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914 results for “filter”
Multicomponent ocean-bottom seismic data decomposition using separate calibration filters
<p>All relevant pictures in the article</p>
Cutting Plane Selection with Analytic Centers and Multiregression - Density Filtering Plots
<p>This repository contains the detailed plots for the density filtering experiments of the paper "Cutting Plane Selection with Analytic Centers and Multiregression".<br> The data were generated by the experiments available on the associated [repository](https://github.com/Opt-Mucca/Analytic-Center-Cut-Selection).</p> <p>In the following naming conventions, `X` stands for density filtering at X%.<br> The plots `root_direct_filter_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance-seed pair.<br> The plots `root_avg_filter_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance with all seeds averaged with a geometric mean.<br> The plots `root_mindev_filter_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance with the minimum deviation between the baseline and filtered method.</p> <p>In the following naming conventions, `Y` stands for the quantity of interest including:<br> - `lp_iterations`: number of LP iterations to solve the problem (only when solved to optimality)<br> - `node`: number of nodes taken to solve the problem (only when solved to optimality)<br> - `time`: time taken to solve the problem<br> - `node_throughput`: number of nodes processed per second<br> - `lpiter_throughput`: number of LP iterations performed per second</p> <p>The plots `tree_direct_filter_Y_rel_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance-seed pair.<br> The plots `tree_agg_filter_Y_rel_X.pdf` show the relative primal-dual difference at the end of the separation at the root node for each instance with seeds aggregated with a geometric mean.</p> <p> </p>
Data-driven gap filling and spatio-temporal filtering of the GRACE and GRACE-FO records
<p>Gravity Recovery And Climate Experiment and Follow On (GRACE/-FO) global monthly measurements of Earth's gravity field have led to significant advances in quantifying mass transfer. However, a significant temporal gap between missions hinders evaluating long-term mass variations. Moreover, instrumental and processing errors translate into large non-physical North-South stripes polluting geophysical signals. We use Multichannel Singular Spectrum Analysis (M-SSA) to overcome both issues by exploiting spatio-temporal information of Level-2 GRACE/-FO solutions, filtered using the DDK7 decorrelation and a new complementary filter, built based on the residual noise between fully processed data and a parametric fit to observations. Using an iterative M-SSA on Equivalent Water Height (EWH) time series processed by CSR, GFZ, GRAZ, and JPL, we replace missing data and outliers to obtain a combined evenly sampled solution. Then, we apply M-SSA to retrieve common signals between each EWH time series and its same-latitude neighbours to further reduce residual spatially uncorrelated noise. Comparing GRACE/-FO M-SSA solution with SLR and SWARM low-degree Earth’s gravity field and hydrological model demonstrates its ability to satisfyingly fill missing observations. Our solution achieves a noise level comparable to mass concentration (mascon) solutions over oceans (3.2 mm EWH), without requiring \textit{a priori} information nor regularisation. While short-wavelength signals are challenging to capture using highly filtered spherical harmonics or mascons solutions, we show that our technique efficiently recovers localized mass variations using well-documented mass transfers associated with reservoir impoundments.</p>
Supplementary material 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
The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community
Dataset for: An optimised organic carbon / elemental carbon (OC/EC) fraction separation method for radiocarbon source apportionment applied to low-loaded Arctic aerosol filters
<p>Dataset contains raw data and R scripts to create the figures.</p>
Anonymized data for paper "RepeatNPR: Improving Neural Program Repair using Program Dependence Analysis and Filter Mechanism" submitted to ICSE 2024
<p>The project includes the dataset and source code used in the submitted ICSE 2024 paper titled "RepeatNPR: Improving Neural Program Repair using Program Dependence Analysis and Filter Mechanism"</p>
Fundamental niche narrows through larval stages of a filter-feeding marine invertebrate
<p>Ontogenetic niche theory predicts that resource use should change across complex life histories. To date, studies of ontogenetic shifts in food niches have mainly focused on a few systems (e.g. fish), with less attention on organisms with filter-feeding larval stages (e.g. marine invertebrates). Recent studies suggest that filter-feeding organisms can select specific particles, but our understanding of whether niche theory applies to this group is limited. We characterised the fundamental niche (i.e. feeding proficiency) by examining how niche breadth changes across the larval stages of the filter-feeding marine polychaete <em>Galeolaria</em> <em>caespitosa</em>. Using a no-choice experimental design, we measured feeding rates of trochophore, intermediate-stage and metatrochophore larvae on the prey phytoplankton species: <em>Nannochloropsis</em> <em>oculata</em>, <em>Tisochrysis</em> <em>lutea</em>, <em>Dunaliella</em> <em>tertiolecta</em> and <em>Rhodomonas</em> <em>salina</em>, that vary 10-fold in size, from the smallest to the largest. We formally estimated Levins' niche breadth index to determine the relative proportions of each species in the diet of the three larval stages and also tested how feeding rates vary with algal species and stage. We found that early stages eat all four algal species in roughly equal proportions, but niche breadth narrows during ontogeny, such that metatrochophores are feeding specialists relative to early stages. We also found that feeding rates differed across phytoplankton species—the medium-sized cells (<em>Tisochrysis</em> and <em>Dunaliella</em>) were eaten most, and the smallest species (<em>Nannochloropsis</em>) was eaten the least. Our results demonstrate that ontogenetic niche theory describes changes in fundamental niche in filter feeders—an important next step is to test whether the realized niche (i.e. preference) changes during the larval phase as well.</p>
Data for: Environmental filtering drives biodiversity‒spatial stability relationships in a large temperate forest region
<ol> <li>The assumption that greater biodiversity enhances ecosystem stability, commonly known as "portfolio effect", has attracted considerable research attention. However, the potential portfolio effects on spatial stability (the similarity of ecosystem functioning among forest communities) are still poorly examined especially at different spatial scales and under varying environmental stress conditions. Accordingly, this study investigates the biodiversity-spatial stability relationship among regional communities across different spatial scales and environmental conditions in a temperate forest region.</li> <li>We define spatial stability as the invariability of the productivity of woody plants among plots within a regional community. To test spatial stability, the N closest plots to a given plot were aggregated to form regional communities representing different spatial scales. Structural equation modeling was used to evaluate how biodiversity (including taxonomic (TD) and phylogenetic diversity (PD)) increases spatial stability via species asynchrony and/or population stability across spatial scales. Hierarchical Bayesian modeling was used to evaluate the environmental dependence of the portfolio effects on spatial stability.</li> <li>TD and PD both increased spatial stability by increasing asynchrony, but decreased population stability. The portfolio effect of TD on spatial stability became stronger and reached saturation at the intermediate scale and then decreased as regional communities became larger. The portfolio effects of TD were weaker under the stressful conditions of drought, high precipitation seasonality and high elevation but unchanged across temperature seasonality and human disturbance. PD showed no discernable effect on spatial stability and did not change across spatial scale and environmental condition.</li> <li>Our results suggest that the positive effect of biodiversity on species asynchrony overcomes the negative biodiversity effect on population stability to buffer the spatial change in productivity in diverse communities. Future research on the biodiversity–spatial stability relationship may thus benefit from incorporating different spatial scales and environmental conditions into the analysis. </li> </ol>
A complete list of filtered variants and gene lists of frequently and recurrently mutated genes in 25 MCL patients at diagnosis compared to relapse, as well as a CNV genelist
<p>Supplemental Table 1 shows a complete list of variants which passed filtering described in supplemental methods, that were found in both diagnostic samples and relapsed samples (i.e., shared variants, sheet 1A), variants that were newly detected – N/D (sheet 1B) or newly undetected – N/U (sheet 1C). Gene lists for filtration of variants and CNV changes in genes of special interest are included in the table (sheet 1D). Chr - Chromosome, REF - Reference allele, ALT - Alternative allele, AA change - Amino acid change, DG_AF – Variant Allele frequency in the diagnostic sample, DG_Depth - Read depth in the diagnostic sample, REL_AF - Variant Allele frequency in the relapsed sample, REL_Depth - Read depth in the relapsed sample, SNV - Single Nucleotide Variant, and CNV - Copy Number Variation. </p>
Data accompanying the article "Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020"
<p>The .zip file contains temporal-spatial averaged metrics for evaluating simulations against observed ice thickness, concentration, volume, and drift. These quantities are presented in the manuscript "Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020"</p> <p>Subfolders are named by the experiment IDs, including metrics obtained from the relevant experimental results and observations.</p> <p>In case information is missing, do not hesitate to contact chengsukun@hotmail.com</p> <p>We thank Pavel Sakov for helpful discussions and improvement regarding the EnKF-C code and Jiping Xie for contributing the TOPAZ interface to sea ice observations. We are grateful for the support from Timothy Williams and Anton Korosov regarding the environments of neXtSIM and its analysis tools. The work is funded by the DASIM-II grant from ONR (grant nos. N00014-18-1-2493 and N00014-18-1-2204). Alberto Carrassi, Christopher K. R. T. Jones, Ali Aydo ̆gdu, and Pierre Rampal acknowledge the support of the project SASIP funded by Schmidt Futures – a philanthropic initiative that seeks to improve societal outcomes through the development of emerging science and technologies. Sukun Cheng and Laurent Bertino were co-funded by the FOCUS project from the Research Council of Norway (grant no. 301450), and Alberto Carrassi and Yumeng Chen are also supported by the UK National Centre for Earth Observation (grant no. NCEO02004). Computations were carried out on the Norwegian Supercomputing InfrastructureSigma2 (grants nn2993k for computing and NS2993K for data storage)</p>
Random Filter Mappings as Optimization Problem Feature Extractors
<p>Artifacts produced as part of the paper Random Filter Mappings as Optimization Problem Feature Extractors</p>
Data for taxon-dependent effects of dispersal limitation versus environmental filters on bryophyte assemblages―Multiple perspective studies in land-bridge islands
<p><strong><span>Aim</span></strong><span>: To explore the taxon-dependent contribution of dispersal limitation vs. environmental filters to bryophyte assemblages.</span></p> <p><strong><span>Location</span></strong><span>: The Thousand Island Lake, China </span></p> <p><strong><span>Taxon</span></strong><span>: Bryophytes</span></p> <p><strong><span>Methods</span></strong><span>: We compared the observed beta diversity with the expected values based on six null models (EE, EF, FE, FF, PE, PF) and detected the partial correlation of beta diversity with geographical distances. We quantified the contributions of spatial vs. environmental variables, and island isolation per se to species composition (SC) by using variance partitioning. We modeled the species-area relationships (SARs) for bryophytes and other eight biotas. To explore the taxon-dependent effects of spatial vs. environmental filters on bryophytes, sixteen taxa including five categories (total bryophytes, total mosses, liverworts, acrocarpous and pleurocarpous mosses) and eleven species-richest families were included in the analyses.</span></p> <p><strong><span>Results</span></strong><span>: The observed beta diversity values were significantly different from the predicted values based on the six null models for all 16 taxa. For all five categories, the observed partial correlations between beta diversity and geographical distance after controlling environmental effects were not only positive but also significantly different from the predicted values based on the null models. Spatial eigenvectors are more important in shaping SC than environmental variables for all 16 taxa except Brachytheciaceae and Anomodontaceae. Spatial eigenvectors contributed more to SC variation in liverworts than in mosses, and in pleurocarpous mosses than in acrocarpous mosses. The effects of island isolation on SC were significant for all five categories and varied </span><span>highly </span><span>at the family level. The z-values of the SARs for the five bryophyte categories were all larger than those of the other eight biotas.</span></p> <p><span><strong>Main</strong> <strong>conclusions</strong></span><span>: In subtropical fragmented forests, dispersal limitation exerted significant, taxon-dependent effects on bryophyte assemblages. It was dispersal limitation rather than environmental filtering that predominantly regulated SC patterns of bryophytes. </span></p>
Fig. 4. Adult male L in Filter feeding in the mysid crustacean Limnomysis benedeni: Evidence of the maxillary pump and the ventral filtration current
Fig. 4. Adult male L. benedeni fed with pre-filtered (<7 μm) green fluorescent particles (blue illumination, dorsal view). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Filter feeding in the mysid crustacean Limnomysis benedeni: Evidence of the maxillary pump and the ventral filtration current
Fig. 3. Frames from the footages of filter feeding L. benedeni (available as Additional files 1–8). A: adult male stirring up deposited particles, B: adult male on the bottom, C: adult female on the side wall, D: adult male leaning on the side wall, E: adult male leaning on the side wall, F: the same as in Fig. 3E in blue illumination, G: adult female on the side wall (close-up), H: adult male leaning on the side wall (close-up). Abbreviations: T-EX thoracic exopods, T1-EP epipod of the first thoracopod, T1 first thoracopod (maxilliped), T2 second thoracopod, MX maxilla, MD mandibula, O oostegite. Green arrows indicate currents; red arrows indicate movements of body parts (only the most noteworthy actions are indicated). The horizontal lines in Fig. 3C and G are notches on a plexi plate positioned next to the side wall the animals can hold on to. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Filter feeding in the mysid crustacean Limnomysis benedeni: Evidence of the maxillary pump and the ventral filtration current
Fig. 1. Detached right side limbs of L. benedeni (adult male, body length: 8.5 mm) from the ventral viewpoint. A: maxilla, B: first thoracic endopod and protopod, C: second thoracic endopod with the medial part of the basis, D: third thoracic endopod. Abbreviations: ex exopod, en endopod, be basal endites, ce coxal endite, fs filtering setae, pl proximal lobe. The scales are the same for all four pictures.
Microwave Filter Design Kit
<p>This is a small toolkit for developing and analysing Filters for low as well mmWave frequency applications. The simple design and GUI require minimum effort to develop the desired filter. Furthermore, various implementation options are available for mmWave filters and the response of all these implementations is readily available through Scattering parameters.</p>
Publications and filtering decisions for the systematic literature review in "Towards a Common Definition of Open Data Intermediaries"
<p>This file contains the list of publications and filtering decisions of the systematic literature review conducted for the article "Towards a common definition of open data intermediaries" published in the Digital Government: Research and Practice (DGOV) journal (https://doi.org/10.1145/3585537). The literature search was done on 1 June 2022 and there was no start date set (i.e. all relevant literature up to 1 June 2022 was included).</p> <p>There are 4 documents in this folder (apart from README text describing the data in each document):</p> <ol> <li>Stage-0 Search results</li> <li>Stage-1 Remove redundant</li> <li>Stage-2 Remove irrelevant</li> <li>Stage-3 Final filtering</li> </ol> <p>The authors acknowledge the financial support from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 955569, "Towards a sustainable Open Data ECOsystem" (ODECO).</p>
Data from: Environmental filtering of life-history trait diversity in urban populations of Arabidopsis thaliana
<p>The challenges to which plants are exposed in urban environments represent, in miniature, the challenges plants face as a result of global environmental change. Hence, urban habitats provide a unique opportunity to assess whether processes of local adaptation are taking place despite the short temporal and geographical scales that characterize the Anthropocene. We quantified the ecological diversity of urban habitats hosting A. thaliana populations. Using plant community indicators, we show that these patches differ in their levels of soil nutrient content and disturbance. Accordingly, plants in each patch displayed a range of flowering time, size and fitness. Using a deep sampling approach coupled with reduced genome-sequencing, we demonstrate that most individuals can be assigned to a limited set of clonal lineages; the genetic diversity of these lineages is a sample of the diversity observed in western European populations of the species, indicating that established urban populations originate from a broad regional pool of lineages. We assessed the genetic and phenotypic diversity of these lineages in a set of common garden experiments. We report marked genetic differences in life-history traits, including time of primary and secondary dormancy as well as of flowering. These genetic differences in life-history traits are not randomly distributed but sorted out by ecological differences among sites of origin.</p> <p>Synthesis: Our study shows that the genetically diverse phenology of a regional A. thaliana gene pool is not randomly distributed but filtered by heterogeneity in the urban environment. To out knowledge, this report is the first to show a pattern indicative of environmental filtering enhancing local genetic adaptation within urban environments. We conclude that environmental filtering helps maintain functional diversity within species.</p>
Evaluation of Complication Rates Using Filter vs. Centrifuge and Heparin vs. Citrate Anticoagulation
ClinicalTrials.gov study NCT04351438. IPD Sharing: NO. Countries: 1. Publications: 8.
Clearance of Inflammatory Cytokines During Renal Replacement Therapy Using the EMIC®2 Filter
ClinicalTrials.gov study NCT03231748. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.