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3,225 results for “Case of study”
Validation of MUISCA for Blockchain Interoperability: A Case Study in a Healthcare Environment
<p>This repository contains the questions asked to the 31 experts who participated in the study “Validation of MUISCA for Blockchain Interoperability: A Case Study in a Healthcare Environment”. It also contains the spreadsheet with the recorded answers.</p>
ANIMA - Ljubljana Airport Case Study
<p>This dataset contains the results of two surveys, performed in Slovenia to gain the participants ’evaluation of workshops on“ Transparent noise management and community engagement in the Ljubljana airport area ”. Additional informations on these surveys may be found at <a href="https://www.nijz.si/anima">https://www.nijz.si/anima</a>.</p> <p>This evaluation has been supported by the NIJZ as part of the activities in the EU Horizon 2020 ANIMA Project. For more information about this case study and the results, <a href="https://doi.org/10.5281/zenodo.5604651">see the ANIMA project D2.11 deliverable</a>.</p> <p>More information on the ANIMA project can be found on the project website: <a href="https://anima-project.eu/">https://anima-project.eu/</a></p> <p><strong>For more information:</strong><br> Sara Rahne [ info@nijz.si ]</p>
ANIMA - Rotterdam The Hague Airport, Case Study 2021
<p>This dataset contains the results from the route evaluation that took place for Rotterdam The Hague Airport in 2021, in collaboration with the working group of the CRO to evaluate an alternative starting procedure for runway 06.</p> <p>This evaluation has been supported by the Royal NLR as part of the activities in the EU Horizon 2020 ANIMA Project. For more information about this case study and the results, <a href="https://doi.org/10.5281/zenodo.5604651">see the ANIMA project D2.11 deliverable</a>.</p> <p>More information on the ANIMA project can be found on the project website: <a href="https://anima-project.eu/">https://anima-project.eu/</a></p> <p><strong>Description of data</strong></p> <ul> <li>The PDF file is a presentation of the case study during the ANIMA Workshop in Vienna, Austria in June 2021. The presentation shows the locations that were measured. </li> <li>The spreadsheet contains the raw data and a translation to scoring per location by the participants. The test generated a score (Column A) that had to be reported. To prevent bias in ordering, some participants heard the original route first and then the alternative route or the other way around. This was translated to a version number in column 2. For each location, a annoyance score is reported between 1 (not annoying) and 7 (extremely annoying).</li> <li>Averages and SD are calculated in addition to this raw data. The scoring is translated into a interval between -3 and 3 that was used for reporting.</li> </ul> <p><strong>For more information:</strong><br> Roalt Aalmoes [ roalt.aalmoes (at) nlr.nlr ]<br> </p>
Do nest boxes breed the target species or its competitors? A case study of a critically endangered bird
<p>Nest boxes are widely used for habitat restoration. Unfortunately, competitors of the target species may exploit nest boxes, creating perverse outcomes. Avoiding habitats preferred by nontarget species, while favoring those of the target species, requires an adaptive management approach if limited information about species preferences is available when deploying boxes. Using nest boxes intended for Swift Parrots Lathamus discolor, we identify factors associated with nontarget species occupancy (Common Starling Sturnus vulgaris and Tree Martin Petrochelidon nigricans) in newly deployed boxes in 2016, and then again after 3 years had elapsed in 2019. Box occupancy by different species depended on the interaction between distance of individual boxes to the forest edge and year. Although the target species exploited similar numbers of nest boxes in both years, competitors were the main beneficiaries of established boxes. A subordinate native nest competitor increased box occupancy likelihood at greater distances from forest edges in both years, but the relationship was stronger in 2019. Introduced Common Starlings S. vulgaris were most likely to occupy boxes close to forest edges, but the magnitude of this relationship was much greater for established than newly deployed boxes. We suggest that permanent box deployments for Swift Parrots may produce perverse outcomes by increasing nesting habitat for Common Starlings. We suggest that for species that only use cavities for part of their life cycle, managers should limit access to boxes outside of critical times to reduce the likelihood that pest populations can exploit restoration efforts and create new problems.</p>
Data and scripts for Journal of Geophysical Research – Earth Surface publication: Identification of debris-flow channels using high-resolution topographic data: A case study in the Quebrada del Toro, NW Argentina
<p>This data source contains scripts and data associated with the JGR Earth Surface publication <strong>“Identification of debris-flow channels using high-resolution topographic data: A case study in the Quebrada del Toro, NW Argentina”</strong> by A. Mueting, B. Bookhagen, and M. R. Strecker. The Digital Elevation Model (DEM) of the lower part of the Quebrada del Toro and Río Capilla catchment in the NW Argentinian Andes was generated from SPOT-7 tri-stereo images using Ames Stereo Pipeline. The final dataset has a spatial resolution of 3 m. A full description of the DEM generation process and accuracy assessment can be found in the associated paper. The scripts are also available at https://github.com/UP-RS-ESP/DEM_ConnectedComponents.</p>
Genomic prediction in the wild: a case study in Soay sheep
<p>Genomic prediction, the technique whereby an individual's genetic component of their phenotype is estimated from its genome, has revolutionised animal and plant breeding and medical genetics. However, despite being first introduced nearly two decades ago, it has hardly been adopted by the evolutionary genetics community studying wild organisms. Here, genomic prediction is performed on eight traits in a wild population of Soay sheep. The population has been the focus of a >30 year evolutionary ecology study and there is already considerable understanding of the genetic architecture of the focal Mendelian and quantitative traits. We show that the accuracy of genomic prediction is high for all traits, but especially those with loci of large effect segregating. Five different methods are compared, and the two methods that can accommodate zero-effect and large-effect loci in the same model tend to perform best. If the accuracy of genomic prediction is similar in other wild populations, then there is a real opportunity for pedigree-free molecular quantitative genetics research to be enabled in many more wild populations; currently the literature is dominated by studies that have required decades of field data collection to generate sufficiently deep pedigrees. Finally, some of the potential applications of genomic prediction in wild populations are discussed.</p>
Quantifying research interests in 7,521 mammalian species with h-index: a case study (scopus output)
<p>Dataset of bibliometric data collected from Scopus for the manuscript 'Quantifying research interests in 7,521 mammalian species with h-index: a case study'.</p>
Influence of elevation on bioregionalisation: A case study of the Sino-Himalayan flora
<p><b>Aim: </b>Elevation is an important factor that influences bioregionalisation in mountainous areas, but its effects are not well known. Taking the Sino-Himalayan flora as a case, we aimed to test the effect of elevation on bioregionalisation and provide a regionalisation scheme of the Sino-Himalayan flora.</p> <p><span class="fontstyle0"><strong>Location:</strong> </span><span class="fontstyle2">The Sino-Himalaya (East Himalaya, the Hengduan Mountains and the Yunnan Plateau in China).</span></p> <p><b>Taxon: </b>Angiosperms.</p> <p><b>Methods: </b>We compiled distribution data and elevation ranges of angiosperms in the Sino-Himalaya and adjacent areas and reconstructed a species-level phylogenetic tree of 19,313 angiosperm species. The area was divided into 398 grid cells, each 1 × 1°. Nine datasets of different elevation ranges were then used to delineate the flora of the Sino-Himalaya and adjacent areas using the phylogenetic dissimilarity approach.</p> <p><b>Results: </b>A comparison of nine regionalisation schemes of the Sino-Himalayan flora based on different elevation range datasets revealed that more than half of grid cells were allocated to more than one subregion. Most of these grid cells were located in areas with a wide range of elevation and/or at the boundaries between subregions. After revising the subregion allocations of eight shifting grid cells, we generated a phylogeny- and elevation-based regionalisation scheme of three regions, comprising eight subregions, for the Sino-Himalayan flora.</p> <p><b>Main conclusions:</b> By integrating phylogenetic and elevational information, the Sino-Himalaya can be divided into three floristic regions: the Yunnan Plateau region, the Hengduan Mountains region, and the East Himalaya region. Our study provides novel insights into the regionalisation of the flora and highlights the importance of incorporating elevation data in the bioregionalisation of areas with a broad elevational range.</p>
Nordic comparative study on green space use during COVID-19 – Case Helsinki (NCS-Helsinki)
<p>This dataset includes the data used in the Helsinki case study of an original research paper “<em>Pandemic urban resilience in the Nordic context - a cross-city analysis on associations between outdoor recreation and green infrastructure</em>” (Fagerholm et al., upcoming).</p> <p>The data were collected in the PLAN-Health (PLAN-H) research project (<a href="https://participatorymapping.org/project/health-promoting-urban-environment-plan-h/">https://participatorymapping.org/project/health-promoting-urban-environment-plan-h/</a>) and include point data of respondent-mapped outdoor locations visited in leisure time.</p>
FIG. 13 in Bryozoan faunas at the Tortonian-Messinian transition. A palaeoenvironmental case study from Crete Island, eastern Mediterranean
FIG. 13. — Bathymetric reconstruction and correlations between sections.
Predicting Properties of Periodic Systems from Cluster Data: A Case Study of Liquid Water
<ul> <li> Description</li> </ul> <p>The 1520 water clusters were extracted from Ref. 1. The respective energies and atomic forces were recomputed at the revPBE-D3/def2-TZVP [2-6], B3LYP-D3/def2-TZVP [4-6, 7, 8], and BLYP-D3/def2-TZVP [4-6, 7, 9] level.</p> <ul> <li> Format</li> </ul> <p>The data is stored in python compressed array format (.npz) with the atomization energy in kcal/mol and atomic forces in kcal/mol/Ang. The data set contains five np.ndarray</p> <pre><code>import numpy as np data = np.load('revpbe.npz') data['R'] # Cartesian coordinates of nuclei in Ang. data['E'] # Total energy in kcal/mol data['F'] # Atomic forces in kcal/mol/Ang. data['N'] # Number of atoms in each structure data['Z'] # Nuclear charges</code></pre> <p>References</p> <ul> </ul> <p>[1] Molpeceres G., Zaverkin V., and Kästner J., “Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – I. adsorption and desorption,” Mon. Not. R. Astron. Soc. 499, 1373 (2020).</p> <p>[2] P. E. Blöchl, “Projector augmented-wave method,” Phys. Rev. B 50, 17953 (1994).</p> <p>[3] Y. Zhang and W. Yang, “Comment on “generalized gradient approximation made simple”,” Phys. Rev. Lett. 80, 890 (1998).</p> <p>[4] S. Grimme, J. Antony, S. Ehrlich, and H. Krieg, “A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu,” J. Chem. Phys. 132, 154104 (2010).</p> <p>[5] F. Weigend and R. Ahlrichs, “Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy,” Phys. Chem. Chem. Phys. 7, 3297 (2005).</p> <p>[6] F. Weigend, “Accurate Coulomb-fitting basis sets for H to Rn,” Phys. Chem. Chem. Phys. 8, 1057 (2006).</p> <p>[7] A. D. Becke, “Density-functional thermochemistry. iii. the role of exact exchange,” J. Chem. Phys. 98, 5648 (1993).</p> <p>[8] P. J. Stephens, F. J. Devlin, C. F. Chabalowski, and M. J. Frisch, “Ab initio calculation of vibrational absorption and circular dichroism spectra using density functional force fields,” J. Phys. Chem. 98, 11623 (1994).</p> <p>[9] C. Lee, W. Yang, and R. G. Parr, “Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density,” Phys. Rev. B 37, 785 (1988).</p>
Data from: Multi-image flock size estimation with CountEm: A case study with half a million Common Eiders and Greater Snow Geese.
<p>The present data set is related to the manuscript "Multi-image flock size estimation with CountEm: A case study with half a million Common Eiders and Greater Snow Geese" submitted to the Ecosphere journal.</p> <p>The files COEI_data.csv and GSGO_data.csv contain data and results of the 179 COEI and 99 GSGO ECA Flocks images respectively. The files have one row per image. Both files have 9 columns corresponding to the following variables:</p> <ul> <li> “Filenumber” is used to identify the number of the corresponding image, namely “001” to “099” for GSGO, and “001” to “179” for COEI.</li> <li> “N”: Total number of annotated birds in the image.</li> <li> “Nest”: Bird number estimation (bN 439 ) obtained with a single real mode CountEm run.</li> <li> “CE_sim”: Empirical coefficient of error (relative standard error, CEe(bN 440 )) obtained from 2000 simulated measurements in simulation mode.</li> <li> “f”: Sampling fraction used in the real mode CountEm run.</li> <li>“n0”: Initial number of quadrats used in the real mode CountEm run.</li> <li>“Q”: Total number of birds (i.e. sample size) counted in the real mode CountEm estimation.</li> <li> “n”: Number of non-empty quadrats counted in the real mode CountEm estimation.</li> <li> “UserTime”: Counting time (in minutes) in the real mode CountEm estimation.</li> <li> “ManualTime”: Counting time (in minutes) of the manual annotation process with ImageJ.</li> </ul>
Can at-risk species serve as effective conservation surrogates? Case study in northeastern US shrublands
<p>Targeted, single-species management and ecosystem-based management are generally considered disparate conservation approaches. In imperiled ecosystems, these approaches may be complementary, when habitat management for targeted at-risk species provides broad ecosystem benefits through an umbrella or surrogate species effect. In the northeastern United States, extensive management has been ongoing since 2011 to restore declining habitat for an at-risk shrubland habitat specialist, the New England cottontail (<i>Sylvilagus transitionalis</i>), with the goal that other shrubland-obligate wildlife will also benefit; yet the efficacy of these efforts has not been evaluated. In this study, we assessed whether habitat management targeting New England cottontail provides conservation benefits for shrubland-obligate birds. Specifically, we (1) identified shrubland-obligate birds that are indicative of the microhabitat conditions and habitat types suitable for New England cottontails, and (2) determined microhabitat and patch-level influences on shrubland bird occupancy at sites occupied by or managed for New England cottontail. Through avian point count surveys and indicator species analyses, we identified 12 shrubland-obligate bird species on patches occupied by New England cottontail and in microhabitat conditions suitable for New England cottontail. Occupancy models for five shrubland bird species further identified species-specific habitat associations. Generalized linear models showed that shrubland bird species richness was positively associated with herbaceous vegetation and low shrubs, indicating that shrublands managed for the purpose of cottontail colonization can also benefit a suite of shrubland birds before the habitat is dense enough to provide cover for cottontails. Our findings show that managing habitat for New England cottontail on a variety of site types can maintain a range of microhabitat conditions to support a high diversity of shrubland-obligate birds. These findings provide evidence for broad ecosystem benefits of managing for New England cottontail and exemplify the value of at-risk habitat specialists as conservation surrogates in imperiled ecosystems.</p>
The prediction data analyzed in the article: "An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018"
<p>The outputs of seasonal predictions with the Coupled Arctic Prediction System version 1 analyzed in the article, "An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018", including:</p> <p>Sea ice concentration (SIC)</p> <p>Sea ice thickness (SIT)</p> <p>Sea surface temperature (SST)</p> <p>Ice mass budget diagnostics</p> <p>Accumulated downward shortwave radiation at the surface (ASWDN)</p> <p>Accumulated downward longwave radiation at the surface (ALWDN)</p> <p>Near surface air temperature (T2) </p> <p>Temperature and salinity profile of the upper ocean under sea ice </p>
mCRL2 models, requirements and test logs for the EULYNX Point interface case study
<p>mCRL2 models and mu-calculus formulas for the EULYNX Point Interface. Models and requirements are made in the context of the FormaSig project. Data is made available for replication purposes.</p> <p>REQ_P_001, REQ_P_001_1 and REQ_P_002 are requirements for the point specific mCRL2 model point_spec.mcrl2</p> <p>Remaining .mcf files are requirements for the generic PDI interface pdi_spec.mcrl2</p> <p>Artifacts relating to testing are:</p> <ul> <li>An mCRL2 model, mbt.mcrl2</li> <li>A rename file to rename internal actions to tau, rename_file.re</li> <li>Partial state space associated to mbt.mcrl2, partial_state_space.aut</li> <li>The weak-trace bisim reduced version of the state space, partial_state_space_reduced.aut</li> <li>Testing logs, test-logs.zip</li> <li>The source code of the simulator and the testing tools, Simulator code.zip</li> </ul>
A case study of the dimensional effects in an additive manufacturing process with multiple operations
<p>This dataset provides a case study for the dimension changes of the prints in an additive manufacturing process with multiple operations. The operations are Stereolithography (SLA) printing and its two post-processing processes (washing and post-curing). The dataset contains the measured dimensions of the prints after each operation, which allows the modeling of each operation individually.<br> </p>
Dataset used in the study "Residential buildings real estate values linked to summer surface thermal anomaly patterns and urban features: the Florence (Italy) case study."
<p>This dataset repository includes eight raster layers (Reference System EPSG:3035 - ETRS89-extended / LAEA Europe), used in the study "Residential buildings real estate values linked to summer surface thermal anomaly patterns and urban features: the Florence (Italy) case study", and obtained by the adaptation of analyses carried out by previous studies (Morabito et al., 2021; Guerri et al., 2021; 2022).</p> <p>Further information regarding the source, study period, and horizontal resolution is available in the attached text file. </p> <p> </p> <p><strong><em>References</em></strong></p> <p>Guerri, G., Crisci, A., Congedo, L., Munafò, M., Morabito, M., <strong>2022</strong>. A functional seasonal thermal hot-spot classification: Focus on industrial sites. Science of The Total Environment 806, 151383.<a href="http://https://doi.org/10.1016/j.scitotenv.2021.151383"> https://doi.org/10.1016/j.scitotenv.2021.151383</a>.</p> <p>Guerri, G., Crisci, A., Messeri, A., Congedo, L., Munafò, M., Morabito, M., <strong>2021</strong>. Thermal Summer Diurnal Hot-Spot Analysis: The Role of Local Urban Features Layers. Remote Sensing 13, 538. <a href="https://doi.org/10.3390/rs13030538">https://doi.org/10.3390/rs13030538</a>.</p> <p>Morabito, M., Crisci, A., Guerri, G., Messeri, A., Congedo, L., Munafò, M., <strong>2021</strong>. Surface Urban Heat Islands in Italian Metropolitan Cities: Tree Cover and Impervious Surface Influences. Science of The Total Environment 751, 142334. <a href="https://doi.org/10.1016/j.scitotenv.2020.142334">https://doi.org/10.1016/j.scitotenv.2020.142334</a>.</p>
Improving estimations of life history parameters of small animals in mesocosm experiments: A case study on mosquitoes
<p>We used an experimental setup with 48 aquatic mesocosms, each with twenty first instar mosquito (<em>Culex pipiens</em>) larvae and under one of twelve treatments with varying temperatures and nutrient concentrations. We took daily subsamples of the aquatic life stages as well as counting the emerging adults. We developed a method to estimate the survival and development probabilities at each life stage, based on optimising a matrix population model. We used two different approaches, one calculating the difference between predictions and observations based on a normal distribution, and the other using a combination of a normal and a multinomial distribution. For each approach, the resulting optimisation problem had around 100 parameters, making conventional gradient descent ineffective with our limited number of data points. We solved this by computing the formal derivatives of our matrix model.</p>
Pulsed stress hypothesis revisited – A case study of Metopolophium dirhodum and spring wheat
<p>Life table data for the rose-grain aphid, Metopolophium dirhodum, reared on the spring wheat, Triticum sativum, under four regimes of water supply: 40C - continuous drought (40 SWC), 70C - well watered (70 SWC), 40-0, 40-1, 40-2 and 40-3 - pulsed stress timed for one week before aphids were established (40-0), during nymphal development (40-1), and during first (40-2) and second week of reproduction (40-3). </p>
Assimilation of NASA's Airborne Snow Observatory snow measurements for improved hydrological modeling: A case study enabled by the coupled LIS/WRF-Hydro system
<p>Data Analysis Scripts and Post-Processed Model Data for a case study using assimilation of ASO Snow Data into the NASA LIS/WRF-Hydro Model. </p> <p>Manuscript Citation:</p> <p>Lahmers T. M., S. V. Kumar, D. Rosen, A. L Dugger, D. Gochis, J. A. Santanello, C. Gangodagamage<sup>,</sup> and R. Dunlap,<strong> </strong>2020: Assimilation of NASA’s Airborne Snow Observatory snow measurements for improved hydrological modeling: A case study enabled by the coupled LIS/WRF-Hydro system,<em>Water Resour. Res.,</em></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.