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202 results for “water vapor”
NASA Water Vapor Project MEaSUREs (NVAP-M) WEATHER Layered Precipitable Water
NVAP_WEATHER_Layered-Precipitable-Water data set is designed to provide higher spatial and temporal resolution products for use in studies on shorter time scales as well as weather case studies. Land GPS sites were added beginning in 1997. The new NASA Water Vapor Project (NVAP) data sets are produced under the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) program and is named NVAP-M. It supersedes the previous NVAP data set. NVAP-M continues the legacy of providing high-quality, model-independent global estimates of total column and layered water vapor. The use of improved, intercalibrated data sets and algorithms that were not available for the heritage NVAP data set results in an improved and extended water vapor data set that is stable enough for climate research and of a resolution appropriate for studies on smaller spatial and temporal scales. The true value of NVAP-M will be seen in outcomes from applied and research users of the data set in various fields. Some initial NVAP-M findings are presented in Vonder Haar et al. (2012). In addition to the time-dependent artifacts present in the previous NVAP data set, a wealth of new data has become available since the last NVAP processing in 2003. These include an additional SSM/I instrument, additional NOAA satellites, the NASA Earth Observing System (EOS)-Aqua Satellite, which carries the Atmospheric Infrared Sounder (AIRS), as well as water vapor information from Global Positioning System (GPS) satellites. This extension and reprocessing effort increases the temporal coverage from 14 to 22 (1988-2009) years, making the data set more useful and consistent for investigation of the long-term trends which are hypothesized to occur as Earth warms. In addition to the long-standing daily, 1-degree gridded Total Precipitable Water (TPW) and layered Precipitable Water (PW) products, NVAP-M includes additional products geared towards different scientific needs. Three separate processing streams produced products directed towards specific research goals. These are NVAP-M Climate, designed to provide the most stable water vapor data set over time for use in climate applications, and NVAP-M Weather, designed to provide higher spatial and temporal resolution products for use in studies on shorter time scales as well as weather case studies. Additionally, an ocean-only (NVAP-M Ocean) version includes only data from the SSM/I and is intended to mirror other available SSM/I-only water vapor data sets.
NASA Water Vapor Project MEaSUREs (NVAP-M) NVAP WEATHER Total Precipitable Water
NVAP_WEATHER_Total-Precipitable-Water data set is designed to provide higher spatial and temporal resolution products for use in studies on shorter time scales as well as weather case studies. The new NASA Water Vapor Project (NVAP) data sets are produced under the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) program and is named NVAP-M. It supersedes the previous NVAP data set. NVAP-M continues the legacy of providing high-quality, model-independent global estimates of total column and layered water vapor. The use of improved, intercalibrated data sets and algorithms that were not available for the heritage NVAP data set results in an improved and extended water vapor data set that is stable enough for climate research and of a resolution appropriate for studies on smaller spatial and temporal scales. The true value of NVAP-M will be seen in outcomes from applied and research users of the data set in various fields. Some initial NVAP-M findings are presented in Vonder Haar et al. (2012). In addition to the time-dependent artifacts present in the previous NVAP data set, a wealth of new data has become available since the last NVAP processing in 2003. These include an additional SSM/I instrument, additional NOAA satellites, the NASA Earth Observing System (EOS)-Aqua Satellite, which carries the Atmospheric Infrared Sounder (AIRS), as well as water vapor information from Global Positioning System (GPS) satellites. This extension and reprocessing effort increases the temporal coverage from 14 to 22 (1988-2009) years, making the data set more useful and consistent for investigation of the long-term trends which are hypothesized to occur as Earth warms. In addition to the long-standing daily, 1-degree gridded Total Precipitable Water (TPW) and layered Precipitable Water (PW) products, NVAP-M includes additional products geared towards different scientific needs. Three separate processing streams produced products directed towards specific research goals. These are NVAP-M Climate, designed to provide the most stable water vapor data set over time for use in climate applications, and NVAP-M Weather, designed to provide higher spatial and temporal resolution products for use in studies on shorter time scales as well as weather case studies. Additionally, an ocean-only (NVAP-M Ocean) version includes only data from the SSM/I and is intended to mirror other available SSM/I-only water vapor data sets.
TROPESS CrIS-SNPP L2 Deuterated Water Vapor for Forward Stream, Standard Product V1 (TRPSDL2HDOCRSFS) at GES DISC
The TROPESS CrIS-SNPP L2 Deuterated Water Vapor for Forward Stream, Standard Product contains the vertical distribution of the retrieved atmospheric state of semi-heavy water (HDO), formal uncertainties, and diagnostic information measured by the CrIS instrument on the Suomi-NPP satellite. The forward stream standard product is global for the time period from 2021-02-01 to 2021-05-21, when the CrIS-SNPP processing was discontinued. The NASA TRopospheric Ozone and Precursors from Earth System Sounding (TROPESS) project, uses an optimal estimation algorithm, known as the MUlti-SpEctra, MUlti-SpEcies, Multi-SEnsors (MUSES).The data files are written in the netCDF version 4 file format, and each file contains one day of data. The data have a spatial resolution of 14 km (CrIS nadir FOV), and are reported at 17 vertical levels from the surface to 0.1 hPa. The principal investigator for the TROPESS project is Kevin W. Bowman.
Updated dataset for the manuscript - "Pore-scale Water Vapor Condensation Behaviors in Shales: An Experimental Study"
<p>Updated dataset for the manuscript entitled "Pore-scale Water Vapor Condensation Behaviors in Shales: An Experimental Study".</p>
Water vapor isotopic data of heavy rainfall events in Nanjing
<p>Water vapor isotopic data of heavy rainfall events in Nanjing</p>
Observational relationships between ammonia, carbon dioxide and water vapor under a wide range of meteorological and turbulent conditions: RITA-2021 campaign.
<p><strong>Data and code for ‘’Observational relationships between ammonia, carbon dioxide and water vapor under a wide range of meteorological and turbulent conditions: RITA-2021 campaign.’’</strong></p> <p>Corresponding authors: M.C. van Zanten (<a href="mailto:margreet.van.zanten@rivm.nl">margreet.van.zanten@rivm.nl</a>) and Jordi Vila (<a href="mailto:Jordi.vila@wur.nl">Jordi.vila@wur.nl</a>). RIVM and Wageningen University, Meteorology & Air Quality Section</p> <p><strong><br><br><br>Repository structure:</strong></p> <p>The zipped folder includes the following subfolders:</p> <p><strong>Data:</strong></p> <p>Here you will find a zip file that contains the measurement data obtained during the RITA-2021 campaign at the Ruisdael site at Cabauw (The Netherlands) which has been used in the preparations of the article. Not necessarily all data has been used in the final manuscript.</p> <p><strong>MATLAB:</strong></p> <p>Here you will find a zip file that contains the matlab code used for the analysis of the data available under Data.</p>
Numerical Investigation of Observational Flux Partitioning Methods for Water Vapor and Carbon Dioxide
Open the record for dataset details and reuse information.
Water vapor in the tropical tropopause layer to reproduce seasonal cycles in Wang et al paper
<p>This dataset contains the data needed to reproduce the tropical tropopause layer water vapor seasonal cycles in this paper. </p>
Figure 6 from: Nako J-D, Lee NS, Wright JC (2018) Water vapor absorption allows for volume expansion during molting in Armadillidium vulgare and Porcellio dilatatus (Crustacea, Isopoda, Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 459-479. https://doi.org/10.3897/zookeys.801.23344
Figure 6 Mean measured (blue) and expected (red) values for hemolymph osmolality in Armadillidiumvulgare during molting in 100 % RH. Expected values are derived from the product of the mean intermolt osmolality (green symbols) and the proportional changes in blood volume over the molt cycle (see text). Bars show ± 1 SEM with sample sizes. Molt stages as in Figs 1–4. Asterisks denote significant differences between measured and expected means (2-sample t-test). * P < 0.05; ** P < 0.01. (*) P = 0.056.
Figure 5 from: Nako J-D, Lee NS, Wright JC (2018) Water vapor absorption allows for volume expansion during molting in Armadillidium vulgare and Porcellio dilatatus (Crustacea, Isopoda, Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 459-479. https://doi.org/10.3897/zookeys.801.23344
Figure 5 Mean masses of Ligidiumlapetum in 100% RH. The mean mass of the surviving animals on Day 2 is the mean % mass loss of those animals, subtracted from the mean of all animals at Day 0. No animal survived to Day 3 or initiated ecdysis.
Figure 4 from: Nako J-D, Lee NS, Wright JC (2018) Water vapor absorption allows for volume expansion during molting in Armadillidium vulgare and Porcellio dilatatus (Crustacea, Isopoda, Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 459-479. https://doi.org/10.3897/zookeys.801.23344
Figure 4 Mass changes of Porcelliodilatatus during molting at 97 % RH and without food. Data labels and other details as for Fig. 1.
Figure 1 from: Nako J-D, Lee NS, Wright JC (2018) Water vapor absorption allows for volume expansion during molting in Armadillidium vulgare and Porcellio dilatatus (Crustacea, Isopoda, Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 459-479. https://doi.org/10.3897/zookeys.801.23344
Figure 1 A Mass changes of Armadillidiumvulgare during molting at 100 % RH, without access to food. Pre- and post- labels refer to the number of days before/after ecdysis with data showing the % mass change over the prior 24-h period. PE = posterior ecdysis; AE = anterior ecdysis. Bars show ± SEM with sample sizes B Mean masses of 4 of these animals, showing the characteristic pattern of mass gain, peaking between PE and AE, followed by loss over the 3 to 4-day post-molt period.
Figure 2 from: Nako J-D, Lee NS, Wright JC (2018) Water vapor absorption allows for volume expansion during molting in Armadillidium vulgare and Porcellio dilatatus (Crustacea, Isopoda, Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 459-479. https://doi.org/10.3897/zookeys.801.23344
Figure 2 Mass changes of Armadillidiumvulgare during molting in 97 % RH, without access to food. Details as in Figure 1. PE2 refers to the small number of animals reaching a second day after PE without completing the anterior ecdysis.
Figure 7 from: Nako J-D, Lee NS, Wright JC (2018) Water vapor absorption allows for volume expansion during molting in Armadillidium vulgare and Porcellio dilatatus (Crustacea, Isopoda, Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 459-479. https://doi.org/10.3897/zookeys.801.23344
Figure 7 A Percentage mass change between 5 days premolt and anterior ecdysis for Armadillidiumvulgare maintained in 100 % RH (blue) and 97 % RH (red) and plotted as a function of premolt mass. Trendlines show best-fit logarithmic curves. Animals in 97 % RH achieve slightly smaller proportional mass changes to those in saturated air, consistent with the reduced vapor pressure gradient for WVAB Log-log plot showing the relationship between fractional mass-gain and pre-molt mass in 100 % RH (% mass gain α M-0.676).
Figure 3 from: Nako J-D, Lee NS, Wright JC (2018) Water vapor absorption allows for volume expansion during molting in Armadillidium vulgare and Porcellio dilatatus (Crustacea, Isopoda, Oniscidea). In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 459-479. https://doi.org/10.3897/zookeys.801.23344
Figure 3 Mass changes of Porcelliodilatatus during molting at 100 % RH, without access to food. Bars show ± SEM with sample sizes.
Data for "Convectively Transported Water Vapor Plumes in the Midlatitude Lower Stratosphere"
<p>This upload contains the data used in the journal article "Convectively Transported Water Vapor Plumes in the Midlatitude Lower Stratosphere" submitted to Journal of Geophysical Research (JGR).</p>
Outcomes of Water Vapor Thermal Therapy (REZUM) in Management of Symptomatic Patients With Benign Prostatic Enlargement
ClinicalTrials.gov study NCT05784909. IPD Sharing: NO. Countries: 0. Publications: 6.
AMSR-MODIS Boundary Layer Water Vapor L3 Daily 1 degree x 1 degree V2 (AMDBLWV) at GES DISC
Version 2 is the current version of this dataset. Version 2 uses an improved methodology to screen out high clouds.This data set provides an estimate the marine boundary layer water vapor beneath uniform cloud fields. Microwave radiometry from AMSR-E and AMSR-2 provides the total column water vapor, while the near-infrared imagery from MODIS provides the water vapor above the cloud layers. The difference between the two gives the vapor between the surface and the cloud top, which may be interpreted as the boundary layer water vapor.
TES/Aura L3 Water Vapor Monthly Gridded V006
TL3H2OM_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Water Vapor Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This data product consists of monthly atmospheric temperature and volume mixing ratios (VMRs) for the Water Vapor atmospheric species, which are provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels.The TES Science Data Processing L3 subsystem interpolated L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products are composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir; Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. The product file may contain, in separate folders, limb data, nadir data, or both folders may be present. Specific to L3 processing were the terms Daily and Monthly representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process are complete Global Surveys; in other words a Global Survey was not split in relation to time when input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represent Global Surveys that are initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly.
BOREAS RSS-14 GOES-7 Level-1a Visible, Infrared, and Water Vapor Images
The level-1a BOREAS GOES-7 image data was collected by Remote Sensing Science Team 14 (RSS-14) personnel at the Florida State University and processed to level-1a products by BORIS personnel. The primary objective for the GOES-7 images in 1994 was to collect visible, infrared (IR), and water vapor channel data covering the BOREAS region at a sufficiently high temporal frequency for subsequent use in analyzing weather events and deriving temporal surface radiation parameters and patterns that existed during the Focused and Intensive Field Campaigns (FFCs and IFCs). The transition and shifting of satellites from GOES-7 to GOES-8 in 1995 enabled good quality images to be acquired over the BOREAS region four times per day from January to June, giving a reasonable monitoring dataset. The data cover the period of 01-January-1994 through 08-July-1995 with partial to complete coverage on the majority of the days. The data include three-bands with eight-bit pixel values. No major problems with the data have been identified.
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Allen Brain Atlas
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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.