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739 results for “data loss”
Data for: Ecological interactions mediate projected loss of kelp biomass under climate change
<p>This dataset contains the data used to define a stacked species distribution model (SDM) for kelp (<em>Ecklonia radiata</em>) and urchins (<em>Centrostephanus rodgersii</em>) in eastern Australia. The spatial extent of this study encompasses the eastern coast of Australia, between 28.0–37.5°S. Within this region, <em>E. radiata</em> is the only laminarian kelp species, while <em>C. rodgersii </em>is the dominant urchin species, with ecological interactions between these two species creating a patchwork of kelp forests and urchin barrens on shallow reefs.</p>
Data for: Loss of the world's smallest forests
<p>A large number of small forests typically harbor higher biodiversity than a small number of large forests totaling the same area, suggesting that small patches are disproportionately valuable for biodiversity conservation. However, policies often favor protection of large forest patches. Here we demonstrate a global trend of higher deforestation in small than large forest patches: the likelihood that a randomly-selected forest plot disappeared between 1992 and 2020 increased with decreasing size of the forest patch containing that plot. Our results imply a disproportionate impact of forest loss on biodiversity relative to the total forest area removed. Achieving recent commitments of the post-2020 Global Biodiversity Framework will require revision of current policies and increased societal awareness of the importance of small habitat patches for biodiversity protection.</p>
Data for: Recreational land use contributes to the loss of marine biodiversity
<p>This repository includes data for the article: Virtanen, E. A., N. Kallio, M. Nurmi, S. Jernberg, L. Saikkonen, L. Forsblom. Recreational land use contributes to the loss of marine biodiversity, People and Nature.</p> <p> </p>
Data for: Prescribed fire increases plant-pollinator network robustness to losses of rare native forbs
<p>Restoration efforts often focus on changing the composition and structure of invaded plant communities, with two implicit assumptions: 1) functional interactions with species of other trophic levels, such as pollinators, will reassemble automatically when native plant diversity is restored; and 2) restored communities will be more resilient to future stressors. However, the impact of restoration activities on pollinator richness, plant-pollinator interaction network structure, and network robustness is incompletely understood. Leveraging a restoration chronosequence in Pacific Northwest prairies, we examined the effects of restoration-focused prescribed fire and native forb replanting on floral resources, pollinator visitation, and plant-pollinator network structure. We then simulated the effects of plant species loss/removal scenarios on secondary extinction cascades in the networks. Specifically, we explored three management-relevant plant loss scenarios (removal of an abundant exotic forb, removal of an abundant forb designated a noxious weed, and loss of the rarest native forb) and compared them to control scenarios. Pyrodiversity, proportion of area recently burned, and cumulative replanting effort (plugging and seeding) over the prior 10 years increased the abundance and diversity of floral resources, with concomitant increases in pollinator visitation and diversity. Pyrodiversity also decreased network connectance and nestedness, increased modularity, and buffered networks against secondary extinction cascades. Rare forbs contributed disproportionately to network robustness in less restored prairies, while removal of typical "problem" plants like exotic and noxious species had relatively small impacts on network robustness, particularly in prairies with a long history of restoration activities. Restoration actions aimed mainly at improving the diversity and abundance of pollinator-provisioning plants may also produce plant-pollinator networks with increased resilience to plant species losses.</p>
Working code and data for a wall-to-wall mapping of carbon loss within the Chornobyl Exclusion Zone after the 2020 catastrophic wildfire
<p>Links to data in this code are from <a href="https://github.com/Janzeero-PhD/C_loss_Chornobyl_2022">GitHub repository</a>. But can be replaced by the files supplied here.</p> <p>Only code to generate models and to create figures for their validation is provided. Also code to create GMFR function (from Riemann et al. 2010 and adapted in Henderson et al. 2019) is provided.</p> <p>Code to: calculate C stock for training and validation data set per biomass compartment; prepare raster data (mostly in Google Earth Engine); make raster predictions; calculate C loss according to local combustion factors and NBR severity levels is available <em>upon request</em>.</p> <p>MetaData.xlsx contains a description of all files within this package, and variable explanation for provided data sets.</p>
Geospatial data from: Identifying opportunity hot spots for reducing the risk of wildfire-caused carbon loss in western US conifer forests
<p>The geospatial dataset includes raster and vector data for visualizing the spatial distribution of risk of wildfire-caused carbon loss in Peeler et al. 2023. Raster data evaluate carbon exposure, sensitivity, and vulnerability at the pixel-level across western US carbon forests. Vector data aggregate pixel-level findings into project area and fireshed spatial units to identify target geographies (or "opportunity hot spots") where proactive forest management could reduce the greatest risk from wildfire to carbon. Vector data also identifies firesheds in which proactive forest management could simultaneously reduce the risk from wildfire to carbon and human communities.</p>
Data from: Loss of flockmates weakens winter site fidelity in golden-crowned sparrows (Zonotrichia atricapilla)
<p>Animal social interactions have an intrinsic spatial basis—individuals must be close in space to interact, whether directly (e.g., co-occurrence, allo-grooming) or indirectly (e.g., interact with latrines or with parasites at communal nests). This presents a dilemma when determining causality: do individuals interact socially because they happen to share space, or do they share space because they are socially linked? We present a method that uses demographic turnover events as a natural experiment to investigate the links between social associations and space use in the context of inter-annual winter site fidelity in a migratory bird. We previously found that golden-crowned sparrows (<em>Zonotrichia atricapilla</em>) show consistent flocking relationships across years, and that familiarity between individuals influences the dynamics of social competition over resources. Using long-term data on winter social and spatial behavior across 10 years, we show that (i) sparrows exhibit inter-annual fidelity to winter home ranges on the scale of tens of meters and (ii) the precision of inter-annual spatial fidelity increases with age, but (iii) this fidelity is weakened when sparrows lose social partners from the previous year. Furthermore, the effect of social partner loss on spatial fidelity was higher for older birds, suggesting that social fidelity may play an increasingly important role on spatial behavior across the lifetime of this migratory bird. Our study provides evidence that social relationships can influence spatial fidelity, and shows the potential of long-term studies for disentangling the relationship between social and spatial behavior.</p>
Data: Multilayer integration in silicon nitride: decoupling linear and nonlinear functionalities for ultralow loss photonic integrated systems
<p>This folder contains the data relative to the paper with title:<br> Multilayer integration in silicon nitride: decoupling linear and nonlinear functionalities for ultralow loss photonic integrated systems<br> by<br> Marcello Girardi, Óskar Helgason, Alexander Caut, Magnus Karlsson, Anders Larsson, Victor Torres Company</p> <p>Chalmers University of Technology</p>
Data for: Cessation of grazing causes biodiversity loss and homogenization of soil food webs
<p><span>There is widespread concern that cessation of grazing in historically grazed ecosystems is causing biotic homogenization and biodiversity loss. We used 12 montane grassland sites along an 800-km north-south gradient across the United Kingdom, to test whether cessation of grazing affects local ɑ- and β-diversity of belowground food webs. We show cessation of grazing leads to strongly decreased ɑ-diversity of most groups of soil microbes and fauna, particularly of relatively rare taxa. In contrast, the β-diversity varied between groups of soil organisms. While most soil microbial communities exhibited increased homogenization after cessation of grazing, we observed </span><span>decreased homogenization for soil fauna after cessation of grazing. Overall, our results indicate that exclusion of domesticated herbivores from historically grazed montane grasslands has far-ranging negative consequences for diversity of belowground food webs. This underscores the importance of grazers for maintaining the diversity of belowground communities, which play a central role in ecosystem functioning. </span></p>
Sequencing data for: Chronosequence of invasion reveals minimal losses of population genomic diversity, niche expansion, and trait divergence in the polyploid, leafy spurge
<p>Rapid evolution may play an important role in the range expansion of invasive species and modify forecasts of invasion, which are the backbone of land management strategies. However, losses of genetic variation associated with colonization bottlenecks may constrain trait and niche divergence at leading range edges, thereby impacting management decisions that anticipate future range expansion. The spatial and temporal scales over which adaptation contributes to invasion dynamics remain unresolved. We leveraged detailed records of the ~130-year invasion history of the invasive polyploid plant, leafy spurge (<em>Euphorbia</em> <em>virgata</em>), across ~500km in Minnesota, U.S.A. We examined the consequences of range expansion for population genomic diversity, niche breadth, and the evolution of germination behavior. Using genotyping-by-sequencing, we found some population structure in the range core, where introduction occurred, but panmixia among all other populations. Range expansion was accompanied by only modest losses in sequence diversity, with small, isolated populations at the leading edge harboring similar levels of diversity to those in the range core. The climatic niche expanded during most of the range expansion, and the niche of the range core was largely non-overlapping with the invasion front. Ecological niche models indicated that mean temperature of the warmest quarter was the strongest determinant of habitat suitability and that populations at the leading edge had the lowest habitat suitability. Guided by these findings, we tested for rapid evolution in germination behavior over the time course of range expansion using a common garden experiment and temperature manipulations. Germination behavior diverged from early to late phases of the invasion, with populations from later phases having higher dormancy at lower temperatures. Our results suggest that trait evolution may have contributed to niche expansion during invasion and that distribution models, which inform future management planning, may underestimate invasion potential without accounting for evolution.</p>
Evaluating plant lineage losses and gains in temperate forest understories - data and scripts
<p>## Raw data and code to accompany the research entitled "Plant lineage losses and gains in temperate forest understories" by Padullés Cubino et al. (2023). In preparation.</p> <p># There are two folders with (1) "data" and (2) "scripts".</p> <p># The "data" folder contains two additional folders ("Input" and "Output") with CSV files with all the data used for analysis and produced from them. These data files are accompanied by a "metadata.xlsx" file with data descriptions.</p> <p># The "scripts" folder contains three scripts for the analyses described in the manuscript:</p> <p># H1_H4_H5_H6_forestreplot.R -> tests for hypotheses 1, 4, and 6.<br> # H2_H3_forestreplot.R -> tests for hypotheses 2 and 3.<br> # node.mean_function_forestreplot.R -> R function necessary to test H2 (load before running the code in "H2_H3_forestreplot.R".</p> <p># If anything is unclear, please contact the corresponding author for clarification (padullesj@gmail.com).</p>
Data from: Vomeronasal organ volume increases with body size and is dissociated with loss of a visual signal in Sceloporus lizards
<p>Many organisms communicate using signals in different sensory modalities (multicomponent or multimodal). When one signal or component is lost over evolutionary time, it may be indicative of changes in other characteristics of the signaling system, including the sensory organs used to perceive and process signals. <em>Sceloporus</em> lizards predominantly use chemical and visual signals to communicate, yet some species have lost the ancestral ventral color patch used in male-male agonistic interactions and exhibit increased chemosensory behavior. Here, we asked whether evolutionary loss of this sexual signal is associated with larger vomeronasal organ (VNO) volumes (an organ that detects chemical scents) compared to species that have retained the color patch. We measured VNO coronal section areas of 7–8 adult males from each of 11 <em>Sceloporus</em> species (4 that lost and 7 that retained the color patch), estimated sensory and total epithelium volume, and compared volumes using phylogenetic ANCOVA, controlling for body size. Contrary to expectations, we found that species retaining the ventral patch had similar relative VNO volumes as did species that have lost the ancestral patch, and that body size explains VNO epithelium volume. Visual signal loss may be sufficiently compensated for by increased chemosensory behavior, and the allometric pattern may indicate sensory system trade-offs for large-bodied species.</p>
Data supporting 'The Response of Midlatitude Surface Temperature Persistence to Arctic Sea-Ice Loss' by Neil T Lewis, William J M Seviour, Hannah E Roberts-Straw, and James A Screen.
<p>Data supporting Lewis et al., 2023. The Response of Midlatitude Surface Temperature Persistence to Arctic Sea-Ice Loss. Submitted to Geophysical Research Letters.</p><p>All model output is contained within the folder data/. All data is in NetCDF format.</p><p>The folder data/PAMIP/ contains output from coupled AOGCMs that contributed piArcSIC and futArcSIC timeslice runs to PAMIP. The AOGCMS present are: HadGEM3-GC31-MM, IPSL-CM6A-LR, CESM2-WACCM6, and CESM-WACCM-SC. For each model + run, two data files are included. One contains the autocorrelation of surface temperature, at 5, 10, and 15 day lags. The second contains the frequency and duration of persistent extremes (as defined in Lewis et al., 2023).</p><p>Additional output is included in data/PAMIP/ from extended pdSIC-ext and futArcSIC-ext experiments run using CNRM-CM6-1. For each run, a file containing the autocorrelation of surface temperature (as above) is included.</p><p>The folder data/CMIP/ contains output from CMIP6 historical/SSP585 runs using three of the models listed above: HadGEM3-GC31-MM, IPSL-CM6A-LR, and CESM2-WACCM6. For each model, 'pre-industrial' and 'future' output is available. Output in these files was computed from 30-year time-periods, subsampled from the historical/SSP585 runs, selected so that the 30-year average sea-ice area matched that in the corresponding PAMIP runs above. For each model and time period, two data files are included. One contains the autocorrelation of surface temperature, at 5, 10, and 15 day lags. The second contains the frequency and duration of persistent extremes (as defined in Lewis et al., 2023).</p><p>Output is also included in data/CMIP/ from CNRM-CM6-1 'present day' and 'future' time periods, selected to match the sea-ice area in the CNRM -ext PAMIP runs. For this model, output files contain the autocorrelation of surface temperaure. </p>
FitLink: Improving Weight Loss Maintenance by Using Digital Data to Provide Support and Accountability
ClinicalTrials.gov study NCT03337139. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Loss of pigments in females is associated with sexual dichromatism in an ornamental trait
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Data from: Artificial refuges to combat habitat loss for an endangered marsupial predator: how do they measure up?
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Data from: Repeated loss of function at HD mating-type genes and of recombination suppression without mating-type locus linkage in anther-smut fungi
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Data from: Leaching losses of dissolved organic carbon and nitrogen from agricultural soils in the upper US Midwest
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Data from: Snake oil in action: Geographic and seasonal variability in epidermal lipids shape evaporative water loss in snakes
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Data from: Loss of cytoplasmic incompatibility and minimal fecundity effects explain relatively low Wolbachia frequencies in Drosophila mauritiana
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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.