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269 results for “memory effect”
Ecological memory effects on plants and soils in early post-fire steppe, Barton Ecological Research Area, Pocatello, Idaho, 2021
In many regions of the world, wildfires are becoming more frequent due to the invasion of exotic grasses that are highly flammable and often replace native plants as burned landscapes regrow. To prevent invasive species from dominating post-burn landscapes, land managers are increasingly applying seeds of native plants to suppress invasive plants and encourage ecosystem recovery. However, there is still much to learn about the ability of seeded species to establish and suppress flammable invaders. It is also unclear how previous human-caused landscape changes, such as nitrogen pollution or the removal of shrubs (a common practice in western USA rangelands), affect the success of native seed additions and plant recovery from fire. This study addresses these issues by building on a long-term experiment investigating the legacy effects of past nitrogen pollution and shrub removal in a highly invaded sagebrush steppe ecosystem at Idaho State University’s Barton Ecological Research Area in Pocatello, ID. This experiment burned in a wildfire in August, 2020, providing a unique opportunity to evaluate how a history of nitrogen pollution and shrub removal influences plant recovery from wildfire. We developed three native seed mixes intended to suppress invasive plants, particularly flammable annual grasses, and in April, 2021, we sowed the experimental mixes into research plots within the original experiment. To measure the initial effects of the experimental seed additions and the legacy effects of previous nitrogen pollution and shrub removal, we collected the data provided here during the summer of 2021, the first growing season following the wildfire. We established 240 monitoring quadrats (1 m²) within the original experiment, dividing the quadrats between areas where shrubs had formerly been (evidenced by stumps) and intershrub areas. At a microhabitat scale, the presence of shrubs alters soil properties and can create legacy effects after shrub death, and we were int
Raw experimental data for `Tailoring the Rotational Memory Effect in Multimode Fibers`
<p>Raw data for the article [**Tailoring the Rotational Memory Effect in Multimode Fibers**](https://arxiv.org/abs/2310.19337)</p><p>Measurement of transmission matrices and rotational memory effect for 4 segments of 50 micron core graded index multimode fibers with a numerical aperture of 0.2.</p>
Series data for the 22PN nonlinear memory effect in the l=2, m=0 mode.
<p>Dataset associated with the preprint arXiv:2407.19017, “Waveform models for the gravitational-wave memory effect: Extreme mass-ratio limit and final memory offset” by Arwa Elhashash and David A. Nichols. It contains the 22 post-Newtonian-order series data for the l=2, m=0 spin-weighted spherical harmonic mode of the gravitational-wave memory signal from an extreme-mass ratio inspiral with nonspinning black holes.</p>
Correcting False Memories: The Effect of Mnemonic Generalization on Original Memory Traces
Open the record for dataset details and reuse information.
Raw data for "Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning"
<p>This is the raw dataset for "Examining the effects of transcranial direct current stimulation on human episodic memory with machine learning". Each .xlsx file represents an experimental results of a single participant.</p> <p>Directory description:</p> <p>Eng_sham - the results from experiments without stimulation on English sample from Medvedeva, 2019.</p> <p>Eng_vlPFC - the results from experiments with vLPFC stimulation on English sample from Medvedeva, 2019.</p> <p>enc_off_new - the results from experiments with dLPFC offline encoding stimulation on Russian sample.</p> <p>enc_on_new - the results from experiments with dLPFC online encoding stimulation on Russian sample.</p> <p>sham_no stimulation - the results from experiments without stimulation offline encoding stimulation on Russian sample.</p> <p>vlPFC_stimulation - the results from experiments with vLPFC stimulation on Russian sample.</p> <p>Age.xlsx - the ages of the participants</p> <p> </p>
An Easy Way to Show Memory Color Effects
<p>This dataset supplements the following article:</p> <p>Witzel, C. (2016). An Easy Way to Show Memory Color Effects. i-Perception, 7(5), 1-11. doi:10.1177/2041669516663751; http://journals.sagepub.com/doi/10.1177/2041669516663751</p> <p>The Excell file includes three sheets. In all sheets, rows correspond to participants, the three first columns provide sex, age, and colour deficiency (0 = colour deficient, 1 = non-deficient). The columns "memcol" provide the main data, i.e. the choice between the grey and the bluish version of the respective stimulus.</p> <p><strong>Sheet 1: Study1</strong></p> <p>Data corresponds to Figure 3: memcol1 = disk, memcol2 = banana.</p> <p><strong>Sheet 2: Study2a</strong></p> <p>Data corresponds to Figure 4: memcol1 = disk, memcol2 = banana, memcol3-6 = Mix1-4.</p> <p><strong>Sheet 3: Study2b</strong></p> <p>Data corresponds to Figure 5: memcol1-4 = Mix1-4.</p>
Dataset of "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"
<p>This dataset supports the article published<em> </em>in the Advanced Energy Materials:</p> <p>"Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"</p> <p> </p> <p>Raw data for the article "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models". For further details see the readme.txt file.</p>
Finite strain continuum phenomenological model describing the shape-memory effects in multi-phase semi-crystalline networks
<p>This dataset comes from the following paper:</p> <p>Matteo Arricca, Nicoletta Inverardi, Stefano Pandini, Maurizio Toselli, Massimo Messori, Giulia Scalet, Finite strain continuum phenomenological model describing the shape-memory effects in multi-phase semi-crystalline networks, Journal of the Mechanics and Physics of Solids, 105955, 2024. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jmps.2024.105955" target="_blank" rel="noopener"><span><span>https://doi.org/10.1016/j.jmps.2024.105955</span></span></a></p> <p>It contains:</p> <ul> <li>"Notes.pdf" describing all the files uploaded</li> <li>. txt experimental data</li> </ul>
Data and R scripts for the paper "New Evidence for a Directed Forgetting Effect in Source Memory and a Role of Source Feature Intrinsicality in the Item-Method"
<p>Data and R scripts from Experiment 1 and 2 of the paper "New Evidence for a Directed Forgetting Effect in Source Memory and a Role of Source Feature Intrinsicality in the Item-Method".</p>
Memory Effects in a Random Walk Description of Protein Structure Ensembles
<p>This <a href="https://www.activepapers.org/">ActivePaper </a>file contains all the code and data that was used in generating the figures for the article "Memory Effects in a Random Walk Description of Protein Structure Ensembles" by Gerald R Kneller and Konrad Hinsen, J. Chem. Phys. <strong>150</strong>, 064911 (2019); <a href="https://doi.org/10.1063/1.5054887">https://doi.org/10.1063/1.5054887</a></p>
Figure 5 in Effect of urban habitats on colony size of ants (Hymenoptera, Formicidae) In memory of Professor A. A. Zakharov (Russian Academy of Sciences, Moscow)
Figure 5. Colony size of species per different geographic area. A – Crematogaster subdentata; B – Lasius neglectus.
Figure 4 in Effect of urban habitats on colony size of ants (Hymenoptera, Formicidae) In memory of Professor A. A. Zakharov (Russian Academy of Sciences, Moscow)
Figure 4. Colony size of 9 species of ants in several habitats of the same geographic area (calculated according to (A. Zakharov, 1978, 2015). A – Lasius fuliginosus; B – Camponotus vagus; C – Lasius emarginatus; D – Lasius niger; E – Formica cinerea; F - Dolichoderus quadripunctatus; G – Lasius brunneus; H – Crematogaster subdentata; I – Lasius neglectus.
Figure 2 in Effect of urban habitats on colony size of ants (Hymenoptera, Formicidae) In memory of Professor A. A. Zakharov (Russian Academy of Sciences, Moscow)
Figure 2. Calculated curve of the size of the ant colony by the intensity of movement of foragers per 1 min along the trail (counting only in one direction, Zakharov, 1979; 2015). Within 14–140 - according to A. Zakharov (1979), from 184 to 307 - our data, with an additional calculation formula in this range of values.
Figure 3 in Effect of urban habitats on colony size of ants (Hymenoptera, Formicidae) In memory of Professor A. A. Zakharov (Russian Academy of Sciences, Moscow)
Figure 3. Colony size in 21 ant species, calculated by the formula of A. Zakharov (1979; 2015). Ukraine: A – Kyiv region, deciduous (Kd) and coniferous (Kp) forests, natural habitats; B – Kyiv, suburban habitats (Ks); C – Kyiv city, urban habitats; D – natural habitats in Crimea (C1 – mountain steppes, C2 – mountain meadows) and in the Carpathians (Carp, mountain meadows); Crimea, steppe areas, natural habitats (C_aet); suburban and urban habitats in Crimea (L_neg, C_sub); Crimea, oak-pistachio-juniper forests, natural habitats (P_tau; F_gag; C_sch); Russian Federation: E, F – Rostov-on-Don, suburban (L_neg_R2) and urban (L_neg_R1; C_sub_R1) habitats; Uzbekistan: G – natural (riparian forests, C_sub_tu) and urban (Tashkent city, everything else) habitats; Russian Federation: H – Ural, natural habitats (taiga). Ant species: L_pla – Lasius platythorax; Dol – Dolichoderus quadripunctatus; L_ful – Lasius fuliginosus; L_ema – Lasius emarginatus; L_bru – Lasius brunneus; F_ruf – Formica rufa; L_nig – Lasius niger; F_cin – Formica cinerea; C_vag – Camponotus vagus; C_aet – Camponotus aethiops; F_tru – Formica truncorum; F_pol – Formica polyctena; L_neg – Lasius neglectus; F_pra – Formica pratensis; P_tau – Plagiolepis tauricus; F_gag – Formica gagates; C_sch – Crematogaster schmidti; C_sub – Crematogaster subdentata; M_ber – Myrmica bergi; P_pal – Plagiolepis pallescens; F_aqu – Formica aquilonia.
Figure 1. D in Effect of urban habitats on colony size of ants (Hymenoptera, Formicidae) In memory of Professor A. A. Zakharov (Russian Academy of Sciences, Moscow)
Figure 1. D Locations of the study. Ukraine: 1 – Crimea (the Main ridge of the Mountainous Crimea and the South Coast, Saki region), 2 – Kyiv and Kyiv region, 3 – Carpathians; Uzbekistan: 4 – Tashkent city, tugai forests; Russian Federation: 5 – Ural, 6 – Rostov-on-Don city and region. Habitats. a – natural, b – suburban, c – urban.
Post-hypnotic suggestion improves confidence and speed of memory access with long-lasting effects
<p>The attempt to improve memory has a long tradition. Previous studies do not provide clear evidence concerning the longevity of memory-improving effects which is crucial for clinical applications. In our study, we use the post-hypnotic suggestion of easy remembering to establish long-lasting effects, as post-hypnotic suggestions can be activated with a cue after the hypnotic state. We tested 24 highly suggestible participants in an online study. Participants learned word lists and recalled them later in a recognition memory task where both learned and new words were presented and participants rated their recognition confidence. At the beginning of the study, participants were hypnotized and the post-hypnotic suggestion to remember easily was associated with a cue that participants used during the recognition memory task in the easy-remembering condition. In a control condition, the same participants used a neutral cue. One week later, participants repeated both conditions with new word lists, relying on the same post-hypnotic suggestion they received the week before.</p> <p>Participants were significantly faster and more confident in their recognition ratings in the easy-remembering condition compared to the control condition, and this effect persisted over one week. Crucially, the increased speed and confidence in the easy-remembering condition did not affect memory accuracy; numerically, participants were even slightly better at discriminating old from new words in the easy-remembering condition. These findings demonstrate that post-hypnotic suggestions of easy remembering improve recognition confidence and speed with long-lasting effects, which makes it a promising intervention for patients experiencing subjective memory impairments.</p> <p>All experimental files to run the study in Gorilla are accessible via this link: https://app.gorilla.sc/openmaterials/430668</p>
Dataset: Age effects in emotional memory and associated eye movements
<p><span>Mnemonic-enhanced memory has been observed for negative events. Here, we investigate its association with spatiotemporal attention, consolidation, and age. An ingenious method to study visual attention for emotional stimuli is eye tracking. Twenty young adults and twenty-one older adults encoded stimuli depicting neutral faces, angry faces, and houses while eye movements were recorded. The encoding phase was followed by an immediate and delayed (48 h) recognition assessment. Linear mixed model analyses of recognition performance with group, emotion, and their interaction as fixed effects revealed increased performance for angry compared to neutral faces in the young adults group only. Furthermore, young adults showed enhanced memory for angry faces compared to older adults. This effect was associated with a shorter fixation duration for angry faces compared to neutral faces in the older adults group. Furthermore, the results revealed that total fixation duration was a strong predictor for face memory performance.</span></p>
Modeling of pressure induced magnetic and magnetocaloric effects in dissipative magnetic shape memory alloy systems
<p>This article presents a coupled magneto-thermo-mechanical model of pressure-dependent Magneto-caloric Effect (MCE) and magnetization responses for polycrystalline Magnetic Shape Memory Alloys (MSMA). Coupled constitutive equations are derived from a Helmholtz free energy function in a consistent thermodynamic way. The hysteretic and dissipative characteristics of phase transformations in MSMAs are captured by the internal state variables approach with their evolution equations. The model is calibrated and validated with the existing experimental data. The validated constitutive model is then exploited to predict MCEs at different pressures and magnetic field levels. Some predicted results are compared with the available experimental data.</p>
Neuroimaging the Effects of Intravenous Anesthetic on Amygdala Dependent Memory Processes
ClinicalTrials.gov study NCT00504894. IPD Sharing: NO. Countries: 1. Publications: 1.
The Effect of Cannabidiol in Learning and Memory of Adults
ClinicalTrials.gov study NCT06074172. IPD Sharing: YES. Countries: 1. Publications: 1.
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.