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739 results for “data loss”
Analysis tools and data for study "Better insurance could effectively mitigate the increase in economic growth losses from US hurricanes under global warming"
<p>This scripts are used for post-analysis and for creating the main figures for our study "Better insurance could effectively mitigate the increase in economic growth losses from US hurricanes under global warming". Our raw results are calculated by InGroClIm (DOI:10.5281/zenodo.5017904).</p>
Data S3. 2010 MTI and 2020 losses
<p>This dataset contains the 2010 MTI values computed for the mangrove patches within 130 sample cells worldwide, and the values of registered losses within the same patches by 2020.</p>
Data from: Lianas associated with continued forest biomass losses following large-scale disturbances
<p>Lianas are important to rainforest ecosystems but often impede tree growth and increase tree mortality and stem damage after disturbances that favour their growth. Understanding how lianas affect biomass recovery and rates of carbon sequestration following disturbance is therefore of crucial importance. In this study, we determine how a tropical forest recovers biomass following a large-scale disturbance and test how this varies with liana dominance and stem damage<em>. </em>We use remote sensing methods to develop a model, validated by field data from 40 20 m x 20 m vegetation plots, to measure change in tree above-ground biomass eight years after Tropical Cyclone Yasi damaged logged forests in the Australian Wet Tropics. We related tree biomass changes to field measures of current liana dominance over trees, expressed as liana: tree basal area ratio, and assessed how these measures related to tree stem damage. Biomass declined in 34 of the 40 plots during the eight years post-disturbance, with loss rates and proportions of damaged tree stems increasing with the liana: tree ratio. From spatial upscaling, we found a net loss in biomass across the study landscape over the same period. Our results show that, following disturbances, lianas not only limit tree biomass recovery but are also associated with further biomass declines, most likely through their contribution to stem damage and delayed mortality. Furthermore, our finding of net biomass loss across the landscape since the cyclone shows that, post-disturbance, rainforests can act as a carbon source with consequences for the global carbon sink<em>. </em></p>
Data from: Why are plant communities stable? Disentangling the role of dominance, asynchrony and averaging effect following realistic species loss scenario
<p>A growing number of studies have demonstrated that biodiversity is a strong and positive predictor of ecosystem temporal stability by simultaneously affecting multiple underlying mechanisms of stability <em>i.e.</em> dominance, asynchrony, and averaging effects. However, to date, no study has disentangled the relative role of these key mechanisms of stability in biodiversity experiments. We created a species richness gradient by mimicking a loss of rare species and assessed the role of species richness on community stability and, more importantly, quantified the relative role of three stabilizing mechanisms <em>i.e.</em> dominance (stabilization due to stable dominants compared to the rest of the species in the community), asynchrony (stabilization due to temporal asynchrony between species), and averaging effects (pure effect of diversity) on community stability across a species richness gradient. We found that extreme species loss negatively impacted community stability, but just three species were enough to stabilize biomass production to a level similar to highly diverse communities. However, the similar stability of communities resulted from differing contributions from each stability mechanism, depending on the community diversity. Since less abundant species were more temporally variable, species loss stabilized the populations of the remaining species. The loss of rare and subordinate species reduced the dominance and averaging effects, but increased the asynchrony effect. Hence, the asynchrony effect played a major role in the stability of species poor communities, while the averaging effect drove most of the stability of species rich communities. Overall, dominance played only a minor role, accounting for 5-15% of the stabilization, while asynchrony and averaging effects were dominating forces contributing to ~ 85-95% of the total stabilization.</p> <p><em>Synthesis</em>. This study highlights the importance of biodiversity and roles of dominant and rare species for long-term community stability and, for the first time, disentangles relative roles of dominance effect, asynchrony, and averaging effect on community stability in a real-world biodiversity experiment.</p>
Data from: Water availability and temperature as modifiers of evaporative water loss in tropical frogs
<p>Water plays a notable role in the ecology of most terrestrial organisms due to the risks associated with water loss. Specifically, water loss in terrestrial animals happens through evaporation across respiratory tissues or epidermis. Amphibians are ideal systems for studying how abiotic factors impact water loss since their bodies often respond quickly to environmental changes. While the effect of temperature on water loss is well known across many taxa, we are still learning how temperature in combination with humidity or water availability affects water loss. Here, we tested how standing water sources (availability) and temperature (26 and 36°C) together affect water loss in anuran amphibians using a Bayesian framework. We also present a conceptual model for considering how water availability and temperature may interact, resulting in body mass changes. After accounting for phylogenetic and time autocorrelation, we determined how different variables (water loss and uptake rates, temperature, and body size) affect body mass in three species of tropical frogs (<em>Rhinella marina</em>, <em>Phyllobates terribilis</em>, and <em>Xenopus tropicalis</em>). We found that all variables impacted body mass changes with greater similarities between <em>P. terribilis</em> and <em>X.</em> <em>tropicalis</em>, but only temperature showed a notable effect in <em>P. terribilis</em>. Furthermore, we describe how the behavior of <em>P. terribilis</em> might affect its water budget. This study shows how organisms might manage water budgets across different environments and is important for developing our models of evaporative water loss and species distributions.</p>
Data from "Evaluating the Risk of Data Loss Due to Particle Radiation Damage in a DNA Data Storage System"
<p>Raw sequencing data from irradiated DNA samples and controls.<br>Sequences for encoded files used in the irradiation studies.<br>Please see the publication's Source Data file for mapping to encoded files.</p>
Raw data for 'Low-loss high-Q silicon-rich silicon nitride microresonators for Kerr nonlinear optics'
<p>It's the raw data for the paper 'Low-loss high-Q silicon-rich silicon nitride microresonators for Kerr nonlinear optics'</p>
Data from: Heritability of growth and leaf loss compensation in a long-lived tropical understorey palm
<p>Data from: Heritability of growth and leaf loss compensation in a long-lived tropical understorey palm, PLOS ONE.</p> <p>Quantitative genetic data related to growth parameters and leaf loss compensation of 1402 <em>Chamaedorea elegans</em> seedlings. Data was collected in a greenhouse experiment performed at the Unifarm experimental facilities of Wageningen University between January 2013 and July 2014, in which a defoliation treatment was applied. Seeds were collected in the Montes Azules Biosphere Reserve in Chiapas, Mexico. See PLOS ONE publication for more details.</p> <p>The file contains a separate "read me" tab in which the meaning of the variable codes is explained. </p> <p> </p>
Data and code for "Loss of pollinator diversity consistently reduces reproductive success for wild and cultivated plants"
<p>Data and code for "Loss of pollinator diversity consistently reduces reproductive success for wild and cultivated plants"</p>
Data set for "EghiFit: Smartphone based Behaviour Monitoring and Health Recommendation in a Weight Loss Intervention Study"
<p>Dataset has been created for "EghiFit: Smartphone based Behaviour Monitoring and Health Recommendation in a Weight Loss Intervention Study" paper.</p> <p>We have created a smartphone based behaviour monitoring and recommendation system to aid patients recruited in a weight loss intervention programme.<br>The main interaction element for the patients is <strong>EghiFit</strong> application which was used in context of this dataset for data acquisition and secure transmission to our servers.</p> <p>The data consists of application usage per patient, steps achieved, nutritional information of meals logged, heart rate data, interaction data and more.<br>For more information about the dataset, please take a look at <strong>readme.md</strong> file and our paper.</p>
Processed species-level data for "Global Biodiversity Loss from Outsourced Deforestation"
<p>This repository holds processed species-level data for the following paper:</p> <blockquote> <p>Wiebe, R.A.* and Wilcove, D.S. <em>2025</em>. Global Biodiversity Loss from Outsourced Deforestation.</p> </blockquote> <p>*<a href="mailto:rwiebe@princeton.edu">rwiebe@princeton.edu</a>, Guyot Hall, Princeton University, Princeton, NJ</p> <p>In this analysis, we quantified the range loss to forest-dwelling vertebrates that is attributable to demand for agricultural and forestry products by developed countries in 2001-2015.</p> <p>We used several datasets in this analysis. Data on forest cover and forest loss were sourced from <em>Hansen et al.</em> and publicly available to download online: <a href="https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.7.html" rel="nofollow">https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.7.html</a>. Data on range maps for species were sourced from the IUCN and downloaded from the IUCN’s API (<a href="https://www.iucnredlist.org/resources/spatial-data-download" rel="nofollow">https://www.iucnredlist.org/resources/spatial-data-download</a>) and its partner BirdLife International’s API (<a href="http://datazone.birdlife.org/species/requestdis" rel="nofollow">http://datazone.birdlife.org/species/requestdis</a>). These datasets are made available for academic research on request, and an API key is necessary for their downloads. We sourced data on land use attribution from Nguyen Tien Hoang and Keiichiro Kanemoto, from their 2021 publication “Mapping the deforestation footprint of nations reveals growing threat to tropical forests.” These data are not publicly available, but the authors kindly provided the data on request.</p> <p>Code necessary to replicate the analysis can be found in a public repository at: https://github.com/AlexWiebe/Outsourced-Biodiversity-Loss.</p>
Data from: Biotic and abiotic modifications of leaf litter during dry periods affect litter mass loss and nitrogen loss during wet periods
1. Decomposition of organic matter in semiarid ecosystems is a key component of the terrestrial carbon (C) cycle. The well-known inaccuracies in predicting litter decay in water-limited regions were lessened by considering solar radiation as an abiotic decay driver of photodegradation. Moreover, exposure to high solar irradiance in dry periods often led to massive facilitation of litter decay in subsequent wet periods ("photoacceleration"), though in many studies this effect was absent. 2. Recently, water vapor and dew were identified as modulators enabling substantial microbial degradation during rainless periods. Here we asked, (i) if the activity of microorganisms modifies litter traits, such as litter quality and microbial community in dry periods, consequently altering the loss of litter mass and nitrogen (N) in wet periods, and (ii) whether it can co-occur with photoacceleration. 3. By successively introducing litter to the field at the beginning and the end of the dry season, we found that microbial activity during the dry season affected litter mass and N loss during the wet season. Low microbial activity in the dry season led to inhibition of mass loss in the wet season, while high microbial activity led to facilitation of mass loss. Microbial activity during the dry season also caused strong inhibition of N loss from litter during the wet season, likely by enhancing the dry-season N loss. A microclimate manipulation experiment using radiation filters showed that microbial activity and exposure to solar radiation jointly modified the litter during the dry season and affected subsequent decay in the wet season. 4. Knowledge of biotic and abiotic modifications of litter during dry periods and their implication for wet periods enhances our understanding of litter decay in semiarid regions. Furthermore, it can improve biogeochemical model predictions of C and N cycling in
Data from: Sexual signal loss in field crickets maintained despite strong sexual selection favoring singing males
Evolutionary biologists commonly seek explanations for how selection drives the emergence of novel traits. While trait loss is also predicted to occur frequently, few contemporary examples exist. In Hawaii, the Pacific field cricket (Teleogryllus oceanicus) is undergoing adaptive sexual signal loss due to natural selection imposed by eavesdropping parasitoids. Mutant male crickets ("flatwings") cannot sing. We measured the intensity of sexual selection on wing phenotype in a wild population. First, we surveyed the relative abundance of flatwings and "normal-wings" (non-mutants) on Oahu. Then, we bred wild-mated females' offspring to determine both female genotype with respect to the flatwing mutation and the proportion of flatwing males that sired their offspring. We found evidence of strong sexual selection favoring the production of song: females were predominantly homozygous normal-wing; their offspring were sired disproportionately by singing males; and at the population level, flatwing males became less common following a single sexual selection event. We report a selection coefficient describing the total (pre- and postcopulatory) sexual selection favoring normal-wing males in nature. Given the maintenance of the flatwing phenotype in Hawaii in recent years, this substantial sexual selection additionally suggests an approximate strength of opposing natural selection that favors silent males.
Data from: Transcriptional remodeling upon light removal in a model cnidarian: losses and gains in gene expression
Organismal responses to light:dark cycles can result from two general processes: (i) direct response to light or (ii) a free-running rhythm (i.e., a circadian clock). Previous research in cnidarians has shown that candidate circadian clock genes have rhythmic expression in the presence of diel lighting, but these oscillations appear to be lost quickly after removal of the light cue. Here, we measure whole-organism gene expression changes in 136 transcriptomes of the sea anemone Nematostella vectensis, entrained to a light:dark environment and immediately following light cue removal to distinguish two broadly defined responses in cnidarians: light entrainment and circadian regulation. Direct light exposure resulted in significant differences in expression for hundreds of genes, including more than 200 genes with rhythmic, 24-hour periodicity. Removal of the lighting cue resulted in the loss of significant expression for 80% of these genes after one day, including most of the hypothesized cnidarian circadian genes. Further, 70% of these candidate genes were phase shifted. Most surprisingly, thousands of genes, some of which are involved in oxidative stress, DNA damage response, and chromatin modification, had significant differences in expression in the 24 hours following light removal, suggesting that loss of the entraining cue may induce a cellular stress response. Together, our findings suggest that a majority of genes with significant differences in expression for anemones cultured under diel lighting are largely driven by the primary photoresponse rather than a circadian clock when measured at the whole animal level. These results provide context for the evolution of cnidarian circadian biology and help to disassociate two commonly confounded factors driving oscillating phenotypes.
Processed Data for Figures of "Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains"
<p>Processed output data for generating figures of "Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains". Most datasets are aggregated to 0.25 degree resolution of L-VOD data.</p> <p>Data are organised in folders but should be added to a single directory for easy use with provided code.</p> <ul> <li>AGC_LVOD: Aboveground carbon [Mg C ha] (2011-2019) and trends [Mg C ha yr] derived from different L-VOD indices calibrated to AGC using the ESA CCI biomass map. Provides data based on smoothed, max and trend indices as well as their mean.</li> <li>modelprocesschanges: Annual and total aboveground carbon changes [Mg C ha] (2011-2018) derived for different processes following methods described in the manuscript.</li> <li>inputData: pre-processed landcover fraction information at 1 km resolution, used as input for Figure 1b.</li> <li>forestcover: Forest cover and intact (old-growth) forest cover fractions derived from mapbiomas. (2011-2018)</li> <li>masks: Raster mask of areas considered in analysis.</li> <li>valuerangeserrors: Upper and lower value boundaries for AGC and processes, derived from standard errors in ESA CCI biomass map.</li> </ul> <p>When using any of the data listed above please cite the original paper (Fawcett et al., 2022) as well as the original data sources mentioned in the manuscript.</p>
Data-driven modeling of beam loss in the LHC
<p>LHC diagnostics datasets from runs 2017 & 2018 used for training of beam loss machine-learning models for research paper "Data-driven modeling of beam loss in the LHC".</p>
Data from: Placental pathology findings in unexplained pregnancy losses
<p class="MsoNormal">There are approximately 5 million pregnancies per year in the United States, with 1 million ending in miscarriage (a loss occurring prior to 20 weeks of gestation) and over 20,000 ending in stillbirth at or beyond 20 weeks of gestation. As many as 50% of these losses are unexplained. Our objective was to evaluate the efficacy of expanding the placental pathology diagnostic categories to include the explicit categories of 1) dysmorphic chorionic villi and 2) small placenta to decrease the unexplained fraction. Using a clinical database of 1,256 previously unexplained losses at 6–43 weeks of gestation, the most prevalent abnormality associated with each loss was determined through examination of its placental pathology slides. Of 1,256 cases analyzed from 922 patients, there were 878 (69.9%) miscarriages and 378 (30.1%) antepartum stillbirths. We determined the pathologic diagnoses for 1,150/1,256 (91.6%) of the entire series, 777/878 (88.5%) of the miscarriages (<20 weeks' gestation), and 373/378 (98.7%) of the stillbirths (≥20 weeks' gestation). The most common pathologic feature observed in unexplained miscarriages was dysmorphic chorionic villi (757 cases; 86.2%), a marker associated with genetic abnormalities. The most common pathologic feature observed in unexplained stillbirths was a small placenta (128 cases; 33.9%).<strong> </strong>Our classification system reinforced the utility of placental examination for elucidating potential mechanisms behind pregnancy loss. The improved rate of diagnosis appeared to be the result of filling a gap in previous pregnancy loss classification systems via inclusion of the categories of dysmorphic chorionic villi and small placenta.</p>
Data from: Evolutionary loss of complexity in animal signals: cause and consequence
<p>We identified hypotheses for the cause and consequences of the loss of complexity in animal signals and tested these using a genus of visually communicating lizards, the South-east Asian Draco lizards. Males of some species have lost the headbob component from their display, which is otherwise central to the communication of this genus. These males instead display a large, colourful dewlap to defend territories and attract mates. This dewlap initially evolved to augment the headbob component of the display, but has become the exclusive system of communication. We tested whether the loss of headbobs was caused by relaxed selection, habitat-dependent constraints, or size-specific energetic constraints on display movement. We then examined whether the consequences of this loss have been mitigated by increased signalling effort or complexity in the colour of the dewlap. It appears the increased cost of display movement resulting from the evolution of large body size might have contributed to the loss of headbobs and has been somewhat compensated for by the evolution of greater complexity in dewlap colour. However, this evolutionary shift is unlikely to have maintained the complexity previously present in the communication system, resulting in an apparent detrimental loss of information potential.</p>
Data for: Impact of alpha crystallin loss on zebrafish lens development
<p class="MsoNormal">The <span>α</span>-crystallin small heat shock proteins contribute to the transparency and refractive properties of the vertebrate eye lens and prevent the protein aggregation that would otherwise produce lens cataracts, the leading cause of human blindness. There are conflicting data in the literature as to what role the <span>α</span>-crystallins may play in early lens development. In this study, we used CRISPR gene editing to produce zebrafish lines with mutations in each of the three <span>a</span>-crystallin genes (<em>cryaa</em>, <em>cryaba</em> and <em>cryabb</em>) to prevent protein production. The absence of each <span>α</span>-crystallin protein was analyzed by mass spectrometry, and lens phenotypes were assessed with differential interference contrast microscopy and histology. Loss of <span>α</span>A-crystallin produced a variety of lens defects with varying severity in larval lenses at 3 and 4 dpf but little substantial change in normal fiber cell denucleation. Loss of <span>α</span>Ba-crystallin produced no substantial lens defects. Our <em>cryabb</em> mutant produced a truncated <span>a</span>Bb-crystallin protein and showed no substantial change in lens development. Mutation of each <span>α</span>-crystallin gene did not alter the mRNA levels of the remaining two, suggesting a lack of genetic compensation. These data suggest that <span>α</span>A-crystallin plays some role in lens development, but the range of phenotype severity in null mutants indicates its loss simply increases the chance for defects and that the protein is not essential. Our finding that <em>cryaba</em> and <em>cryabb</em> mutants lack noticeable lens defects is congruent with insubstantial transcript levels for these genes in lens epithelial and fiber cells through five days of development. Future experiments can explore the molecular mechanisms leading to lens defects in <em>cryaa</em> null mutants and the impact of <span>α</span>A-crystallin loss during zebrafish lens aging.</p>
Electron energy loss spectroscopy (EELS) and energy dispersive spectroscopy (EDS) data from two pyroxene grains from Apollo 17 soil 71501
<p>This dataset contains hyperspectral EELS and EDS data for two pyroxene grains from Apollo 17 soil 71501 as well as iron oxidation state standards used in the original article "Detection of ferric iron in an exsolved lunar pyroxene using electron energy loss spectroscopy (EELS): Implications for space weathering and redox conditions on the Moon" by Brittany Cymes, Katherine Burgess, and Rhonda Stroud. (doi: 10.1111/maps.13941). The purpose of this dataset is to document chemical characteristics of lunar pyroxenes that can be used to interpret conditions of formation and evaluate chemical changes resultant from the process of space weathering.</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.