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795 results for “fluctuations”
Observations of groundwater fluctuations and surface moisture content on a medium-grained, planar beach (Sand Engine, the Netherlands)
<p>These data are groundwater and beach surface moisture values collected during the MegaPex campaign between October 11 and 20, 2014 at the Sand Engine, The Hague, the Netherlands by MSc students and staff of the Coastal Research Group at Utrecht University, the Netherlands. The data were obtained at 8 locations in a cross-shore array on the intertidal and upper beach. During the measurements the beach was planar (1:30) and the median grain size was 0.365 mm. The data are supplemented with bed profiles along the instrument array. For further information and meta-data, please consult the readme.txt and the header of the individual text files in the zip-file.</p>
Data and Code for: Determination of the Signal Fluctuation Threshold of the Temperature Ion Composition Ambiguity Problem Using Monte Carlo Simulations
<p>This repository contains the datasets and scripts used to obtain the Figures of the paper "Determination of the Signal Fluctuation Threshold of the Temperature Ion Composition Ambiguity Problem Using Monte Carlo Simulations".</p> <p>The repository is organized as follows:</p> <p>- a) ISR model script</p> <p>- b) Script to visualize the two solutions of the TICA problem</p> <p>- c) Generator of uniformly selected parameters</p> <p>- d) Script to represent the space of parameters</p> <p>- Part 0) Monte Carlo simulation codes</p> <p>- Part I) Analysis of the efffect of the uncertainty on the initial guess</p> <p>- Part II) Analysis of the impact of the addition of parameters from the Plasma Line</p> <p>- Part III) Analysis of the information provided by the addition of each parameter</p> <p>- Part IV) Analysis of the effect of the uncertainty on the parameters added</p> <p>All datasets and scripts were generated and tested using Matlab 2017. Simulations have been executed in parallel on a SLURM cluster, compilation and running scripts are provided.</p>
Cloud droplet growth due to supersaturation fluctuations in stratiform clouds
<p>Datasets with numerical setups and direct numerical simulation (DNS) data for "Cloud-droplet growth due to supersaturation fluctuations in stratiform clouds", <em>Atmosph. Chem. Phys.</em>, DOI: https://doi.org/10.5194/acp-2018-644</p>
Madhya Pradesh : water level and water fluctuation level maps (2006-2007)
<p>Madhya Pradesh : water level and water fluctuation level maps (2006-2007)</p>
Exploring Internal Quality Metric Fluctuations in Revision Histories – An Empirical Study
<p>Datasets and analysis script for the article "Exploring Internal Quality Metric Fluctuations in Revision Histories – An Empirical Study" submitted to ESEM'19 under double-blind review and provided as-is.</p>
Figure 4 in Using digital images in the study of fluctuating asymmetry in the spur-thighed tortoise Testudo graeca
Figure 4. The distribution of the differences between the average values for area (A), height (B), and width (C) for the left (LSP) and right (RSP) sides of the plastron relative to straight carapace length (SCL) and the corresponding average value in each SCL class (females n = 79, male n = 76).
Figure 5 in Using digital images in the study of fluctuating asymmetry in the spur-thighed tortoise Testudo graeca
Figure 5. The distribution of the differences between the average values for area (A), height (B), and width (C) for the left (LSP) and right (RSP) sides of the plastron relative to straight carapace length (SCL) and the corresponding average value in each CCL class (females n = 79, male n = 76).
Figure 4 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 4 Fluctuating asymmetry (mean and error deviation) observed in the antenna and tibia of Brevicoryne brassicae in the presence (Lead (Pb)) and absence (Control) of lead.
Figure 3 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 3 Negative allometry represented by the allometric coefficients of both the antenna and tibia and their confidence intervals; the values are related to the body length ofBrevicoryne brassicae in the presence (Lead (Pb)) and absence (Control) of lead.
Figure 1 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 1 Brevicoryne brassicae placed in a dorsal-ventral position for structure measurement. (a): Total body length (b): antenomer length (c): length of the posterior tibia. Source: the authors.
Figure 2 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 2 Mean length and standard error of the antenna, tibia and body length of Brevicoryne brassicae in the presence (Lead (Pb)) and absence (Control) of lead.
Figure 2 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 2. Map of Iran and location of the study area (Golil-Sarany, the protected rangeland) along with the IRS-P6 LISS III satellite image of the area.
Figure 1 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 1. Map of Iran. a) Map of Iranian provinces, b) Study area indicated by arrow (North Khorasan province).
Figure 8 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 8. Density of dominant Ceratophysella gibbosa in different ecosystems over the study period (2018–2019).
Figure 3 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 3. Climatogram (monthly measurements of temperature and precipitation) of the study area, Shirvan, based on the data obtained from the Meteorological Station of Shirvan over the period 2004–2014.
Figure 1 in Using of fluctuating asymmetry in adult Pelophylax ridibundus (Amphibia: Anura: Ranidae) meristic traits as a method for assessing developmental stability of population and environmental quality of their habitat: industrial area in southern Bulgaria
Figure 1. An indicative map of the sites in southern Bulgaria where P. ridibundus individuals were captured in 2019.
Figure 2 in Using of fluctuating asymmetry in adult Pelophylax ridibundus (Amphibia: Anura: Ranidae) meristic traits as a method for assessing developmental stability of population and environmental quality of their habitat: industrial area in southern Bulgaria
Figure 2. Photos of some asymmetric P. ridibundus individuals from site 1: the Chaya River in southern Bulgaria. Legend: a–d: asymmetric morphological traits on the back of the body and hind limbs of frogs, e–f: asymmetric morphological traits on the fingers of frogs. Trait 1 – number of stripes on the dorsal side of the thigh (femur); trait 2 – number of spots on the dorsal side of the thigh; trait 3 – number of stripes on the dorsal side of the shank (crus); trait 4 – number of spots on the dorsal side of the shank; trait 5 – number of stripes on the foot (pes); trait 6 – number of spots on the foot; trait 7 – number of stripes and spots on the back (dorsum); trait 8 – number of white spots on the ventral side of the second finger of the hind leg; trait 9 – number of white spots on the ventral side of the third finger of the hind leg; trait 10 – number of white spots on the ventral side of the fourth finger of the hind leg.
Figure 5 in Density, diversity, and seasonal fluctuations in soil Collembola in three differently managed ecosystems in North Khorasan, Iran
Figure 5. Nonmetric multidimensional scaling (nMDS) plot. Resemblance pattern of soil Collembolan fauna in three ecosystems, using total density of each taxon. Groups are delineated according to the results of the cluster analysis.
Figure 3 in Short-time salinity fluctuations are strong activators of oxidative stress in Mediterranean mussel (Mytilus galloprovincialis)
Figure 3. Short-time salinity fluctuations promote ROS formation in hemocytes. Mussels were acclimated to high (24 - 40 ‰, HS) and low (6-14 ‰, LS) environmental salinity. ROS levels were analyzed based on flow cytometric measurement of fluorescence levels of hemocytes stained with DCF-DA. Bars indicate mean±SE. Results were considered significant when p<0.05 by Mann-Whitney test (n=10).
Figure 5 in Short-time salinity fluctuations are strong activators of oxidative stress in Mediterranean mussel (Mytilus galloprovincialis)
Figure 5. Activity of the antioxidant enzymes in gills of mussels following exposure to short-time salinity fluctuations. Activity of SOD (a), Activity of CAT (b). Mussels were acclimated to high (24-40‰, HS) and low (6-14 ‰, LS) environmental salinity. The control group was held at 18‰. Each bar represents the mean value from 10 samples with the standard error. Results were considered significant when p<0.05 by Mann-Whitney test (n=10). (p <0.05).
ScienceDex guides
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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.