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914 results for “filtered”
Figure 5 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 5 - Male genitalia of Drusus discolor. A left lateral view B paramere, lateral view C caudal view D dorsal view E ventral view. Scale bar denotes 1 mm. Del. Vitecek.
Figure 4 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 4 - Male genitalia of Drusus chrysotus. A left lateral view B paramere, lateral view C caudal view D dorsal view E ventral view. Scale bar denotes 1 mm. Del. Vitecek.
Figure 2 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 2 - Male genitalia of Drusus malickyi sp. n. A left lateral view B paramere, lateral view C caudal view D dorsal view E ventral view. Scale bar denotes 1 mm. Del. Vitecek.
Figure 8 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 8 - Male genitalia of Drusus muelleri. A left lateral view B paramere, lateral view C caudal view D dorsal view E ventral view. Scale bar denotes 1 mm. Del. Vitecek.
Figure 10 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 10 - Male genitalia of Drusus siveci. A left lateral view B paramere, lateral view C caudal view D dorsal view E ventral view. Scale bar denotes 1 mm. Del. Vitecek.
Figure 1 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 1 - Male genitalia of Drusus krpachi sp. n. A left lateral view B paramere, dorsal view C caudal view D dorsal view E ventral view. Abbreviations: tVIII tergite VIII, IX segment IX, sup superior appendage, int intermediate appendage, inf inferior appendage; arrow 1 indicates spinose area of tergite VIII, arrow 2 indicates lateral protrusion of segment IX. Scale bar denotes 1 mm. Del. Vitecek.
Figure 11 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 11 - Distribution of filtering carnivore Drusinae. Single records of endemic species are depicted as symbols, stroked or filled areas denote ranges of more widely distributed species with a higher number of occurrence records.
Figure 9 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 9 - Male genitalia of Drusus romanicus. A left lateral view B paramere, lateral view C caudal view D dorsal view E ventral view. Scale bar denotes 1 mm. Del. Vitecek.
Figure 3 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 3 - Male genitalia of Cryptothrix nebulicola. A left lateral view B paramere, lateral view C caudal view D dorsal view E ventral view. Scale bar denotes 1 mm. Del. Vitecek.
Figure 7 from: Vitecek S, Kučinić M, Oláh J, Previšić A, Bálint M, Keresztes L, Waringer J, Pauls SU, Graf W (2015) Description of two new filtering carnivore Drusus species (Limnephilidae, Drusinae) from the Western Balkans. ZooKeys 513: 79-104. https://doi.org/10.3897/zookeys.513.9908
Figure 7 - Male genitalia of Drusus meridionalis. A left lateral view B paramere, lateral view C caudal view D dorsal view E ventral view. Scale bar denotes 1 mm. Del. Vitecek.
Wavepacket insights into the photoprotection mechanism of the UV filter methyl anthranilate
<p>Geometries of the S<sub>0,eq </sub>(S0_geom.csv), S<sub>1,eq</sub> (S1_geom.csv), and D<sup>+</sup><sub>0,eq</sub> (D0+_geom.csv) states of MA contain atom labels (<em>e.g.</em> C) and Cartesian coordinates in four columns; distances are in Angstroms (Å).</p> <p>All TR-PES transients are formatted as comma separated variable text files: each column is the photoelectron intensity at one time delay (labeled in the first row) with one eKE value per row (labeled in the first column). Files are labeled with the molecule, pump wavelength, probe wavelength, and a date (<em>e.g</em>. MA_344_285_18June2018.csv).</p> <p>The MATLAB code used to calculate the wavepacket “transients” is also contained herein as wavepacket.m. The code takes user inputs such as the Franck-Condon factors and laser pulse spectral characteristics.</p> <p>The LIF spectrum of photoexcited MA (MA_LIF.csv) is also presented as two columns: pump photon energy and LIF intensity.</p>
PCA Filtering of Tortugas Mountain Observatory 0.6m Goodrich Observations of LCROSS
<p>This archive contains the data products from observations of the 2009-10-09 impact of the Lunar CRater Observation and Sensing Satellite (LCROSS) spacecraft on the Moon by the Goodrich instrument on the Tortugas Mountain Observatory 0.6m telescope. We use principal component analysis (PCA) filtering both to coregister the raw time series and to effectively remove a static background signal that is spatially and temporally modified by atmospheric and instrumental effects. We iteratively remove principal components from the data through cumulative sequential elimination (CSE) resulting in a non-detection of the LCROSS ejecta plume signal.</p> <p>Full details are available in the published journal article:</p> <p>Strycker, Paul D., Nancy J. Chanover, Ruth L. Temme, Jonathan M. Schotte, Payton L. Mueller, and Emily L. Karls. 2023. "Time Series Analysis Methods and Detectability Factors for Ground-Based Imaging of the LCROSS Impact Plume" <em>Remote Sensing</em> <strong>15</strong>, no. 1: 37. <a href="https://doi.org/10.3390/rs15010037">https://doi.org/10.3390/rs15010037</a></p> <p>This work was supported by NASA’s Lunar Data Analysis Program through grant number NNX15AP92G.</p>
Fault detection in Robotic Swarm Aggregation using a Kalman Filter - Appendix
<p>The appendix for my bachelor thesis: Fault detection in Robotic Swarm Aggregation using a<br> Kalman Filter. In the images of the aggregation experiments the different lines refer to the number of clustering robots.</p>
2D FIR filter code
<p>2D FIR filter verilog code </p>
Environmental filters of freshwater fish community assembly along elevation and latitudinal gradients
Aim <p>The aim was to identify drivers of historical freshwater fish community assembly by testing for interactions between functional traits and two climatic gradients, namely elevation and latitude. Many studies conclude that environmental filtering is the dominant process of community-wide trait convergence at high elevations and high latitudes, but a full understanding of which specific filters cause trait convergence is lacking.</p> Location <p>Great Plains–Rocky Mountains, USA.</p> Time period <p>1960–2018.</p> Major taxa studied <p>Freshwater fish.</p> Methods <p>Using 2,539 stream fish community surveys documenting the native distributions of 51 species, we evaluated trait–environment relationships (trade-offs) and trait–dispersion relationships (standardized effect sizes from null models) along elevation and latitudinal gradients in four functional trait categories. We tested whether elevation and latitude exhibited similar trait–environment and trait–dispersion relationships using four functional trait categories (life history, habitat, trophic and locomotion). We predicted that elevation and latitude would have similar relationships owing to shared environmental filters of cold stress and dispersal constraints.</p> Results <p>Life history was the only trait category to display evidence of increased environmental filtering along both gradients, with trait dispersion more constrained at high elevations and high latitudes. Trade-offs revealed that periodic strategies (high fecundity, low juvenile survivorship) decreased with elevation and increased with latitude, whereas equilibrium strategies (low fecundity, high juvenile survivorship) declined along both gradients. Despite the observation of predictable trade-offs for habitat, trophic and locomotion trait strategies, there was little evidence for environmental filtering of these traits at high elevations and high latitudes.</p> Main conclusions <p>Elevation and latitude appear to be environmental filters of freshwater fish community assembly when mediated through life-history strategies, which is likely to be attributable to thermal constraints on growth and reproduction. Our results support the role of environmental filtering in trait convergence patterns along climatic gradients, and we identify cold stress as one specific filter of community assembly.</p>
FIR filter
<p>FIR filter</p>
Dataset construction method of cross-lingual summarization based on filtering and text augmentation
<p>The NCLS dataset is provided by its authors (Zhu et al.): https://drive.google.com/file/d/1GZpKkHnTH_1Wxiti0BrrxPm18y9rTQRL/view. We work on the train set, validation set, and manually corrected test set.</p>
UV filter ecotoxicity data
<p>Acute and chronic exotoxicity data of organic UV-filter substances currently allowed in the EU.</p>
Dataset for: Biological neurons act as generalization filters in reservoir computing
<p>This dataset contains the fluorescence traces from calcium imaging.<br> The data are provided in csv format, wherein the value represents relative fluorescent unit (⊿F/F) of neuron i (arranged in columns) at t-th frame (arranged in rows).<br> The time resolution of the recording is 50 ms/frame.</p> <p>A journal paper is to be published in PNAS with full details of materials and methods.<br> https://www.pnas.org/doi/abs/10.1073/pnas.2217008120</p> <p><br> File naming convention <br> ・"Spon.csv" is a data obtained in a spontaneous activity recording.<br> ・The other file s are named according to the delivered stimulus.<br> ・For the static pattern recognition task, "StimA", "StimB", and "StimC" correspond to the stimulation of the top, middle, and bottom regions in Figure 1B.<br> ・"_half" and "_quarter" refers to stimulations with reduced areas, described in Figure S2A.<br> ・For the speech recognition task, "f1" and "m1" represent the gender of the speakers, and "zero", "one", ... are spoken digits.<br> ・"_reverse" refers to a stimulation to a temporally-reversed input. </p>
ASAS-SN 100 Million Variable Star Database Python CSV Filters
<p>ASAS-SN 100 Million Variable Star Database Python CSV Filters</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.