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914 results for “filtered”
Supplemental Material to "Artificial Music Producer: Filtering Music Compositions by Artificial Taste"
<p>The paper can be found here: <a href="https://doi.org/10.5281/zenodo.7088395">doi.org/10.5281/zenodo.7088395</a></p>
Supplementary material 1 from: Ganas P, Fuhrmann M, Filter M (2021) A network model of the egg supply chain in Germany implemented as a FSKX compliant object. Food Modelling Journal 2: e74171. https://doi.org/10.3897/fmj.2.74171
ChickenEgg-SCNM
Figure 3 from: Ganas P, Fuhrmann M, Filter M (2021) A network model of the egg supply chain in Germany implemented as a FSKX compliant object. Food Modelling Journal 2: e74171. https://doi.org/10.3897/fmj.2.74171
Figure 3 Choropleth map for production of the product "Eggs" (quantity in tons per year) in Germany on NUTS-3 level created by the visualisation script of the attached FSKX model.
Figure 2 from: Ganas P, Fuhrmann M, Filter M (2021) A network model of the egg supply chain in Germany implemented as a FSKX compliant object. Food Modelling Journal 2: e74171. https://doi.org/10.3897/fmj.2.74171
Figure 2 Choropleth map for total consumption of the product "Eggs" (quantity in tons per year) in Germany on NUTS-3 level created by the visualisation script of the attached FSKX model .
Figure 1 from: Ganas P, Fuhrmann M, Filter M (2021) A network model of the egg supply chain in Germany implemented as a FSKX compliant object. Food Modelling Journal 2: e74171. https://doi.org/10.3897/fmj.2.74171
Figure 1 Simplified schematic representation of the food supply chain network in Germany illustrating actors (indicated by boxes) and transport processes (indicated by arrows) according to the dynamic freight flow model from Balster and Friedrich (2019). *Regarding Warehouse and Store: the respective 28 brands are implemented as aggregated and as individual actors in the "egg supply chain network model".
Deformation-rate distributed acoustic sensing: filtering and coupling considerations
<p class="MsoBodyText">Deformation-rate distributed acoustic sensing (DAS), made available by the unique designs of some interrogator units, can acquire seismic data that are equivalent to the along-fiber particle velocity motion recorded by geophones for scenarios involving (near-)elastic ground-fiber coupling. While near-elastic coupling is straightforward to achieve in cemented downhole installations, it is less clear how to do so in lower-cost horizontal fiber deployments. This investigation illustrates that near-elastic coupling can be achieved by installing and freezing in fiber in shallow backfilled trenches. Any existing residual unwanted signals can then be removed through 1D or our preferred 2D dip-velocity filtering approaches. The processed deformation-rate field records acquired at the surface and two different trenching depths show clear surface- and refracted-wave arrivals; however, the surface-deployed fiber records exhibit significant time-lapse amplitude variations corresponding variable ground-fiber coupling due to air-temperature fluctuations about 0ºC. These results indicate that ground freezing provides improved but more complex fiber coupling.</p>
Extreme droughts in oligotrophic mountain grasslands cause substantial species abundance changes and amplify community filtering
<p>Questions<br> Mountain grasslands can be strongly affected by extreme droughts such as those related to climate change. What are the impacts of extreme droughts on community composition, diversity, Ellenberg indicator scores and species groups in oligotrophic montane Nardus grasslands, and what are the associated mechanisms of vegetation change?<br> Location<br> Rhön Mountains, Germany<br> Methods<br> In three consecutive years, we investigated the effects of yearly droughts (April-August) in an experimental setup with rainout shelters. Due to the coincidence of ambient extreme dry conditions in those years and our artificial rainfall reduction, we evaluated the contribution to community change of ambient drought conditions and the treatments. We analysed community composition changes by applying redundancy analysis to species differences in comparison with the pre-treatment year, and used mixed-effects models to test for changes in community-weighted means of Ellenberg indicator scores, sociological, and functional groups.<br> Results<br> We found significant changes in species abundances and community structures in response to drought. Evenness increased, but species richness remained rather stable over time. Ellenberg indicator scores for temperature and nitrogen increased, while the score for moisture decreased. Simultaneously, dominant species declined and subdominants increased. Changes occurred with a time lag and were largely driven by the high ambient drought level and less by the artificial treatments.<br> Conclusions<br> Our results show that drought-related community composition changes in Nardus grasslands occur across community structures, characteristic species, and species groups. The post-drought recovery of the community is shaped by community filters, which particularly allow subdominants to take advantage of newly available niches in the matrix, even if they lack strong drought tolerance. Our findings indicate a certain resilience of the community to climate-change-related droughts, which suggests that the observed changes should not lead to an accelerated short-term decline of these grasslands, but that this cannot be excluded in the long term.<br> </p>
Final filtered loci dataset for Rostroraja eglanteria
<p>Skates are benthic elasmobranchs that are highly vulnerable to incidental fishery bycatch, are discarded at sea, and are poorly accounted for in catch records. Many aspects of skate life history, such as population structure, are not well understood. Without this knowledge, their continued indiscriminate harvest may have deleterious effects on scientific, conservation, and management efforts. The Clearnose Skate (<i>Rostroraja eglanteria</i>) is seasonally migratory and widely distributed in the coastal waters of the eastern United States and in the northeastern Gulf of Mexico. This study used molecular techniques to assess the population structure of Clearnose Skate so that it may serve as a valuable biological reference point for further research and management. Specimens were collected from 2014 to 2019 by fisheries-independent surveys, and examined on broad and small geographic scales. High-throughput genotyping-by-sequencing was used to identify single nucleotide polymorphisms (SNPs), resulting in two datasets; one consisting of 8,914 loci (outlier and neutral) and the other comprised of 30 outlier loci. Results from all analyses and using both datasets indicated large and significant genetic differences between specimens from the Gulf of Mexico and specimens from the U.S East Coast. Using the outlier dataset, small but significant differences were also found among specimens from the U.S. East Coast with a subtle break near the North Carolina and South Carolina border<sub>. </sub>These genetic differences were spatially autocorrelated, indicating a genetic gradient consistent with an isolation-by-distance model. The genetic differentiation between the Gulf of Mexico and the U.S. East Coast is likely due to the physical barriers such as Florida and the Gulf Stream current, while the subtle structure along the U.S. East Coast is likely due to recent isolation caused by reduced dispersal and local temperature preferences.</p>
Static Code Analysis Alarms Filtering Reloaded: an ML Approach and its Empirical Evaluation on a New Real-World Dataset
<p>This is a replication data package for a paper titled "<em>Static Code Analysis Alarms Filtering Reloaded: an ML Approach and its Empirical Evaluation on a New Real-World Dataset</em>".</p> <p>Paper abstract: Even though Static Code Analysis (SCA) tools are integrated into many modern software building and testing pipelines, their practical impact is still seriously hindered by the excessive number of false positive warnings they usually produce. To cope with this problem, researchers have proposed several post-processing methods that aim to filter out false hits (or equivalently identify ``actionable'' warnings) after the SCA tool produced its results. However, we found that most of these approaches are targeted (i.e., deal with only a few SCA warning types) and evaluated on synthetic benchmarks or small-scale manually collected data sets (i.e., with typical sample sizes of several hundred).</p> <p>In this paper, we present a code embedding-based approach for filtering false positive warnings produced by 160 different SonarQube rule checks, one of the most widely adopted SCA tools today. We evaluate the method on a dataset containing 224,484 real-world warning samples fixed (true positive samples) or ignored (false positive samples) by the developers, which we collected from 9,958 different open-source Java projects from GitHub using a data mining approach. It is the most extensive real-world study and public dataset we know of in this area. Our method works with an accuracy of 91% (best F1-score of 81.3% and AUC of 95.3%) for the classification of SonarQube warnings.</p>
Figure 2 from: Scaccia N, Günther T, Lopez de Abechuco E, Filter M (2021) The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community. Research Ideas and Outcomes 7: e70183. https://doi.org/10.3897/rio.7.e70183
Figure 2 A, a screenshot of the GWS KNIME workflow. There are 5 steps within the data processing workflow, which are described in the text. The first and the last green boxes of the workflow, designed with KNIME WebPortal extension, contain so-called "Components" that provide a workflow-specific web user interface that can also be triggered by the KNIME Server. In this way, the GWS KNIME workflow becomes available as a fully functional web service in the KNIME WebPortal. B, a screenshot of the KNIME's Text Processing extension nodes wrapped up into a metanode.
Figure 1 from: Scaccia N, Günther T, Lopez de Abechuco E, Filter M (2021) The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community. Research Ideas and Outcomes 7: e70183. https://doi.org/10.3897/rio.7.e70183
Figure 1 A, a screenshot of the GWS start page. B and C, output sections of the service. Specifically, B, number of exact terms and associated definitions found and, a tag cloud outcome; C, downloadable table of identified terms and definitions with term frequency, sector classification and reference. Through the GWS, end-users can upload their own file (2, A) and select which of the supported glossary(ies) should be searched through (1, A). Clicking "Next" (3, A), the GWS displays the results in an interactive table within the dashboard providing also the number of occurrences for each term in the user's document next to the identified definitions (4, B) and the tag cloud (5, B). The different colours for the terms in the tag cloud refer to different types of matches: exact matches in green, inexact matches in yellow and non-matching terms in grey. Afterwards, scrolling down the dashboard view (image C), the user has the possibility to download directly different tables (6, C) in Excel format. These options are: i) download the table with all the matches found, ii) download the exact-matches table or iii) download the inexact-matches table (6, C). Furthermore, if only a few terms with appropriate definitions are needed, the end-user can download those specific terms checking the corresponding checkboxes (7, C) and then clicking "Next" at the bottom of the dashboard page (8, C).
Tipping the balance: the role of seed density, abiotic filters, and priority effects in seed-based wetland restoration
<p class="MsoNormal"><a name="_Hlk98319335"></a>Sowing native seeds is a common approach to reintroduce native plants to degraded systems. However, this method is often overlooked in wetland restoration despite the immense global loss of diverse native wetland vegetation. Developing guiding principles for seed-based wetland restoration is critical to maximize native plant recovery, particularly in previously invaded wetlands. Doing so requires a comprehensive understanding of how restoration manipulations, and their interactions, influence wetland plant community assembly. With a focus on the invader <em>Phragmites australis, </em>we established a series of mesocosm experiments to assess how native sowing density, invader propagule pressure, abiotic filters (water and nutrients), and native sowing timing (i.e., priority effects) interact to influence plant community cover and biomass in wetland habitats. Increasing the density of native seeds yielded higher native cover and biomass, but <em>P. australis</em> suppression with increasing sowing densities was minimal. Rather, community outcomes were largely driven by invader propagule pressure—<em>Phragmites australis</em> densities of <span><span>≤ 500 seeds/m<sup>2</sup> maintained high native cover and biomass. Low-water conditions increased the susceptibility of <em>P. australis</em> to native competition. </span>Early sowing of native seeds showed a large and significant benefit to native cover and biomass, regardless of native sowing density, suggesting that priority effects can be an effective restoration manipulation to enhance native plant establishment.<em> </em></span><span><span>Given the urgent wetland restoration need combined with the limited studies on seed-based wetland restoration, these findings provide guidance on restoration manipulations that are grounded in ecological theory to improve seed-based wetland restoration outcomes.</span></span></p>
Filtered data from "A first look at sea-lavenders genomics – can genome wide SNP information tip the scales of controversy in the Limonium vulgare species complex?"
Filtered data from "A first look at sea-lavenders genomics – can genome wide SNP information tip the scales of controversy in the Limonium vulgare species complex?" Limonium_species.tar.xz <p>Inside this file you will find all required data and metadata to reproduce the analysis using the environment from <a href="https://gitlab.com/StuntsPT/Limonium_GBS_data_analyses">this gitlab repository</a>. This inlcues both a <code>VCF</code> file for SNP data and a <code>Phylip</code> file for phylogenetic analyses. This is the datset "species" from the paper.</p> Limonium_lvu_lma.tar.xz <p>Inside this file you will find all required data and metadata to reproduce the analysis using the environment from <a href="https://gitlab.com/StuntsPT/Limonium_GBS_data_analyses">this gitlab repository</a>. This inlcues both a <code>VCF</code> file for SNP data and a <code>Phylip</code> file for phylogenetic analyses. This is the dataset "lvu_lma" from the paper.</p>
UVPCasts-Zooplankton-Brazil-Ecotaxa-Uvp5_sn200_ilhas_2017_filtered_vignettes
<p>Zooplankton abundance dataset from UVP casts performed in the Atlantic Ocean.</p>
Filtered survey data for: AOS professional ethics committee
<p>In response to a growing need to foster ethical behavior within scientific societies, the American Ornithological Society's (AOS) professional ethics committee conduct a survey of members in spring 2021 to identify the primary challenges and ethical conduct concerns. The survey indicated that the AOS has a strong culture of professional ethics and highlighted areas needing improvement. Participants identified discrimination and lack of inclusivity (44%), scientific fraud and abuse in data and publications (35%), and sexual harassment (31%) as the highest potential risks for unethical behavior in our organization. Moreover, approximately one-third of respondents (34%) had personally witnessed or experienced unethical behavior as an AOS member. A smaller proportion (16%) felt pressure to compromise their work standards in ornithology. These findings are likely representative of broader patterns that professional, scientific societies face as they seek to provide safe, welcoming, and thoughtful environments for researchers to share their work, gain valuable feedback, and develop collaborations. The survey results also create a framework for workshops, training opportunities, and disseminating information within the AOS and, ideally, with the broader, international community of ornithologists.</p>
Figure 1 from: Wicksten M, De Grave S, France S, Kelley C (2017) Presumed filter-feeding in a deep-sea benthic shrimp (Decapoda, Caridea, Stylodactylidae), with records of the deepest occurrence of carideans. ZooKeys 646: 17-23. https://doi.org/10.3897/zookeys.646.10969
Figure 1 - Bathystylodactylus cf. bathyalis, 4826 m, in situ. Photo extracted from high-definition video captured using ROV Deep Discoverer. (Image courtesy of the NOAA Office of Ocean Exploration and Research 2016 Deepwater Exploration of the Marianas).
Water-filtered Iinfrared A irradiation exerts antifungal effects on the skin fungus Malassezia
<p>Raw dataset linked to <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jphotobiol.2024.112909" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.jphotobiol.2024.112909</span></a></p>
Data for Streaming prediction-error filters
Open the record for dataset details and reuse information.
Atomistic mechanism of long-range coupling from the cytosolic sensor domain to the selectivity filter in TREK K2P channels
Open the record for dataset details and reuse information.
Leaf: an ultrafast filter for population-scale long-read SV detection: dataset 2
<p>Simulated PacBio Simuluated ONT reads for assessment</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.