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687 results for “systems analysis”
FIGURE 1 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 1. Simplification of the center of head movement as a joint in extinct Temnospondyli amphibian when biting. Elaborated from the original image (en.wikipedia.org/wiki/File:Jammerbergia_formops.jpg). Under license: CC BY-SA 3.0 (creativecommons.org/licenses/by-sa/3.0/).
FIGURE 4 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 4. Von Mises stress distribution in the skull for the Static Analysis in FEA in cases 1A, 2A, 3A, 1B, 2B and 3B.
FIGURE 2 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 2. Studied test cases of different feeding movements when applying a force F=800 N in the direction of the red arrow (when the force is perpendicular at the view the red arrow is a red dot). Case 1A, 2A and 3A with a fixed boundary condition in the condyle without the web of beams. Case 1B, 2B and 3B with the web of beams in the condyle and a fixed boundary condition.
manuscript (atmosphere-3145955) titled: The Black Sea Upwelling System: Analysis on the Western Shallow Waters Authored by: Maria Emanuela Mihailov was accepted in Atmosphere (ISSN 2073-4433) on 15 August 2024
<p>Datasets represents the modelling results for:</p> <p>- Coastal Upwelling Transport Index (CUTI) of the National Oceanic and Administrative Administration’s Environmental Research Division (NOAA-ERD) was used to derive the time series of the coastal upwelling index in four locations on the north-western Black Sea coast. The coastal upwelling index time series was calculated using monthly average wind fields from the European Centre for Medium-Range Weather Forecasts (ECMWFs) reanalysis and MATLAB software to compute the CUTI </p> <p>- The upwelling index (UI) is computed using the CUTI Formula (<span>Bakun Index </span>), defined as CUTI (m3·s−1·100 m−1), representing the volume transport per distance unit of an alongshore section. The sign of Ekman transport is changed to define positive or negative values of UI as a response to upwelling or downwelling favourable winds.<br>To compute the BEUTI, Copernicus Marine Service [1] data are used for dedicated locations.</p> <p>[1] <span>Grégoire,<em> </em>M.;<em> </em>Vandenbulcke,<em> </em>L.;<em> </em>Capet,<em> </em>A.<em> </em>Black<em> </em>Sea<em> </em>Biogeochemical<em> </em>Reanalysis<em> </em>(CMEMS<em> </em>BS-Biogeochemistry)<em> </em>(Version<em> </em>1)<em> </em>set.<em> </em>Copernicus<em> </em>Monitoring<em> </em>Environment<em> </em>Marine<em> </em>Service<em> </em>(CMEMS).<em> </em>2020.<em> </em>Available<em> </em>online:<em> </em>https://marine.copernicus.eu/<em> </em>(accessed<em> </em>on<em> </em>10<em> </em>November<em> </em>2023).</span></p>
Figure 4 in The circulatory system and its spatial relations to other major organ systems in Spelaeogriphacea and Mictacea (Malacostraca, Crustacea) - a three-dimensional analysis
Figure 4. Three-dimensional reconstructions of a semithin cross section series of Mictocaris halope. A–E, surface renderings of the main organ systems in the cephalothorax. A, three aspects of the digestive system. B, three aspects of the central nervous system. C, D, The haemolymph vascular system (HVS) in the cephalothorax. C, frontal aspect. D, lateral aspect. E, antero-dorsal aspect. F, three virtual sections of the whole image stack. Same colour codes as in the surface renderings. See the Appendix for a list of abbreviations used.
Figure 6 in The circulatory system and its spatial relations to other major organ systems in Spelaeogriphacea and Mictacea (Malacostraca, Crustacea) - a three-dimensional analysis
Figure 6. Schematic diagrams of the pumping function of the 'myoarterial formation a' in Mictocaris halope. A, diastole. B, systole. Arrows depict flow directions of the haemolymph. See the Appendix for a list of abbreviations used.
Figure 3 in The circulatory system and its spatial relations to other major organ systems in Spelaeogriphacea and Mictacea (Malacostraca, Crustacea) - a three-dimensional analysis
Figure 3. Major organ systems in Mictocaris halope. A, Schematic diagram of the haemolymph vascular system (HVS) and digestive system in M. halope. Arteries running into the antennae are depicted by broken lines. B, C, photographs of live animals showing the digestive system and the gonads (courtesy of Peter Parks, Image Quest 3D). B, dorsal aspect. C, lateral aspect. See the Appendix for a list of abbreviations used.
Figure 1 in The circulatory system and its spatial relations to other major organ systems in Spelaeogriphacea and Mictacea (Malacostraca, Crustacea) - a three-dimensional analysis
Figure 1. Reconstructions of the major organ systems in Spelaeogriphus lepidops. A, Schematic diagram of the haemolymph vascular system (HVS) and digestive system. Arteries running into the antennae are depicted by broken lines. B, C, three-dimensional reconstructions (surface rendering) of a horizontal semithin section series showing the HVS in the cephalothorax. B, antero-lateral aspect. C, Lateral aspect. D, E, three-dimensional reconstructions (surface rendering) of a horizontal semithin section series showing the central nervous system (CNS) in the cephalothorax. D, dorsal aspect. E, frontal aspect. F, three-dimensional reconstructions (surface rendering) of a horizontal semithin section series showing the major organ systems in the cephalothorax. Green, digestive system; red, HVS; yellow, CNS. The CNS is shown as slightly transparent. See the Appendix for a list of abbreviations used.
Graph Laplacians used in the article "Numerically Efficient $H_{\infty}$ Analysis of Cooperative Multi-Agent Systems"
<p>The repository contains four graph Laplacians written in the Matlab format. These matrices are used in the section "Numerical Examples" in the article "Numerically Efficient $H_{\infty}$ Analysis of Cooperative Multi-Agent Systems".</p>
Database used in : Analysis of intermunicipal journeys for cardiac surgery in Brazilian Unified Health System (SUS): an approach based on network theory
<p>Data and scripts referring to the results generated in the article entitled: <strong>Analysis of intermunicipal journeys for cardiac surgery in Brazilian Unified Health System (SUS): an approach based on network theory.</strong></p> <p> </p> <p>To obtain the results of the work the following sequence of database treatment was performed:</p> <p> </p> <p>DATASUS --> BASE_PER_YEAR --> EDGES_BASE --> EDGES_VC_BASE</p> <p>The bases were downloaded from the DATASUS site (link: https://datasus.saude.gov.br/transferencia-de-arquivos/#) in .dbc format separated by month and year; using Tabwin we joined the bases generating a base for each year in csv format. The reformatted bases are gathered together in the file PER_YEAR_BASE.ZIP; from the bases for each year we manually built the files in csv format with the list of the edges with the following fields: "Source", "Target", "Type", "Id", "Label" and "Weight". The "Source" column was filled with data from MUNIC_RES and the "Target" column with data from MUNIC_MOV. The "ID" and "Weight" fields were filled in automatically using Gephi, where the "Weight" column represents the sum of the edge, defined by the pair of Source and Target columns, were repeated throughout the year. This generated the bases containing the list of edges that are grouped in the file EDGES_BASE.ZIP. Each base was filtered to contain only edges related to the city "Vitória da Conquista" and grouped in the file EDGES_VC_BASE.zip</p> <p>INDE BASE --> NODES_BASE</p> <p>To build the list of nodes containing the list of municipalities with their respective geographical locations (in UTM), we used the database of the INDE (available on the link: https://visualizador.inde.gov.br/). The file in shape format was treated in the ArqGis program and the database with the network nodes was created (file NODES_BASE.csv).</p> <p>EDGES_VC_BASE and NODES_BASE --> NETWORK</p> <p>Using the program Gephi we joined the bases referring to the edges (EDGES_VC_BASE) and those referring to the nodes of the network (NODES_BASE) and built the networks for each year studied for the city of "Vitória da Conquista". All networks are in gephi format and compressed in the NETWORKS.zip file.</p> <p>EDGES_VC_BASE and NODES_BASE --> INDICES</p> <p>Using the R script "distance.R" and using as input the files of edges (EDGES_VC_BASE) and nodes (NODES_BASE) we generate files in csv format with the columns: dist_med_in , dist_med_out, Flow_in and flow_out. The indexes dist_med_in and dist_med_out represent the average distance traveled in meters to enter and leave the municipality, respectively; the indexes flow_in and flow_out estimate the quantity of people that entered and left the municipality. All index files are grouped in the compressed file INDICES.zip.</p> <p>The last two digits at the end of all file names represent the year of analysis. </p>
Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system
<p>Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3Dgel system</p> <blockquote> <p><strong>A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress (<em>Thlaspi arvense</em> L.) accessions</strong> - [<a href="https://doi.org/10.3389/fpls.2023.1145389">https://doi.org/10.3389/fpls.2023.1145389</a>]</p> </blockquote> <p>The following files contains:</p> <ul> <li><code>gel_data_preprocessing_20221024.R</code> - R statistics script for pre-processing data files from 3Dgel system GIARoots & DynamicRoots raw output</li> <li><code>gel_dataprocessing_20221229.R</code> - R statistics script for data processing of pre-processed 3D gel data</li> <li><code>TaGNS_N_Spring32.zip</code> - CSV data files and R statistics script for Spring32 grown under high, low, trace and zero N treatments.</li> <li><code>TaGNE_N_Accessions.zip</code> - CSV data files and R statistics script for 3 accessions under high and trace N treatments.</li> <li><code>TaGAA_N_Accessions.zip</code> - CSV data files and R statistics script for 24 diverse pennycress lines grown under high N conditions.</li> </ul>
High Performance Liquid Chromatography (HPLC) pigment analysis from rosette bottle samples at various depths from CalCOFI-CCE Augmented cruises in the California Current System, 2002 to 2023 (ongoing).
High Performance Liquid Chromatography (HPLC) samples are collected from rosette bottles (from three to eight different depths in the photic zone) at stations located within the CCE region on CalCOFI cruises (since 2002, ongoing). The HPLC method is used to measure concentrations of chlorophylls and carotenoids in samples of particulate matter, which includes filtering and freezing the filter while at sea. The taxon-specific phyto-pigments are extracted back onshore. Concentrations of chlorophyll a are used as a proxy for phytoplankton biomass and concentrations of other taxon-specific pigments are used to determine contributions of phytoplankton taxa to total phytoplankton biomass.
In-hospital patient safety events, healthcare costs and utilization: an analysis of data from the incident reporting system in an academic medical center
<p>Raw Datasets for the study 'In-hospital patient safety events, healthcare costs and utilization: an analysis of data from the incident reporting system in an academic medical center'.</p>
Insights into the operation of the solid Earth system from analysis of compiled geochemical data (Video)
<p>This is the first session video recording of the Goldschmidt 2020 Virtual Workshop: Earth Science meets Data Science - Services & Systems, Policies & Procedures, Tools & Techniques for Geochemistry. Moderated by Kerstin Lehnert (Columbia University)</p>
Does genetic diversity protect host populations from parasites? A meta-analysis across natural and agricultural systems
<p>If parasites transmit more readily between closely related hosts, then parasite burdens should decrease with increased genetic diversity of host populations. This important hypothesis is often accepted at face value - notorious epidemics of crop monocultures testify to the vulnerability of host populations that have been purged of diversity. Yet the relationship between genetic diversity and parasitism likely varies across contexts, differing between crop and non-crop hosts and between experimental and natural host populations. Here, we used a meta-analytic approach to ask if host diversity confers protection against parasites over the range of contexts in which it has been tested.</p> <p>We synthesized the results of 102 studies, comprising 2,004 effect sizes representing a diversity of approaches and host-parasite systems. Our results validate a protective effect of genetic diversity, while revealing significant variation in its strength across biological and empirical contexts. In experimental host populations, genetic diversity reduces parasitism by ~20% for non-crop hosts and by ~50% for crop hosts. In contrast, observational studies of natural host populations show no consistent relationship between genetic diversity and parasitism, with both strong negative and positive correlations reported. This result supports the idea that, if parasites preferentially attack close relatives, the correlation of genetic diversity with parasitism could be positive or negative depending upon the potential for host populations to evolve in response to parasite selection. Taken together, these results reinforce genetic diversity as a priority for both conservation and agriculture and emphasize the challenges inherent to drawing comparisons between controlled experimental populations and dynamic natural populations.</p>
Data from: Long-term population dynamics of dreissenid mussels (Dreissena polymorpha and D. rostriformis): a cross-system analysis
Dreissenid mussels (including the zebra mussel Dreissena polymorpha and the quagga mussel D. rostriformis) are among the world's most notorious invasive species, with large and widespread ecological and economic effects. However, their long‐term population dynamics are poorly known, even though these dynamics are critical to determining impacts and effective management. We gathered and analyzed 67 long‐term (>10 yr) data sets on dreissenid populations from lakes and rivers across Europe and North America. We addressed five questions: (1) How do Dreissena populations change through time? (2) Specifically, do Dreissena populations decline substantially after an initial outbreak phase? (3) Do different measures of population performance (biomass or density of settled animals, veliger density, recruitment of young) follow the same patterns through time? (4) How do the numbers or biomass of zebra mussels or of both species combined change after the quagga mussel arrives? (5) How does body size change over time? We also considered whether current data on long‐term dynamics of Dreissena populations are adequate for science and management. Individual Dreissena populations showed a wide range of temporal dynamics, but we could detect only two general patterns that applied across many populations: (1) Populations of both species increased rapidly in the first 1–2 yr after appearance, and (2) quagga mussels appeared later than zebra mussels and usually quickly caused large declines in zebra mussel populations. We found little evidence that combined Dreissena populations declined over the long term. Different measures of population performance were not congruent; the temporal dynamics of one life stage or population attribute cannot generally be accurately inferred from the dynamics of another. We found no consistent patterns in the long‐term dynamics of body size. The long‐term dynamics of Dreissena populations probably are driven by the ecological characteristics (e.g., predation, nutrient inputs, water temperature) and their temporal changes at individual sites rather than following a generalized time course that applies across many sites. Existing long‐term data sets on dreissenid populations, although clearly valuable, are inadequate to meet research and management needs. Data sets could be improved by standardizing sampling designs and methods, routinely collecting more variables, and increasing support.
Python Systems for Empirical Analysis
<p>Reference</p> <p>Studies who have been using the data (in any form) are required to include the following reference:</p> <p>@inproceedings{Orru2015, abstract = {The aim of this paper is to present a dataset of metrics associated to the first release of a curated collection of Python software systems. We describe the dataset along with the adopted criteria and the issues we faced while building such corpus. This dataset can enhance the reliability of empirical studies, enabling their reproducibility, reducing their cost, and it can foster further research on Python software.}, author = {Orrú, Matteo and Tempero, Ewan and Marchesi, Michele and Tonelli, Roberto and Destefanis, Giuseppe}, booktitle = {Submitted to PROMISE '15}, keywords = {Python, Empirical Studies, Curated Code Collection}, title = {A Curated Benchmark Collection of Python Systems for Empirical Studies on Software Engineering}, year = {2015} }</p> <p>About the Data</p> <p>Overview</p> <p>This paper presents a dataset of metrics taken from a curated collection of 51 popular Python software systems.</p> <p>The dataset reports 41 metrics of different categories: volume/size, complexity and object oriented metrics. These metrics and computed both at file and class level. We provide metrics for any file and class of each system and global metrics (computed on the entire system). Moreover we provide 14 meta-data for each system.</p> <p>Paper Abstract</p> <p>The aim of this paper is to present a dataset of metrics associated to the first release of a curated collection of Python software systems. We describe the dataset along with the adopted criteria and the issues we faced while building such corpus. This dataset can enhance the reliability of empirical studies, enabling their reproducibility, reducing their cost, and it can foster further research on Python software.</p>
Data for "Fractal analysis of urban catchments and their representation in semi-distributed models: imperviousness and sewer system"
<p>The data set corresponds the data used in the paper : “Fractal analysis of urban catchments and their representation in semi-distributed models: imperviousness and sewer system”, published in 2017 in the Journal “Hydrology and Earth System Sciences” (http://www.hydrol-earth-syst-sci.net/).</p> <p>More precisely it corresponds to the matrices that are used in the fractal and multi-fractal analysis of the ten urban areas investigated in the paper.</p> <p> </p> <p>For each catchment, it is organised as follow:</p> <p>- catchment_name_conduit.asc : the matrix describing the sewer system.</p> <p>- catchment_name_OSM.asc : the matrix describing the impervious areas (roads and buildings) obtained via Open Street Map (www.openstreetmap.org)</p> <p>- catchment_name_OSM_house_only.asc : the matrix describing the “building” areas obtained via Open Street Map (www.openstreetmap.org)</p> <p>- catchment_name_imperviousness.asc : the matrix describing the representation of imperviousness in operational semi-distributed models.</p> <p> </p> <p>More details can be found in the paper.</p>
Entropy Poduction in a Box: Analysis of Instabilities in Confined Hydrothermal Systems
<p>This data set was generated using the numerical tool SHEMAT suite. All relevant input and output files are given here for the scenarios discussed in our manuscript: (1) onset of convection, varying box geometry for (2) homogeneous models, and (3) heterogeneous models.</p> <p>Additionally, some Matlab files show how the simulation results are analyses d in terms of the entropy production.</p>
A systems analysis of sustainability impacts of agricultural policies in India - R script and supporting files
<p>This includes : </p><ul><li>two R scripts used to implement the model (residue_burning. R) and generate results (residue_burning_calls.R)</li><li>three supporting .csv files used in the R scripts above </li></ul><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.