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6,569 results for “Long-term”
Data for Huang, Luo, et al., Dopamine-mediated interactions between short- and long-term memory dynamics, Nature, 2024
<p>Zip files contain voltage imaging traces and on-ball behavioral data from the five main figures in Huang, Luo, et al., Dopamine-mediated interactions between short- and long-term memory dynamics, Nature, 2024</p>
Analysis results for association study of long-term kidney transplant rejection using whole-exome sequencing
<p>Association study results for long-term kidney transplant rejection. Single-variant association results are provided as Plink output files. Meta-analysis results are provided as METAL output files. FDR results are sorted lists of the top association result from random sample label permutations and are included with the plink and meta-analysis results. SKAT and GSEA results are provided for gene and pathway level analyses, respectively.</p>
Drier tropical forests are susceptible to functional changes in response to a long-term drought
<p>Maps created and resulting data from analysis in changes in community weighted mean of traits. The raw trait data and forest census data used are available from their sources in www.<a href="http://gem.tropicalforests.ox.ac.uk/">gem.tropicalforests.ox.ac.uk</a> and ForestPlots.net.</p>
(06)-He2019A-DS0001 – Tribolium castaneum foxQ2-5' line long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
<p>(06)-He2019A-DS0001 – <em>Tribolium castaneum</em> foxQ2-5' line long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy</p>
A set of videos recorded upon long-term thermocycling experiments carried out by using small containers filled with PCM candidates
<p> </p> <p>Electronic Supplementary Material for Deliverable 2.7 "<strong>Report on the final heat storage block design and long term reliability experiments".</strong></p> <p>A set of fast-forward videoclips compiled based on the images recorded during the long-term experiments on small containers filled with PCM candidates and subjected to thermocycling procedure including consecutive melting/solidification. Details on involved materials and applied temperature profiles are described in D2.7.</p> <p> </p> <p>The list of attached movies:</p> <p> </p> <p><strong>2908</strong>: Si+B mixture (3.2B wt%)/small container made of pure h-BN HeBoSint D100 (Henze, Germany)</p> <p><strong>2909</strong>: Si+B mixture (3.2B wt%)/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p><strong>2910</strong>: Si+B mixture (3.2B wt %)/small container made of porous graphite (Kryzaplast, Poland)</p> <p><strong>2911</strong>: Si+B mixture (3.2B wt %)/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p><strong>2969:</strong> Fe-Si-B alloy produced by NTNU/small container made of dense graphite IG-15 (Tanso, Sweden)</p> <p><strong>2970</strong>: Fe-Si-B alloy produced by NTNU/small container made of pure h-BN HeBoSint D100 (Henze, Germany)</p> <p><strong>2971:</strong> Fe-Si-B alloy produced by NTNU/small container made of h-BN composite HeBoSint O120 (Henze, Germany)</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</p>
Soil bacterial biodiversity is driven by long-term pasture management, poultry litter, and cattle manure inputs
<p>These raw data is used as the supplementary information for the manuscript "Soil bacterial biodiversity is driven by long-term pasture management, poultry litter, and cattle manure inputs". </p>
Sustainability-Based Long-Term Management of Bridges under Multi-Hazard Exposure
<p>Corresponding data set for Tran-SET Project No. 17STOKS01. Abstract of the final report is stated below for reference:</p> <p>"Bridges are under deterioration due to various mechanical and environmental stressors. Hydraulic-related hazards (e.g., flood and scour), aggressive environmental conditions, and seismic events (e.g., earthquake) are recognized as the most significant threats to the safety of bridges. In traditional risk assessment methods for structures susceptible to damage due to floods and other natural hazards (e.g., corrosion and seismic events), future hazard predictions are conducted using historic return periods and climate records. However, recent increase in flood intensity in central-southern states indicate that future hazard occurrence rate may not necessarily follow past trends. Accordingly, current design, assessment, and management methodologies should adapt to these changes in order to ensure the satisfactory performance of bridges under the combined or cumulative action of hazards. This project addresses this need by presenting a framework for risk quantification and optimum management of bridges susceptible to damage due to floods, flood induced scour, and other gradual deterioration mechanism (e.g., corrosion and fatigue). Downscaled climate data, adopted from the global climate models, are employed to predict future flood hazard at a given location. Probabilistic simulation is used to quantify the time-dependent failure probability, which subsequently helps quantify the long-term sustainability through the systematic integration of economic, social, and environmental metrics associated with bridge failures. These profiles can be next used to obtain optimum interventions required to extend the service life while maintaining the structural performance above prescribed thresholds."</p>
Simulated corn yield, drainage nitrate load and residual soil nitrate as affected by weather, management and soil-state at seven long-term US Midwest research sites
<p>This data set is the product of a factorial simulation experiment designed to quantify the impact of five environmental factors and five management practices on NO<sub>3</sub> leaching and yield in corn cropping systems. The simulation model used was the Agricultural Production Systems SImulator (APSIM; <a href="https://www.apsim.info/">https://www.apsim.info/</a>). Description of the simulation factors are provided in the metadata.txt file. </p> <p> </p> <p> </p>
Long-term data from field erosion plot studies in eastern Austria
<p>Long-term runoff plot experiments were conducted at three sites in eastern Austria to evaluate the impact of conservation tillage. Following soil tillage treatments were investigated: 1) conventional tillage with ploughing in fall (CT), 2) mulch tillage with cover crops during winter period (MT), and 3) no tillage with cover crops during winter period (NT). Soil textures range from silt loam to loam.</p> <p>Datasets include for each site and each year the period of operation of the plots, the planted crop, the annual precipitation, surface runoff, soil loss, surface losses of nitrogen, phopshorus and soil organic carbon as well as absolute and relative crop yields.</p>
Long-term data from field erosion plot studies in eastern Austria
<p>Long-term runoff plot experiments were conducted at three sites in eastern Austria to evaluate the impact of conservation tillage. Following soil tillage treatments were investigated: 1) conventional tillage with ploughing in fall (CT), 2) mulch tillage with cover crops during winter period (MT), and 3) no tillage with cover crops during winter period (NT). Soil textures range from silt loam to loam.</p> <p>Datasets include for each site and each year the period of operation of the plots, the planted crop, the annual precipitation, surface runoff, soil loss, surface losses of nitrogen, phopshorus and soil organic carbon as well as absolute and relative crop yields.</p>
The data for the article entitled "Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem"
<p>The data for the article entitled "Soil carbon release responses to long-term versus short-term climatic warming in an arid ecosystem" Yu et al. </p>
Investigation of satellite vertical sensitivity on long-term retrieved lower tropospheric ozone trends
<p>Regional time-series (monthly mean) of lower tropospheric column ozone (LTCO3; 0-6 km or surface to 450 hPa) between 2008 and 2017 from three satellite products and an Earth System Model (UKESM1.0 - https://ukesm.ac.uk/). The regions of focus are North America, Europe and East Asia based on the HTAP-2 land mask (https://htap.org/). The three satellite products are from the Ozone Monitoring Instrument (OMI) (RAL Space - https://www.ralspace.stfc.ac.uk/Pages/Remote-Sensing.aspx), the Infrared Atmospheric Sounding Interferometer (IASI) FORLI (Fast Optimal Retrievals on Layers for IASI) scheme (https://iasi.aeris-data.fr/cos_iasi_b_arch/) and the IASI SOFRID (SOftware for Fast Retrievals of IASI Data) scheme (https://iasi-sofrid.sedoo.fr/). These data have been used to investigate long-term trends and investigation of satellite long-term discrepancies in retrieved LTCO3. The pre-print of the relevant manuscript can be found at https://doi.org/10.5194/egusphere-2023-3109. </p>
Wave-influenced Delta Morphodynamics, Long-term Sediment Bypass and Trapping Controlled by Relative Magnitudes of Riverine and Wave-driven Sediment Transport
<p>This repository contains supporting data for *Wave-influenced Delta Morphodynamics, Long-term Sediment Bypass and Trapping Controlled by Relative Magnitudes of Riverine and Wave-driven Sediment Transport,* submitted to Geophysical Research Letters.</p> <p>Delft3D Config for Q1000Qs100Hs15.docx → contains configuration file info for running the Delft3d simulation Q1000Qs100Hs15.</p> <p>Matlab 2022b was used to load Delft3D output files and process the data.</p> <p>WaveDelta_Depth&DepositThick.mat Contains:</p> <p>Depth → timesteps x 322 x 142. Timesteps are variable for each simulation.</p> <p>MSEDRiverSum → 4 x 322 x 142. Mass of sediments from riverine source at four intermediate timesteps. </p> <p>MSEDWaveSum → 4 x 322 x 142. Mass of sediments from longshore transport (LSTUp) source at four intermediate timesteps.</p> <p>VolRiverSum → 322 x 142. Final Volume of sediments from riverine source.</p> <p>VolWaveSum → 322 x 142. Final Volume of sediments from longshore transport (LSTUp) source.</p> <p>XCOR & YCOR are the X and Y grid coordinate locations for maps (322 x 142).</p> <p>Shift2&4km are used for cases highly skewed downdrift to correct for 0 location at the river mouth.</p> <p>Cerc_formula.mlx Computes CERC longshore transport for the simulation conditions.</p> <p>J.mlx calculates river mouth balance (J) values (Nienhuis et al. (2016)) presented in Figure S4. </p> <p>Additional 114 Figures are provided in Data_Visualization_Figures.rar to show Depth and thickness; subaqueous morphodynamics and depth and sediment transport (quiver).</p>
Long-Term Physiological Adaptations Induced by Short-Interval High-Intensity Exercises
Open the record for dataset details and reuse information.
Shapefiles showing the locations of long-term climate change refugia and hotspots identified in the FutureMARES report "D6.3, Climate ready strategies for nature-based solutions"
<p>Shapefiles created for the report "D6.3, Climate ready strategies for nature-based solutions", a deliverable report from the Horizon Europe project FutureMARES</p> <p>These shapefiles summarise long-term patterns that emerge from the spatial-meta analysis of physical-biogeochemical and species distribution modelling data, providing an overview of the distribution of climate change refugia and climate change hotspots across six European case study areas between 2026 - 2069, and across the five scenarios considered in the FutureMARES project (Global Sustainability RCP2.6, National Enterprise RCP8.5, World Market RCP8.5, Status Quo RCP2.6 and Status Quo RCP8.5). </p> <p>Filenames refer to the case study area and scenario each set of shapefiles belong to. Details of the modelling datasets used in each of these analyses, the meta-analysis method and shapefile creation can be found in the relevant chapter in the report "D6.3, Climate ready strategies for nature-based solutions".</p>
Database on chemotherapy-induced cognitive impairment and its long-term development in patients with breast cancer - results from the observational CICARO Study
<p>Raw data and edited data on the observational CICARO-study on chemotherapy-induced cognitive impairment and its long-term development in patients with breast cancer</p>
Data for Paper: A rigorous optimization method for long-term multi-stage investment planning: Integration of hydrogen into a decentralized multi-energy system
<p>Data containing the results and figures presented in the paper "A rigorous optimization method for long-term multi-stage investment planning: Integration of hydrogen into a decentralized multi-energy system" by Luka Bornemann and Jelto Lange and Martin Kaltschmitt, submitted to the Journal Energy Reports.</p>
Raw images, video, and data file for the manuscript "Fabrication of Low-Cost, High-Resolution Open Capillary Microfluidics towards Self-Sustaining, Long-Term Hydration of Engineered Living Materials"
<p>This dataset includes the raw images and data file in the manuscript "Fabrication of Low-Cost, High-Resolution Open Capillary Microfluidics towards Self-Sustaining, Long-Term Hydration of Engineered Living Materials", specifically:</p> <ul> <li>Raw images for the optimized print with the PEGDA-glycerol-water resin (Figure 2 & Figure S2)</li> <li>Raw images for the optimized print with the PEGDA-glycerol-LB resin (Figure 2)</li> <li>Raw images for the optimized print with the BSA-PEGDA-water resin (Figure 3)</li> <li>Raw images and video for the spontaneous capillary flow of LB media in a PEGDA-glycerol-LB microfluidic chip (Figure 4)</li> <li>Raw data for the UV-vis spectrum of LB media (Figure S4)</li> </ul>
Code and Data for "Green Growth in the Mirror of History: Long-Term Evidence on Decoupling Emissions from GDP"
<p><span>The code and files contained in this repository allow for the reproduction of the results and figures from the paper <em>“Green Growth in the Mirror of History: Long-Term Evidence on Decoupling Emissions from GDP”</em> (submitted to <em>Nature Communications</em>). In particular, it generates the historical database of gross domestic product (GDP), population, and greenhouse gas emissions (GHGe) at the national, regional, and global levels from 1820 to 2022. It also includes the code required for data processing and allows reproduction of all figures and analyses in the manuscript.</span></p> <p><span>The repository is organized into a set of folders functioning as an R project. </span><span>These folders are as follows:</span></p> <p><span><span>·<span> </span></span></span><strong><span><span>data_input:</span></span></strong><span><span> Contains the databases and files necessary to run our code that have been preprocessed by ourselves. The databases which we have not preprocessed are downloaded directly from their original sources using the links provided in the R scripts. These databases were created by other researchers. Please cite the original databases if you use them directly.</span></span></p> <p><span><span><span>·<span> </span></span></span></span><strong><span><span>code:</span></span></strong><span><span> Contains R scripts used to process the datasets from data_input and to produce the figures. These scripts are:</span></span></p> <p><span><span>o<span> </span></span></span><strong><span><span>common.</span></span><span><strong>R</strong> </span></strong><span>contains code that is sourced in the other scripts and does not need to be run by the user.</span></p> <p><span><span>o<span> </span></span></span><strong><span>input_processing.R</span></strong><span> processes the data input to generate the main dataset saved in the folder data_output and used to make the figures.</span></p> <p><span><span>o<span> </span></span></span><strong><span>figures.R</span></strong><span> contains the code that processes the main dataset to produce each figure.</span></p> <p><span><span>·<span> </span></span></span><strong><span><span>data_output:</span></span></strong><span><span> Contains datasets generated by the scripts contained in<strong> </strong>input_processing.R that are used to produce the figures.</span></span></p> <ul> <li><strong><span>figures:</span></strong><span> This folder contains all the figures produced by figures.R. Note that some figures also underwent purely aesthetic edits in external software (Adobe Illustrator) for clarity purposes.</span></li> </ul>
Data from: Plant community responses to long-term fertilization: changes in functional group abundance drive changes in species richness
Declines in species richness due to fertilization are typically rapid and associated with increases in aboveground production. However, in a long-term experiment examining the impacts of fertilization in an early successional community, we found it took 14 years for plant species richness to significantly decline in fertilized plots, despite fertilization causing a rapid increase in aboveground production. To determine what accounted for this lag in the species richness response, we examined several potential mechanisms. We found evidence suggesting the abundance of one functional group—tall species with long-distance (runner) clonality—drove changes in species richness, and we found little support for other mechanisms. Tall runner species initially increased in abundance due to fertilization, then declined dramatically and were not abundant again until later in the experiment, when species richness and the combined biomass of all other functional groups (non-tall runner) declined. Over 86 % of the species found throughout the course of our study are non-tall runner, and there is a strong negative relationship between non-tall runner and tall runner biomass. We therefore suggest that declines in species richness in the fertilized treatment are due to high tall runner abundance that decreases the abundance and richness of non-tall runner species. By identifying the functional group that drives declines in richness due to fertilization, our results help to elucidate how fertilization decreases plant richness and also suggest that declines in richness due to fertilization can be lessened by controlling the abundance of species with a tall runner growth form.
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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.