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6,410 results for “results”
Wildlife in the greater Phoenix, Arizona, USA metropolitan area: results of a camera-trapping project (2019-2020)
The goal of this research project was to evaluate how wildlife populations responded to the gradient of urbanization. We deployed 50 wildlife cameras across the gradient of urbanization from downtown Phoenix to nearby wildland areas from January 2019 to August 2020. We documented a suite of wildlife species, from small mammals and birds to large mammals. Data present whether a species was detected at a site during this time period.
Wildlife along the Salt River corridor of the greater Phoenix, Arizona, USA metropolitan area: results of a camera-trapping project (2020-2021)
The goal of this research project was to evaluate how wildlife populations responded to the gradient of urbanization, water, and vegetation. We deployed 43 wildlife cameras across the gradient of urbanization January 2021 to January 2022. We documented a suite of wildlife species, from small mammals and birds to large mammals. Data present whether a species was detected at a site during this time period.
Agronomic Soil Test Results at the Kellogg Biological Station, Hickory Corners, MI (1992 to 2019)
Dataset Abstract Soil samples are taken annually (usually in the Fall) for fertilizer recommendations and analyzed by the Michigan State University Soils Laboratory. The soil samples are taken from the annual treatments T1 though T4 and T6. original data source http://lter.kbs.msu.edu/datasets/71
2009 LENS geotechnical core results
2009 LENS Geotechnical and Biomass Results from 72 hand auger cores (50 cm depth) retrieved from LENS and TIDE project creeks (Sweeney, West, Clubhead, Nelson) in Rowley, MA. Thirty-six of these cores were processed for bulk density and bulk organic content (from loss on ignition, LOI) ; results are presented here. The remainder 36 auger cores were processed for aboveground biomass and belowground biomass and results are presented in files STP-LENS-2009-above-biomass and STP-LENS-2009-below-biomass, respectively.
2009 LENS belowground biomass core results
2009 LENS Geotechnical and Biomass Results from 72 hand auger cores (50 cm depth) retrieved from LENS and TIDE project creeks (Sweeney, West, Clubhead, Nelson) in Rowley, MA. Thirty-six of these cores were processed for aboveground and belowground biomass (roots, rhizomes, detritus) . Results for belowground biomass presented here. Above ground biomass results are presented in file STP-LENS-2009-above-biomass. The remainder 36 of these cores were processed for bulk density and bulk organic content (from loss on Iinition, LOI) and results are presented in file STP-LENS-2009-geotechnical.
2009 LENS aboveground biomass results
2009 LENS Geotechnical and Biomass Results from 72 hand auger cores (50 cm depth) retrieved from LENS and TIDE project creeks (Sweeney, West, Clubhead, Nelson) in Rowley, MA. Thirty-six of these cores were processed for aboveground biomass and belowground biomass. Results presented here are aboveground biomass. Results for belowground biomass are presented in file STP-LENS-2009-below-biomass. The remainder 36 auger cores were processed for bulk density and bulk organic content (from loss on ignition, LOI) and results are presented in STP-LENS-2009-geotechnical.
Lidar digital elevation models and topographic change detection results from burned and unburned plots in the Sevilleta LTER.
These data were generated as part of a research project focused on montiroing sediment flux in dryland ecosystems following wildfire. In six separate small plots, three burned and three unburned, we conducted light detection and ranging (lidar) topographic surveys in 2016, 2017, and 2018 to document elevation changes and the volume of sediment deposition and erosion. At the down-wind edge of each plot, we used sediment catchers to trap sediment exiting the plots and thus estimate erosion volumes using in-situ equipment, which provided a secondary measurement of sediment efflux from all sites in addition to the lidar data. We used the geomorphic change detection software (https://gcd.riverscapes.xyz/) to produce maps of topographic change from the lidar digital elevation models for the 2016-2017 and 2017-2018 periods at all plots, burned and unburned. Results from this project may aid in understanding post-fire transport of sediment and nutrients from drylands following wildfire.
Metagenomic assembly and bin3C clustering result for a healthy human faecal microbiome transplant donor
<p>Metagenomic WGS assembly and Hi-C deconvolution of a healthy human faecal microbiome transplant donor.</p> <p>Metagenomic assembly was produced using Spades (v3.13.1).</p> <p>Extracted MAGs were produced using bin3C (v0.3.3) and QC'd using CheckM (v1.0.18).</p>
Data for Research Assessment in the Transition to Open Science. 2019 EUA Open Science and Access Survey Results
<p>This database refers to the data collected by the European University Association (EUA) for its Open Science and Access Survey 2019, which gathered responses from universities and higher education institutions across Europe. The full report published by the association is available at <a href="https://eua.eu/resources/publications/888:research-assessment-in-the-transition-to-open-science.html">https://eua.eu/resources/publications/888:research-assessment-in-the-transition-to-open-science.html</a>.</p> <p>The data included in this database refers only to those universities and higher education institutions that accepted their data to be available in open access (n=174). All information that could lead to the identification of individual universities and higher education institutions was removed from the database (cf. cells highlighted in red). The following files are available:</p> <ul> <li>2019 EUA Open Science and Access Survey</li> <li>Database in the following formats: .xlsx (Microsoft Excel)</li> <li>Survey Codebook: includes information on all the variables and their coding.</li> </ul>
Dataset: Knowledge, information needs and behavior regarding HIV and sexually transmitted infections among migrants from sub-Saharan Africa living in Germany: Results of a participatory health research survey.
<p>Dataset for: Koschollek C, Kuehne A, Müllerschön J, Amoah S, Batemona-Abeke H, Dela Bursi T, Mayamba P, Thorlie A, Mputu Tshibadi C, Wangare Greiner V, Bremer V, Santos-Hövener C: Knowledge, information needs and behavior regarding HIV and sexually transmitted infections among migrants from sub-Saharan Africa living in Germany: Results of a participatory health research survey.</p> <p>This dataset has been described in a PLoS One paper and contains all data necessary to replicate the results presented within this paper (10.1371/journal.pone.0227178). Please cite both the paper as well as the DOI of this dataset if you make use of the data.</p>
Matsim Simulation Aggregated Results Hasselt
<p>This dataset contains aggregated results for the following scenarios based on Matsim simulations.</p> <p>1. Base scenario</p> <p>2. Car access restriction scenario (Policy 1)</p> <p>3. Increased in bus frequency scenario (Policy 2)</p>
Matsim Simulation Aggregated Results Bologna
<p>This dataset contains aggregated results for the following scenarios based on Matsim simulations.</p> <p>1. Base scenario</p> <p>2. Car access restriction scenario (Policy 1)</p> <p>3. Increased in bus frequency scenario (Policy 2)</p>
Why, what and how do European healthcare managers use performance data? Results of a survey and workshop among members of the European Hospital and Healthcare Federation (Data set; anonymised)
<p>The dataset presents results of a descriptive cross-sectional study based on a survey, delivered through an online self-reported questionnaire. The questionnaire was distributed to managers of hospitals and other health care organisations in a purposive sample of participants to the Exchange Programmes of the European Hospital and Health Care Federation (HOPE) eliciting information on the actual use of performance data in hospitals and other healthcare organisations in Europe in 2019.<br> Data collected through the online questionnaire was analysed using univariate descriptive statistics. Analyses were conducted using the R statistical program version 3.6.1. Respondents were, for certain parts of the analysis, sub-grouped by their reported managerial position and experience, as well as the type of organisation they work for. Analysis was done on a full sample of respondents, including the primary, 2019 HOPE Exchange Programme participants, and the secondary study population, 2015-2018 Exchange Programme alumni and local hosts.</p>
R code and radiocarbon dates to reproduce figures and results of our paper "Population dynamics ..."
<p>R Codes and dataset to reproduce figures and results of the paper <strong><em>Population dynamics during the Neolithic transition and the onset of megalithism in Portugal according to summed probability distribution of radiocarbon determinations</em>. </strong></p>
Results of the MECinFire experiment in Fed4FIRE+ EU project
<p><strong>Multi-access Edge Computing (MEC)</strong> has been proposed as the means to drastically minimize the service access latency, by bringing computational resources and services closer to the wireless network edge. Edge resources are planned to be extensively used in the 5G network deployments, as they are able to meet stiff latency demands required from services being developed around this ecosystem (e.g. AR/VR, e-Health, Industry 4.0, etc.), by providing computational capabilities where such services can be executed close to the network edge. At the same time, 5G networks redefine the operation of traditional base station units, by disaggregating them and operating part of them in the Cloud, thus creating Cloud-RANs. These Cloud-RANs can also be heterogeneous, allowing users to access the network through multiple wireless technologies (e.g. dual access through 5G-NR and LTE). In this project, we blend the novel disaggregated and heterogeneous base station architecture with the MEC concept, and develop and experiment with the deployment of the edge computing services even closer to the network edge. In MECinFIRE we developed a software prototype that allows services to be executed close or over the machines hosting the radio access services for the network access. Our experiment provides several proof-of-concept experiments that illustrate the applicability and benefits of our solution in real 5G networks. The experiment was evaluated in a real testbed environment, while measuring KPIs regarding the end-to-end user to service latency.</p> <p>This repository contains the dataset of the experimental results produced by the MECinFIRE Project within the FED4FIRE+.</p>
Assembly and variant calling results of strain mixtures of HCMV
<p>The tgz files contain the assembly contigs of 10 different assemblers and variant calling results of 6 callers on the strain mixture dataset of the HCMV virus. </p>
Results of SWOT/PESTEL analyses for selected bio-based products
<p>The dataset provide SWOT/PESTEL factors considered in the aspect of improvements of the current sustainability schemes and exemplary approach to weighing indicators attributed to the factors.</p>
N2-sorption and catalytic results of doped Cu-catalysts for glycerol hydrogenolysis
<p>This repository includes experimental data associated with the following publication: A. Bouriakova et al., "Dopant induced stabilization of alumina supported copper – impact on the catalytic performance in the hydrogenolysis of glycerol to 1,2-propanediol", submitted to Catalysis Communications in April 2020</p> <p> </p> <p>In this work, five catalysts supported on γ-Al<sub>2</sub>O<sub>3</sub> were studied, i.e. one bare Cu and four doped-Cu catalysts. The catalysts were prepared via sequential impregnation. The nominal dopant loading was 1wt%, for the Cu a nominal value of 10wt% was selected:</p> <p>- 10wt% Cu/-Al2O3, indicated as Cu</p> <p>- 1wt%Ba-10wt% Cu/-Al2O3, indicated as Ba-Cu<br> - 1wt%Ce-10wt% Cu/-Al2O3, indicated as Ce-Cu<br> - 1wt%Cs-10wt% Cu/-Al2O3, indicated as Cs-Cu<br> - 1wt%La-10wt% Cu/-Al2O3, indicated as La-Cu</p> <p> </p> <p>The catalysts were investigated for 68 h for continuous flow pure glycerol hydrogenolysis in a trickle bed regime at 473 K, 7.5 MPa, 135 kg<sub>cat </sub>s mol<sup>-1</sup><sub>glycerol </sub>and 7 mol<sub>H2</sub> mol<sup>-1</sup><sub>glycerol</sub>, and compared for glycerol conversion, 1,2-propanediol selectivity and stability.</p> <p>The data file contains the glycerol conversion and selectivities over time for the studied catalysts, in combination with N<sub>2</sub>-sorption data of those catalysts. In addition, an overview of literature data on glycerol hydrogenolysis is given (Fig 1 in the manuscript).</p>
Alya Eulerian LES results fire extinction nozzle low mass flow rate (paraview files)
<p>The present data complements the Deliverable 5.2. Toolchain V2 to couple CFD and multiple droplet and continuous droplet models.It includes a paraview file (*pvd) for the continuous droplet model (Eulerian-Eulerian) with an inlet mass flow rate of 0.05 kg/s. </p> <p>The unstructured mesh employed to simulate the injector system is composed by 81.6 million tetrahedrons that include the internal ow in the nozzle and the discharged atmosphere. Three levels of refinement are considered to characterize the internal ow and the near eld after the expansion, the jet penetration up to 15D (being D=2mm, the diameter of the nozzle) and the surrounding air with mesh resolution of 0.1, 0.3 and 1.5 mm respectively. A conservative level set is used in combination a a second order low dissipation finite element scheme and the LES model Vreman. </p> <p>Considered variables are: </p> <p> <PDataArray type="Float64" Name="AVD32_average"/> : average particle size distribution</p> <p> <PDataArray type="Float64" Name="AVDEN_average"/> : average density</p> <p> <PDataArray type="Float64" Name="AVL _average"/> : average liquid fraction</p> <p> <PDataArray type="Float64" Name="AVL2 _average"/>: average square liquid fraction </p> <p> <PDataArray type="Float64" Name="AVS _average"/>: average surface density</p> <p> <PDataArray type="Float64" Name="AVS0 _average"/>: average surface density 0</p> <p> <PDataArray type="Float64" Name="CON01_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="CON02_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="CON03_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="CON04_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="D32 _average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="DENSI_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="PRESS_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="SIGM0_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="SIGMA_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="TURBU_average"/>: not relevant (instantaneous values)</p> <p> <PDataArray type="Float64" Name="VELOC_average" NumberOfComponents="3"/>: average velocity</p> <p> <PDataArray type="Float64" Name="VISCO_average"/>: not relevant (instantaneous values)</p>
Experimental Results for the study "A Modular Hybridization of Particle Swarm Optimization and Differential Evolution"
<p>This repository contains the experiment results and R scripts to analyze the data for the study "A Modular Hybridization of Particle Swarm Optimization andDifferential Evolution", which is accepted in <em>The Genetic and Evolutionary Computation Conference</em> (GECCO) '20 conference: </p> <p>Rick Boks, Hao Wang, and Thomas Bäck. 2020. A Modular Hybridization of Particle Swarm Optimization and Differential Evolution. In <em>Genetic and Evolutionary Computation Conference Companion (GECCO ’20 Companion), July 8–12, 2020, Cancún, Mexico. </em>ACM, New York, NY, USA, 8 pages. <a href="http://https: //doi.org/10.1145/3377929.3398123">https: //doi.org/10.1145/3377929.3398123</a></p> <p>Bibtex:</p> <pre><code class="language-markdown">@inproceedings{BoksWB20, author = {Rick Boks and Hao Wang and Thomas B\"ack}, title = {{A Modular Hybridization of Particle Swarm Optimization and Differential Evolution}}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference, {GECCO} 2020, Canc\'un, Mexico, July 8-12, 2020}, publisher = {{ACM}}, year = {2020}, url = {https://doi.org/10.1145/3321707.3321816}, doi = {doi.org/10.1145/3377929.3398123, }</code></pre> <p><strong>Data description:</strong> we benchmarked <strong>800 </strong>different<strong> </strong>hybridizations of the Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms on a well-known continuous black-box problem set called <a href="https://coco.gforge.inria.fr/">COCO/BBOB</a>, which consists of 24 test functions. 30 independent runs are conducted for each algorithm on each problem.</p> <ul> <li>'ERT.csv': a data frame with columns DIM (5D or 20D), funcId (F1-24), algId (algorithm names), target (<span class="math-tex">\(10^{\{-8,-7, \ldots, 1\}}\)</span>), ERT (expected running time), and sd (standard deviation).</li> <li>'raw-data.csv': the running time recorded in each independent run. </li> <li>'analysis.R': the R script that generates ERT tables in the paper.</li> <li>'ecdf.R': the R script that renders the ECDF (empirical cumulative distribution function) plots in the paper.</li> </ul>
ScienceDex guides
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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.