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4,157 results for “Survival.”
Survival Knife 5
one of the very simple survival knife models Source: Objaverse 1.0 / Sketchfab
Survival Knife 7
one of the very simple survival knife models Source: Objaverse 1.0 / Sketchfab
Supplementary material 1 from: El-Barougy RF, Cadotte MW, Khedr A-HA, Nada RM, Maclvor SJ (2017) Heterogeneity in patterns of survival of the invasive species Ipomoea carnea in urban habitats along the Egyptian Nile Delta. NeoBiota 33: 1-17. https://doi.org/10.3897/neobiota.33.9968
Table 1S. Comparison of stratified multivariable generalized linear models : Explanation note: Comparison of stratified multivariable generalized linear models that model the relationship between survival probability and different variables. The best model, selected by AIC, p-value of chi square, deviance explained (DE) and (AW). AW is the Akaikes weight which is the probability of the model being the best model explaining the relationship between survival probability and different variables. DE is the percentage of deviance explained (DE) as a measure of the model's goodness-of-fit.
Impact of colony size on survival and sanitary strategies in fungus-infected ant colonies
<p>Data of the scientifc paper "Impact of colony size on survival and sanitary strategies in fungus-infected ant colonies"</p>
Delayed dichromatism as a convenient tool to disentangle the effects of survival and productivity on the population dynamics in waterfowl
<p>Data and R codes necessary to replicate the analyses presented in the paper entitled "Delayed dichromatism as a convenient tool to disentangle the effects of survival and productivity on the population dynamics in waterfowl", submitted for review in Peer Community in Ecology.</p>
Raw data article "Surviving adversity: exploring the presence of Lunularia cruciata (L.) Dum. on metal-polluted mining waste"
<p>This is the raw data of the article "Surviving adversity: exploring the presence of Lunularia cruciata (L.) Dum. on metal-polluted mining waste".</p>
A Riskscore Model for Predicting Survival, Tumor Microenvironment, Immunotherapy and drug sensitivity of Lung Squamous Cell Carcinoma Based on PI3K/AKT/MTOR Pathway-Related Genes
<p>Firstly, the data we provide is the raw data downloaded from the TCGA database. Secondly, we provide the following explanations for the raw data, taking Figure 1 as an example:</p> <p>First, we selected a LUSC dataset from the TCGA database that includes RNA-seq data (FPKM values) and clear clinical information, consisting of 51 normal samples and 501 LUSC samples. The raw data <span>can be found in</span> the "mRNA" document in the "Fig.1" file<span>, and t</span>he data includes TCGA <span>id</span> information.</p> <p>Next, the data was imported into "mRNA_edgeR" to analyze whether the RNA-seq data from these 552 samples meet the criteria of |logFC| > 0.585 and FDR < 0.05, <span>and the results are shown in</span> the "diffSig" table. Subsequently, the genes in the "diffSig" table were intersected with 105 PAGs, <span>and</span> 44 key PAGs <span>were identified, </span>as shown in Figure 1.</p> <p>The <span>other</span> figures can <span>also </span>be reproduced sequentially based on the methods described <span>above</span>.</p> <p>Furthermore, due to the limited number of LUSC patients, the clinical information in the database is relatively incomplete. Hence, the clinical information that we provide constitutes the entire content available in the database.</p>
Data and Codes for Publication: "Sexually Dimorphic Computational Histopathological Signatures Prognostic of Overall Survival in High-Grade Gliomas via Deep Learning"
<p><strong>Data</strong></p> <p>The patches and the associated tumor segmentation labels (expert-vetted) from our analysis are available in Patches.pytable file.<br><br><strong>Codes<br><br></strong>The codes for training tumor segmentation models and conducting survival analysis are available in the following files</p> <ul> <li>ResNet-train: Code to train Resnet18 model for Tumor Segmentation</li> <li>Tumor_Segmentation: Code to segment tumor regions from WSI using ResNet18 model</li> <li>ResNet_Cox_train: Code to train ResNet-Cox model in 5 folds cross-validation setting</li> <li>Evaluate_ResNetCox: Code to evaluate ResNet-Cox model</li> </ul>
Survival analysis of DNA mutation motifs with penalized proportional hazards
<p>Output used to produce the tables and figures in the manuscript:</p> <p>Feng and Shaw, et al. (2017) Survival analysis of DNA mutation motifs with penalized proportional hazards. <em>Annals of Applied Statistics</em>, <em>under revision</em>.</p> <p><br> Preprint: <a href="http://arxiv.org/abs/1711.04057">http://arxiv.org/abs/1711.04057</a></p> <p>Package: <a href="http://github.com/matsengrp/samm">http://github.com/matsengrp/samm</a></p> <p> </p> <p>See README.md for more information.</p>
On the abandonment and survival of open source projects: An empirical investigation
<p>This replication package contains the results of our analysis as well as other data and scripts used in the process, which allows to reproduce and extend the results presented in the paper study.</p>
Survival under conditions of variable food availability: Resource utilization and storage in the cold‐water coral Lophelia pertusa
<p>Abstract</p> <p>Cold-water coral (CWC) reefs are hotspots of biodiversity and productivity in the deep sea, but their distribution is limited by the availability of food, which undergoes complex local and temporal variability. We studied the resource utilization, metabolism, and tissue storage of CWC Lophelia pertusa during an experimentally simulated 3-day food pulse, of 13C15N-enriched phytodetritus, followed by a 4-week food deprivation. Oxygen consumption (0.145 μmol O2 [mmol organic carbon {OC}]−1 h−1), release of particulate organic matter (0.029 μmol particulate organic carbon [POC] [mmol OC]−1 h−1 and 0.005 μmol particulate organic nitrogen [mmol OC]−1 h−1), ammonium excretion (0.004 μmol NH4 + [mmol OC]−1 h−1), tissue C and N content, and fatty acid (FA) and amino acid composition did not change significantly during the experiment. Metabolization of the labeled phytodetritus, however, underwent distinct temporal dynamics. Initially, L. pertusa preferentially used phytodetritus-derived C for respiration (2.2 0.36 nmol C [mmol OC]−1 h−1) and mucus production (0.94 0.52 nmol C [mmol OC]−1 h−1), but those tracer fluxes declined exponentially to <20% within 2 weeks after feeding and then remained stable, indicating that the remainder of the incorporated phytodetritus had entered a tissue pool with lower turnover. Analysis of 13C in individual FAs revealed a mismatch between the FAs incorporated from phytodetritus and the FA requirements of the coral.We suggest that feeding on other resources, such as lipid-rich zooplankton, could fill this deficiency. A release of 10% of their total OC as respired C and POC during the 4-week food deprivation underlines the importance of regular food pulses for CWC reefs. </p>
Survival of the self: Examinations of the role of self-reference in adaptive memory - DATASET
<p>Free recall data for</p> <p>Survival of the self: </p> <p>Examinations of the role of self-reference in adaptive memory</p>
Figure 2 in Nest survival of black-backed water tyrant Fluvicola albiventer in relation to nest morphometry and nest site features
Figure 2. Nest site, nest, eggs and chicks of the black-backed water tyrant Fluvicola albiventer during three breeding seasons (2016–2019) in a wetland of Argentina. (a) A nesting site near the water, (b) a nest in Solanum glaucophyllum, (c) eggs found in October 2018, (d) 5-day-old chicks found in January 2018, and (e) 9-day-old chick found in November 2016.
Figure 1 in Nest survival of black-backed water tyrant Fluvicola albiventer in relation to nest morphometry and nest site features
Figure 1. Monthly temporal distribution of black-backed water tyrant Fluvicola albiventer nests in a wetland of central Argentina (2016–2019 breeding seasons).
Fig. 2 in Survival of termites (Isoptera) exposed to various levels of relative humidity (RH) and water availability, and their RH preferences
Fig. 2. Materials for determining relative humidity (RH) level preferences of four termite species. A) Arena with chamber lids in place: a: chamber lid; b: rubber stopper; c: jar chamber. B) Arena with chamber lids removed: d: filter paper semicircle; e: Drierite introduction chamber; f: H2O chamber; g: MgCl2 camber; h: Mg(NO3)2 chamber; i: NaCl chamber. C) Close-up of arena components housing termites: j: connecting tube; k: holding dish; l: filter paper food source.
Fig. 1 in Survival of termites (Isoptera) exposed to various levels of relative humidity (RH) and water availability, and their RH preferences
Fig. 1. Experimental units to examine termite survival when exposed to various relative humidity (RH) levels: A) Humidity chambers with lids removed: a: H2O dish with filter paper ring (92.0 ± 0.07% RH); b: NaCl dish (72.9 ± 0.08% RH); c: Mg(NO3)2 dish (55.7 ± 0.09% RH); d: MgCl2 dish (34.3 ± 0.04% RH); e: silica gel layer (18.2 ± 0.14% RH); f: wood food source; g: holding dish with modified lid. B) Humidity chambers with lids in place: h: rubber stopper; i: temperature/humidity probe; j: chamber lid.
Association between Galectin-1 gene expression and acute myeloid leukemia patient survival in The Cancer Genome Atlas
Open the record for dataset details and reuse information.
FIG. 5 in Variation in Flatwoods Salamander Survival Is Unrelated to Temperature and Rainfall
FIG. 5. Size-dependent survival estimates for Reticulated Flatwoods Salamanders by year. Body size reflects snout–vent length (SVL) in mm. The shaded regions indicate the 95% credible intervals.
FIG. 3 in Variation in Flatwoods Salamander Survival Is Unrelated to Temperature and Rainfall
FIG. 3. Detection probability within each breading season as it relates to rainfall in the previous summer. Kendall's tau was used to determine the strength of the correlation between the variables (Kendall's t ¼ 0.57, P ¼ 0.03). No other correlations were found between environmental conditions and parameters of interest.
FIG. 4 in Variation in Flatwoods Salamander Survival Is Unrelated to Temperature and Rainfall
FIG. 4. Size-dependent survival estimates for Reticulated Flatwoods Salamanders averaged across years. Body size reflects snout–vent length (SVL) in mm. The shaded region indicates the 95% credible interval.
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.