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1,899 results for “Running”
Soil Moisture Active/Passive (SMAP) Level 4 Carbon (L4C) Nature Run version 7.2
<p>The Soil Moisture Active/ Passive (SMAP) Level 4 Carbon (L4C) product is a daily, global, terrestrial carbon budget driven, in part, by soil moisture estimates from the Level 4 Soil Moisture (L4SM) product and, in turn, on brightness temperature observations from the SMAP satellite [1,2]. The SMAP L4C operational product's record begins on March 31, 2015, shortly after the launch of SMAP, and continues to the present, with an average latency of 9 days [3]. SMAP L4C data are posted to a global, 9-km equal-area EASE-Grid 2.0 [4].</p> <p>In order to improve the longitudinal coverage of the SMAP L4C record, a model-only "Nature Run" was devised, with daily carbon budget estimates beginning January 1, 2000. The Nature Run differs from the SMAP L4C operational product in the following ways:</p> <p>- The SMAP L4C Nature Run uses the MERRA-2 re-analysis dataset for meteorological driver data, instead of the GEOS-5 FP driver data used in the operational product.<br> - The SMAP L4C Nature Run uses soil moisture and soil temperature estimates from the L4SM Nature Run, which is a model-only version of the operational L4SM product that does not assimilate SMAP brightness temperature data.</p> <p>This repository contains the full README for the data. The data can be downloaded from:</p> <p>http://files.ntsg.umt.edu/data/SMAP_L4C_NatureRun/NRv7.2/</p>
POPC bilayers from MD simulations run with CHARMM using C36 parameters
<p>DCD trajectory files from MD simulations for aqueous POPC bilayers (no ions) at two sizes: 72 lipids (400 ns), and 648 lipids (200 ns) with frames spaced at 25 ps. Filenames indicate the number of lipids and the time range in nanoseconds. The original literature citation is:</p> <p>Mechanical properties of lipid bilayers from molecular dynamics simulation. Richard M. Venable, Frank L.H. Brown, Richard W. Pastor. Chemistry and Physics of Lipids 192 (2015) 60–74. </p> <p>http://dx.doi.org/10.1016/j.chemphyslip.2015.07.014</p>
FD-detector: Dataset gathered running measurements in the wild and Emulations for validation
<p>This file contains two folders: the dataset and emulation setup.</p> <p>The dataset is composed of warts files, resulting from traceroutes run with Scamper on NLNOG RING nodes. On the other hand, the emulations were performed on GNS3.</p>
Data from: Runs of homozygosity and signatures of selection: a comparison among eight local Swiss sheep breeds
A dataset consisting of 787 animals with high density SNP chip genotypes (346,774 SNP) and 939 animals with medium density SNP chip genotypes (33,828 SNP) from a total of 8 indigenous Swiss sheep breeds was analyzed to characterize population structures, quantify genomic inbreeding based on runs of homozygosity and identify selection signatures. In concordance with the recent known history of these breeds, the highest genetic diversity was observed in Engadine Red sheep and the lowest in Valais Blacknose sheep. Correlation between FPED and FROH was around 0.50 and thereby lower than that found in similar studies in cattle. Mean FROH estimates from medium density data and HD data were highly correlated (0.95). Signatures of selection and candidate gene analysis revealed that the most prominent signatures of selection were found in the proximity of genes associated with body size (NCAPG, LCORL, LAP3, SPP1, PLAG1, ALOX12, TP53), litter size (SPP1), milk production (ABCG2, SPP1), coat color (KIT, ASIP, TBX3) and horn status (RXFP2). For the Valais Blacknose sheep the private signatures in proximity of genes/QTL influencing body size, coat color and fatty acid composition were confirmed based on runs of homozygosity analysis. These private signatures underline the genetic uniqueness of the Valais Blacknose sheep breed. In conclusion we identified differences in the genetic make-up of Swiss sheep breeds and we present relevant candidate genes responsible for breed differentiation in locally adapted breeds.
Data from: Integration of Random Forest with population-based outlier analyses provides insight on the genomic basis and evolution of run timing in Chinook salmon (Oncorhynchus tshawytscha)
Anadromous Chinook salmon populations vary in the period of river entry at the initiation of adult freshwater migration, facilitating optimal arrival at natal spawning. Run timing is a polygenic trait that shows evidence of rapid parallel evolution in some lineages, signifying a key role for this phenotype in the ecological divergence between populations. Studying the genetic basis of local adaptation in quantitative traits is often impractical in wild populations. Therefore, we used a novel approach, Random Forest, to detect markers linked to run timing across 14 populations from contrasting environments in the Columbia River and Puget Sound, USA. The approach permits detection of loci of small effect on the phenotype. Divergence between populations at these loci was then examined using both principle component analysis and FST outlier analyses, to determine whether shared genetic changes resulted in similar phenotypes across different lineages. Sequencing of 9107 RAD markers in 414 individuals identified 33 predictor loci explaining 79.2% of trait variance. Discriminant analysis of principal components of the predictors revealed both shared and unique evolutionary pathways in the trait across different lineages, characterized by minor allele frequency changes. However, genome mapping of predictor loci also identified positional overlap with two genomic outlier regions, consistent with selection on loci of large effect. Therefore, the results suggest selective sweeps on few loci and minor changes in loci that were detected by this study. Use of a polygenic framework has provided initial insight into how divergence in a trait has occurred in the wild.
Data from: Adaptive genetic markers discriminate migratory runs of Chinook salmon (Oncorhynchus tshawytscha) amid continued gene flow
Neutral genetic markers are routinely used to define distinct units within species that warrant discrete management. Human-induced changes to gene flow however may reduce the power of such an approach. We tested the efficiency of adaptive vs. neutral genetic markers in differentiating temporally divergent migratory runs of Chinook salmon (Oncorhynchus tshawytscha) amid high gene flow owing to artificial propagation and habitat alteration. We compared seven putative migration timing genes to ten microsatellite loci in delineating three migratory groups of Chinook in the Feather River, CA: offspring of fall run hatchery broodstock that returned as adults to freshwater in fall (fall run), spring run offspring that returned in spring (spring run), and fall run offspring that returned in spring (FRS). We found evidence for significant differentiation between the fall and federally-listed threatened spring groups based on divergence at three circadian clock genes (OtsClock1b, OmyFbxw11 and Omy1009UW), but not neutral markers. We thus demonstrate the importance of genetic marker choice in resolving complex life history types. These findings directly impact conservation management strategies and add to previous evidence from Pacific and Atlantic salmon indicating that circadian clock genes influence migration timing.
Data from: Run to the hills: gene flow among mountain areas leads to low genetic differentiation in the Norwegian lemming
The endemic Norwegian lemming (Lemmus lemmus) is an icon for cyclic species, famous since the Middle Ages for its enormous population outbreaks and mass movements. Although the drivers behind this cyclicity have been intensively investigated, virtually nothing is known about the extent to which long-distance dispersal during population peaks actually lead to gene flow among mountain tundra areas. In this article, we use nine microsatellite markers to address this question and analyse range-wide genetic diversity and differentiation between Fennoscandian sub-regions. The results revealed a high genetic variation with a surprisingly weak population structure, comparable to that of much larger mammals. The differentiation was mainly characterized as a genetic cline across the species' entire distribution, and results from spatial autocorrelation analyses suggested that gene flow occurs with sufficiently high frequency to create a genetic patch size of 100 km. Further, we found that for the equivalent distances, the southern sub-regions were genetically more similar to each other than those in the north, which indicates that the prolonged periods of interrupted lemming cyclicity recorded in the northern parts of Fennoscandia have led to increased isolation and population differentiation. In summary, we propose that mass movements during peak years act as pulses of gene flow between mountain tundra areas, and that these help to maintain genetic variation and counteract differentiation over vast geographic distances.
Torso of a Running Youth
### Torso of a Running Youth **culture:** Roman **creation date:** 1st century A.D. **materials:** White Marble **dimensions:** H: 20 1/2 in. **accession number:** 61.141 **credit line:** Gift of Mr. and Mrs. J. W. Alsdorf Photography, reconstruction, and modeling by Matthew Brennan, Virtual World Heritage Laboratory, Indiana University More Information: http://collection.imamuseum.org/artwork/31731/ Source: Objaverse 1.0 / Sketchfab
Roman Piscina and pipe run
Colchester archaeology group dig Source: Objaverse 1.0 / Sketchfab
Dataset for article: Take the money and run: Psychopathic behavior in the trust game
<p>Dataset for article: Take the money and run: Psychopathic behavior in the trust game</p>
Myrtola run #1
<p>Dataset produced from recording run of the simulation of medieval Mértola, on the 2017/07/20, and for the period of one hour.</p> <p>Columns description: "run", "time", "living_gajos", "id", "estado", "x", "y", "z", "mood_V", "mood_A", "mood_D", "duracao_media", "action", "emotion_V","emotion_A","emotion_D","personal_V", "personal_A", "personal_D", "energy", "connectedness","chemicalsA","chemicalsB","chemicalsC", "dna", "num_interacao", "total_cooperacoes", "total_interacoes", "tipo_interacao", "V", "A", "D", "energy_tolerance", "connectedness_tolerance", "sleep_cycle". </p>
Databases needed to run snakemake classifier
<p>Parsed Silva and Unite databases required as input for a snakemake workflow used to classify 18S and ITS1 sequences</p>
Workflow Run RO-Crate capturing provenance from WSI conversion
<p>Example of <a href="https://www.researchobject.org/workflow-run-crate/profiles/">Workflow Run RO-Crate</a> capturing provenance data from an execution of the <a href="https://github.com/crs4/fair-crcc-img-convert/tree/main">fair-crcc-img-convert</a> workflow on a whole-slide image from the <a href="https://doi.org/10.7937/25T7-6Y12">Cancer Moonshot Biobank - Prostate Cancer Collection (CMB-PCA)</a>.</p><ul><li>Slide ID: MSB-02917-01-02, generated by Natasha Honomichl</li><li>Image License: <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></li></ul><p>Note that the license for the RO-Crate is CC BY 4.0, except for the workflow, which is licensed under the <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GPL-3.0</a>.</p>
Code to run the analyses of "Forest storm resilience depends on the interplay between functional composition and climate - insights from European-scale simulations" by Barrere et al. (2024).
<p>Repository containing the code to run the model and statistical analyses of the paper "Forest storm resilience depends on the interplay between functional composition and climate - insights from European-scale simulations" by Julien Barrere, Björn Reineking, Maxime Jeaunatre and Georges Kunstler, accepted by Functional Ecology in 2024.</p><p> </p><p>The code requires prior installation of the <a href="https://github.com/gowachin/matreex">matreex</a> R package, developped by Maxime Jeaunatre (INRAE), and of the ```targets``` package. The data folder, required to run the code, can be made available upon request to julienbarrere3@gmail.com</p><p> </p><p>Once the packages are installed and the data folder is placer in the main folder, just run ```targets::tar_make()``` from R and the script will download the other packages required and run the analyses.</p><p> </p><p>A version of this code is also available in the github <a href="https://github.com/jbarrere3/FunDiv_ipm">repository</a></p><p> </p><p> </p>
Recording provenance of workflow runs with RO-Crate (RO-Crate and mapping)
<p>RO-Crate for the manuscript that describes Workflow Run Crate, includes mapping to PROV using SKOS/SSSOM.</p>
Supplementary material 3 from: Demetriou J, Georgiadis C, Martinou AF, Roy HE, Wetterer JK, Borowiec L, Economo EP, Triantis KA, Salata S (2023) Running rampant: the alien ants (Hymenoptera, Formicidae) of Cyprus. NeoBiota 88: 17-73. https://doi.org/10.3897/neobiota.88.106750
Plates including morphological characteristics used in the identification key to distinguish alien from native worker ants inhabiting Cyprus
624230053 Erika Archer Running
Model by Adobe Mixamo, Character Name: Erika Archer, Animation Name: Running, Uploaded by 624230053 Miss Winanta Kongjaroen Section: 62/37, Information Technology Program, Faculty of Science and Technology, Nakhon Pathom Rajabhat University, Thailand. Source: Objaverse 1.0 / Sketchfab
[VISIR-2: input data for benchmark runs] OpenCPN
<p>Bathymetric data, namelists, as well as current and wind fields needed for the VISIR-2 ship weather routing model benchmark run against OpenCPN.</p>
Fig. 6.—Adult Lycaon pictus running off from a in Lycaon pictus (Carnivora: Canidae)
Fig. 6.—Adult Lycaon pictus running off from a kill with an impala (Aeypceros malampus) leg in Pilanesberg Game Reserve, North West Province, South Africa. Photograph courtesy of Mario Fazekas (https:// www.kruger-2-kalahari.com/photographing-african-wild-dogs.html) used with permission.
NovaScope - Minimal Test Run Dataset
<p>This is a small (1.14GB) test run dataset consisting of a subset of the (shallow) full liver section data published with the NovaScope protocol. This dataset is meant to be used to test the sanity of the pipeline, without necessarily offering a biologically meaningful interpretation. </p> <p>The dataset includes input 1st-seq and 2nd-seq data, along with the spatial barcode layout file. It does not contain histological images.</p> <p> </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.