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887 results for “Retention”
WSC - Gridded sample points at Wibu field site including yield, soil texture, water table depth, and estimated soil water retention parameters
A variety of data from gridded sampling points at the Wibu field site. The gridded sampling scheme is described in the Point Locations dataset. This dataset includes 2012 and 2013 absolute and normalized yield, soil textural characteristics (organic content, porosity, bulk density, particle size metrics, % sand/silt/clay), a variety of water table depth metrics (mean, percentiles, sum exceedance values, moving averages), and soil water retention parameters estimated using the Rosetta pedotransfer function. It was collected as part of a study of the impacts of water table depth, soil texture, and growing season weather conditions on corn production at the Wibu field site, described in Zipper et al. (in review). The Wibu field site is a commercial agricultural field, which grew corn in the 2012, 2013, and 2014 growing seasons. See Zipper and Loheide (2014) Ag. For. Met. for more information about the field site.
Winterberry: Fruit retention in fall and winter in 2016-2019 for four shrub species across Alaska
This dataset contains observations of fruit retention and state for Rosa acicularis (prickly rose), Empetrum nigrum (crowberry or blackberry), Vaccinium vitis-idaea (lowbush cranberry or lingonberry) and Viburnum edule (highbush cranberry). Data were collected at 47 sites in 25 communities in 6 ecoregions across Alaska, primarily by youth groups. Ecoregions include Bering taiga, Bering tundra, intermontane boreal, Alaska range transition, Aleutian meadows, and coastal rainforest. Observations were made approximately weekly during snow-free periods in fall and (at some sites) spring. At most sites only one species was monitored but some sites include observations on two species. Data consist of counts of unripe, ripe, rotten, dry, and damaged fruits. The dataset consists of one spreadsheet for each species and a file describing the location and habitat of each site.
Schoolyard ecology at North Temperate Lakes LTER: Dragonfly Species Presence at Stormwater Retention Ponds in July of 2014
This study aims to integrate scientific observations with community involvement, specifically with dragonfly species. The presence and absence of 17 dragonfly species was observed at Stormwater Retention ponds in the Madison area in July of 2014 and made into frequency distributions. This research will continue with community outreach in the area to further involve and educate the community on the biodiversity of their local ponds.
SBC LTER: Ocean: HFR-derived surface flow metrics, surface water retention times, and related factors in the Santa Barbara Channel (2012-2019)
This data package include three files: 1. daily maps of High-Frequency Radar (HFR) measured surface currents, indices of mesoscale eddy locations, and local retention times on a 2km grid; 2. monthly time series of wind stress, alongshore pressure gradient, surface current EOF principal components, vorticity, eddy area, eddy presence, and spatially averaged retention times from January 2012 to December 2019; 3. A MATLAB script for plotting the maps and timeseries. These data were processed in order to investigate the drivers of surface water retention in the Santa Barbara Channel, CA, details of which are available in the study: Brokaw, R.J., D.A. Siegel, and L. Washburn. Physical Drivers of Surface Water Retention in the Santa Barbara Channel. [In preparation for Journal of Geophysical Research: Oceans.]
Design of an elastic porous injectable biomaterial for tissue regeneration and volume retention: raw dataset
<p>Raw dataset for the publication:</p> <p><strong>Design of an elastic porous injectable biomaterial for tissue regeneration and volume retention</strong></p>
PsPM-DoxMem1: SCR, ECG and respiration measurements in an RCT using doxycycline/placebo during delay fear conditioning and retention.
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG), respiration and electromyogramm (EMG, only relevant for retention phase) measurements. Also included are CS and US information, keypress responses and keypress response times for 78 healthy participants (40 males and 38 females aged 23.3+/-3.6 years) under either doxycycline or placebo during a classical (Pavlovian) discriminant delay fear conditioning task. CS were a red and a blue screen. US consisted of 0.5 s square electric pulses with participant-specific duration and 500 Hz frequency. SOA between the CS onset and US was 3.5 s. CS and US co-terminated. Before the fear conditioning task, participants completed an N-back task and several questionnaires. During the retention/extinction phase one week after learning and without drug, an auditory startle probe (ST) and no US was delivered 3.5 s after CS onset via headphones (100 dB, 50 ms duration with 2ms on- and offset ramp). In an immediately following re-learning phase, the ST was omitted and the CS reinforced with the same schedule as during acquisition. The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p>
Modeling the effects of lake morphology on chloride retention and salt-driven stratification in two urban lakes in St. Paul, MN
Road salt inputs have caused widespread salinization of urban lakes in northern temperate regions. Watershed characteristics are known to be important drivers of lake chloride concentrations, but there has been less focus on how lake morphometry influences seasonal and interannual dynamics in lake chloride, and how these chloride levels may alter mixing in the water column. We analyzed chloride retention for two urban lakes (Como Lake and Lake McCarrons) in Saint Paul, Minnesota, that are in adjacent watersheds and have similar surface areas, but differ in depth and water residence time. Summer chloride concentrations were negatively related to total summer precipitation for Como Lake (maximum depth 2.2 m), but the relationship was less strong for Lake McCarrons (maximum depth 7.6 m). We used a zero-dimensional model to simulate chloride dynamics in both lakes and tracked the fate of chloride over time. In Como Lake, the mass of chloride in the lake turns over within three years, whereas chloride inputs are retained for >10 years in Lake McCarrons. We then used a one-dimensional hydrodynamic lake model (GLM-AED) to examine how lake depth affects how current chloride loading rates alter lake mixing. Salt inputs significantly extended the duration of summer stratification for simulated lakes with depths of 8 m or more, and salt inputs increased the number of days of hypoxia and anoxia across all depths. These results underscore the importance of considering lake morphometry in understanding the effects of salt inputs on lake ecosystems.
DataSet of "No renal dysfunction or salt and water retention in acute mountain sickness at 4,559 m among young resting males after passive ascent"
<p><strong>Abstract</strong></p> <p><strong>Purpose</strong>: This study examined the role and function of the kidney at high altitude in relation to fluid balance and the development of acute mountain sickness (AMS), avoiding confounders that have contributed to conflicting results in previous studies.</p> <p><strong>Methods</strong>: We examined 18 healthy male volunteers (18 - 40 years) not acclimatized to high altitude while on a controlled diet and resting recumbently for 24 h at Lausanne (altitude: 560 m) followed by a period of 44 hours after reaching the Regina Margherita hut (4,559 m) by helicopter.</p> <p><strong>Results</strong>: AMS scores peaked after 20 h at 4,559 m. AMS was defined as functional Lake Louise score <span class="math-tex">\({\ge}\)</span> 2.There were no significant differences between 10 subjects with and 8 subjects without AMS for urinary flow, fluid balance and weight change. Sodium excretion rate was lower in those with AMS after 24 h at altitude. Microalbuminuria increased at altitude but not differently between the groups. Creatinine clearance was not affected by altitude or AMS, while sinistrin and PAH clearances decreased slightly, more markedly in those without AMS. Plasma concentrations of epinephrine, norepinephrine, atrial natriuretic factor and vasopressin increased while renin activity, angiotensin and aldosterone decreased at altitude. Hormones levels did not differ between those with and without AMS.</p> <p><strong>Conclusions</strong>: 1) Renal function is not affected by hypoxia at 4,559 m in resting subjects except for minor microalbuminuria, 2) high altitude diuresis does not occur and 3) AMS is not associated with salt and water retention or renal dysfunction.</p>
Data to support the publication "Soil Water Retention as Affected by Management Induced Changes of Soil Organic Carbon: Analysis of Long-Term Experiments in Europe", https://doi.org/10.3390/land10121362
<p>Soil organic carbon content and water content at the different pressure points, as measured by Ioanna Panagea for the publication "Soil Water Retention as Affected by Management Induced Changes of Soil Organic Carbon: Analysis of Long-Term Experiments in Europe", https://doi.org/10.3390/land10121362 from the the long term experiments belonging in some of the SoilCare project partners. </p>
PsPM-DoxMem2: Pupil, SCR, ECG, EMG and respiration measurement in a classical pavlovian discriminant delay fear conditioning task, reminder under doxycycline/placebo, retention and re-learning
<p>This dataset includes eyetracker, skin conductance response (SCR), electrocardiogram (ECG), respiration and electromyogram (EMG, only relevant for retention phase) measurements. Also included are CS and US information, keypress responses and keypress response times for 79 healthy participants (40 males and 39 females aged 24.8+/-4.9 years). Participants underwent a classical (Pavlovian) discriminant delay fear conditioning task with 1 CS- and 2 CS+ (50% reinforcement), were reminded of one CS+ one week later under either doxycycline or placebo, and were tested in a retention/extinction and re-learning task another week later. CS were isoluminant coloured triangles. US consisted of 0.5 s square electric pulses with 0.2 ms duration and 500 Hz frequency. SOA between the CS onset and US was 3.5 s. CS and US co-terminated. Before the fear conditioning task, participants completed several questionnaires. During the retention/extinction phase, an auditory startle probe (ST) and no US was delivered 3.5 s after CS onset via headphones (102 dB, 40 ms duration with 2 ms on- and offset ramp). In an immediately following re-learning phase, the ST was omitted and the CS reinforced with the same schedule as during acquisition. The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p> <p> </p>
Input Dataset for Estimating Continuous Soil Water Retention Curves Using Physics-Informed Neural Networks
<p>This dataset was used as input to a physics-informed neural network (PINN) model developed to estimate continuous soil water retention curves (SWRCs). It includes basic soil properties such as particle-size distribution (sand, silt, clay), organic carbon content (OC), bulk density (BD), and measurements of soil water retention at various matric potentials. These inputs allow the model to learn the relationship between soil properties and water retention, via both data and embedded physical constraints. This data set consists of 4,200 Danish soil samples with measurements spanning the wet and dry ends of the SWRC. </p>
SARS-COV2 Spike Glycopeptide Mass-Retention Time PCDL database
<p>Contains accurate mass, HPLC retention time, peptide sequence, glycan structure and mass spectra for over 400 glycopeptides from elastase digestion of SARS-COV2 Spike antigen and receptor binding domain. The database is used as part of the Mass-Retention Time Fingerprinting method to characterise Spike glycans as described in the BioRxiv preprint “Identification, Mapping and Relative Quantitation of SARS-Cov2 Spike Glycopeptides by Mass-Retention Time Fingerprinting”</p>
The self-cleaning properties of biomimetic surfaces to repel Escherichia coli and Listeria monocytogenes attachment, adhesion, and retention
<p>Surface hydrophobicity and roughness were determined for unmodified wax surfaces (control), biomimetic wax surfaces, and Gladioli leaves. The self-cleaning properties of the biomimetic and control surfaces were compared by measuring their propensity to repel <em>Escherichia coli</em> and <em>Listeria monocytogenes</em> attachment, adhesion, and retention in mono- and co-culture conditions.</p>
Submerged aquatic vegetation and nitrogen retention data from 2012 to 2017 in lake Saint-Pierre, Saint Lawrence River
<p>Here we provide seven datasets that describes plant biomass (2012 to 2016), environmental variables and nitrogen retention time series (2012 to 2016) in a submerged aquatic vegetation (SAV) meadow at the confluence of two agricultural tributaries (Saint-François and Yamaska) with the St. Lawrence River in southern Lake Saint-Pierre.</p> <p>Version 2 adds the dataset 6 and 7.</p> <p>The seven datasets are:</p> <p>1) Growing season (June 21 to September 22) daily environmental variables (water level, water temperature, light, tributaries input, and SAV biomass indicator)</p> <p>2) Mean SAV biomass measured using rake or quadrat samples in the meadow</p> <p>3) Modelled daily nitrate tributary inputs to the SAV bed</p> <p>4) Daily nitrate output to the SAV bed estimated from a sensor</p> <p>5) Daily nitrate budget</p> <p>6) Hourly nitrate output to the SAV bed and signal decomposition from ensemble empirical mode decomposition (EEMD)</p> <p>7) Hourly dissolved oxygen and gas exchange velocities at the SAV bed outflow for 2016</p> <p>Original data comes from Lake Saint-Pierre, either from publicly available government agencies data, from a project led by the Groupe de recherche interuniversitaire en limnologie (GRIL, 2012-2015) and by Morgan Botrel Ph.D. candidate (2016-2017, Université de Montréal) or from Christiane Hudon (ECCC). Data were created for an article on climate-driven variation in nitrogen retention, led by Morgan Botrel and supervisor Roxane Maranger, with Christiane Hudon, James B. Heffernan and Pascale M. Biron (https://doi.org/10.1029/2022WR032678).</p>
Data for: Machine learning for predicting environmental mobility based on retention behaviour
<p>This repository contains the data and supplementary information for the paper: "Machine learning for predicting environmental mobility based on retention behaviour".</p>
5D-NP-FABTECH_SALV - Open Dataset for "3D Micropatterned Functional Surface Inspired by Salvinia Molesta via Direct Laser Lithography for Air Retention and Drag Reduction"
<p>This is the open dataset for the paper: "Omar Tricinci*, Francesca Pignatelli, Virgilio Mattoli*, 3D Micropatterned Functional Surface Inspired by Salvinia Molesta via Direct Laser Lithography for Air Retention and Drag Reduction, On line (2023) [DOI: 10.1002/adfm.202206946] "</p> <p>This include the Supplementary Information file ("SI-PaperSalvinia3_PostRevOKV2.pdf.pdf"), all the source material used for the paper preparation and more. </p> <p>For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata</p>
Sediment, C, N, and P Concentrations and Burial Rates in Three Southwestern Ohio Retention Ponds: 2006-2019
These datasets correspond to Rogers et al (2022) “Temporal patterns in sediment, carbon, and nutrient burial in ponds associated with changing agricultural tillage” published in Biogeochemistry (DOI: 10.1007/s10533-022-00916-w). We sampled three retention ponds in southwest Ohio in 2019 to compare sediment, carbon, nitrogen, and phosphorous burial rates to those calculated in 2006 to see the effect a watershed-wide shift to conservation tillage and to estimate the value of the ecosystem services these ponds provide via sequestration. Two methods were used to calculate burial rates: simple mean and spatially explicit. All datasets use simple mean except for the data set named “Spatially Explicit Sediment C N P Burial in SW OH Retention Ponds 2019”, which uses the spatially explicit method. For more information, please refer to our paper.
Lotic Intersite Nitrogen eXperiment II (LINX II): a cross-site study of the effects of anthropogenic land use change on nitrate uptake and retention in 72 streams across 8 different biomes (2003 – 2006).
The LINX II (Lotic Intersite Nitrogen eXperiment) project was designed to quantify the rates and mechanisms of nitrate retention in streams using stable isotope tracer additions. The study encompassed 72 stream reaches spread across 8 North American biomes. Within each biome, 9 streams were selected in three watershed land-use categories: 3 reference, 3 agricultural, and 3 urbanized. The core of the study was a 24-hour release of 15N- labeled nitrate. Prior to the isotope addition, physical, chemical and biological characteristics of the stream were measured. The measurements included, but were not limited to, dissolved nutrient concentrations, dissolved conservative tracer additions (to quantify hydraulic and hyporheic retention, velocity and discharge), standing stocks of primary uptake biota (including suspended and benthic particulate materials) as well as channel dimensions, photosynthetically active radiation, and water temperature. During the isotope release, whole stream rates of ecosystem metabolism were quantified (including quantification of re-aeration coefficients using tracer gas additions), and concentrations of 15N-labeled NO3, NH4, N2 and N2O were measured. Immediately following the isotope addition, 15N uptake by aquatic organisms was quantified by sampling biomass components on the stream bed. The data generated from these 72 stream reaches were used to develop a stream nitrogen retention model for each biome, which was expanded to entire drainage networks to predict nitrogen fluxes. The LINX II study demonstrated how biotic uptake of nitrate and denitrification increased with increasing nitrate concentrations. However, the efficiency of total uptake and denitrification actually declined with increasing nitrate concentrations (such as those seen on agricultural or urbanized streams), yielding higher rates of dissolved nitrogen exports downstream. The datasets presented here consist of the primary data collected by the LINX II study participants.
Ectomycorrhizal community composition associated with Nothofagus pumilio seedlings harvested from Variable Retention treatments at Los Cerros Ranch, Tierra del Fuego, Argentina.
This dataset contains data on Nothofagus pumilio seedlings sampled from a Variable Retention (VR) managed forest in Tierra del Fuego, Argentina seven years after harvesting. We evaluated the effects of a VR timber management system on the EMF community associated with N. pumilio seedlings. We quantified the abundance, composition, and diversity of EMF across aggregate (AR) and dispersed retention (DR) sites within a VR managed area and compared them to primary forest (PF) stands. EMF assemblage and taxonomic identities were determined by ITS-rDNA sequencing of individual root tips sampled from 280 seedlings across three landscape replicates of each VR treatment. To better understand seedling performance, we tested the relationships between fungal colonization, fungal taxonomic composition, seedling biomass, and VR treatment across our study sites. This data was collected as a comparative component to a larger project understanding the effect of mycorrizhae on seedling success after various disturbances such as logging and fire that was ongoing at the Bonanza Creek LTER and other arctic locations.
Mycorrhizal colonization, age, and aboveground biomass (g) of Nothofagus pumilio seedlings harvested from Variable Retention treatments at Los Cerros Ranch, Tierra del Fuego, Argentina.
This dataset contains data on Nothofagus pumilio seedlings sampled from a Variable Retention (VR) managed forest in Tierra del Fuego, Argentina seven years after harvesting. We evaluated the effects of a VR timber management system on the EMF community associated with N. pumilio seedlings. We quantified the abundance, composition, and diversity of EMF across aggregate (AR) and dispersed retention (DR) sites within a VR managed area and compared them to primary forest (PF) stands. EMF assemblage and taxonomic identities were determined by ITS-rDNA sequencing of individual root tips sampled from 280 seedlings across three landscape replicates of each VR treatment. To better understand seedling performance, we tested the relationships between fungal colonization, fungal taxonomic composition, seedling biomass, and VR treatment across our study sites. This data was collected as a comparative component to a larger project understanding the effect of mycorrizhae on seedling success after various disturbances such as logging and fire that was ongoing at the Bonanza Creek LTER and other arctic locations.
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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.