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1,620 results for “SPRING”
Hot Springs (HOTS) Ground-based Vector Magnetic Field (L2) 0.5 s Data
Hot Springs, MT, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (HOTS), Station Location: (GEO Latitude 47.6, Longitude 245.3), THEMIS EPO/UCLA Network
Expression profiles of allopolyploids and their parents lines during allopolyploidization (Chines Spring and hexaploid)
GEO Series GSE65262. Triticum aestivum. 12 samples. Type: Expression profiling by array.
RNA-Seq study of Hypothalamus from intact and castrated Spring and Autumn migratory Buntings
GEO Series GSE134990. Emberiza bruniceps. 4 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profiles in fins after infection of zebrafish with Spring Viremia Carp Virus (SVCV)
GEO Series GSE58205. Danio rerio. 8 samples. Type: Expression profiling by array.
A suite of haploid genetic screens identifies SPRING as a novel determinant of SREBP signaling and cholesterol metabolism
GEO Series GSE143530. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Structure and Thermodynamics of N6-methyladenosine in RNA: a Spring-Loaded Base Modification
GEO Series GSE65380. Homo sapiens. 2 samples. Type: Other.
Phytoplankton assemblage during the North Atlantic spring bloom assessed from functional gene analysis
GEO Series GSE81262. synthetic construct; seawater metagenome. 13 samples. Type: Other.
FIGURE. 6 in Final instar larva of Franciscagrion longispinum Machado & Bedê, 2015 (Odonata Coenagrionidae), an endemic species from the springs of the São Francisco river
FIGURE. 6. Franciscagrion longispinum. Median and lateral lamellar of exuvia.
Vegetation spring phenology and climate impacts in freshwater marshes of the Tibetan Plateau
<p>Vegetation spring phenology (SOS) of freshwater marshes and its response to climate (including precipitation, maximum temperature, and minimum temperature) changes at different elevations of the Tibetan Plateau from 2001 to 2019.</p>
Model code and Data for manuscript 'The Role of Wave-induced Mixing in Spring Phytoplankton Bloom in the South Yellow Sea'
<p>This repository contains four files:</p> <p>(1) Wave-induced mixing data for China seas;</p> <p>(2) Water transparency data for the South Yellow Sea;</p> <p>(3) Observation data used in this study; and</p> <p>(4) Model code for our ecological model and model experiments, including configuration data file. </p>
Metal stable isotope probing microbial copper uptake rates with corresponding aqueous geochemistry of Yellowstone hydrothermal springs and outflows
Open the record for dataset details and reuse information.
Data from: Changes in swamp inundation duration control pCO2 in water over spring-neap tidal cycles in a subtropical mangrove forest
<p>These datasets were used in the article 'Changes in swamp inundation duration control pCO2 in water over spring-neap tidal cycles in a subtropical mangrove forest'. The methods used for data collection and processing are described in this article.</p>
arcole / pgpr-Nitrogenous nutrition efficiency of canola in spring : identification of targets for plant breeding
GEO Series GSE36730. Arabidopsis thaliana. 12 samples. Type: Expression profiling by array.
Identifying more realistic model structures by electrical conductivity observations of the karst spring
<p>The File contains the data and codes of four models used in the paper to simulate the spring discharge and EC.</p> <p>Due to the copyright, some functions used in the codes are from SAFE TOOLBOX developed by Francesca Pianosi (University of Bristol) which is upon request from the developer (francesca.pianosi@bristol.ac.uk, Pianosi, F., Sarrazin, F., Wagener, T., 2015. A Matlab toolbox for Global Sensitivity Analysis. Environmental Modelling & Software, 70: 80-85).</p> <p> </p> <p> </p> <p> </p>
Example simulation showing spatial and temporal variations in surface carbon biomass of plankton functional groups during a Spring bloom as shown by a 3D hydrodynamic-biogeochemical model (FVCOM-ERSEM), with and without integration of the mixoplankton paradigm.
<p>The outputs are from simulations from using the FVCOM hydrodynamic model coupled to two different versions of ERSEM – (i) ERSEM and (ii) ERSEM-PB (the latter includes the implementation of the mixoplankton paradigm through integration of the 'Perfect Beast' PB model; Flynn and Mitra 2009 <em>Journal of Plankton Research</em>).</p> <p>The FVCOM domain was configured to represent Lyme Bay: a protected bay on the South Coast of England. This region is an important area for shellfish aquaculture. The domain was configured at 350 m – 5 km high-resolution, resolving sub-km scale dynamics in the area. A nested modelling approach of increasing model resolution was set up using two model domains. For the coupled hydrodynamic-biogeochemical model, a parent domain of 1.5 km – 10 km resolution was used to drive Lyme Bay model domain. The atmospheric forcing was provided by a 3-step downscaling of GFS global datasets to reach the 3 km of the final model domain using the Weather Research Forecast (WRF) model. Hydrodynamic boundary conditions are extracted from the European Copernicus Marine System North West European Shelf Forecast system. River flows were extracted from a National scale hydrology model run by the Center for Hydrology and Ecology in the UK. Simulations were initialised at Jan 1<sup>st</sup> 2005, and spun up for 3 months prior to the output of the data visualised in these videos. </p> <p>The 6 videos portray spatial and temporal variation of daily averaged surface carbon biomass (μgC L<sup>-1</sup>) during the month of April 2005 for the different plankton functional types (FTs) as follows:</p> <ul> <li>Video 1: all phytoplankton FTs in standard ERSEM grouped together. These thus include diatoms, nano-, pico- and micro- plankton; i.e., these simulations do not discriminate between phytoplankton and constitutive mixoplankton (CM).</li> <li>Video 2: phytoplankton FT in ERSEM-PB now considering only diatoms and picoplankton (i.e., cyanobacteria) only; CM are now included in Video 3 outputs.</li> <li>Video 3: all mixoplankton FTs grouped together in ERSEM-PB. These outputs thus include biomasses of micro-CM, nano-CM and NCM.</li> <li>Video 4: all zooplankton FTs grouped together in standard ERSEM. Thus, these include nanoflagellates, meso- and micro- zooplankton and thus includes the primary producing non-constitutive mixoplankton</li> <li>Video 5: zooplankton FT representing only the heterotrophic nano- and micro- zooplankton in ERSEM-PB.</li> <li>Video 6: spatio-temporal variability between the constitutive and non-constitutive mixoplankton functional groupings within FVCOM-ERSEM-PB. </li> </ul> <p>For further information about the mixoplankton paradigm, please see the following open access publications and references there in:</p> <p>Mitra A, Caron DA, Faure E, Flynn KJ, Leles SG, Hansen PJ, McManus GB, Not F, Gomes HR, Santoferrara L, Stoecker DK, Tillmann U (2023) <strong>The Mixoplankton Database – diversity of photo-phago-trophic plankton in form, function and distribution across the global ocean</strong>. <em>Journal of Eukaryotic Microbiology</em>, e12972. <a href="https://doi.org/10.1111/jeu.12972">https://doi.org/10.1111/jeu.12972</a></p> <p>Glibert PM, Mitra A (2022) <strong>From webs, loops, shunts, and pumps to microbial multitasking: evolving concepts of marine microbial ecology, the mixoplankton paradigm, and implications for a future ocean</strong>. <em>Limnology and Oceanography</em> 67: 585-597 <a href="https://doi.org.10.1002/lno.12018">https://doi.org.10.1002/lno.12018</a> </p> <p>Mitra A, Irigoien X (2022) <strong>Mixoplankton – Marine Organisms that break the rules</strong>. EU Researcher. <a href="https://issuu.com/euresearcher/docs/mixitin_eur28_h_res">https://issuu.com/euresearcher/docs/mixitin_eur28_h_res</a> </p> <p>Flynn KJ, Mitra A, Anestis K, Anschütz AA, Calbet A, et al. (2019) <strong>Mixotrophic protists and a new paradigm for marine ecology: where does plankton research go now?</strong> <em>Journal of Plankton Research</em> 41: 375-391 <a href="https://doi.org/10.1093/plankt/fbz026">https://doi.org/10.1093/plankt/fbz026</a></p>
data set from the article Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 Sep;29(9):1427-1433. doi: 10.1002/oby.23232. Epub 2021 Aug 3. PMID: 34028990; PMCID: PMC8242726.
<p>data set from the article Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 Sep;29(9):1427-1433. doi: 10.1002/oby.23232. Epub 2021 Aug 3. PMID: 34028990; PMCID: PMC8242726.</p> <p> </p> <p>Abstract:</p> <p><strong>Objective: </strong>Adipose tissue plays a role in the novel coronavirus disease 2019 (COVID-19). Epicardial adipose tissue (EAT), a unique visceral fat, presents with a high degree of inflammation in severe COVID-19. Whether and how adipose tissue may respond to the COVID-19 therapies is unknown.</p> <p><strong>Methods: </strong>The difference in computed tomography-measured EAT and subcutaneous (SAT) attenuation, defined as mean attenuation expressed in Hounsfield units (HU), was retrospectively analyzed in 72 patients (mean [SD] age was 59.6 [12.4] years, 50 patients [69%] were men) at the hospital admission for COVID-19 and 99 days (interquartile range = 71-129) after discharge.</p> <p><strong>Results: </strong>At the admission, EAT-HU was significantly correlated with blood glucose levels, interleukin 6, troponin T levels, and waist circumference. EAT-HU decreased from -87.21 (16.18) to -100.0 (11) (p < 0.001), whereas SAT-HU did not change (-110.21 [12.1] to -111.11 [27.82]; p = 0.78) after therapy. Changes in EAT-HU (expressed as ∆) significantly correlated with dexamethasone therapy (r = -0.46, p = 0.006) and when dexamethasone was combined with tocilizumab (r = -0.24, p = 0.04).</p> <p><strong>Conclusions: </strong>Dexamethasone therapy was associated with significant reduction of EAT inflammation in COVID-19 patients, whereas SAT showed no changes. Anti-inflammatory therapies targeting visceral fat may be helpful in COVID-19.</p>
Temperature data for all streams in Hengill, spring 2015 - summer 2017
<p>Temperature data from iButtons.</p> <p>Further description and details can be found in the 'info' tab. To elaborate on the info there - during some periods, 3 iButtons / stream were deployed, but we only retained 1 temperature record (from 1 iButton) per stream - the iButton record retained was the one that had the least variation. In some cases ('none' in info tab) the iButton failed and data were not recorded for that stream during a specific time. All of these details are recorded in the 'info' tab.</p>
Spring Draft
<p>Spring Draft Instrumental song.</p>
A three-dimensional spring-loaded inverted pendulum walking model
The oscillatory behavior of the center of mass (CoM) and the ground reaction forces (GRFs) of walking people can be successfully explained by a 2D spring-loaded inverted pendulum model (SLIP). However, the application of the 2D model is just restricted to a two-dimensional plane and it doesn't take the GRFs in the lateral direction into consideration. In this article, we simulated the gait cycle with a nonlinear dynamic model – a three-dimensional bipedal walking model that compensated for defects in the 2D model. An experiment was conducted to compare the simulation results with the experimentaldata, which revealed that experimental data of the ground reaction forces were in good agreement with the results of numerical simulation. A correlation analysis was also conducted between several initial dynamic parameters of the model. Through an examination of the impact of 3D dynamics parameters on the peaks of GRFs in three directions, we found that the 3D parameters had a major effect on the lateral GRFs. These findings demonstrate that the characteristics of human walking can be interpreted from a simple spring-damper system.
Data on: Winter warming offsets one half of the spring warming effects on leaf unfolding
<p class="MsoNormal"><span>This dataset is the data used to create figures in paper of Global Change Biology entitled "Winter warming offsets one half of the spring warming effects on leaf unfolding", we constructed a phenological model based on the linear or exponential function between the chilling accumulation (CA) and forcing requirements (FR) of leaf-out. We further used the phenological model to quantify the relative contributions of chilling and forcing on past and future spring phenological change. The results showed that the delaying effect of decreased chilling on the leaf-out date was prevalent in natural conditions, as more than 99% of time series exhibited a negative relationship between CA and FR. The reduction in chilling linked to winter warming from 1951-2014 could offset about one half of the spring phenological advance caused by the increase in forcing. In future warming scenarios, if the same model is used and a linear, stable correlation between CA and FR is assumed, declining chilling will continuously offset the advance of leaf-out to a similar degree. Our study stresses the importance of assessing the antagonistic effects of winter and spring warming on leaf-out phenology.</span></p>
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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.