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.
795
datasets available to search
ShareScore release 0.9.0
Dataset results
795 results for “fluctuations”
Theoretical Framework for Measuring Cloud Effective Supersaturation Fluctuations using an Advanced Optical System
Open the record for dataset details and reuse information.
Data Files for P. Mai et al., "Fluctuating charge-density-wave correlations in the three-band Hubbard model" (2024)
<p>These are the data for P. Mai et al., "Fluctuating charge-density-wave correlations in the three-band Hubbard model" (2024)</p> <p>arXiv reference: https://arxiv.org/abs/2405.13164</p> <p>This work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Award Number DE-SC0022311. This research used resources of the Oak Ridge Leadership Computing Facility, a DOE Office of Science User Facility supported under Contract No. DE-AC05-00OR22725.</p>
Active fluctuations of axoneme oscillations scale with number of dynein motors
<p> </p> <p>The dataset published here was used to measure the<strong> phase fluctuations</strong> <strong>(frequency jitter) </strong>of isolated and <strong>reactivated axonemes from <em>Chlamydomonas reinhardtii </em></strong>as a function of the dynein motor density in these axonemes. <br>The corresponding article is published in PNAS: https://doi.org/10.1073/pnas.2406244121</p> <p>Axonemes were isolated from wt(cc-125) and oda1(cc-2228) cells.</p> <p>Reactivation was performed:<br>(1) after dynein extraction with different amounts of salt (KCL) or<br>(2) in the presence of different concentrations of ATP .</p> <p>For all experimental conditions we provide the following data files:<br><br></p> <p><strong>Movies of reactivated axonemes:</strong></p> <p>Reactivated axonemes were imaged with phase-contrast microscopy. Recorded movies are organized in folders (.zip) which are labeled according to the respective reactivation condition (KCL and ATP concentration as well as the <em>Chlamydomonas</em> strain, from which the axonemes were purified, e.g. <strong>50mM_KCl_750uM_ATP_ODA_Extracted.zip</strong>).</p> <p>Those folders contain (1) movie files (multilayer .tif) of single axonemes and (.txt) files with a corresponding number-label (with microscope, camera settings and experimental condition (<em>Chlamydomonas</em> strain, [ATP], [KCL]).</p> <p>Using the number-label, the corresponding data file can be identified. <br><br></p> <p><strong>Data files (for the corresponding movies):</strong></p> <p>The experimental data is organized in MATLAB (.mat) files. Those files contain shape and waveform information (see below) for the respective reactivation condition (axoneme type, [ATP], [KCL] detailed below the file name).</p> <p><strong>WT_KCL_master.mat</strong> - WT axonemes, KCL extracted and reactivated with 750uM ATP</p> <p><strong>0mM_KCl_750uM_ATP_WT_Extracted<br>50mM_KCl_750uM_ATP_WT_Extracted<br>100mM_KCl_750uM_ATP_WT_Extracted<br>200mM_KCl_750uM_ATP_WT_Extracted<br>300mM_KCl_750uM_ATP_WT_Extracted<br>400mM_KCl_750uM_ATP_WT_Extracted<br></strong></p> <p><strong>WT_ATP_master.mat </strong> - WT axonemes reactivated with different ATP concentraions</p> <p><strong>0mM_KCl_50uM_ATP_WT<br>0mM_KCl_100uM_ATP_WT<br>0mM_KCl_370uM_ATP_WT<br>0mM_KCl_500uM_ATP_WT<br>0mM_KCl_750uM_ATP_WT<br></strong></p> <p><strong>ODA_KCL_master.mat </strong>- ODA axonemes, KCL extracted and reactivated with 750uM ATP</p> <p><strong>0mM_KCl_750uM_ATP_ODA_Extracted<br>50mM_KCl_750uM_ATP_ODA_Extracted<br>100mM_KCl_750uM_ATP_ODA_Extracted<br>200mM_KCl_750uM_ATP_ODA_Extracted<br>300mM_KCl_750uM_ATP_ODA_Extracted<br></strong></p> <p><strong>ODA_ATP_master.mat</strong> - ODA axonemes reactivated with different ATP concentraions</p> <p><strong>0mM_KCl_70uM_ATP_ODA<br>0mM_KCl_100uM_ATP_ODA<br>0mM_KCl_370uM_ATP_ODA<br>0mM_KCl_500uM_ATP_ODA<br>0mM_KCl_750uM_ATP_ODA</strong></p> <p>Each file includes a data-cell ‘Master’ with a columns for the different experimental conditions (e.g. concentrations of ATP or KCL). Data-cells contain one structure for each axoneme. </p> <p> </p> <p>These structures have the following fields:</p> <p>nframe… number of frames of the dataset</p> <p>phi_in_rad… phase angle (beat-cycle-phase) (rad)</p> <p>tangent_angle_psi_in_rad… the tangent angle for 24 positions along arc-length (rad)</p> <p>xy_in_micron… the x,y positions (µm)</p> <p>dt_in_second… time between adjacent frames (second)</p> <p>ds_in_micron… spacing between adjacent arc-length positions (µm)</p> <p>f0_in_Hz… beat frequency (Hz)</p> <p>A… beat amplitude (arc-length average) (rad)</p> <p>Q… quality factor</p> <p>sexp… string with experiment label</p> <p>KCL_in_mM… KCL concentration (mM) used for dynein extraction</p> <p>ATP_in_uM… ATP concentration (mM) used for reactivation</p> <p>File… filename, includes a number-label that corresponds to the imaging data provided</p>
Publication data for "Symmetry breaking fluctuations split the porphyrin Q bands"
<p>This directory contains all files necessary to reproduce the data presented in "Symmetry breaking fluctuations split the porphyrin Q bands" by Z. R Wiethorn, K. E. Hunter, A. Montoya-Castillo and T. J. Zuehlsdorff.<span> </span></p> <p>The folder "Frequency_analysis" contains input and output files for Gaussian ground-state frequency calculations of porphine, TPP, and TPPL.</p> <p>The folder "MD_simulations" contains raw trajectory files, as well as all input data necessary to reproduce QM/MM simulations of porphine, TPP and TPPL in CS2 solvent. Calculations are run using an interface between the classical MD code AMBER and thequantum chemistry code TeraChem. AMBER .paramtop and restart files, as well as Terachem files for the QM region are provided. Additionally, example terachem files for computing vertical excitation energies for individual snapshots are provided.</p> <p>The folder spectra_generation contains raw data of transition dipole and energy gap fluctuationsalong the MD trajectory, after the appropriate Eckart rotation and determination of the correct sign of the dipole moment. It also contains input files for the MolSpeckPy code, that can beused to generate spectra in the GCT and GNCT schemes. Finished spectra, energy gap and dipole spectral densities that are analysed in the main text are also provided. Additionally, we provide input and output files to compute optical spectra for TPPL and TPPL without its phenol rings in the FCHT scheme implemented in Gaussian.</p>
Design and preliminary set-up of an experimental apparatus for continuous measurement of soil – gas pressure fluctuations in active seismogenic environments
Open the record for dataset details and reuse information.
Data from: Linking genetic diversity and temporal fluctuations in population abundance of the introduced feral cat (Felis silvestris catus) on the Kerguelen Archipelago.
Linking temporal variations of genetic diversity, including allelic richness and heterozygosity, and spatio-temporal fluctuations in population abundance has emerged as an important tool for understanding demographic and evolutionary processes in natural populations. This so-called 'genetic monitoring' was conducted across 12 consecutive years (1996-2007) at three sites for the feral cat, introduced onto the Kerguelen Archipelago fifty years ago. Temporal changes in allelic richness and heterozygosity at 18 microsatellite DNA loci were compared to temporal changes in the adult population abundance index, obtained by typical demographic monitoring. No association was found at the island spatial scale but we observed an association between genetic diversity and adult population indices from year to year within each study site. More particularly, the magnitude of successive increases or decreases in the adult population abundance index appeared to be the major factor linking the trajectories of genetic diversity and adult population abundance indices. Natal dispersal and/or local recruitment, both facilitated by high juvenile survival when the adult population size is small, are proposed as the major demographic processes contributing to such an observed pattern. Finally, we suggested avoiding the use of the harmonic mean as an estimator of long-term population size to study the relationships between demographic fluctuations and heterozygosity in populations characterized by strong multi-annual density fluctuations.
Data from: Trade-offs in lactation and milk intake by competing siblings in a fluctuating environment
Income breeders which forage without their offspring in attendance should adjust nursing frequency and the quantity and composition of milk to prevailing ecological conditions, and increase the quantity or quality of milk transferred if the frequency of nursing visits declines. When milk delivery to a litter is insufficient, sibling competition should skew milk consumption in favor of dominant litter members. We quantified milk nutritional composition and gross energy density, nursing bout durations, per capita milk transfer (kg), and milk transfer rate (g/min) per nursing bout in singletons and twins in a social carnivore, the spotted hyena. In our study population, the energetic cost of lactation is rank dependent and particularly high because large fluctuations in local prey abundance necessitate long-distance foraging, reducing nursing frequency and intensifying sibling competition, more frequently for low-ranking than high-ranking females. Females increased milk gross energy density, driven by fat content, and increased nursing bout durations as nursing frequency declined. Milk transfer increased as social status declined. Females below median rank also increased milk transfer as nursing frequency declined. Milk transfer was independent of nursing frequency in females above median rank and higher for singletons than cubs in twin litters. Dominant siblings achieved significantly higher amounts and rates of milk transfer than their paired subordinate littermates; this bias increased as sibling competition intensified. Our results show how the interplay between ecological and social constraints determines the quality and quantity of milk transferred, and how socially dominant siblings use aggression to skew milk intake in their favor.
Data from: Trait-demography relationships underlying small mammal population fluctuations
Large-scale fluctuations in abundance are a common feature of small mammal populations and have been the subject of extensive research. These demographic fluctuations are often associated with concurrent changes in the average body mass of individuals, sometimes referred to as the 'Chitty effect'. Despite the long-standing recognition of this phenomenon, an empirical investigation of the underlying coupled dynamics of body mass and population growth has been lacking. Using long-term life-history data combined with a trait-based demographic approach, we examined the relationship between body mass and demography in a small mammal population that exhibits non-cyclic, large-scale fluctuations in abundance. We used data from the male segment of a 25-year study of the monogamous prairie vole, Microtus ochrogaster, in Illinois, USA. Specifically, we investigated how trait–demography relationships and trait distributions changed between different phases of population fluctuations, and the consequences of these changes for both trait and population dynamics. We observed phase-specific changes in male adult body mass distribution in this population of prairie voles. Our analyses revealed that these changes were driven by variation in ontogenetic growth, rather than selection acting on the trait. The resulting changes in body mass influenced most life-history processes, and these effects varied among phases of population fluctuation. However, these changes did not propagate to affect the population growth rate due to the small effect of body mass on vital rates, compared to the overall differences in vital rates between phases. The increase phase of the fluctuations was initiated by enhanced survival, particularly of juveniles and fecundity, whereas the decline phase was driven by an overall reduction in fecundity, survival and maturation rates. Our study provides empirical support, as well as a potential mechanism, underlying the observed trait changes accompanying population fluctuations. Body size dynamics and population fluctuations resulted from different life-history processes. Therefore, we conclude that body size dynamics in our population do not drive the observed population dynamics. This more in-depth understanding of different components of small mammal population fluctuations will help us to better identify the mechanistic drivers of this interesting phenomenon.
Environmental drivers of annual population fluctuations in a trans-Saharan insect migrant
<p>Many latitudinal insect migrants, including agricultural pests, disease vectors and beneficial species, show huge fluctuations in the year-to-year abundance of spring immigrants reaching temperate zones. It is widely believed that this variation is driven by climatic conditions in the winter-breeding regions, but evidence is lacking. We identified the environmental drivers of the annual population dynamics of a cosmopolitan migrant butterfly (the painted lady Vanessa cardui), using a combination of long-term monitoring, climate and atmospheric data within the western part of its Afro-Palearctic migratory range. Our population models show that a combination of high winter NDVI (normalised difference vegetation index) in the Savannah/Sahel of sub-Saharan Africa, high spring NDVI in the Maghreb of North Africa, and frequent favourably-directed tailwinds during migration periods, are the three most important drivers of the size of the immigration to Western Europe, while our atmospheric trajectory simulations demonstrate regular opportunities for windborne trans-Saharan movements. The effects of sub-Saharan vegetative productivity and wind conditions confirm that painted lady populations either side of the Sahara are linked by regular mass migrations, making this the longest annual insect migration circuit so far known. Our results provide the first quantification of the environmental drivers of large annual population fluctuations of an insect migrant, and hold much promise for predicting invasions of migrant insect pests, disease vectors and beneficial species.</p>
Data and code for the publication of "Fluctuating hydrodynamics of chiral active fluids"
<p>We provide all the data used to make the plots in main figures, extended figures and supplementary figures in our paper "Fluctuating hydrodynamics of chiral active fluids". </p> <p> </p> <p>We also provide codes to reproduce the simulation results shown in the paper</p>
Figure 4 in Seasonal population fluctuation and spatial distribution of Orthoptera in two grassland areas of Attica - Greece
Figure 4. Mean number of Chorthippus bornhalmi per sample in the mountain station through a 2-year study.
Figure 3 in Seasonal population fluctuation and spatial distribution of Orthoptera in two grassland areas of Attica - Greece
Figure 3. Mean number of Dociostaurus maroccanus per sample in the lowland station through a 2-year study.
Figure 1 in Seasonal population fluctuation and spatial distribution of Orthoptera in two grassland areas of Attica - Greece
Figure 1. Mean number of individuals per sample of Acrididae, Tettigoniidae and Gryllidae families in the lowland station through a 2-year study.
Figure 2 in Seasonal population fluctuation and spatial distribution of Orthoptera in two grassland areas of Attica - Greece
Figure 2. Mean number of individuals per sample of Acrididae, Tettigoniidae and Gryllidae families in the mountain station through a 2-year study.
Figure 1 in Fluctuating asymmetry in populations of the South American frog Physalaemus cuvieri (Leptodactylidae) in areas with different degrees of disturbance
Figure 1. Ecological Station of Minas Gerais Federal University (EEUFMG) and Serra do Cipó National Park (PNSC), located at Minas Gerais State, southeastern Brazil. State boundaries are represented by black lines, while rivers, lakes and sea are represented in grey. State capitals are represented by white circles.
Figure 1 in Natural history of Peucetia flava (Araneae, Oxyopidae): seasonal density fluctuation, phenology and sex ratio on the glandular plant Rhyncanthera dichotoma (Melastomataceae)
Figure 1. (A) Seasonal fluctuations in the number of Peucetia flava individuals, egg sacs, abundance of leaves, flowers and fruits of Rhyncanthera dichotoma; (B) monthly rainfall and temperature variation during the study period (data from a meteorological station approximately 7 km from the study site); and (C) seasonal fluctuations in the numbers of free arthropods and of arthropods adhering to the glandular trichomes on leaves of R. dichotoma.
Data for "Fluctuation-induced quantum friction in nanoscale water flows"
<p>This is the data supporting the paper "Fluctuation-induced quantum friction in nanoscale water flows" by N. Kavokine, M.-L. Bocquet and L. Bocquet (arXiv 2105.03413). </p>
Suplemental data for the article: Influence of envelope fluctuation on the lateralization of interaurally delayed low-frequency stimuli.
<p>Original as well as derived data for the paper: Encke, Jörg, and Dietz Mathias (2021)</p>
Codes and data regarding "Temporal dissipative structures in optical Kerr resonators with transient loss fluctuation"
<p>Here we upload codes and figure data relate to the article "Temporal dissipative structures in optical Kerr resonators with transient loss fluctuation" that was published on Optics Express (<a href="https://doi.org/10.1364/OE.439212">https://doi.org/10.1364/OE.439212</a>)</p> <p>Please note that the codes have been tested using Matlab in the version of 2019a.</p> <p>The ".opj" and ".opju" files in the folder "Figure_data" can be opened via <a href="https://www.originlab.com/viewer/">the Origin viewer</a> (a free app published by Originlab)</p>
Growth, stress and acclimation responses to fluctuating temperatures in field and domesticated populations of Manduca sexta
<p>Diurnal fluctuations in temperature are ubiquitous in terrestrial environments, and insects and other ectotherms have evolved to tolerate or acclimate to such fluctuations. Few studies have examined whether ectotherms acclimate to diurnal temperature fluctuations, or how natural and domesticated populations differ in their responses to diurnal fluctuations. We examine how diurnally fluctuating temperatures during development affect growth, acclimation and stress responses for two populations of Manduca sexta: a field population that typically experiences wide variation in mean and fluctuations in temperature, and a laboratory population that has been domesticated in nearly constant temperatures for more than 300 generations. Laboratory experiments showed that diurnal fluctuations throughout larval development reduced pupal mass for the lab but not the field population. The differing effects of diurnal fluctuations were greatest at higher mean temperature (30 °C): here diurnal fluctuations reduced pupal mass and increased pupal development time for the lab population, but had little effect for the field population. We also evaluated how mean and fluctuations in temperature during early larval development affected growth rate during the final larval instar as a function of test temperature. At an intermediate (25 °C) mean temperature, both the lab and field population showed a positive acclimation response to diurnal fluctuations, in which subsequent growth rate was significantly higher at most test temperatures. In contrast at higher mean temperature (30 °C), diurnal fluctuations significantly reduced subsequent growth rate at most test temperatures for the lab population, but not for the field population. These results suggest that during domestication in constant temperatures, the lab population has lost the capacity to tolerate or acclimate to high and fluctuating temperatures. Population differences in acclimation capacity in response to temperature fluctuations has not been previously demonstrated, but they may be important for understanding the evolution of reaction norms and performance curves. </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.