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470 results for “dead”
Measurements of meteorological parameters and subsurface water temperature in the hypersaline Dead Sea in September 2015
Open the record for dataset details and reuse information.
Input and Output Data for local earthquake tomography in the central Dead Sea Fault using PyVoroTomo
<p>Data to reproduce wave velocity models for the central DSF.</p> <p>eventsAndArrivals.h5 - 2 csv files (keys: events, arrivals)</p> <p>stations_sub.h5 - csv file containing station data</p> <p>gitter.csv - 1D velocity model by Gitterman et al. (2002)</p> <p>3d_Vp_Vs_VpVs_models.nc - velocity models for vp, vs, and vp/vs and their uncertainty.</p> <p>relocated seismicity.h5 - relocated seismicity, arrivals used, and stations used (keys: events, arrivals, stations)</p>
Upconverting Nanoparticles in Aqueous Media: Not a Dead-End Road. Avoiding Degradation by Using Hydrophobic Polymer Shells
<p>Dataset of https://zenodo.org/record/5793193#.YcCAcWjMJPY</p>
Fungal OTUs during dead wood succession of aspen
<p class="MsoPlainText">During decomposition of organic matter, microbial communities may follow different successional trajectories depending on the initial environment and colonizers. The timing and order of the assembly history can lead to divergent communities through priority effects. We explored how assembly history and substrate quality affected fungal dead wood communities and decomposition, 1.5 and 4.5 years after tree felling. In addition, we investigated the effect of invertebrate exclusion during the first two summers. For aspen (<i>Populus tremula</i>) logs, we measured initial bark and wood resource quality, and surveyed the fungal communities by DNA metabarcoding at different time points during succession. We found that a gradient in fungal community composition was related to resource quality and we discuss how this may reflect tolerance-dominance trade-offs in fungal life history strategies. As with previous studies, the initial amount of bark tannins was negatively correlated with wood decomposition rate over 4.5 years. The latent fungal community explained variation in community composition after 1.5, but not after 4.5 years, of succession. Although the assembly history of latent fungi may cause alternate trajectories in successional communities, our results indicate that the communities may easily converge with the arrival of secondary colonizers. We also identified a strong invertebrate-induced priority effect of fungal communities, even after 4.5 years of succession, thereby adding crucial knowledge to the importance of invertebrates in affecting fungal community development. By measuring and manipulating aspects of assembly history and resource quality that have rarely been studied, we expand our understanding of the complexity of fungal community dynamics.</p>
Data from: Landscape context and substrate characteristics shape fungal communities of dead spruce in urban and semi-natural forests
<p>Data from:</p> <p>Korhonen, A., Miettinen, O., Kotze, D.J., & Hamberg, L. (2022). Landscape context and substrate characteristics shape fungal communities of dead spruce in urban and semi-natural forests. Environmental Microbiology. DOI: 10.1111/1462-2920.15903</p> <p>This dataset contains occurrence data of 475 fungal ITS2 sequence clusters (OTUs) across 360 sequenced samples originating from dead wood of Norway spruce (<em>Picea abies</em>). Wood samples were collected from 90 downed spruce trunks, at four points from each trunk. Trunks were at intermediate stages of decay and located in spruce-dominated stands in 24 urban forests (66 trunks) and in 8 rural semi-natural forests (24 trunks) in southern Finland. The data consists of an OTU table (sequence read counts in each sample) and sample metadata (locality information, trunk characteristics and environmental variables).</p>
Dead Again: Predictions of repeat tree die-off under hotter droughts confirm mortality thresholds for a dryland conifer species
<p>Tree die-off, driven by extreme drought and exacerbated by a warming climate, is occurring rapidly across every wooded continent - threatening carbon sinks and other ecosystem services provided by forests and woodlands. Forecasting the spatial patterns of tree die-off in response to drought is a priority for the management and conservation of forested ecosystems under projected future hotter and drier climates. Several drought-related metrics have recently been proposed to predict the mortality threshold (i.e., tipping point) for <i>Pinus edulis, </i>a model tree species in many studies of drought-induced tree die-off. To improve future capacity to forecast tree mortality, we used a severe drought in 2018 across the southwestern United States as a natural experiment. We compared the ability of published mortality thresholds derived from four drought metrics (the Forest Drought Severity Index, the Standardized Precipitation Evapotranspiration Index, and raw values of precipitation and vapor pressure deficit) to predict areas of <i>P. edulis </i>die-off following extreme drought. Using aerial detection surveys of tree mortality in combination with gridded climate data, we calculated the agreement between these four proposed thresholds and the presence and absence of regional-scale tree die-off<i>.</i> Overall, such thresholds tended to over predict the spatial extent of tree die-off across the landscape, yet some retain moderate skill in discriminating between areas that experienced and did not experience tree die-off. Area under the curve (AUC) of these thresholds ranged from 0.51 to 0.71, sensitivity (true-positive rate) ranged from 0.54 to 0.86, and specificity (true-negative rates) ranged from 0.16 to 0.73. We highlight that empirically derived climate thresholds may be a useful forecasting tool to identify vulnerable areas to drought induced die-off, allowing for targeted responses to future droughts and improved management of at-risk areas.</p>
Unpublished data on birds feeding on dead honey bees
<p>The data were collected by me during two years with the aim to initiate a larger research project. However, I neither found the time nor the research funding for the project. Hence, I decided to upload the data so they may be used for a scientific publication, preliminary data set for a similar project, or any other research. About 2500 observations of birds visiting six honey bee colonies are available in the excel file.</p>
Beetle diversity in dead wood is lower in non-native than native tree species, especially those more distantly related to native species
<p>1. Non-native tree species are widely used in forest plantations. This may have negative consequences for biodiversity. Hitherto, most studies have compared species diversity between native and non-native forest stands, which makes it difficult to separate the impact of tree species per se from stand characteristics. Our study, conducted in the south of Sweden, compares saproxylic beetle diversity across different nutritional groups, in dead wood of two native and four non-native tree species in a block design after one and three seasons. Such an approach allows analysis of the impact of non-native tree species per se.</p> <p>2. Mean species richness (±SD) per log was lower in non-native than in native tree species (non-native trees: lodgepole pine: 10.7 (± 5.3); Sitka spruce: 8.5 (± 4.3), Douglas fir: 7.1 (± 4.3), Japanese larch 9.4 (± 4.6); native trees: Norway spruce: 12.0 (± 6.0), Scots pine: 12.3 (± 5.2)). Sample-based rarefaction revealed that when only native tree species were pooled, the species richness was higher than for all tree species combined. The difference in species composition among tree species was strongly driven by bark and wood consumers in the first season, while for predators and fungivores, the differences were smaller. Species composition differed more after one season.</p> <p>3. Dissimilarity in beetle species composition was positively correlated with phylogenetic distances of the tree species. Species richness was lower in non-native tree species that are only remotely related to native trees species. Of the studied non-native tree species, lodgepole pine was more closely related to native tree species and consistently harboured higher species richness.</p> <p>4. Synthesis and applications. Although non-native tree species also harbour saproxylic beetle communities, the use of non-native tree species, especially those only remotely related to native tree species, reduces local diversity of saproxylic beetles. Thus, for biodiversity conservation, an extensive use of non-native tree species is not recommended as this increases the risk of losing forest biodiversity, especially when they are only distantly related to native tree species.</p>
Seven Deadly Sins,Sladers Saw Sword
Here I have modelled a weapon from the anime called seven deadly sins, this sword is the weapon that belong to the holy knight Slader which he uses to literally saw through armour and his enemies, I thought I didn't do too badly with this texture, I could have done better but I was pressed for time and had to cut a few corners, overall I hope you like it. Source: Objaverse 1.0 / Sketchfab
The Day of the Dead
You can see the real model rendered here https://www.artstation.com/artwork/q08xn  this model was done like a year ago This is a little a tribute I did for the Mexican Celebration "Día de Muertos" (Day of the dead). Sugar and chocolate skulls, I wanted it to have some cartoonish style and a colourful mood. On the picture frame you can see "La Catrina" a famous image associated with this celebration. Its an etching done around 1910–1913 by the famous Mexican printmaker, cartoon illustrator and lithographer José Guadalupe Posada. Source: Objaverse 1.0 / Sketchfab
Dead Helmet (Wehrmacht M40 Helmet)
Model 40 Helmet as used by the Wehrmacht during World War 2. The model is not optimized, since I built it for educational purposes only. Source: Objaverse 1.0 / Sketchfab
Fig. 4 — A dead olive ridley with a in Observations on the mortality of olive ridley sea turtles (Lepidochelys olivacea) and associated factors along Ganjam coast, east coast of India
Fig. 4 — A dead olive ridley with a possible hit mark on its carapace
volatile organic compounds that were measred at the Dead Sea - Israel (both terrestrial and coastal; Anthropogenic and biogenic)
<p>Multiple VOCs (biogenic and anthropogenic) were sampled by our research group at various terrestrial and coastal sites around the Dead Sea (Israel). Analysis was conducted by Prof. Donald Blake, and the data were included in a publication available at <a href="https://acp.copernicus.org/articles/19/7667/2019/" target="_new" rel="noreferrer">https://acp.copernicus.org/articles/19/7667/2019/</a>.</p>
Microseismic catalogue from seismicity on the Jericho Fault (Dead Sea) [Dataset]
<p>This is a database of results linked to the associated manuscript (Klinger et al., 2024) which has been submitted to Geophysical Journal International and is currently in review. </p> <p>We report locations, magnitudes, timing and location errors for microseismic events linked to seismic acitivity on the Jericho Fault.</p> <p>Prior to publication please cite this database using the following two references:</p> <p>Klinger, A.G., Kurzon, I., Sagy, A. (2024). Microseismic and damage-zone characteristics of a fully locked fault segment on the Dead Sea Transform. <em>Manuscript submitted to Geophysical Journal International . </em></p> <p>Klinger, A.G., Werner, M.J. (2021). Microseismic catalogue from seismicity on the Jericho Fault (Dead Sea) [Data set]. Zenodo. https://zenodo.org/uploads/11653666.</p>
Fig 3 in Live-live and live-dead interactions in marine death assemblages: The case of the Patagonian clam Venus antiqua
Fig 3. Diagram showing division of each valve into two zones.
Mangrove standing dead wood data for the Mikoko Pamoja project
<p>Mikoko Pamoja Project is a pioneering community-led mangrove conservation initiative through which income is earned from the sale of carbon credits. The Kenyan based project undertakes regular forest monitoring in compliance with the Plan Vivo standard which provides them accreditation to engage in the voluntary carbon market. This dataset was collected as part of the monitoring activity in 2020 using the measuring protocols by Kauffman and Donato (2012). Gazi mangrove forest has a zonation pattern typical to mangrove forests in Kenya. For a detailed description of the forest and the Project refer to the references provided.</p> <p>The data provides date, location details and measured forest variables.</p> <p><a href="http://www.aces-org.co.uk">www.aces-org.co.uk</a> </p> <p>GoK (2017). National Mangrove Ecosystem Management Plan. Kenya Forest Service, Nairobi, Kenya.</p> <p>Bosire, J. O., Lang’at, J. K. S., Kirui, B. Y. K., Kairo, J. G., Mugi, L. M., Hamza, A. J., et al. (2015). “Mangroves of Kenya,” in <em>Mangroves of the Western Indian Ocean: Status and Management</em>, eds. J. O. Bosire, M. M. Mangora, S. Bandeira, A. Rajkaran, R. Ratsimbazafy, C. Appadoo, et al. (Zanzibar Town: WIOMSA), 15–30.</p>
Mangrove standing dead wood for the Vanga Blue Forest project
<p>Vanga Blue Forest Project is a community-led mangrove conservation initiative through which income is earned from the sale of carbon credits. The Kenyan based project undertakes regular forest monitoring in compliance with the Plan Vivo standard which provides them accreditation to engage in the voluntary carbon market. This dataset was collected in a monitoring activity in 2021 using the measuring protocols by Kauffman and Donato (2012). The forest Vanga follows a zonation pattern typical to mangrove forests in Kenya. For a detailed description of the forest and the Project refer to the references provided.</p> <p>The data provides date, location details and measured forest variables.</p> <p><a href="http://www.aces-org.co.uk">www.aces-org.co.uk</a> </p> <p>GoK (2017). National Mangrove Ecosystem Management Plan. Kenya Forest Service, Nairobi, Kenya.</p> <p>Bosire, J. O., Lang’at, J. K. S., Kirui, B. Y. K., Kairo, J. G., Mugi, L. M., Hamza, A. J., et al. (2015). “Mangroves of Kenya,” in <em>Mangroves of the Western Indian Ocean: Status and Management</em>, eds. J. O. Bosire, M. M. Mangora, S. Bandeira, A. Rajkaran, R. Ratsimbazafy, C. Appadoo, et al. (Zanzibar Town: WIOMSA), 15–30.</p>
Dead wood in the forests of Northern Eurasian: field measurements database
<p>Dead wood plays a substantial role in forest ecosystem functioning. However, the amount and dynamics of dead wood in the forests of Northern Eurasia are poorly understood. Here we present a database of field measurements of dead wood, collected from published sources and aggregated data from the Russian national forest inventory. The structure of dead wood by its components includes snags, logs, stumps, and the dry branches of living trees The database is intended to be used to assess the dead wood volume and the amount of dead wood in carbon units as part of the carbon budget calculation of forests at different scales.</p> <p>The database is a supplementary material in the following journal paper.</p> <p>Shvidenko, A.; Mukhortova, L.; Kapitsa, E.; Kraxner, F.; See, L.; Pyzhev, A.; Gordeev, R.; Fedorov, S.; Korotkov, V.; Bartalev, S.; Schepaschenko D. A Modelling System for Dead Wood Assessment in the Forests of Northern Eurasia. Forests 2023, 14, 45. https://doi.org/10.3390/f14010045</p>
Dataset of paper "Kinetic and mechanistic analysis of membrane fouling in microplastics removal from water by dead-end microfiltration"
<p>Dataset of paper "Kinetic and mechanistic analysis of membrane fouling in microplastics removal from water by dead-end microfiltration":</p> <ul> <li>Microplastics and membrane characterisation: micro-FTIR and ATR spectra.</li> <li>Particle Size Distribution.</li> <li>Identifying the main successive fouling mechanisms using Hermia’s equation.</li> <li>The kinetic constants as a function of the microplastic type and the operating parameters.</li> <li>Permeate flux decline during microplastics filtration.</li> <li>Water contact angle and profilometry measured before and after the filtration of MPs.</li> </ul>
Effects of grip position on forearm muscle surface electromyography activity during maximal isometric finger dead-hangs in rock climbers
<p>Dataset from the study titled: "Effects of grip position on forearm muscle surface electromyography activity during maximal isometric finger dead-hangs in rock climbers"</p> <p>The dataset includes data from: participant's characteristics, maximal absolute and BW relative loads used during dead-hangs, EMG RMS data for each of the registered muscles and grip positions, and neuromuscular efficiency data for each muscle and grip position.</p>
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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.