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3,225 results for “Case of study”
GOES-16 cloud-motion wind and ASCAT ocean surface wind data for the article "Evolution of an atmospheric Kármán vortex street from high-resolution satellite winds: Guadalupe Island case study"
<p>This repository contains GOES-16 cloud-motion winds and ASCAT ocean surface winds derived for and analysed in the article "Evolution of an atmospheric Kármán vortex street from high-resolution satellite winds: Guadalupe Island case study".</p> <p> </p> <p><strong>GOES-16 Local Cloud-Motion Vectors</strong></p> <p>Data in two ASCII text files: <em>raw5x5g16b2_2018d129_1437z_2232z_north.txt</em> and <em>raw5x5g16b2_2018d129_1437z_2232z_south.txt</em>, with the former containing data for the upper half and the latter for the lower half of the study domain between ~26<sup>o</sup>N and ~29.5<sup>o</sup>N. Both files include 96 records, each record corresponding to a specific 5-minute time interval between 14:37 UTC and 22:32 UTC on 9 May 2018—9 May is day of year 129. The start and end times are given at the beginning of each record in YYYYDDDHHMM format, where Y is year, D is day of year, H is hour, and M is minute. For example, the first record contains data between 14:37 UTC and 14:42 UTC, as indicated by the start and end times of 20181291437 and 20181291442. Then follows the four column headers LAT LON SPD DIR, corresponding to latitude (degree), longitude (degree), wind speed (m/s), and wind direction (meteorological convention, degree north), respectively—note that no cloud-top height/pressure value was calculated for the wind vectors. Each subsequent line is a single GOES-16 local cloud-motion vector, derived from 5x5-pixel band 2 (0.64 micron visible red band) image templates, which represent an area of ~2.5x2.5 km<sup>2</sup> at the subsatellite point.</p> <p> </p> <p><strong>MODIS–GOES-16 3D Cloud-Motion Vectors</strong></p> <p>Data in two netCDF files: <em>MOD.A2018129.1810-75_ABI_CONUS_band_02_goes16.nc</em> and <em>MYD.A2018129.2120-75_ABI_CONUS_band_02_goes16.nc</em>, which correspond to the MODIS Terra and MODIS Aqua overpasses, respectively. These joint MODIS–GOES-16 wind retrievals were derived using ~8x8 km<sup>2</sup> red band image templates sampled every 2 km. The data files are self-explanatory, but the variables "lat", "lon", "V_3D", and "H_3D" provide the latitude (degree), longitude (degree), the [east-west, north-south] wind components (m/s), and the geometric stereo height (m) for each wind retrieval.</p> <p> </p> <p><strong>ASCAT Ocean Surface Wind Vectors</strong></p> <p>Data in two netCDF files: <em>ascat_20180509_030000_metopa_59945_srv_o_063_ovw_new.nc</em> and <em>ascat_20180509_040000_metopb_29259_srv_o_063_ovw_new.nc</em>, which correspond to the MetOp-A and MetOp-B overpasses, respectively. These ASCAT ocean surface retrievals are stress-equivalent winds at 10 m height, given on a 6.25-km grid. The data files are self-explanatory, but the variables "lat", "lon", "wind_speed", and "wind_dir" provide the latitude (degree), longitude (degree), the wind speed (m/s), and the wind direction (oceanographic convention, degree north) for each wind retrieval. <em>Note that wind direction follows the oceanographic convention and refers to the direction towards which the wind blows (equivalent to meteorological wind direction minus 180<sup>o</sup>)!</em></p>
Dataset for the manuscript of the "Experimental investigation on the movability of water in shale nanopores:A case study of Carboniferous shale from the Qaidam Basin, China"
<p>Dataset for the manuscript of the "Experimental investigation on the movability of water in shale nanopores:A case study of Carboniferous shale from the Qaidam Basin, China"</p>
Atmospheric fields and simulated sub-milllimetre brightness temperatures for five case studies using the FAAM atmospheric research aircraft
<p>This dataset contains atmospheric fields, sensor positions and simulated sub-millimetre brightness temperatures for five cloudy case studies observed using the UK's BAe-146-301 (FAAM) atmospheric research aircraft.</p> <p>The 3-dimensional atmospheric fields are taken from the Met Office Unified Model and give the atmospheric state corresponding to the time of high-altitude aircraft runs. They consist of pressure, temperature, height, water vapour and hydrometeor mass concentrations and are provided in a format suitable for use with the ARTS radiative transfer model.</p> <p>The configurations required to run the ARTS radiative transfer model to simulate observations from the MARSS and ISMAR radiometers on board the aircraft are provided, as well as the output brightness temperatures using scattering properties for different ice particle habits from the ARTS database.</p>
Figure 3 from: Proćków J, Faltyn-Parzymska A, Jarzembowski P, Proćków M, Jakubska-Busse A (2020) How many type specimens can be stored in old lesser-known herbaria with turbulent histories? – A Juncus case study reveals their importance in taxonomy and biodiversity research. PhytoKeys 153: 85-110. https://doi.org/10.3897/phytokeys.153.50735
Figure 3 Collectors' names. Y-axis: number of herbarium labels analysed.
Case Studies Source Code + Traces
<p>The zip file contains the source code for the four open source systems that were considered in the empirical evaluation of the paper. </p> <p>4 folders will appear after unzipping the zip file, each folder consists of the source code of each program:</p> <p>Each folder contains a subfolder called "Traces" that contains the trace data of this study. You will find the Traces.json and TracesClasses.json within this "Traces" folder within each project.</p>
Dependability Benchmarking of soft-core processors at different levels of design representation: MC8051, AVR and Microblaze as a case study
<p>The dataset contains the results of fault injection experiments carried out for dependability benchmarking of three soft-core processors (MC8051, AVR, Microblaze) at three design representation levels:</p> <ol> <li>Register-transfer level (RTL) HDL model;</li> <li>Implementation-level HDL model (defined in the basis of Xilinx simprim library);</li> <li>Level of FPGA prototype (Xilinx Zynq XC7Z020);</li> </ol> <p>Fault injection experiments have been carried out by means of DAVOS toolkit (<a href="https://github.com/IlyaTuzov/DAVOS">https://github.com/IlyaTuzov/DAVOS</a>). </p> <p>Installation guide is attached (readme.pdf in the package root directory).</p> <p> </p>
Figure 3 from: Di Cecco V, Di Santo M, Di Musciano M, Manzi A, Di Cecco M, Ciaschetti G, Marcantonio G, Di Martino L (2020) The Majella National Park: a case study for the conservation of plant biodiversity in the Italian Apennines. Italian Botanist 10: 1-24. https://doi.org/10.3897/italianbotanist.10.52952
Figure 3 Plants of Iris marsica grown in the Majella National Park nursery).
Figure 2 from: Di Cecco V, Di Santo M, Di Musciano M, Manzi A, Di Cecco M, Ciaschetti G, Marcantonio G, Di Martino L (2020) The Majella National Park: a case study for the conservation of plant biodiversity in the Italian Apennines. Italian Botanist 10: 1-24. https://doi.org/10.3897/italianbotanist.10.52952
Figure 2 Number of species and subspecies per family stored in the Majella Seed Bank.
Figure 1 from: Di Cecco V, Di Santo M, Di Musciano M, Manzi A, Di Cecco M, Ciaschetti G, Marcantonio G, Di Martino L (2020) The Majella National Park: a case study for the conservation of plant biodiversity in the Italian Apennines. Italian Botanist 10: 1-24. https://doi.org/10.3897/italianbotanist.10.52952
Figure 1 Geographical position of the Majella National Park.
logfiles to accompany Managing Coronavirus Disease 2019 Spread With Voluntary Public Health Measures: Sweden as a Case Study for Pandemic Control
<p>Logfiles corresponding to public health interventions 1-5 as tested in Kamerlin and Kasson, 2020 are in logfiles_5day_bulk.tgz (corresponding to 5-day doubling time). Logfiles corresponding to the validation plots in the supplement are in valid_logfiles.tgz.</p> <p>Logfiles are provided as primary data. The parsed data in .mat form are available in a separate Zenodo repository referenced in the corresponding paper, cover the full set of voluntary public-health behaviors, and are anticipated to be more helpful in re-analysis.</p>
Domain-focused linked data crawling driven by a semantically defined frontier a cultural heritage case study in Europeana
<p>Supporting data referenced in the paper with the same title form ICADL 2020.</p>
Raw datasets for publication: The new Mountain Observatory of the Project "Optimizing Cloud Seeding by Advanced Remote Sensing and Land Cover Modification (OCAL)" in the United Arab Emirates: First results on Convection Initiation" - Case studies only (5 and 6 Sept 2018)
<p>Here are zip files containing the raw data sets collected from the Halo Doppler lidar and the Mira Doppler cloud radar from the OCAL Observatory, UAE, on the 5th and 6th September 2018. All RHI and PPI scans at all angles and all time steps from these days are included.</p>
Data from: Delimiting species in recent radiations with low levels of morphological divergence: a case study in Australian Gehyra geckos
Recent conceptual and methodological advances have increased the ability to apply multifaceted approaches to species delimitation, which is particularly useful in delimiting recently diversified species where single lines of evidence lead to incorrect species delimitation or assignment of individuals to species (e.g. cryptic, morphological species and paraphyletic, hybridizing species). Species of the Australian Gehyra gecko radiation have historically proven difficult to delimit due the group's uniform, almost continent-wide geographic distribution and conservative morphology, contrasting high chromosomal and genetic diversity. Using an integrated approach to species delimitation taking advantage of morphological, geographic distributional and multi-locus genetic data, we investigate the diversity within three Gehyra species from the Australian arid zone. Our results show that these species represent eight distinct phylogenetic lineages, which display different patterns of morphological distinction and reproductive isolation. Using a recently developed Bayesian species delimitation method, we also find different levels of support for putative species dependent on priors for population size and timing of diversification assumed. Our results show that the current taxonomy does not adequately account for the diversity of the group. Discrepancies between lines of evidence indicate that diversification of the group is recent and ongoing, thus posing challenges for both species concepts and delimitation.
Data from: Limitations of species delimitation based on phylogenetic analyses: a case study in the (Hypogymnia hypotrypa) group (Parmeliaceae, Ascomycota)
Delimiting species boundaries among closely related lineages often requires a range of independent data sets and analytical approaches. Similar to other organismal groups, robust species circumscriptions in fungi are increasingly investigated within an empirical framework. Here we attempt to delimit species boundaries in a closely related clade of lichen-forming fungi endemic to Asia, the Hypogymnia hypotrypa group (Parmeliaceae). In the current classification, the Hypogymnia hypotrypa group includes two species: H. hypotrypa and H. flavida, which are separated based on distinctive reproductive modes, the former producing soredia but absent in the latter. We reexamined the relationship between these two species using phenotypic characters and molecular sequence data (ITS, GPD, and MCM7 sequences) to address species boundaries in this group. In addition to morphological investigations, we used Bayesian clustering to identify potential genetic groups in the H. hypotrypa/H. flavida clade. We also used a variety of empirical, sequence-based species delimitation approaches, including: the "Automatic Barcode Gap Discovery" (ABGD), the Poisson tree process model (PTP), the General Mixed Yule Coalescent (GMYC), and the multispecies coalescent approach BPP. Different species delimitation scenarios were compared using Bayes factors delimitation analysis, in addition to comparisons of pairwise genetic distances, pairwise fixation indices (FST). The majority of the species delimitation analyses implemented in this study failed to support H. hypotrypa and H. flavida as distinct lineages, as did the Bayesian clustering analysis. However, strong support for the evolutionary independence of H. hypotrypa and H. flavida was inferred using BPP and further supported by Bayes factor delimitation. In spite of rigorous morphological comparisons and a wide range of sequence-based approaches to delimit species, species boundaries in the H. hypotrypa group remain uncertain. This study reveals the potential limitations of relying on distinct reproductive strategies as diagnostic taxonomic characters for Hypogymnia and also the challenges of using popular sequence-based species delimitation methods in groups with recent diversification histories.
Data from: The competition-dispersal trade-off exists in forbs but not in graminoids: a case study from multispecies alpine grassland communities
Much theoretical evidence has demonstrated that a trade-off between competitive and dispersal ability plays an important role in facilitating species coexistence. However, experimental evidence from natural communities is still rare. Here, we tested the competition-dispersal trade-off hypothesis in an alpine grassland in the Tianshan Mountains, Xinjiang, China, by quantifying competitive and dispersal ability using a combination of 4 plant traits (seed mass, ramet mass, height, and dispersal mode). Our results show that the competition-dispersal trade-off exists in the alpine grassland community and that this pattern was primarily demonstrated by forbs. The results suggest that most forb species are constrained to be either good competitors or good dispersers but not both, while there was no significant trade-off between competitive and dispersal ability for most graminoids. This might occur because graminoids undergo clonal reproduction, which allows them to find more benign microenvironments, forage for nutrients across a large area and store resources in clonal structures, and they are thus not strictly limited by the particular resources at our study site. To the best of our knowledge, this is the first time the CD trade-off has been tested for plants across the whole life cycle in a natural multispecies plant community, and more comprehensive studies are still needed to explore the underlying mechanisms and the linkage between the CD trade-off and community composition.
Data from: How do different aspects of biodiversity change through time? A case study on an Australian bird community
The study of ecological communities through time can reveal fundamental ecological processes and is key to understanding how natural and human pressures will affect biodiversity. Most studies of ecological communities through time consider only one or a few summary measures (e.g. species richness, total abundance), which might neglect important aspects of community structure or function. We studied temporal variation in several measures of species diversity, size diversity, and species composition in an intensively sampled bird community to determine whether different biodiversity measures change synchronously. We used a novel function regression model, which supports the study of diversity measures that are distributions (e.g. species abundance distributions) alongside measures that are scalar values (e.g. species richness). Most diversity measures changed predictably within years, but inter-annual changes in size diversity and species composition were not reflected in species diversity. Within and among years, there was considerable variation in distributional measures that was not captured in scalar measures. Predictable variation within years probably was related to seasonal variation in weather patterns or food availability, but variation in size diversity among years probably resulted from stochastic changes in species composition. These results suggest that species and size diversity may be decoupled, and that inferences on scalar diversity measures might not reflect fundamental changes to community structure or function. Our method supports the inclusion of size-based measures and distributional measures in ecological analyses, and broader uptake of our approach is likely to provide new insight into the processes structuring ecological communities, and inform the links between structure and function in ecological communities.
The dataset of article "Analysis of Uncertainties and Associated Convective Processes in Simulations of Extreme Precipitation over Cities with a Regional Earth System Model: A Case Study"
<p>The "out<i>EXP02.nc" and "out</i>EXP11.rar" are two examples of 11 simulations' output file in the article, in each of the file, 9 variables (horizontal wind u, horizontal wind v, vertical speed, height, temperature, pressure, precipitation, longitude and latitude) from outputs of simulation are included, the time interval is 2 hours.</p><p>The MERRA-2 dataset provides the initial and boundary conditions of chemical fields in simulations.</p><p>The era5 dataset provides the meteorological initial and boundary conditions in simulations.</p><p> </p>
Supplementary material to 'Automatic Identification of Hate Speech – A Case-Study of Alt-Right YouTube Videos'
<p>The associated files have been created for and is analysed in a fortcoming article entitled <em>Automatic Identification of Hate Speech – A Case-Study of Alt-Right YouTube Videos'. </em>The material is divided into six tables as follows:</p> <table> <tbody> <tr> <td>Sentence top 5%</td> <td>The 19th 20-quantile predicted most hateful sentences</td> </tr> <tr> <td>Sentence bottom 5%</td> <td>The bottom 20-quantile predicted moste hatefull sentences (the least likely to contain hatespeech)</td> </tr> <tr> <td>Paragraphs</td> <td>Prediction and annotation of paragraphs</td> </tr> <tr> <td>Video top 10%</td> <td>Titles of the top decile predicted hateful videos</td> </tr> <tr> <td>Video bottom 10%</td> <td>Titles of the bottom decile predicted hateful videos</td> </tr> <tr> <td>Video bottom 10% - Alt right</td> <td>Titles of the bottom decile predicted hateful videos without History</td> </tr> </tbody> </table> <p>The data is uploaded in two formats:</p> <p><strong>Excel file: </strong>Automatic_Detection_of_Hate_Speech_a_Case-Study_of_Alt-Right_Videos.xlsx contains all six tables in one file, with a supplementary <em>codebook. </em></p> <p><strong>Tab Separated Values (TSV):</strong> Each file correspond to a single sheet from the excel file, and are named accordingly. UTF-8 Encoded.<strong><br></strong></p>
RHESSys model output - Millennium Drought case study
<p>Dataset for teaching case study on Millennium Drought at Walshes Creek catchment. RHESSys model results for a range of relevant ecohydrologic variables at the daily timescale.</p>
The importance of integrating herbarium records into conservation plans: A case study on Honduran ferns and lycophytes
<p>Herbarium and management plan fern record data from Honduras. Submitted as supplemnteray material to Plants, People, Planet. </p>
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.