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176 results for “evaporation”
Data from: Empirical estimation of skin resistance to water loss in amphibians: agar evaluation as a non-resistance model to evaporation
<p>Total resistance (R<sub>T</sub>) to evaporative water loss (EWL) in amphibians is given by the sum of the boundary layer (<em>r</em><sub>b</sub>) and the skin resistance (<em>r</em><sub>s</sub>). Thus, <em>r</em><sub>s</sub> can be determined if the <em>r</em><sub>b</sub> component is defined (<em>r</em><sub>s</sub> = R<sub>T</sub> - <em>r</em><sub>b</sub>). The use of agar models has become the standard technique to estimate <em>r</em><sub>b</sub> under the assumption that agar surface imposes no barrier to evaporation (<em>r<sub>s</sub></em> = 0). We evaluated this assumption by determining EWL rates and <em>r</em><sub>b</sub> values from exposed surfaces of free water, a physiological solution mimicking the osmotic properties of a generalized amphibian, and agar gels prepared at various concentrations either using water or physiological solution as diluent. Water evaporation was affected by both, the presence of solutes and agar concentration. Models prepared with agar at 5% concentration in water provided the most practical and appropriate proxy for the estimation of <em>r</em><sub>b</sub>.</p> <p> </p> <p> </p>
Evaluation of a wind tunnel designed to investigate the response of evaporation to changes in the incoming longwave radiation at a water surface. Part I and II
<p>Data in spreadsheet format for wind tunnel evaporation experiments 2019-2022.</p>
Modeling the Soil Evaporation Loss in Typical Subtropical Secondary Forests-A Changsha Case Study
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Declining soil evaporation on a drying earth
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Reproduction package for the paper: "Cold day-side winds shape large leading streams in evaporating exoplanet atmospheres"
<p>Supplementary material for the paper "Cold day-side winds shape large leading streams in evaporating exoplanet atmospheres" by Nail et al. (2024). <br><br>We provide the results of the 3D hydrodynamic simulation with Athena++, with key files including the input file and a snapshot from the simulation taken after 8 orbits for all models discussed in the paper. The post-processing is performed using a radiative transfer code found in the "post-process_HAT67" folder. This code, described by MacLeod & Oklopcic (2022), produces synthetic spectra from the simulation snapshots and has been enhanced for precise calculations in high-density regions. Additionally, a Jupyter notebook demonstrates how to analyze the data and create the figures presented in the paper.</p> <p>Note: In the new version of the paper, we use "dtaui = d['nhe3'] * d['dr'] * csi * Voigt(nu_cell, da1, natural_gamma)" in the Figures.ipynb notebook in cell 42. </p>
Body temperature, evaporative water loss and resting metabolic rate data for six southern African bats
<p><span>1. The microsites that animals occupy during the rest phase of their circadian activity cycle influence their physiology and behaviour, but relatively few studies have examined correlations between interspecific variation in thermal physiology and roost microclimate. Among bats, there is some evidence</span> that species exposed to high roost temperatures (<i>T<sub>roost</sub></i>) possess greater heat tolerance and evaporative cooling capacity, but<span> the small number of species for which both thermal physiology and roost microclimate data exist mean that the generality of this pattern remains unclear. </span></p> <p>2. Here, we test the hypothesis that bat heat tolerance and evaporative cooling capacity have co-evolved with roost preferences. We predicted that species occupying roosts poorly buffered from high outside environmental temperature exhibit higher heat tolerance and evaporative cooling capacity compared to species inhabiting buffered roosts in which <i>T<sub>roost</sub></i> remains well below outside conditions.</p> <p>3. We used flow-through respirometry to investigate thermoregulation at air temperatures (<i>T</i><sub>a</sub>) approaching and exceeding normothermic body temperature (<i>T</i><sub>b</sub>) among six <span>species with broadly similar body mass but differing in roost microclimate (hot <i>versus</i> cool roosts). We combined these data with empirical measurements of <i>T</i><sub>roost</sub> for each study population.</span></p> <p>4. Hot-roosting species tolerated <i>T</i><sub>a</sub> ~4 °C higher than cool-roosting bats before the onset of loss of coordinated locomotion and non-regulated hyperthermia. The evaporative scope [i.e., ratio of maximum evaporative water loss (EWL) to minimum thermoneutral EWL] of hot-roosting species (<span><span>16.1 </span></span>± 2.4) was substantially higher than that of cool-roosting species (<span><span>5.9 </span></span>± 2.4). Maximum evaporative cooling capacities (i.e., evaporative heat loss / metabolic heat production) of <span><span>hot-roosting species were > 2, while the corresponding values for cool-roosting species were ≤1. </span></span></p> <p>5. The greater heat tolerance and higher evaporative cooling capacity of hot-roosting species compared with those occupying cooler roosts reveal variation in bat evaporative cooling capacity correlated with roost microclimate, supporting the hypothesis that thermal physiology has co-evolved with roost preference.</p>
Treatment of Meibomian Gland Dysfunction and Evaporative Dry Eye
ClinicalTrials.gov study NCT00832130. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Non-pharmaceutical Treatments for Evaporative Dry Eye
ClinicalTrials.gov study NCT05923528. IPD Sharing: YES. Countries: 0. Publications: 14.
Comparison of Tear Evaporation Rate With Systane Complete in Dry Eye and Non-Dry Eye
ClinicalTrials.gov study NCT04091581. IPD Sharing: NO. Countries: 1. Publications: 0.
Topical Ophthalmic AGN-195263 for the Treatment of Evaporative Dry Eye
ClinicalTrials.gov study NCT02965846. IPD Sharing: Not stated. Countries: 12. Publications: 0.
Comparison of Tear Evaporation Rate With DAILIES TOTAL1 and Biotrue ONEday
ClinicalTrials.gov study NCT04037969. IPD Sharing: NO. Countries: 1. Publications: 0.
Investigating iLux Efficacy in Contact Lens Wearers With Evaporative Dry Eye Disease
ClinicalTrials.gov study NCT04159935. IPD Sharing: NO. Countries: 1. Publications: 0.
Topical Ophthalmic AGN-195263 for the Treatment of Evaporative Dry Eye
ClinicalTrials.gov study NCT02815293. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Interspecific variation in evaporative water loss and temperature response, but not metabolic rate, among hibernating bats
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Body temperature, evaporative water loss and resting metabolic rate data for six southern African bats
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Incorporating evaporative water loss into bioenergetic models of hibernation to test for relative influence of host and pathogen traits on white-nose syndrome
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Urban rooftop-nesting Common Nighthawk chicks tolerate high temperatures by hyperthermia with relatively low rates of evaporative water loss
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Data from: The environmental determinants of total evaporative water loss in birds at multiple temperatures
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Data from: Establishment of the falling film evaporation model and correlation of the overall heat transfer coefficient
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ECOSTRESS Gridded Evaporative Stress Index PT-JPL Instantaneous L4 Global 70 m V002
The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found on the [ECOSTRESS website](https://ecostress.jpl.nasa.gov/science).The ECOSTRESS Gridded Evaporative Stress Index PT-JPL Instantaneous L4 Global 70 m (ECO_L4G_ESI) Version 2 data product uses the Priestley-Taylor Jet Propulsion Laboratory Soil Moisture (PT-JPL-SM) model to generate estimates of both actual and potential instantaneous evapotranspiration (ET). The potential evapotranspiration (PET) estimate represents the maximum expected ET if there were no water stress to plants on the ground. The ratio of the actual ET estimate to the PET estimate forms an index representing the water stress of plants.The ECO_L4G_ESI Version 2 data product is available globally and is projected to a globally snapped 0.0006° grid with a 70 meter spatial resolution and is distributed in HDF5. Each granule contains layers of Evaporative Stress Index (ESI), PET, cloud mask, and water mask. A low-resolution browse is also available showing daily ESI as a stretched image with a color ramp in JPEG format.Known Issues* Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU, and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach, only Thermal Infrared (TIR) bands 2, 4, and 5 are being downloaded. The data products are the same as before, but the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023.* Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.* Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.* Solar Array Obstruction: Some ECOSTRESS scenes may be affected by solar array obstructions from the International Space Station (ISS), potentially impacting data quality of obstructed pixels. The 'FieldOfViewObstruction' metadata field is included in all Version 2 products to indicate possible obstructions: * Before October 24, 2024 (orbits prior to 35724): The field is present but was not populated and does not reliably identify affected scenes. * On or after October 24, 2024 (starting with orbit 35724): The field is populated and generally accurate, except for late December 2024, when a temporary processing error may have caused false positives. * A [list of scenes](https://lpdaac.usgs.gov/documents/2249/obst_all.sort.gz) confirmed to be affected by obstructions is available and is recommended for verifying historical data (before October 24, 2024) and scenes from late December 2024.* The ISS native pointing information is coarse relative to ECOSTRESS pixels, so ECOSTRESS geolocation is improved through image matching with a basemap. Metadata in the L1B_GEO file shows the success of this geolocation improvement, using categorizations "best", "good", "suspect", and "poor". We recommend that users use only "best" and "good" scenes for evaluations where geolocation is important (e.g., comparison to field sites). For some scenes, this metadata is not reflected in the higher-level products (e.g., land surface temperature, evapotranspiration, etc.). While this metadata is always available in the geolocation product, to save users additional download, we have produced a [summary text file](https://lpdaac.usgs.gov/documents/2253/qa_20250423-present.txt) that includes the geolocation quality flags for all scenes from launch to present. At a later date, all higher-level products will reflect the geolocation quality
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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)
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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.