlled, have limited replication, explore a narrow range of temperatures and use a mixture of parasite and mosquito species. Here, we use a single pairing of the Asian mosquito vector, Anopheles stephensi and the human malaria parasite, Plasmodium falciparum to conduct a comprehensive evaluation of the thermal performance curves of a range of mosquito and parasite traits relevant to transmission. We show biting rate, adult mortality rate, parasite development rate and vector competence all to be temperature sensitive. Importantly, we find qualitative and quantitative differences to the assumed temperature-dependent relationships. To explore the overall implications of temperature for transmission we first use a standard model of relative vectorial capacity. This approach suggests a temperature optimum for transmission of 29ºC, with minimum and maximum temperatures of 12 and 38ºC, respectively. However, the robustness of the vectorial capacity approach is challenged by the fact that the empirical data violate several of the model's simplifying assumptions. Accordingly, we present an alternative model of relative force of infection that better captures the observed biology of the vector-parasite interaction. This model suggests a temperature optimum for transmission of 26ºC, with a minimum and maximum of 17 and 35ºC, respectively. The differences between the models lead to potentially divergent predictions for the potential impacts of current and future climate change on malaria transmission. The study provides a framework for more detailed, system-specific studies that are essential to develop an improved understanding on the effects of temperature on malaria transmission.
Data from: Local adaptation and evolutionary potential along a temperature gradient in the fungal pathogen Rhynchosporium commune
To predict the response of plant pathogens to climate warming, data are needed on current thermal adaptation, the pathogen's evolutionary potential and the link between them. We conducted a common garden experiment using isolates of the fungal pathogen Rhynchosporium commune from nine barley populations representing climatically diverse locations. Clonal replicates of 126 genetically distinct isolates were assessed for their growth rate at 12°C, 18°C and 22°C. Populations originating from climates with higher monthly temperature variation had higher growth rate at all three temperatures compared to populations from climates with less temperature fluctuation. Population differentiation in growth rate (Q_ST) was significantly higher at 22°C than population differentiation for neutral microsatellite loci (G_ST), consistent with local adaptation for growth at higher temperatures. At 18°C we found evidence for stabilizing selection for growth rate as Q_ST was significantly lower than G_ST. Heritability of growth rate under the three temperatures was substantial in all populations (0.58-0.76). Genetic variation was lower in populations with higher growth rate at the three temperatures and evolvability increased under heat stress in seven out of nine populations. Our findings imply that the distribution of this pathogen is unlikely to be genetically limited under climate warming, due to its high genetic variation and plasticity for thermal tolerance.
Data from: Local adaptation and evolutionary potential along a temperature gradient in the fungal pathogen Rhynchosporium commune
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Data from: Low evolutionary potential for egg-to-adult viability in Drosophila melanogaster at high temperatures
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Data from: Quantifying the effects of temperature on mosquito and parasite traits that determine the transmission potential of human malaria
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ATMOS L2 Trace Gases on Potential Temperature Grid, Fixed Field Format V3 (ATMOSL2TF) at GES DISC
This is the version 3 Atmospheric Trace Molecule Spectroscopy (ATMOS) Level 2 product containing trace gases on a vertical potential temperature (theta) grid with data stored in an ASCII table using a FORTRAN friendly fixed field format. ATMOS is an infrared spectrometer (a Fourier transform interferometer) designed to derive vertical concentrations of various trace gases in the atmosphere, particularly the ozone depleting chlorine and fluorine based molecules. Measured species include: H2O, CO2, O3, N2O, CO, CH4, NO and NO2 (both diurnally and not diurnally corrected), HNO3, HF, HCl, OCS, H2CO, HOCl, H2O2, HO2NO2, N2O5, ClONO2, HCN, CH3F, CH3Cl, CF4, CCl2F2, CCl3F, CCl4, COF2, C2H6, C2H2, N2, CHF2Cl, HCOOH, HDO, SF6 and CH3D reported at 53 levels from 280 to 3950 K. Data files also include time, geolocation and other information.The data were collected during four space shuttle missions: STS-51B/Spacelab-3 (April 30 to May 1, 1985), STS-45/ATLAS-1 (March 25 to April 2, 1992), STS-55/ATLAS-2 (April 8 to 16, 1993), and STS-66/ATLAS-3 (November 3 to 12, 1994). Data are written to separate files grouped by mission (sl3, at1, at2 or at3), and occultation type (sunrise or sunset) and number.A similar product (ATMOSL2TT) exists that contains these same data in a spreadsheet friendly tab delimited format.
ATMOS L2 Trace Gases on Potential Temperature Grid, Tab Delimited Format V3 (ATMOSL2TT) at GES DISC
This is the version 3 Atmospheric Trace Molecule Spectroscopy (ATMOS) Level 2 product containing trace gases on a vertical potential temperature (theta) grid with data stored in an ASCII table using a spreadsheet friendly tab delimited format. ATMOS is an infrared spectrometer (a Fourier transform interferometer) designed to derive vertical concentrations of various trace gases in the atmosphere, particularly the ozone depleting chlorine and fluorine based molecules. Measured species include: H2O, CO2, O3, N2O, CO, CH4, NO and NO2 (both diurnally and not diurnally corrected), HNO3, HF, HCl, OCS, H2CO, HOCl, H2O2, HO2NO2, N2O5, ClONO2, HCN, CH3F, CH3Cl, CF4, CCl2F2, CCl3F, CCl4, COF2, C2H6, C2H2, N2, CHF2Cl, HCOOH, HDO, SF6 and CH3D reported at 53 levels from 280 to 3950 K. Data files also include time, geolocation and other information.The data were collected during four space shuttle missions: STS-51B/Spacelab 3 (April 30 to May 1, 1985), STS-45/ATLAS-1 (March 25 to April 2, 1992), STS-55/ATLAS-2 (April 8 to 16, 1993), and STS-66/ATLAS-3 (November 3 to 12, 1994). Data are written to separate files grouped by mission (sl3, at1, at2 or at3), and occultation type (sunrise or sunset) and number.A similar product (ATMOSL2TF) exists that contains these same data in a FORTRAN friendly fixed field format.
Sis1 potentiates the stress response to protein aggregation and elevated temperature
GEO Series GSE151215. Saccharomyces cerevisiae. 12 samples. Type: Expression profiling by high throughput sequencing.
Potential biomarker genes for acute and gradual temperature stress in maraena whitefish Coregonus lavaretus
GEO Series GSE95422. Salmo salar; Coregonus lavaretus. 24 samples. Type: Expression profiling by array.
Sample dataset for 'Numerical Evaluation on the Potential of Temperature-Sensitive Nanoparticle Tracers in Enhanced Geothermal Systems'
<p>The archive contains the input-file and output results for an exemplary simulation using our in-house codes which are built on the finite element simulator-PorousFlow module within the MOOSE framework.<br>These results are the basis for the reproduction of the Figures 2, 3(a), 4((a) and (b)), 5(a1), 6(a1), 10(c1) and 11(c1) of the manuscript entiteled:<br>'Numerical Evaluation on the Potential of Temperature-Sensitive Nanoparticle Tracers in Enhanced Geothermal Systems' submitted to Water Resources Research. </p>
DE 1 Retarding Ion Mass Spectrometer (RIMS) Low Channel, H+ and He++, and High Channel, He+, O+, and O++, Density, Temperature, and Electric Potential, 1 min Data
The Data were provided by Dennis Gallagher, MSFC. The Retarding Ion Mass Spectrometer, RIMS, consisted of a Retarding Potential Analyzer for Energy Analysis in Series with a Magnetic Ion-Mass Spectrometer for Mass Analysis. Multiple Sensor Heads permitted the Determination of the Thermal Plasma Flow Characteristics. This Instrument was designed to operate in two basic Commandable Modes: a High-Altitude mode in which the Density, Temperature, and Bulk Flow Characteristics of principally H+, He+, and O+ Ions were measured, and a Low-Altitude Mode that concentrated on the Composition in the 1-u to 32-u Range. This Investigation provided Information on: (1) The Densities of H+, He+, and O+ Ions in the Ionosphere, Plasmasphere, Plasma Trough, and Polar Cap including the Density Distribution along the Magnetic Vector in the Vicinity of the Satellite Apogee (2) The Temperature of H+, He+, and O+ Ions in the Ionosphere, Plasmasphere, Plasma Trough, and Polar Cap in the Energy Range from 0 eV to 45 eV (3) The Bulk Flow Velocities of H+, He+, and O+ in the Plasmapause, Plasma Trough and Polar Cap (4) The changing Character of the Cold Plasma Density, Temperature, and Bulk Flow in Regions of Interaction with Hot Plasma such as at the Boundary between the Plasmasphere and the Ring Current (5) The detailed Composition of Ionospheric Plasma in the Range from 1-u to 32-u He++ and O++ were also measured. The Instrument consisted of three Detector Heads. One looked out in the Radial Direction, and the other two looked out along the Plus and Minus Spin Axis Directions. Each Detector had a 55° half-cone Acceptance Angle. The Detector Heads had a gridded, weakly collimating Aperture where the Retarding Analysis was performed, followed by a Parallel Plate Ceramic Magnetic Mass Analyzer with two separate Exit Slits corresponding to Ion Masses in the Ratio 1:4. Ions exiting from these Slits were detected with Electron Multipliers. In the Apogee Mode, the Thermal Particle Fluxes were measured while the Potential on a Set of Retarding Grids was stepped through a Sequence of Settings. In the Perigee Mode, the Retarding Grids were grounded and the Detector utilized a Continuous Acceleration Potential Sweep that focused the Mass Ranges from 1 to 8, and 4-u to 32-u. The Time Resolution was 16 ms. Additional Details can be found in C.R. Chappell et al., Space Sci. Instrum., 5(4), 477, 1981. The Criterion for selecting Data Points to be appropriate for fitting include that the Aperature Bias equal to zero must have at least ten or more Non-Zero Points in the RPA Curve. If the Spacecraft Altitude was less that 1.3 Re, the High Voltage Monitor must be turned on, the Maximum Counter Rate Value must at least 5.0, and there must be at least four Points starting from the End of RPA Curve. Find three consecutive Points of increasing Value, reset the End of the RPA Curve to here and make certain that the last Point is one Sigma above the Noise Level (the Points excluded in previous Step). if not, then drop a Point and check the new last Point, continue until the Criteria is met. One must have at least three Points left starting at new End of the selected RPA Curve Stop first Point greater that 80% of the Maximum of Spin Curve. If not found, stop at the last Point that is less than the Maximum. There must be at least three Points left. Change the Curve from the Count Rate Curve to the l**2 Curve. If Number of Points are five or less, then do a Linear Least Squares Fit (LINFIT) to the Data. If the Linear Correlation Coefficient (LCC) greater than 0.8 then the Points will be used, if not, the data set is discarded. If the Number of Points are greater then five, then do a LINFIT to the bottom five and a LINFIT to the top five Points. If there are six or more Points, then apply LINFIT to the middle Set of five Points, saving the LCC and Slope for each Case. If all three LCCs are less than 0.800, then discard the Data Set. Through a Series of Tests, find the Set of five Points with the best LCC Slope Combination. Once the Set of five Points has been selected, add the Rest of the Points one at a time and recompute the LLC with LINFIT, if the LCC gets worse discard the added Point otherwise keep it, do this until all Points are checked. Once this Procedure is completed, the final Set of Points have been determined.
RENU2 Electron Retarding Potential Analyzer (ERPA) Thermal Electron Temperature (Main), (H0), 0.5 ms Data
RENU2 Electron Retarding Potential Analyzer (ERPA) Thermal Electron Temperature (Main)
RENU2 Electron Retarding Potential Analyzer (ERPA) Thermal Electron Temperature (Sub), (H0), 0.5 ms Data
RENU2 Electron Retarding Potential Analyzer (ERPA) Thermal Electron Temperature (Sub)
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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.