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5,371 results for “Flow”
Aurora A and cortical flows promote polarization and cytokinesis by inducing asymmetric ECT-2 accumulation - Data Archive
<p>This archive contains all the images and raw data generated for: Katrina M Longhini & Michael Glotzer, “Aurora A and cortical flows promote polarization and cytokinesis by inducing asymmetric ECT-2 accumulation”</p> <p>The data is organized by figure then experiment. Each embryo folder contains formatted embryos, which are rotated, cropped, and photobleach corrected. Each recording starts at time 0 on the respective graph.</p> <p>The “AccumulationDataNew” files contain all the data generated from the “3pixel_membranefinder_w_dir.ijm” and “membrane_ROI_TimeSeries_max_scaled_dirs.ijm” scripts organized in a Tidy format generated in R using the first portion of the script “Edited_Membrane_Accumulation_Line_Script.Rmd”. These Fiji and R Markdown scripts are located in the “Analysis Scripts“ folder.</p> <p>All data visualization scripts are included in the “Analysis Scripts” folder.</p> <p>Sequences of plasmids generated for this paper are located in the “Plasmid Sequences” folder.</p>
Lack of pollinators selects for increased selfing, restricted gene flow and resource allocation in the rare Mediterranean sage Salvia brachyodon
<p>Salvia brachyodon (Lamiaceae): raw data on flower morphometry, nectar concentration and volume and seed weight according various pollination treatments.</p>
A Policy and Infrastructure Evaluation Model of Commodity Flows through Inland Waterway Ports (Dataset)
<p>The purpose of this project is to guide strategic investment into port capacity through the development of a policy and infrastructure evaluation model of inland waterway commodity flows. A multi-stage stochastic optimization model will be developed to evaluate tradeoffs in strategic, long-term port infrastructure investment with mid-term capacity expansion decisions and provision of complementary highway infrastructure made by public and private stakeholders, and shorter-term operational practices made by shippers and carriers. This work builds on prior MarTREC projects which developed a Multi-Commodity Assignment Problem to estimate annual commodity flows through inland waterway ports from truck Global Positioning System (GPS), marine Automatic Identification System (AIS), and the Lock Performance Management System (LPMS). The proposed project will explore critical extensions of the assignment model: 1) disaggregation of the temporal scope to reflect monthly seasonality among commodities, 2) incorporation of uncertainty related to observed vehicle and vessel movement data, and 3) inclusion of transportation costs. With these extensions the team expects to increase the accuracy and resolution of the commodity-based port throughput estimates and to allow the model to be used to not only describe the current system but to prescribe policy and project investment strategies for public and private sector transportation decision makers. Calibration and validation of the multi-stage optimization model will be done through two case studies. The regional-based study will use historical truck GPS, marine AIS, and LPMS datasets. The national-based study will use data from the Billion Ton Study led by the US Department of Energy. This will ensure a feasible and realistic base-case on which to compare future policy scenarios. This project aligns with MarTREC’s research focus area in Maritime and Multimodal Logistics Management by modeling commodity flows through ports that serve as critical connections for the multimodal freight supply chain.</p>
Datasets of sap flow, meteorological, leaf gas measurements in urban green areas in Helsinki
<p>Datasets of sap flow, meteorological, leaf gas measurements used in the manuscript “Sap flow and leaf gas exchange response to drought and heatwave in urban green spaces in a Nordic city”. Data contains cleaned half-hourly sap flow data and half-hourly meteorological datasets (Tair, Tsoil, RH, soil temperature, soil moisture) at four different urban green areas in Helsinki.</p> <p>Manual measurements of leaf gas exchanges using GFS instruments. Datasets contains mainly the Amax parameters derived from curve fitting and instantaneous values of G and E at PAR 1100 W m<sup>-2</sup>.</p> <p>Folders contain:</p> <ul> <li>Leaf gas exchange data <ul> <li>Leaf_gas_data_all_v2.csv</li> <li>Metadata_leaf gas exchange data.csv</li> </ul> </li> <li>Meteo data <ul> <li>Meteo_Forest_data_30min.csv</li> <li>Meteo_Orchard_data_30min.csv</li> <li>Meteo_Park_data_30min.csv</li> <li>Meteo_Street_data_30min.csv</li> <li>Metainfo_meteo.xlsx</li> </ul> </li> <li>Sap flow data <ul> <li>Sap_Forest_30min_cleaned.csv</li> <li>Sap_Orchard_30min_cleaned.csv</li> <li>Sap_Park_30min_cleaned.csv</li> <li>Sap_Street_30min_cleaned.csv</li> <li>Metadata_info_sap.csv</li> </ul> </li> </ul>
Low-frequency oscillations of blood flow velocity
<p>figS4a-d.h5 - Intensity profiles obtained by scanning along a line (described by the below attribute) placed along a FITCdextran stained vessel. Record features traces of individual red blood cells from which the blood flow velocity in figure S4 was obtained.<br> File contains single dataset:<br> 1 - Imaging data_200807_111309 -> voltage from PMT collecting FITCdextran fluorescence signal<br> The dataset features two attributes:<br> 1 - Display Time -> hologram dwell time in microseconds<br> 2 - Image Dimentions -> dimensions of the full resolution image used prior the line-scans has been selected <br> 3 - ROI_XY -> coordinates of individual pixels of the scanning trajectory</p> <p> </p>
Multi-fidelity modelling of shark skin denticle flows: Insights into drag generation mechanisms
<p>We investigate the flow over smooth (non-ribletted) shark skin denticles in an open-channel flow using Direct Numerical Simulation (DNS) and two Reynolds Averaged Navier-Stokes (RANS) closures. Large peaks in pressure and viscous drag are observed at the denticle crown edges, where they are exposed to high-speed fluid which penetrates between individual denticles, increasing shear and turbulence. Strong lift forces lead to a positive spanwise torque acting on individual denticles, potentially encouraging bristling if the denticles were not fixed. However, DNS predicts that denticles ultimately increase drag by 58 % compared to a flat plate.</p> <p>Good predictions of drag distributions are obtained by RANS models, although an underestimation of turbulent kinetic energy production leads to an underprediction of drag. Nevertheless, RANS methods correctly predict trends in the drag data and the regions contributing most to viscous and pressure drag. Subsequently, RANS models are used to investigate the dependence of drag on the flow blockage ratio (boundary layer to roughness height ratio), finding that the drag increase due to denticles is halved when the blockage ratio δ /h is increased from 14 to 45. Our results provide an integrated understanding of the drag over non-ribletted denticles, enabling existing diverse drag data to be explained.</p>
Data from laboratory granular-flow experiments with acoustic sensors
<p>Experimental data of dynamic pressures generated by dry granular flows moving down and impacting on a plate embedded in an inclined chute facility. The data consists of basal impact pressures measured with a pressure sensor for variable slope angle ranging from 30° to 38° with an initial mass of 100 kg.</p>
Transient recording of hydrogen flow within GrInHy2.0 electrolyser plant
<p>Transient hydrogen flow in Nm^3/h within the battery limit of the GrInHy2.0 electrolysis plant and on interface to grid. Cycle: Partial load and start/stop from hot-standby operation over approx. 4 hours.</p>
NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations
<p>Determining mass-based material flow compositions (MFCOs) is crucial for assessing and optimizing the recycling of post-consumer plastics. Currently, MFCOs in plastic recycling are mostly determined through manual sorting analysis, but the use of inline near-infrared (NIR) sensors holds potential to automate the characterization process, paving the way for novel sensor-based material flow characterization (SBMC) applications. The NIR-MFCO dataset aims to expedite SBMC research by providing NIR-based false-color images of plastic material flows with their corresponding MFCOs. The false-color images were created through the pixel-based classification of binary material mixtures using a hyperspectral imaging camera (EVK HELIOS NIR G2-320; 990 nm – 1678 nm wavelength range) and the on-chip classification algorithm (CLASS 32). The resulting NIR-MFCO dataset includes <em>n</em> = 880 false-color images from three test series: (T1) high-density polyethylene (HDPE) and polyethylene terephthalate (PET) flakes, (T2a) post-consumer HDPE packaging and PET bottles, and (T2b) post-consumer HDPE packaging and beverage cartons for <em>n</em> = 11 different HDPE shares (0% - 50%) at four different material flow presentations (singled, monolayer, bulk height H1, bulk height H2). The dataset can be used, e.g., to train machine learning algorithms, evaluate the accuracy of inline SBMC applications, and deepen the understanding of segregation effects of anthropogenic material flows, thus further advancing SBMC research and enhancing post-consumer plastic recycling.</p>
Data for: Amazonian birds in more dynamic habitats have less population genetic structure and higher gene flow
<p>Understanding the factors that govern variation in genetic structure across species is key to the study of speciation and population genetics. Genetic structure has been linked to several aspects of life history, such as foraging strategy, habitat association, migration distance, and dispersal ability, all of which might influence dispersal and gene flow. Comparative studies of population genetic data from species with differing life histories provide opportunities to tease apart the role of dispersal in shaping gene flow and population genetic structure. Here, we examine population genetic data from sets of bird species specialized on a series of Amazonian habitat types hypothesized to filter for species with dramatically different dispersal abilities: stable upland forest, dynamic floodplain forest, and highly dynamic riverine islands. Using genome-wide markers, we show that habitat type has a significant effect on population genetic structure, with species in upland forest, floodplain forest, and riverine islands exhibiting progressively lower levels of structure. Although morphological traits used as proxies for individual-level dispersal ability did not explain this pattern, population genetic measures of gene flow are elevated in species from more dynamic riverine habitats. Our results suggest that the habitat in which a species occurs drives the degree of population genetic structuring via its impact on long-term fluctuations in levels of gene flow, with species in highly dynamic habitats having particularly elevated gene flow. These differences in genetic variation across taxa specialized in distinct habitats may lead to disparate responses to environmental change or habitat-specific diversification dynamics over evolutionary time scales.</p>
Supplementary data for: "Towards automatic generation of control structures for Process Flow Diagrams (PFDs) with Artificial Intelligence"
<p>Uploaded on 20. February 2023</p> <p>This is the supplementary data for the publication</p> <p>"Towards automatic generation of control structures for Process Flow Diagrams (PFDs) with Artificial Intelligence" (2023) by Edwin Hirtreiter, Lukas Schulze Balhorn, Artur M. Schweidtmann</p> <p>Corresponding author: A. M. Schweidtmann, E-mail: a.schweidtmann@tudelft.nl<br> Delft University of Technology, Department of Chemical Engineering, Process Intelligence Group, Van der Maasweg 9, 2629 HZ Delft, The Netherlands</p> <p>The folder contains json files with the training (train), test (test), and augmented training (train_augm) data files. The json files contain syntetically generated SFILES. </p> <p>The pre-print of the manuscript is accessible at https://doi.org/10.48550/arXiv.2211.05583</p>
Safe and Just Earth Systems Boundaries for Surface Water: Hydrologic Alteration of Environmental Flows
<p>Title: <strong>Safe and Just Earth Systems Boundaries for Surface Water: Hydrologic Alteration of Environmental Flows</strong> Author: Pamela A. Green (<a href="mailto:pg@pamelaagreen.com">pg@pamelaagreen.com</a>), Advanced Science Research Center, CUNY, New York, NY USA <a href="https://orcid.org/0009-0006-7803-8182">https://orcid.org/0009-0006-7803-8182</a></p> <p>The python Jupyter Notebook <strong>SafeJustEarthSysBnd_EstressCUNY-Griffith2022-23.ipynb</strong> and accompanying data sets represent spatial modelling for development of the safe and just surface water target for Working Group 3 of the Earth Commission for the Earth Commission Long Report and the "Safe and Just Earth Systems Boundaries" publication. The surface water target includes spatial modelling of the extent of global-scale hydrological alteration of environmental flows.</p> <p>All input datasets required to run the model are located under the <strong>ModelInput</strong> folder with raster data in zipped format to minimize space requirements. The code extracts the zipped files and then deletes the uncompressed files upon completion. All model outputs are located under the <strong>ModelOutput</strong> folder.</p> <p>Please reference the <strong>README.xlsx</strong> file for a full listing of the model input and output data files.</p>
Data for: Herbivores disrupt the flow of food resources to termites in dryland ecosystems
<p><span>Irruption of herbivore populations due to the extirpation of predators has led to dramatic changes in ecosystem functioning worldwide. Herbivores compete with other species for their primary source of nutrition, plant biomass. Such competition is typically considered to occur between species in closely related clades and functional groups but could also occur with detritivores that consume senescent plant biomass. Here, we test predictions that herbivores' indirect impacts on dead vegetation increase with primary productivity and extend to termites which feed on senescent vegetation. We compared dead vegetation cover and termite activity in herbivore exclosures and associated grazed plots at 3 locations situated along a rainfall gradient in arid Australia where kangaroo populations have irrupted. Dead vegetation cover and termite activity increased with rainfall in ungrazed plots but showed a negligible response to rainfall in grazed plots. Our results suggest that grazing can disrupt the flow of energy to detritivores and decouple the relationship between termite activity and primary productivity. Such disruption could have far-reaching impacts on arid ecosystems because many organisms sit within "brown food webs" that are sustained by energy derived from decomposition of senescent plant-tissues. </span></p>
Dataset: A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery
<p>Dataset for the results shown in the publication "A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery"</p>
Data accompanying the paper "The electron flow in marine sediments experiencing microbial long-distance electron transport"
<p>Data accompanying the paper "The electron flow in marine sediments experiencing microbial long-distance electron transport"</p>
Dual-modal imaging of two-phase flows with electromagnetic flow tomography and electrical tomography -- experimental evaluation of the state estimation approach
<p>The supplementary files included are associated with our experimental research on two-phase flow estimation. This study experimentally investigates the feasibility of a state estimation approach for dynamic image reconstruction in dual-modal tomography of two-phase oil-water flows using electromagnetic flow tomography (EMFT) and electrical tomography (ET). By approximating the process with a convection-diffusion model, the extended Kalman filter and fixed-interval Kalman smoother are applied to reconstruct temporally evolving velocity and phase fraction distributions. The results demonstrate that the Kalman smoother-based reconstructions, along with uncertainty estimates, outperform conventional methods and provide feasible volumetric flow rate estimates for oil and water phases in a laboratory setup.</p>
PlasBin-flow: A flow-based MILP algorithm for plasmid contigs binning
<p>PlasBin-flow is a method for detecting plasmid contigs bins from the assembly graph for a given bacterial sample. The method is based on a Mixed-Integer Linear Programming (MILP) formulation.</p> <p>The data shared consists of output files of PlasBin-flow as well as those of 5 other plasmid binning methods, namely, PlasBin, HyAsP, MOB-recon, plasmidSPAdes and gplas for 66 test samples. Details about each sample have been provided in the file <strong>samples.csv</strong>. </p> <p>The output folder contains one folder per sample. Each sample folder contains the following files: </p> <ul> <li>PlasBin-flow was executed using 7 different weight combinations for the objective function of the MILP.<br> For every weight combination <span class="math-tex">\((a,b,c)\)</span> , we have a file name <em>plasbin_flow_a_b_c_bins.out.</em></li> <li>PlasBin: <em>plasbin_contig_chains.csv</em>,</li> <li>HyAsP: <em>hyasp_plasmid_contigs.fasta</em>,</li> <li>MOB-recon: <em>mob_recon_contig_report.txt</em>,</li> <li>plasmidSPAdes: <em>plasmidspades_contigs.fasta</em>,</li> <li>gplas: <em>gplas_bins.tab</em>.</li> </ul> <p> </p> <p> </p>
Increasing stability of a native freshwater fish assemblage following flow rehabilitation
<p>Stream restorations are increasingly critical for managing and recovering freshwater biodiversity in human-dominated landscapes. However, few studies have quantified how rehabilitative actions promulgate through aquatic communities over decades. </p> <p>Here, a long-term dataset is analyzed for fish assemblage change, incorporating data pre- and post-restoration periods, and testing the extent to which native assemblage stability increased over time. In the late 1950s, a large capacity dam was installed on Putah Creek (Solano County, CA, USA) which altered the natural flow regime, channel structure, geomorphic processes, and overall ecological function. Notably, downstream flows were reduced (especially during summer months) resulting in an aquatic assemblage dominated by warmwater nonnative species, while endemic native species subsisted at low levels as subordinates. A court-mediated Accord was ratified in 2000 providing a more natural flow regime, specifically for native and anadromous fishes in the stream. Richness of nonnative species decreased at every site following the Accord, while richness of native species increased or stayed constant. At the three most upstream sites, native species richness increased over time and ultimately exceeded nonnative richness. Native assemblage recovery was strongest upriver, closer to flow releases and habitat restoration activities, and decreased longitudinally downstream. Rank-abundance curves through time revealed that while species evenness was low throughout the study, dominance shifted from nonnative to native species in the upstream sites coincident with rehabilitation efforts. Mean rank shifts decreased following flow rehabilitation; thus the assemblage became increasingly stable over time following flow rehabilitation. Putah Creek’s rehabilitation may represent a model for others interested in improving endemic freshwater communities in degraded ecosystems.</p>
Discrete and continuum simulations of bedload transport with kinetic theory of granular flow
<p>This depository contains the simulation results used in the publication Chassagne, R., Chauchat J. & Cyrille B. (2023). A frictional-collisional model for bedload transport based on kinetic theory of granular flows: discrete and continuum approaches.</p> <p>It contains DEM results as well as the results of the continuum model. The results are written in text files containing headers with name and units of the variables.</p>
Merging and imputation of flow cytometry data: a critical assessment
<p>This dataset contains the data necessary to reproduce the analyses by Mocking <em>et al</em>.</p> <p>Scripts for reproducing our analyses are available at:</p> <p>https://github.com/AUMC-HEMA/imputation-manuscript</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.