Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
81
datasets available to search
ShareScore release 0.7.1
Dataset results
81 results for “water and fluxes”
Efficient oxidation attenuates porewater-derived methane fluxes in mangrove waters
<p>Data set used in the publication (<a href="https://doi.org/10.1002/lno.12639">https://doi.org/10.1002/lno.12639)</a></p> <ul> <li>timerseries.xlsx <ul> <li>This data includes continous data of ch4 concentration with other environmental parameters e.g. salinity, temperature, water depth, oxygen saturation and calculated water-air ch4 fluxes at two mangrove creeks in southeastern Brazil (Paraty-Mirim National Park, Florianópolis) </li> </ul> </li> <li>discrete data <ul> <li>This data includes discrete surface water sampling during spring and neap tide and porewater. The data includes ch4 concentration, d13C-CH4 and environmental parameters. </li> </ul> </li> </ul>
Extending High-Order Flux Operators on Spherical Icosahedral Grids and Their Applications in the Framework of a Shallow Water Model.
<p>This entry contains data output for supporting this paper. The original dataset was uploaded at:</p> <p><a href="https://share.weiyun.com/a741e41ff503e51f27da55c531f76f70">https://share.weiyun. com/a741e41ff503e51f27da55c531f76f70</a></p> <p>Because the original server no longer allows exceeded-quota storage,</p> <p>only the SWM-wave-dynamics component of the SWE model output has been transported to this site:</p> <p>swm-tc2: zonal flow</p> <p>swm-tc5: mountain-Rossby-wave</p> <p>swm-tc6: Rossby-Haurwitz wave</p> <p>These data are useful for regression and origin.</p> <p>see also <a href="https://zenodo.org/record/2549185">https://zenodo.org/record/2549185</a> for a companion work.</p> <p>References:</p> <p>Zhang, Y., 2018: Extending High-Order Flux Operators on Spherical Icosahedral Grids and Their Applications in the Framework of a Shallow Water Model. <em>Journal of Advances in Modeling Earth Systems</em>, <strong>10,</strong> 145-164.</p>
Water, energy and carbon fluxes and ancillary meteorological and remote sensing measurements at Encanto Golf Course, Phoenix, Arizona during 2019-2020
<p>Water, energy and carbon fluxes as wells as ancillary meteorological and NDVI measurements from the Encanto Park Golf Course in Phoenix, AZ. Measurements were done from March 2019 to March 2020.</p> <p>The database includes three files:</p> <ul> <li>Encanto_AZMET.xlsx, that include hourly values and daily average meteorological variables (T<sub>air</sub>, RH, VPD, R<sub>s</sub>, T<sub>soil</sub>, etc.) obtained from the Phoenix Encanto meteorological station of The Arizona Meteorological Network (AZMET). Please refer to https://cals.arizona.edu/AZMET/15.htm and the spreadsheet ReadMe within the excel file for additional information.</li> <li>Encanto_EddyCovariance.xlsx includes the half-hour water, energy and carbon fluxes obtained using an eddy covariance (EC) system. The file also includes half-hour ancillary meteorological and soil measurements obtained from the EC tower. Water, energy and carbon fluxes were processed using the software EddyPro 7.0. For more information, please refer to Vivoni <em>et al</em> (2020). Note: This new version includes Eddy Covariance and Met data up to July, 2020.</li> <li>Encanto_NDVI.xlsx includes the average NDVI for the net radiometer footprint installed in the EC tower. NDVI was obtained from 4-band PlanetScope scene images obtained from Planet website (www.planet.com). For more information, please refer to Vivoni <em>et al</em> (2020).</li> </ul> <p>The use of the datasets requires the citation of the next paper:</p> <ul> <li>Vivoni, E. R., Kindler, M., Wang, Z., and Perez-Ruiz, E. R. 2020.Abiotic Mechanisms Drive Enhanced Evaporative Losses under Urban Oasis Conditions . <em>Geophysical Research Letters</em>. 47: e2020GL090123. <a href="https://doi.org/10.1029/2020GL090123">https://doi.org/10.1029/2020GL090123</a></li> </ul>
Data used in the manuscript "Pioneering evidence of the dynamics of water vapor and CO2 fluxes in Sahara Desert soils"
Open the record for dataset details and reuse information.
Data from: First assessments of trace metal fluxes from the Pacific to the Arctic - high resolution 2021 summer measurements show surprisingly high influence of the Alaskan Coastal Water
Open the record for dataset details and reuse information.
Data from: New records of very high nitrous oxide fluxes from rice cannot be generalized for water management and climate impacts
Open the record for dataset details and reuse information.
Environmental and ecological correlates of avian field metabolic rate and water flux
Open the record for dataset details and reuse information.
Dataset for: Physics-informed neural networks with monotonicity constraints for Richardson-Richards equation: Estimation of constitutive relationships and soil water flux density from volumetric water content measurements by Toshiyuki Bandai and Teamrat A. Ghezzehei
Open the record for dataset details and reuse information.
Meta-analysis data for Microcystin as a Biogeochemical Cycle: pools, fluxes, and fates of the cyanotoxin in inland waters
We constructed a conceptual biogeochemical model for microcystin through a comprehensive literature synthesis, identifying four major pools and nine major fluxes in lakes that also connect to the terrestrial environment. We also performed a literature synthesis, collating measurements of various pools and fluxes of microcystin in inland waters from the literature. A subset of those values were used in an analysis of microcystin detection for field surveys of waterbodies and a random effects model to estimate the mean and 95% confidence interval for various microcystin pools and fluxes in lakes.
Evaluating water and energy fluxes across three distinct land cover types in a desert urban environment
Urbanization impacts surface energy and water balances across multiple spatial and temporal scales, which can be particularly important in desert cities where resources are limited. Urban climate observations are limited, especially over a variety of locations that represent urban land cover. To help address the lack of observations over different urban land cover types, a mobile eddy covariance tower (ECT) was deployed at three different locations in the Phoenix metropolitan area, representing a xeric landscape (drip irrigated palo verde trees with gravel), a parking lot, and a mesic landscape (sprinkler irrigated turf grass). In this project, data obtained from the mobile ECT deployments will be coupled with data from an eddy covariance tower managed by CAP LTER in the Maryvale suburb of Phoenix, Arizona. Data is processed to obtain energy and water fluxes, which are controlled by land surface characteristics, over the four distinct land cover types.
Numerical Investigation of Observational Flux Partitioning Methods for Water Vapor and Carbon Dioxide
Open the record for dataset details and reuse information.
Fig. 3 in Calcium fluxes in Hoplosternum littorale (tamoatá) exposed to different types of Amazonian waters
Fig. 3. Net Ca2+ fluxes of Hoplosternum littorale transferred from black water (BW) to acidic black water pH 3.5 (ABW) or white water (WW) (a), and fish transferred from ABW to BW or WW (b) and fish transferred from WW to BW or ABW (c). The first bar in the left side of the figure represents the 2-4 h flux of the first exposure. Data expressed as mean ± SEM. Positive values indicate net influxes and negative values net effluxes. Asterisks (*) indicate significantly different from the same group 2 h after transfer by Kruskall- Wallis ANOVA and Mann-Whitney test (P <0.05). Crosses (+) indicate significantly different from the previous water condition by Kruskall-Wallis ANOVA and Mann-Whitney test (P <0.05).
SAFARI 2000 Kalahari Transect CO2, Water Vapor, and Heat Flux, Wet Season 2000
Short-term measurements of carbon dioxide, water, and energy fluxes were collected at four locations along a mean annual precipitation gradient in southern Africa during the SAFARI 2000 wet (growing) season campaign of 2000. The purpose of this research was to determine how observed vegetation-atmosphere exchange properties are functionally related to long-term climatic conditions. This research was conducted along the Kalahari Transect (KT), one in the global set of International Geosphere-Biosphere Programme (IGBP) transects, which covers a north-south aridity gradient, all on a homogenous sand formation. Eddy covariance instruments were deployed on a permanent tower in Mongu, Zambia (879 mm of rainfall per year), as well as on a portable tower in Maun (460 mm/yr), Okwa River Crossing (407 mm/yr), and Tshane (365 mm/yr), Botswana for several days at each site.The data files are stored as ASCII text files, one file per site, in comma-separated-value (csv) format, with column headers. Each file contains measurements of the following parameters: air temperature; CO2 concentration; CO2 flux; friction velocity; heat flux; infrared surface skin temperature; longwave radiation; net radiation; photosynthetic photon flux density; photosynthesis energy; relative humidity; shortwave radiation; soil moisture; soil temperature; vapor pressure deficit; wind speed and angle; water use efficiency; and water vapor. Additional information can be found in the companion file: ftp://daac.ornl.gov/data/safari2k/climate_meteorology/kalahari_co2_heat_flux/comp/ kt_co2_heat_flux_readme.pdf. Detailed photographs (.jpg) that complement the experimental descriptions for this data set are available on the S2K Photo Gallery pages.
BOREAS RSS-08 BIOME-BGC SSA Simulations of Annual Water and Carbon Fluxes
The BOREAS RSS-08 team performed research to evaluate the effect of seasonal weather and landcover heterogeneity on boreal forest regional water and carbon fluxes using a process level ecosystem model, BIOME-BGC, coupled with remote sensing-derived parameter maps of key state variables. This data set contains derived maps of landcover type and crown and stem biomass as model inputs to determine annual evapotranspiration, gross primary production, autotrophic respiration and net primary productivity within the BOREAS SSA-MSA, at a 30 m spatial resolution. Model runs were conducted over a 3 year period from 1994-1996, images are provided for each of those years.
SAFARI 2000 MODIS Water and Heat Fluxes, Maun, Botswana, Dry Season 2001
A physically-based model, Energy: Surface Towards Atmosphere (ESTA), was used to model and map the energy and water balances of a heterogeneous land surface in a savanna environment on the southern fringe of the Okavango Delta, near Maun, Botswana. ESTA is governed by remotely sensed values of surface temperature, reflection, and vegetation density.Surface reflectance data from the MODIS sensor aboard the Terra satellite were obtained for the Okavango Delta region for September of 2001. Use was made of the visible, near infrared, and thermal bands of MOD09, a configuration that allows discrimination of broad-band surface albedo, vegetation indices, and surface temperature. A crude land cover classification image was created to provide vegetation canopy heights for the estimation of aerodynamic resistance. The original spatial resolution of the visible and near infrared imagery of 250 and 500 meters, respectively, was reduced to 1 km to be compatible with the resolution of the thermal imagery. Input to the model also includes near-surface meteorological observations from the Maun flux tower.Net radiometer data from the Maun station were used for crude atmospheric corrections and for validating net radiation estimates. Soil heat flux plates, also in place at the tower site, in combination with an eddy-correlation system, were used to validate the model output for soil and turbulent heat fluxes. This data set consists of 3 separate gridded binary image files representing daily evapotranspiration (mm/day) for the Okavango Delta region for September 2, September 13, and September 29, 2001.
Net Carbon Dioxide and Water Fluxes of Global Terrestrial Ecosystems, 1969-1998
The variability of net surface carbon assimilation (Asmax), net ecosystem surface respiration (Rsmax), and net surface evapotranspiration (Etsmax) among and within vegetation types was examined based on a review of studies performed in either a micrometeorological setting or an enclosure setting. The majority of studies involved forests and C3 crops, particularly in the northern hemisphere; however, studies on tropical forests, C4 grasslands or wetlands were included. Data are presented for 133 published studies, although individual studies may not have measure all variables of interest.Despite large variations within a vegetation type, enclosure studies tended to give highest Asmax rates compared to micrometeorological techniques (Buchmann and Schulze 1999). Excluding enclosure studies, the investigators tested the effect of stand age and leaf area index (LAI) on net ecosystem gas exchange. The results from these analyses illustrate where gaps in scientific knowledge exist and how ecosystem properties affect the capacity of net ecosystem gas exchange.The information was collected from papers with publication dates from 1969-1998. Mean maximum flux rates for the period chosen by the authors were used instead of absolute maximum values for flux rates. Positive values stand for CO2 uptake by the vegetation and negative values represent CO2 release from the ecosystem. More information about the compilation can be found in Buchmann and Schultze (1999) or the individual studies cited in the data table.
Inverse estimation of spatiotemporal flux boundary conditions in unsaturated water flow modeling
<p>Data used in field case study in the paper titled "Inverse estimation of spatiotemporal flux boundary conditions in unsaturated water flow modeling".</p>
Evaluation of minimum water-filled pore space (WFPS) to ensure detectable N2 fluxes for Central Experiments in DASIM
<p><strong>Methods</strong></p><p>Incubation of DASIM soils in Thünen microcosm system under the following conditions:</p><ul><li>N2-depleted atmosphere(2% N2 in pure He or in 20%O2/78%He) (Lewicka-Szczebak et al., 2017)</li><li>Target flow rate: 20 mL/min</li><li>Core diameter: 14,4 cm</li><li>Core heights:10 cm</li><li>Bulk density: according to DASIM protocol: Fuhrberg, arable (sand) = 1.5; Rottalmünster, arable (silt loam) = 1.3; Gießen, grassland = clay loam (1.2)</li><li>15N-labeling: addition of K15NO3 (60 at% 15N), target content of 50 mg N/kg</li><li>Litter: all treatments <strong>without</strong> litter</li><li>WFPS levels: 60 /65/70/75 %</li><li>Incubation sequence: 1 week aerobic (20%O2), one week anaerobic</li><li>Temperature: 20°C</li><li>Gas sampling for IRMS: twice a week</li><li>GC analysis online about 3 times a day</li></ul><p>IRMS analysis: see Lewicka-Szczebak et al. 2013)</p><p>Calculation of ap and fs: see Spott et al. (2006) and Buchen et al. (2016)</p><p>Determination of limit of detection (LOD): Monte-Carlo modelling using SD of 29R and 30R of IRMS analysis</p><p>soils were sieved to 10 mm, preincubates at 50% WHCmax and 20°C for two weeks, fertilized, packed to target height and BD and wetted to target WFPS. Final WFPS and NO3--N was not measured.</p><p> </p>
Data and code used in the article "Integrating multiphysics processes with deep learning for the Prediction of coupled water-vapor-heat water fluxes in unsaturated zone"
<p>《Integrating multiphysics processes with deep learning for the Prediction of coupled water-vapor-heat water fluxes in unsaturated zone》 (the paper has been submitted to <em>Water Resources Research</em>). The data and code used in the paper, specifically, the water content data and temperature data from in-situ observations from July 1, 2020 to August 29, 2020 (with a frequency of observations of 5 min), and the sample code for implementing cpinn using python (mainly the tensorflow library). These data can help readers better understand and replicate our study. All data and code have been uploaded.</p> <p>The paper has been submitted to <em>Water Resources Research</em>, if the paper is accepted for publication, all data will be made freely available.</p> <p>.</p> <p> </p>
Energy, water and carbon fluxes over burned forests in Eastern Amazon
<p>Dataset of to energy, water and carbon fluxes over burned forests in Eastern Amazon.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.