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.
504
datasets available to search
ShareScore release 0.9.0
Dataset results
504 results for “pores”
Pore Water Concentrations of Nitrogen From N-Addition Plots in an Alberta Peatland, 2011-2015
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. Bogs, being ombrotrophic, may be especially susceptible to increasing N deposition. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a bog near Mariana Lakes, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). We collected surface pore water from all plots several times a year throughout the 5 year experiment. Porewater NH4 +-N, NO3 --N, and DON concentrations were unaffected by N input in any of the five years (rmANOVA; p = 0.44, 0.37, and 0.82, respectively). We hypothesized that as N deposition increases to a level that exceeds the capacity of the bog vegetation to take up N, net N mineralization in surface peat would be inhibited by higher NH4 +-N availability, net nitrification would be stimulated by higher NH4 +-N availability, and concentrations of DIN in porewater at the top of the water table would increase, as DIN bypasses interception by the ground layer vegetation. None of these hypotheses was supported with nitrogen being immediately taken up by vegetation. It is unclear if longer term study would reveal similar responses.
Pore water concentrations of Nitrogen from N-Addition plots in an Alberta Poor Fen, 2011-2015
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a poor fen near Mariana Lake, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). We collected surface pore water from all plots several times a year throughout the 5 year experiment. Over the 5 years of the study, porewater NH4+-N, NO3--N, and DON concentrations at the top of the poor fen water table were unaffected by N addition (p = 0.06, 0.30, 0.16, respectively). However, porewater NH4+-N, NO3--N, and DON concentrations were substantially higher in 2011 than in 2012-2015 (Fig. 11). Water addition alone had no significant effect on porewater concentrations of NH4+-N, NO3--N, or DON (p > 0.99). We hypothesized that as N deposition increases to a level that exceeds the capacity of the fen vegetation to take up N, net N mineralization in surface peat would be inhibited by higher NH4+-N availability, net nitrification would be stimulated by higher NH4+-N availability, and concentrations of DIN in porewater at the top of the water table would increase, as DIN bypasses interception by the ground layer vegetation. None of these hypotheses was supported with nitrogen being immediately taken up by vegetation. It is unclear if longer term study would reveal similar responses.
Eight Mile Lake Research Watershed, Thaw Gradient: Geochemistry of soil pore waters sampled in May 2018 (0 - 20 cm depth) and August 2019 (0-120 cm depth) at Gradient site, 2018-2019
In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Analysing the geochemistry of soil pore waters at Gradient site complements the overarching aim of this study. The dissolved organic carbon and mineral elements are determined in soil pore waters from sites of minimum, moderate and extensive permafrost degradation during the spring thaw (0-20 cm depth) in May 2018 and during late summer (0-120 cm depth) in August 2019. Soil pore waters were collected from sites approximately 15 m uphill of the highly monitored Gradient sites. The geochemical data was used to assess the mineral element-organic carbon associations in soil pore waters between contrasting sites of permafrost degradation.
McMurdo Dry Valleys Halogen chemistry and isotopic composition in McMurdo lake waters and pore fluids
As part of a collaborative investigation between researchers at Rice University, Arkansas State University, University of Rochester, and Ohio State University, lakes of the McMurdo Dry Valleys were sampled at discreet depth intervals during the 2005-2006 field season.  Sample splits were subsequently analyzed for chemical and isotopic composition of both gases and dissolved  ions, as well as dissolved organic carbon. In addition, cryogenic salts were sampled in the surrounding lake shores in order to determine the salt sources. Gravity cores were also obtained and the pore waters were collected by centrifuging the wet sediment.  Presented  in this file are the dissolved halogens :chloride, bromide, and total iodine in lake waters and pore waters. The isotopic composition of I-129 and Cl-36 are also presented for these same samples, as are the molar ratios of I-129/I-127, and Cl-36/Cl-37.  Alkalinity was also determined in order to subsequently investigate the relationship between the oxidation of organic matter and the release of iodine into the lake waters.
SBC LTER: Beach: Data to support "Contribution of macroalgal wrack consumers to dissolved inorganic nitrogen concentrations in intertidal pore waters of sandy beaches"
These data describe measures of excretion from talitrid amphipods (Megalorchestia corniculata) fed giant kelp (Macrocystis pyrifera) blades and incubated in a series of mesocosms during May 2018. Data are contained in one table: time series of mesocosm porewater nutrient concentrations measured twice daily for approximately one week (two full trials included in this dataset). This dataset is to support the article: Lowman, H. E., Emery, K. A., Kubler-Dudgeon, L., Dugan, J. E., & Melack, J. M. (2019). Contribution of macroalgal wrack consumers to dissolved inorganic nitrogen concentrations in intertidal pore waters of sandy beaches. Estuarine, Coastal and Shelf Science. https://doi.org/10.1016/j.ecss.2019.02.004
Data set related to the manuscript "Ionic liquids under confinement: From systematic variations of the ion and pore sizes towards an understanding of structure and dynamics in complex porous carbons"
<p>Graphical files in the agr format for all the figures in the main text of the manuscript entitled "Ionic liquids under confinement: From systematic variations of the ion and pore sizes towards an understanding of structure and dynamics in complex porous carbons" (10.1021/acsami.9b16740). Example of input file for one of the systems simulated.</p>
Raw mass spectrometry data for publication "Vertebrate cellular endolysosome modulating pore-forming protein is negatively regulated by its homologue under environmental oxidative conditions"
<p><strong>Abstract</strong>: Endolysosomes are key players in cell physiology, including material exchange, immunity and environmental adaptation etc. Bacterial pore-forming toxin aerolysin-like proteins (ALPs) are widely distributed in animals and plants. βγ-CAT is a complex of an ALP (BmALP1) and a trefoil factor (BmTFF3) in the frog <em>Bombina maxima</em>. It is the first example that a secreted endogenous pore-forming protein modulates the biochemical properties of endolysosomes via pore formation in these vesicles. Here, we report the identification of BmALP3, a homologue of BmALP1 that lacks membrane pore formation capacity. Both BmALP3 and BmALP1 contain a conserved cysteine in their C-terminal regions. BmALP3 was readily oxidized to disulfide bond linked homodimer, and the homodimer could then oxidize BmALP1 via disulfide bond exchange, resulting in the dissociation of βγ-CAT subunits and elimination of its biological activity. Consistent with its behavior <em>in vitro</em>, BmALP3 senses environmental oxygen tension <em>in vivo</em>, leading to modulation of βγ-CAT activity. Interestingly, this C-terminal cysteine site is well conserved in numerous vertebrate ALPs. These findings, for the first time, uncovered the existence of a regulatory ALP (BmALP3) and its modulating action on a cell executive ALP (BmALP1) in a redox-dependent manner, which is completely different from that of bacterial toxin aerolysins.</p>
Spectral induced polarization of calcite precipitation: 2D experimental pore scale observation
<p>This data will be available after publication.</p>
Dataset to "Nanothermodynamic description and molecular simulation of a single-phase fluid in a slit pore"
<p>This is the dataset presented in the article "Nanothermodynamic description and molecular simulation of a single-phase fluid in a slit pore" [1]. The columns from left to right are</p> <ul> <li>Slit pore height</li> <li>Normal pressure</li> <li>Standard deviation of the mean of the normal pressure</li> <li>Integral pressure</li> <li>Standard deviation of the mean of the integral pressure</li> <li>Surface tension</li> <li>Standard deviation of the mean of the surface tension</li> <li>Normal pressure from local fluid number density profile</li> <li>Standard deviation of the mean of the normal pressure from local fluid number density profile</li> <li>Fluid number density</li> <li>Standard deviation of the mean of the fluid number density</li> <li>Number of samples</li> <li>Zeroes</li> <li>Temperature</li> <li>Standard deviation of the mean of the temperature</li> <li>Potential energy</li> <li>Standard deviation of the mean of the potential energy</li> <li>Kinetic energy</li> <li>Standard deviation of the mean of the kinetic energy</li> </ul> <ol> <li>https://arxiv.org/abs/2012.00562</li> </ol>
Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 13C-1H solid-state NMR and molecular dynamics simulations"
<p>Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 1H-13C solid-state NMR and molecular dynamics simulations" Langmuir 2014, 30 (2), pp 461–469 http://dx.doi.org/10.1021/la404684r</p> <p>System: 70 wt% C12E5, T=298K</p> <p>Other files available: http://dx.doi.org/10.6084/m9.figshare.861071</p>
Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 13C-1H solid-state NMR and molecular dynamics simulations"
<p>Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 1H-13C solid-state NMR and molecular dynamics simulations" Langmuir 2014, 30 (2), pp 461–469 http://dx.doi.org/10.1021/la404684r</p> <p>System: 70 wt% C12E5, T=320K</p> <p>Other files available: http://dx.doi.org/10.6084/m9.figshare.861071</p>
Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 13C-1H solid-state NMR and molecular dynamics simulations"
<p>Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 1H-13C solid-state NMR and molecular dynamics simulations" Langmuir 2014, 30 (2), pp 461–469 http://dx.doi.org/10.1021/la404684r</p> <p>System: 70 wt% C12E5, T=333K</p> <p>Other files available: http://dx.doi.org/10.6084/m9.figshare.861071</p>
Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 13C-1H solid-state NMR and molecular dynamics simulations"
<p>Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 1H-13C solid-state NMR and molecular dynamics simulations" Langmuir 2014, 30 (2), pp 461–469 http://dx.doi.org/10.1021/la404684r</p> <p>System: 60 wt% C12E5, T=333K</p> <p>Other files available: http://dx.doi.org/10.6084/m9.figshare.861071</p>
Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 13C-1H solid-state NMR and molecular dynamics simulations"
<p>Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 1H-13C solid-state NMR and molecular dynamics simulations" Langmuir 2014, 30 (2), pp 461–469 http://dx.doi.org/10.1021/la404684r</p> <p>System: 60 wt% C12E5, T=320K</p> <p>Other files available: http://dx.doi.org/10.6084/m9.figshare.861071</p>
Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 13C-1H solid-state NMR and molecular dynamics simulations"
<p>Simulation trajectories for the article "Molecular conformation and bilayer pores in a nonionic surfactant lamellar phase studies with 1H-13C solid-state NMR and molecular dynamics simulations" Langmuir 2014, 30 (2), pp 461–469 http://dx.doi.org/10.1021/la404684r</p> <p>System: 60 wt% C12E5, T=298K</p> <p>Other files available: http://dx.doi.org/10.6084/m9.figshare.861071</p>
Vertical Stratification of Peat Pore Water Dissolved Organic Matter composition in a peat bog in Northern Minnesota
<p>Currently peatlands represent a sink for carbon dioxide and source of atmospheric methane. It is unclear the impact that climate change will have on these systems. As such, a large-scale ecosystem manipulation (Spruce and Peatland Responses under Climatic and Environmental Change, SPRUCE) has been implemented at a peat bog (S1 bog) at the Marcel Experimental Forest (MEF), Minnesota, USA, to determine the effects of climatic forcing on ecosystem processes in northern peatlands. In this study, we aimed to: (i) identify peat pore water dissolved organic matter (DOM) composition as a function of depth before the initiation of the manipulation experiment and (ii) contribute to the knowledge of DOM chemistry and decomposition processes at the S1 bog. We found strong vertical resolution in DOM molecular composition and optical properties within the peat column at the S1 bog. Surface samples were dominated by inputs from surface vegetation. The mid-depth, 30-75cm was an area of high reactivity and increased microbial activity with diagenetic formation of many unique compounds such as polycyclic aromatic compounds (PAC) that contain both nitrogen and sulfur heteroatoms. These compounds were previously observed in coal-derived products and were assumed to be responsible for coal’s biological activity. Biological processes taking place at the intermediate depth zone of the peat profile at the S1 bog are assumed to be responsible for the formation of these heteroatomic PAC in our system. Conversely, these compounds might stem from black carbon and nitrogen from potential fires that occurred at the site in the past. Surface and deep DOM exhibited more similar characteristics suggesting the possibility of lateral and vertical advection of pore water from the surface to the deeper horizons. Our results highlight the importance of understanding processes that control DOM production and transformation with depth.</p> <p>Included: FTICR MS data and optical properties data</p>
The role of injection method on residual trapping at the pore-scale in continuum-scale samples: raw micro-CT dataset
<p>The experiments in this work explore the role of a variable injection rate on gas saturation and residual trapping. There are 2 experiments in this work H2L (high to low injection rate) and L2H (low to high injection rate). The workflow for processing the micro-CT images to get the segmented images is described in [1]. </p><p>The following scans are included in this repository NB. all data for this repository is segmented micro-CT data.: </p><ol><li>Dry scan prior to experiment = <a href="https://zenodo.org/api/records/10145102/draft/files/05_dry_bin2_merged.tif/content">05_dry_bin2_merged.tif</a></li><li>Sample fully saturated with brine = <a href="https://zenodo.org/api/records/10145102/draft/files/07_wet_bin2_merged.tif/content">07_wet_bin2_merged.tif</a></li><li>H2L during high flow = <a href="https://zenodo.org/api/records/10145102/draft/files/09_h2lh_merged.tif/content">09_h2lh_merged.tif</a></li><li>H2L during low flow = <a href="https://zenodo.org/api/records/10145102/draft/files/11_h2ll_2_merged.tif/content">11_h2ll_2_merged.tif</a></li><li>H2L at the end of drainage (no flow) = <a href="https://zenodo.org/api/records/10145102/draft/files/16_dra1_pd5_merged.tif/content">16_dra1_pd5_merged.tif</a></li><li>H2L at the end of imbibition (no flow) = <a href="https://zenodo.org/api/records/10145102/draft/files/21_imb1_pi1_merged.tif/content">21_imb1_pi1_merged.tif</a></li><li>Sample fully resaturated with brine = <a href="https://zenodo.org/api/records/10145102/draft/files/28_wet2_bin2_merged.tif/content">28_wet2_bin2_merged.tif</a></li><li>L2H during low flow = <a href="https://zenodo.org/api/records/10145102/draft/files/29_2_l2hl_merged.tif/content">29_2_l2hl_merged.tif</a></li><li>L2H during high flow = <a href="https://zenodo.org/api/records/10145102/draft/files/30_l2hh_merged.tif/content">30_l2hh_merged.tif</a></li><li>L2H at the end of drainage (no flow) =<a href="https://zenodo.org/api/records/10145102/draft/files/31_dra2_pd1_merged.tif/content">31_dra2_pd1_merged.tif</a></li><li>L2H at the end of imbibition (no flow) =<a href="https://zenodo.org/api/records/10145102/draft/files/33_imb2_pi1_merged.tif/content">33_imb2_pi1_merged.tif</a></li></ol>
3D representation of meso-voids location and morphology within the fibrous pore space of three carbon fabrics
<p>Segmented meso-voids from a tomography scan of preforms impregnated under capillary dominated conditions, combined to 3D scans of the initial prefrom dry state.</p>
Mesh and velocity fields for "Resolving Pore-scale Concentration Gradients for Transverse Mixing and Reaction in Porous Media"
<p>This dataset contains the data needed to reproduce the results in the manuscript "Resolving Pore-scale Concentration Gradients for Transverse Mixing and Reaction in Porous Media". The three folders refer to (1) uniform flow, (2) flow through a bead pack, and (3) flow through a Berea sample (from the 11 sandstones repository, Digital Rocks Portal). The meshes and the velocity fields (in the subfolder "velocity") are in a HDF5 format. The meshes and velocity fields can be read using FEniCS version 2019.2.0. The velocity fields need 2nd order Lagrange tetrahedral elements.</p>
Functionalized graphene via a one pot reaction enabling exact pore sizes, modifiable pore functionalization and precision doping - JACS
<p>The dataset uploaded herein is associated with the paper published under the title "<em>Functionalized graphene via a one pot reaction enabling exact pore sizes, modifiable pore functionalization and precision doping</em>" with the American Chemical Society - Jouranl of the American Chemical Society. This dataset includes the .vasp files for all modeled structures, the INCAR for geometry optimizations, the KPOINTS for the generated band structure diagrams, the input script for the Zeo++ calculations, and the integrated Python notebook (.ipynb) that was used to read, analyze and plot the semiconducting data (.xlsx). This data has been made available to the scientific community in the interest of open-source and accessible data. The authors request that you please cite the associated paper and Zenodo dataset if used.</p> <h3>Abstract</h3> <p>Functionalizing graphene with exact pore size, specific functional groups, and precision doping poses many significant challenges. Current methods lack precision and produce random pore sizes, site of attachments and amounts of dopant leading to compromised structural integrity and affecting graphene’s applications. In this work, we report a strategy for the synthesis of functionalized graphitic materials with modifiable nanometer sized pores via a Pictet-Spengler polymerization reaction. This one-pot, four step synthesis uses concepts based on Covalent Organic Frameworks (COFs) synthesis to produce crystalline two-dimensional materials that were confirmed by pXRD, TEM measurements and DFT studies. These new materials are structurally analogous to doped graphene and graphene oxide (GO) but unlike GO maintain their semi-conductive properties when fully functionalized.</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.