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15,542 results for “How long”
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>
Table 1 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations
<p><i>Table 1.</i> Mean and median life expectancies (in years, with 95% confidence intervals) for bottlenose dolphins in zoological care as calculated by Kaplan-Meier analyses.</p><table><tbody><tr><th>Time period</th><th>Median LE (CI)</th><th>Mean LE (CI)</th></tr></tbody><tbody><tr><th>1974–1982</th><td>9.0 (5.9–11.4)</td><td>10.6 (8.8–12.5)</td></tr><tr><th>1983–1992</th><td>15.3 (12.5–17.1)</td><td>17.3 (15.2–19.4)</td></tr><tr><th>1993–2002</th><td>18.2 (14.1–20.3)</td><td>20.3 (18.0–22.5)</td></tr><tr><th>2003–2012</th><td>29.2 (25.0–32.9)</td><td>28.2 (25.3–31.0)</td></tr></tbody></table>
CO2 Electroreduction to Long-Chain Hydrocarbons on Cobalt Catalysts
<p>Source data for Figures displayed in the manuscript.</p> <p>DFT datasets have been uploaded to the iochem-BD database (<a href="https://doi.org/10.19061/iochem-bd-1-295">https://doi.org/10.19061/iochem-bd-1-295</a>).</p>
Climate change impacts pair-bond dynamics in a long-lived monogamous species
<p>Manuscript title: Climate change impacts pair-bond dynamics in a long-lived monogamous species</p> <p><br>Author(s):<br>Ruijiao Sun<br>Woods Hole Oceanographic Institution<br>Massachusetts Institute of Technology<br>University of California, Santa Barbara, USA<br>ruijiaos@ucsb.edu<br>ruijiaos@icloud.com</p> <p>Christophe Barbraud<br>Centre d’Etudes Biologiques de Chizé, <br>CNRS-La Rochelle University UMR7372, <br>79360 Villiers en Bois, France<br>christophe.barbraud@cebc.cnrs.fr </p> <p>Stéphanie Jenouvrier<br>Biology Department, <br>Woods Hole Oceanographic Institution, <br>Woods Hole, MA 02543, USA<br>sjenouvrier@whoi.edu</p> <p>Karine Delord<br>Centre d’Etudes Biologiques de Chizé, <br>CNRS-La Rochelle University UMR7372, <br>79360 Villiers en Bois, France</p> <p>Kristen Krumhardt<br>Climate and Global Dynamics, <br>NSF National Center for Atmospheric Research (NCAR), <br>Boulder, Colorado, USA</p> <p>Rémi Fay<br>Laboratoire de Biom´etrie et Biologie Évolutive, <br>UMR 5558, Université Claude Bernard Lyon 1, <br>Villeurbanne, France</p> <p>Francesco Ventura<br>Biology Department, <br>Woods Hole Oceanographic Institution, <br>Woods Hole, MA 02543, USA<br>sjenouvrier@whoi.edu</p> <p>Bilgecan Şen<br>Center for Environmental Science,<br>University of Maryland,<br>Cambridge, MD 21613,USA</p> <p> </p> <p>Abstract:<br>Climate change can influence populations of monogamous species by affecting pair-bond dynamics. This study examined the impact of climate on widowhood and divorce, and the subsequent effects on individual vital rates and life-history outcomes over 54 years in a snow petrel (Pagodroma nivea) population. We found that environmental conditions can affect pair-bond dynamics both directly and indirectly. Divorce was adaptive, occurring more frequently after breeding failure and leading to improved breeding success. Divorce probabilities also increased under severe climatic conditions, regardless of prior breeding success, supporting the "Habitat-mediated” mechanisms. Generally, pair-bond disruptions reduced subsequent vital rates and lifetime outcomes. Climate forecasts from an Atmosphere-Ocean General Circulation Model projected increased male widowhood rates due to decreased sea ice negatively affecting female survival, despite considerable uncertainty. These findings highlight the importance of environmentally induced changes in demographic and pair-bond disruption rates as crucial factors shaping demographic responses to climate change. </p> <p>Funding information: <br>This work was supported by the National Science Foundation (OPP 1840058) to SJ and RS. Field data has been collected since 1963 on Ile des Pétrels as part of ORNITHOECO Project 109 "Seabirds and marine mammals as sentinels of global changes in the Southern Ocean”, funded by the French Polar Institute Paul-Emile Victor (IPEV; PI C. Barbraud). Institut Polaire Françis, Paul-Emile Victor (IPEV), Terres Australes et Antarctiques Françaises, and Zone Atelier Antarctique et Terres Australes (LTSER France, CNRS-INEE) provided logistical and financial support. This study is part of the long-term Studies in Ecology and Evolution (SEE-Life) program of the CNRS and a contribution to Project SENSEI (Sentinels of the sea ice) funded by Fondation BNP Paribas.</p> <p>Data location:<br>Ile des Pétrels, Pointe Géologie Archipelago (66°40'S, 140°01'E), Terre Adélie, Antarctica</p> <p>File folder list:<br>Forecast<br>JAGS_models<br>LHO</p> <p>Software:<br>Bayesian multi-state capture-mark-recapture analyses were conducted using JAGS through R. Life history analyses and pair-bond disruption forecasts were performed using MATLAB. All figures were produced in MATLAB.</p> <p>Description:<br>These files contain all the data, code, and model outputs needed to reproduce the results and figures in our study. <br>The data comes from a long-term monitoring project of snow petrels breeds at Ile des Pétrels, Pointe Géologie Archipelago (66°40'S, 140°01'E), Terre Adélie, Antarctica. Since 1963, an annual long-term monitoring study has been conducted. Adults and chicks were leg-banded with stainless-steel bands, with adult sex determined by vocalization and relative size. Nest surveys during incubation and fledging periods determined breeding success and pair identities.</p> <p>There are three main subfolders included: <br>(1) JAGS_models: JAGS code and R code to perform our Multi-state capture-mark-recapture models and corresponding model output; <br>(2) LHO: Code for life-history outcome analysis; <br>(3) Forecast: Climate projection data and code for pair-bond disruption forecast.<br>Each subfolder includes a README.txt file that describes its contents.</p> <p> </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>
Design of facilitated dissociation enables control over cytokine signaling duration - SMT raw data - unstimulated - calibration beads - long term tracking - labelled ligand
<p>This dataset contains the raw data for the Single-molecule tracking data of the manuscript: "Design of facilitated dissociation enables control over cytokine signaling duration". Presicely, it contains the calibration beads for all imaging experiments, the long term tracking experiments, the experiments with labelled ligand and the unstimulated probes</p>
Additional files for Horvath et al., 2024. Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning.
<p>Additional data for Horvath et al., 2024 (source code freeze, models, data, supplementary figures, tables and files(.</p>
ACCESS-ESM-1.5 net-zero emissions 1000-year long simulations: Seasonal temperature and precipitation gridded data with area-average timeseries of temperature, precipitation and sea ice data
<p>NetCDF files used in analysis shown in King et al. (2024) https://egusphere.copernicus.org/preprints/2024/egusphere-2023-2961/.</p> <p>Seasonal-average mapped 1.5 metre air temperature temperature data are in NetCDFs with "fld_s03i236" in their name. These files are for boreal summer "JJA" or boreal winter "DJF". The "B20__" represents the start year of the net-zero emissions simulation from which these data are drawn. These files each have 1000 time-steps and the data are in native resolution of ACCESS-ESM-1.5: 1.875 degrees longitude by 1.25 degrees latitude.</p> <p>Seasonally-averaged precipitation rate (kg/m2/s) data are in NetCDFs with "fld_s05i216" in their name. Seasons and simulation information follow the same format as the temperature files.</p> <p>The file "ts_gwl.nc" includes several timeseries used in the paper including global-average SST ("TEMP_SURFACE"), global mean ocean temperature ("TEMP_GLOBAL"), and March/September Arctic ("ICEN") and Antarctic ("ICES") sea ice extent.</p> <p>The scripts used to make the Figures are included and run using IDL version 9.0. </p> <p>For any advice on using these files please feel free to contact me: andrew.king@unimelb.edu.au.</p>
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.
Bending and Looping of long DNA by Polycomb repressive complex 2 revealed by AFM imaging in liquid
<p><span>Polycomb repressive complex 2 (PRC2) is a histone methyltransferase that methylates histone H3 at Lysine 27. PRC2 is critical for epigenetic gene silencing, cellular differentiation, and the formation of facultative heterochromatin. It can also promote or inhibit oncogenesis. Despite this importance, the molecular mechanisms by which PRC2 compacts chromatin are relatively understudied. Here, we visualized the binding of PRC2 to naked DNA in liquid at the single-molecule level using atomic force microscopy. Analysis of the resulting images showed PRC2, consisting of 5 subunits (EZH2, EED, SUZ12, AEBP2, and RBBP4), bound to a 2.5-kbp DNA with an apparent dissociation constant (<em>K</em><sub>d</sub><sup>App</sup>) of 150 ± 12 nM. PRC2 did not show sequence-specific binding to a region of high GC content (76%) derived from a CpG island embedded in such a long DNA substrate. At higher concentrations, PRC2 compacted DNA by forming DNA loops typically anchored by two or more PRC2 molecules. Additionally, PRC2 binding led to a 3-fold increase in the local bending of DNA's helical backbone and no evidence of DNA wrapping around the protein. We suggest that the bending and looping of DNA by PRC2, independent of PRC2's methylation activity, may contribute to heterochromatin formation and therefore epigenetic gene silencing. </span></p>
Data from: Diversity, dynamics and effects of long terminal repeat retrotransposons in the model grass Brachypodium distachyon
<ul> <li><span>Transposable elements (TEs) are the main reason for the high plasticity of plant genomes, where they occur as communities of diverse evolutionary lineages. Because research has typically focused on single abundant families or summarized TEs at a coarse taxonomic level, our knowledge about how these lineages differ in their effects on genome evolution is still rudimentary. </span></li> <li><span>Here we investigate the community composition and dynamics of 32 long terminal repeat retrotransposon (LTR-RT) families in the 272 Mb genome of the Mediterranean grass <i>Brachypodium distachyon. </i></span></li> <li><span>We find that much of the recent transpositional activity in the <i>B. distachyon </i>genome is due to centromeric <i>Gypsy </i>families and <i>Copia </i>elements belonging to the Angela lineage. With a half-life as low as 66 ky, the latter are the most dynamic part of the genome and an important source of within-species polymorphisms. Second, GC-rich <i>Gypsy </i>elements of the Retand lineage are the most abundant TEs in the genome. Their presence explains more than 20 percent of the genome-wide variation in GC content and is associated with higher methylation levels. </span></li> <li><span>Our study shows how individual TE lineages change the genetic and epigenetic constitution of the host beyond simple changes in genome size. </span></li> </ul>
Wavelet filters for automated recognition of birdsong in long-time field recordings
<p>1. Ecoacoustics has the potential to provide a large amount of information about the abundance of many animal species at a relatively low cost. Acoustic recording units are widely used in field data collection, but the facilities to reliably process the data recorded -- recognising calls that are relatively infrequent, and often significantly degraded by noise and distance to the microphone -- are not well developed yet. 2. We propose a call detection method for continuous field recordings that can be trained quickly and easily on new species, and degrades gracefully with increased noise or distance from the microphone. The method is based on the reconstruction of the sound from a subset of the wavelet nodes (elements in the wavelet packet decomposition tree). It is intended as a preprocessing filter, therefore we aim to minimise false negatives: false positives can be removed in subsequent processing, but missed calls will not be looked at again. 3. We compare our method to standard call detection methods, and also to machine learning methods (using as input features either wavelet energies or Mel-Frequency Cepstral Coefficients (MFCC)) on real-world noisy field recordings of six bird species. The results show that our method has higher recall (proportion detected) than the alternative methods: 87% with 85% specificity on >53 hrs of test data, resulting in an 80% reduction in the amount of data that needed further verification. It detected >60% of calls that were extremely faint (far away), even with high background noise. 4. This preprocessing method is available in our AviaNZ bioacoustic analysis program and enables the user to significantly reduce the amount of subsequent processing required (whether manual or automatic) to analyse continuous field recordings collected by spatially and temporally large-scale monitoring of animal species. It can be trained to recognise new species without difficulty, and if several species are sought simultaneously, filters can be run in parallel.</p>
Data from: Resolving the Northern Hemisphere source region for the long-distance dispersal event that gave rise to the South American endemic dung moss Tetraplodon fuegianus
Premise of the study—American bipolar plant distributions characterize taxa at various taxonomic ranks but are most common in the bryophytes at infraspecific and infrageneric levels. A previous study on the bipolar disjunction in the dung moss genus Tetraplodon found that direct long-distance dispersal from North to South in the Miocene - Pleistocene accounted for the origin of the Southern American endemic Tetraplodon fuegianus, congruent with other molecular studies on bipolar bryophytes. The previous study, however, remained inconclusive regarding a specific Northern Hemisphere source region for the trans-equatorial dispersal event that gave rise to T. fuegianus. Methods—To estimate spatial genetic structure and phylogeographic relationships within the bipolar lineage of Tetraplodon, which includes T. fuegianus, we analyzed thousands of Restriction-site Associated DNA (RADseq) loci and single nucleotide polymorphisms using Bayesian individual assignment and maximum likelihood and coalescent model based phylogenetic approaches. Key results—Northwestern North America is the most likely source of the recent ancestor to T. fuegianus. Conclusions—Tetraplodon fuegianus, which marks the southernmost populations in the bipolar lineage of Tetraplodon, arose following a single long-distance dispersal event involving a T. mnioides lineage that is now rare in the Northern Hemisphere and potentially restricted to the Pacific Northwest region of North America. Furthermore, gene flow between sympatric lineages of Tetraplodon mnioides in the Northern Hemisphere is limited, possibly due to high rates of selfing or reproductive isolation.
Images 13–20 in Long-horned Beetles (Coleoptera: Cerambycidae) and Tortoise Beetles (Chrysomelidae: Cassidinae) of Tripura, northeastern India with some new additions
Images 13–20. Cassidinae beetles.
Images 1–12 in Long-horned Beetles (Coleoptera: Cerambycidae) and Tortoise Beetles (Chrysomelidae: Cassidinae) of Tripura, northeastern India with some new additions
Images 1–12. Cerambycidae beetles.
Long-term stability of cortical ensembles
<p>Neuronal ensembles, coactive groups of neurons found in spontaneous and evoked cortical activity, are causally related to memories and perception, but it still unknown how stable or flexible they are over time. We used two-photon multiplane calcium imaging to track over weeks the activity of the same pyramidal neurons in layer 2/3 of the visual cortex from awake mice and recorded their spontaneous and visually evoked responses. Less than half of the neurons were commonly active across any two imaging sessions. These "common neurons" formed stable ensembles lasting weeks, but some ensembles were also transient and appeared only in one single session. Stable ensembles preserved ~68 % of their neurons up to 46 days, our longest imaged period, and these "core" cells had stronger functional connectivity. Our results demonstrate that neuronal ensembles can last for weeks and could, in principle, serve as a substrate for long-lasting representation of perceptual states or memories.</p>
Functionally distinct tree species support long-term productivity in extreme environments
<p>Dataset used for the article "Functionally distinct tree species support long-term productivity in extreme environments", submitted to <em>Proceedings of the Royal society B</em>. Contains raw output of simulations performed with the ForCEEPS forest gap model (http://capsis.cirad.fr/capsis/help_en/forceeps). For a description of the simulations performed and the dataset, see the associated GitHub (https://github.com/LDelalandre/Project-1_Distinct-sp_BEF) and the article.</p> <p>Simulations are grouped in 11 folders corresponding to the 11 environmental conditions used for simulating community dynamics. Subfolders group outputs by species richness gradients (30 random orders, plus "decreasing" order, which is from the most functionally distinct to the least functioonally distinct species, and "increasing, which is the other way around, and monocultures).</p> <p>For each species richness level (from 1: all the species, to 30, the last species of the richness gradient), four different files were generated:</p> <p>- biomass data: 'complete' (every individual); 'mean' (aggregated at the community level each year);</p> <p>- productivity data: productivity (every individual); productitity_scene (aggregated at the species level each year).</p>
Novel canine high-quality metagenome-assembled genomes by long-read metagenomics together with Hi-C proximity ligation
<p>We characterized a canine fecal sample of a healthy dog by combining a long-read metagenomics assembly (Nanopore sequencing) with Hi-C cross-linking data, and further correction of the frameshift errors. We retrieved and characterized 27 HQ MAGs and seven MQ MAGs considering MIMAG criteria.</p> <p>Find in this repository the final Hi-C genomics bins (CanMAG_XX-HiCbin.fa), including both the genome and the extra-chromosomal elements within the bin. </p> <p> </p>
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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.