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2,008 results for “presence”
STOP-IT Human Presence Detector (HPD)
<p>Detecting human movement using WiFi commercial off-the-shelf devices can be effected by exploiting Channel State Information (CSI). CSI is part of the WiFi protocol and models the propagation of a WiFi signal from the transmitter to the receiver, supporting many subcarriers due to the Orthogonal Frequency Division Multiplexing (OFDM) principle. Taking profit of the information provided by the CSI it is possible to detect an intruder in a room or even detect the intruder through the wall. The Human Presence Detector (HPD) uses this technology to detect the presence of a human in movement.</p>
Quantum Data Centres in the Presence of Noise data
<p>This dataset contains all of the raw data needed to reproduce the work in </p> <table> <tbody> <tr> <td><span><a href="https://arxiv.org/abs/2407.10769">arXiv:2407.10769</a></span></td> </tr> </tbody> </table> <p>and any future publications of that work. It also includes data on a variety of edge cases and related investigations that could not be included in the main paper.</p> <p>The file names and directory names are verbose and intended to indicate what they contain.</p> <p>The terms F_werner and F_w refer to the Werner state fidelity and are used interchangeably. p_error and p_depolar_error_cnot, etc are also interchangeable and refer to the error probability of imperfect two-qubit gate operation (this appears as \epsilon_{cnot} in the aforementioned paper). </p> <p>alpha, where it appears, refers to the coefficient of |0> in the input state of the control qubit when a single remote CNOT gate is considered. Phase refers to the relative phase between the coefficients of |0> and |1> in the same context. These parameters also appears in some of the data from larger circuits (marked MQT bench after the benchmarking suite that the circuits come from) but should be ignored as they do not influence the result in that case and are instead indicative only of certain (now deprecated) simulator settings (indicating the possibility of creating the relevant input state) when the data was taken. The inclusion of those parameters in the data files was erroneous. The input state indicated by the parameters in that context was not inputted to the circuit. Instead the circuits were initialised as described in the relevant circuit description. The relevant QASM files can be found on the MQT bench website, which is formally referenced in the work cited above. </p>
Electron-spin decoherence in trityl radicals in the absence and presence of microwave irradiation
<p>Experimental data sets on bare-spin and dressed-spin decoherence of some trityl radicals, DFT-predicted hyperfine couplings and atom coordinates, simulation scripts, and simulated data. </p>
A striatal circuit balances learned fear in the presence and absence of sensory cues
<p>This repository stores the raw data that gave rise to the study by Kintscher et al. 2023, published by eLife (eLife2023;12:e75703; DOI:https://doi.org/10.7554/eLife.75703), as well as a preprint at bioRxiv (doi: 10.1101/2021.12.09.471922). Please refer to the original publication regarding experimental design and methodological details of data acquisition and analysis. Below we supply information on the provided metadata files which, in turn, refer to individual raw data files.</p> <p><strong>General structure of the repository:</strong></p> <ul> <li>the raw data is organized in 22 subsets defined by the figures or supplementary figures they contribute to. Each subset is documented by its own metadata file;</li> <li>the metadata files listing names of the individual data files were made in “.csv” format, one per data subset. Field separator: comma;</li> <li>all metadata are summarized in the main metadata file “metadata_master.csv”. Field separator: comma;</li> <li>the dataset expands into the second repository accessible at the following doi: 10.5281/zenodo.7522958</li> </ul> <p> </p> <p><strong>Description of the non-textual data formats:</strong></p> <ul> <li>due to its excessive volume, the raw data for in-vivo microendoscopic Ca<sup>2+</sup> recordings is not present in the current repository but will be made available upon request from the corresponding author;</li> <li>certain blocks of data, such as the output of CaImAn package, or slide scanner imaging projects, contained multiple smaller files and thus were compressed into encryption- and password-free .zip archives;</li> <li>video recordings of animal behavior during the fear conditioning protocol were provided as unmodified “.wmv” files created by the VideoFreeze acquisition software (Med Associates Inc). Video stream parameters: wmv3 codec, color space yuv420p, 320x240 pixels, 30 fps, bitrate 300 kb/s. Alternatively (Figure 4 – figure supplement 3), videos were stored by EthoVisionXT software as “.mpg” files with the following parameters: AVI container, mpeg4 codec, color space yuv420p, 1280x1024 pixels, 30 fps, bitrate 1206 kb/s;</li> <li>widefield fluorescent images of single coronal sections were either uploaded as original unmodified data in a proprietary .vsi format of Olympus slide scanning microscope (for Figure 1 – figure supplement 1, Figure 3 – figure supplement 1, Figure 7, Figure 7 – figure supplement 1), or were first binned and saved as a composite TIFF format at a resolution ~10.3 micrometers/pixel (for all the post-hoc images showing the virus expression and the fiber/lens placement). Both “.vsi” and TIFF formats are readable by Bioformats plugin working under open-source free software packages FIJI/ImageJ (<a href="https://fiji.sc/">https://fiji.sc/</a> , <a href="https://imagej.net/Fiji/Downloads">https://imagej.net/Fiji/Downloads</a>), or QuPath (<a href="https://qupath.github.io/">https://qupath.github.io/</a>). Imaging metadata such as pixel resolution is embedded inside the individual .vsi or TIFF files. Correspondence between the fluorescent signals and image color channels is provided in the .csv metadata files;</li> <li>confocal fluorescent image stack underlying images in Figure 7B is provided in original proprietary “.lsm” format (Carl Zeiss). The imaging metadata is embedded in .lsm format, which can be read by the Bioformats plugin under FIJI/ImageJ or QuPath;</li> <li>data for patch clamp recordings (Figure 5 – figure supplement 2, Figure 8, Figure 8 – figure supplement 1, Figure 9) are provided as original .dat files from the acquisition software PatchMaster (HEKA Elektronik, Germany). These files can be imported using an Igor Pro extension “bpc_ReadHeka.xop” (for 32-bit Igor Pro versions 5.xx - 6.37) by Holger Taschenberger (<a href="https://www.wavemetrics.com/project/bpc_ReadHeka">https://www.wavemetrics.com/project/bpc_ReadHeka</a>), or using a Python script by Luke Campagnola (<a href="https://github.com/campagnola/heka_reader">https://github.com/campagnola/heka_reader</a>), or using a Matlab script “HEKA PatchMaster Importer” by Christian Keine (<a href="https://github.com/ChristianKeine/HEKA_Patchmaster_Importer">https://github.com/ChristianKeine/HEKA_Patchmaster_Importer</a>).</li> </ul>
Supplementary Data: Collider constraints on electroweakinos in the presence of a light gravitino
<p>This record contains the full dataset generated for the study "Collider constraints on electroweakinos in the presence of a light gravitino" by the GAMBIT Collaboration. The record also includes a GAMBIT configuration file and example scripts for plotting. See the README.md file for further details.</p>
Meshing strategies for 3D geo-electromagnetic modeling in the presence of metallic infrastructure
<p>Accompanying data to journal article</p> <blockquote> <p>Castillo-Reyes, O., Rulff, P., Schankee Um, E., Amor-Martin, A. (2023) Meshing strategies for 3D geo-electromagnetic modeling in the presence of metallic infrastructure. Accepted for publication in Computational Geosciences.</p> </blockquote>
PIE LTER plant species presence along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area), Massachusetts.
Plant species presence along vegetation transects at the Argilla Rd. salt marsh restoration site (Ipswich) and Rough Meadows reference marsh (Rowley – Stackyard Road area). A long term study not directly part of the PIE LTER, but a companion study related to tidal restrictions and hydrological alterations of salt marshes in the Plum Island ecosystem..
Daily presence of individual tagged striped bass as measured by stationary receiver detections in Plum Island Estuary in 2009
Stationary receiver data was collected to measure striped bass distribution in Plum Island Estuary during the time period that they are in New England during their summer foraging migration. Acoustic telemetry was used to tag and detect individual fish throughout the estuary.
Modular organization of the murine locomotor pattern in the presence and absence of sensory feedback from muscle spindles
<p>In this study, we made use of non-negative matrix factorization (NMF) to extract muscle synergies from electromyographic (EMG) data. We implemented the NMF algorithm in R version 3.5.1 (R Foundation for Statistical Computing, R Core Team, Vienna, Austria), a programming language available in a free software environment. However, even if the software does not require a paid license, often researchers are either not confident with or prefer not to spend time writing the code required to perform NMF. We make available, as we recently did with human data (Santuz <em>et al.</em>, 2018), an example open access data set of EMG and muscle synergy data for murine walking and swimming. The data presented in this supplementary information part is available in three formats: 1) the raw EMG of two example trials (one recorded during walking and the other during swimming in a wild type animal, six muscles), unprocessed together with the touchdown and lift-off timings of the recorded limb for walking and the cycle timings for swimming; 2) the filtered and time-normalized EMG and 3) the muscle synergies extracted via NMF. Moreover, we provide the R code for obtaining the results described in the previous three points. We do not report any metadata, since trials are relative to a single representative animal. The R code is profusely commented.</p>
Fig. 7 in Revalidation of Enteromius alberti and presence of Enteromius cf. mimus (Cypriniformes: Cyprinidae) in the Lake Edward system, East Africa
Fig. 7. (a) Lectotype of Enteromius alberti (Poll, 1939) (MRAC 64723) with 74.3 mm SL. (b) Fresh specimen of E. alberti (RMCA 2018.008.P.0248 HP 3246) with 62.4 mm SL.
Fig. 4 in Revalidation of Enteromius alberti and presence of Enteromius cf. mimus (Cypriniformes: Cyprinidae) in the Lake Edward system, East Africa
Fig. 4. Scatterplots of PC2 against PC1 of the PCA on (a) 24 log-transformed measurements (n = 69) and (b) on 15 meristics (n = 62). Specimens of group A, the filled circles (●) represent the genetically analysed specimens, the open circles (Ǫ) indicate the additional specimens. Specimens of E. alberti (Poll, 1939) (lectotype) (♦), E. alberti (paralectotypes) (◊), specimens from Tshambi (), E. cercops (Whitehead, 1960) (holotype) (▲), E. cercops (paratypes) (), E. mimus (Boulenger, 1912) (lectotype) (▼), E. mimus (paralectotypes) (▼), E. perince (R̹ppell, 1835) (syntypes) (+) and E. stigmatopygus (Boulenger, 1903) (syntypes) (×).
Fig. 6 in Revalidation of Enteromius alberti and presence of Enteromius cf. mimus (Cypriniformes: Cyprinidae) in the Lake Edward system, East Africa
Fig. 6. Scatterplot of PC2 against PC1 of the PCA (n = 83) on 24 log-transformed measurements. For group B, the filled squares (■) represent the specimens used for the genetic analysis, the open squares (□) indicate the additional specimens of the Lake Edward system and the two specimens from Tshambi. Specimens of E. mimus (Boulenger, 1912) (lectotype) (▼) and E. mimus (paralectotypes) (▼).
Fig. 2 in Revalidation of Enteromius alberti and presence of Enteromius cf. mimus (Cypriniformes: Cyprinidae) in the Lake Edward system, East Africa
Fig. 2. Scatterplot of PC2 against PC1 of a PCA on 24 log-transformed measurements on 71 specimens of Enteromius Cope, 1867. Specimens of the genetic groups A (●) (n = 21) and B (■) (n = 50) are indicated separately.
Fig. 5 in Revalidation of Enteromius alberti and presence of Enteromius cf. mimus (Cypriniformes: Cyprinidae) in the Lake Edward system, East Africa
Fig. 5. Scatterplots of PC2 against PC1 of (a) the PCA (n = 105) on 24 log-transformed measurements and (b) the PCA (n = 95) on 15 meristics. Specimens of group B, the filled squares (■) represent the genetic analysed specimens, the open squares (□) indicate the additional specimens. Specimens of E. alberti (Poll, 1939) (lectotype) (♦), E. alberti (paralectotypes) (◊), specimens from Tshambi (), E. cercops (Whitehead, 1960) (holotype) (▲), E. cercops (paratypes) (), E. mimus (Boulenger, 1912) (lectotype) (▼), E. mimus (paralectotypes) (▼), E. perince (R̹ppell, 1835) (syntypes) (+) and E. stigmatopygus (Boulenger, 1903) (syntypes) (×).
Fig. 1 in Revalidation of Enteromius alberti and presence of Enteromius cf. mimus (Cypriniformes: Cyprinidae) in the Lake Edward system, East Africa
Fig. 1. Haplotype network of 651-bp-long COI sequences (n = 137) of the specimens of Enteromius Cope, 1867 with a smooth, flexible last unbranched dorsal fin ray from the Lake Edward system. Each circle represents a haplotype, with the size of the circles indicating the number of individuals with this haplotype and the colour indicating the different parts of the basin. Each bar represents a mutation between two haplotypes.
Fig. 3 in Revalidation of Enteromius alberti and presence of Enteromius cf. mimus (Cypriniformes: Cyprinidae) in the Lake Edward system, East Africa
Fig. 3. Scatterplots of (a) interorbital width (IOW), (b) pre-pelvic distance (PrPelD), (c) body depth (BD), (d) maximum caudal peduncle depth (MxCPD), (e) minimum caudal peduncle depth (MnCPD), (f) head width (HW), and (g) head depth (HD) in % SL against SL (in mm) on 72 specimens of Enteromius Cope, 1867. The genetic groups A (●) (n = 22) and B (■) (n = 50) are indicated separately. The dashed lines indicate the size class used for the MWU tests.
Heteroaggregation and Homoaggregation of Latex Particles in the Presence of Alkyl Sulfate Surfactants
<p>The dataset for the publication "Heteroaggregation and Homoaggregation of Latex Particles in the Presence of Alkyl Sulfate Surfactants". DOI: 10.3390/colloids4040052.</p> <p>Files containing data have .dat extension and are in text format</p>
Dataset from Annual Acoustic Presence of Fin Whale (Balaenoptera physalus) Offshore Eastern Sicily, Central Mediterranean Sea
<p>This dataset is form the study: </p> <p>Sciacca V., Caruso F.,Beranzoli L., Chierici F., De Domenico E., Embriaco D., Favali P., Giovanetti G., Larosa G., Marinaro G., Papale E., Pavan G., Pellegrino C., Pulvirenti S., Simeone F., Viola S., and G. Riccobene. "Annual Acoustic Presence of Fin Whale (<em>Balaenoptera physalus</em>) Offshore Eastern Sicily, Central Mediterranean Sea." PLoS ONE 10(11): e0141838. doi:10.1371/journal.pone.0141838</p> <p>The archives labeled YYYYMM_Spectrograms.zip contain the data from each month of passive acoustic recording -MM- of the years -YYYY- 2012 and 2013. Data consist of the spectrograms (1-50 Hz) of 10-min audio recordings, in PNG format files. These data were used in the cited study to verify the presence of fin whale calls.</p> <p>The archive labeled "NoiseData.zip" consists of two matrix (ASCII format) containing the recorded values of acoustic noise within the fin whale call frequency band.</p> <p> </p> <p> </p>
Genetic variation in Loudetia simplex supports the presence of ancient grasslands in Madagascar
<div><strong>Summary</strong></div> <div> </div> <div> <em>Research Aims</em> - The extent of Madagascar's grasslands prior to human colonization is unresolved. We used population genetic analyses of a broadly dominant C<sub>4</sub> fire-adapted grass, <em>Loudetia </em>simplex, as a proxy for estimating grassland change through time. We carefully examined the utility of target-enrichment data for population genetics to make recommendations for conservation genetics. We explored the potential of estimating individual ploidy levels from target-enrichment data and how assumptions about ploidy could affect analyses.</div> <div> </div> <div> <em>Methods</em> - We developed a novel bioinformatic pipeline based to estimate ploidy and genotypes from target-enrichment data. We estimated standard population genetic summary statistics in addition to species trees and population structure. Extended Bayesian skyline plots provided estimates of population size through time for empirical and simulated data.</div> <div> </div> <div> <em>Key Result </em>- All Malagasy <em>Loudetia </em>simplex individuals sampled in this study formed a clade and possibly indicated an ancestral high-altitude distribution. Demographic models suggested grassland expansions occurred prior to the Last Interglacial Period and supported extensive grasslands prior to human colonization. Though there are limitations to target-enrichment data for population genetic studies, we find that analyses of population structure are reliable.</div> <div> </div> <div> <em>Key Point - </em>Genetic variation in <em>Loudetia </em>simplex supports widespread grasslands in Madagascar prior to the more recent periods of notable paleoclimatic change. However, the methods explored here could not differentiate between paleoclimatic change near the Last Glacial Maximum and anthropogenic effects. Target-enrichment data can be a valuable tool for analyses of population structure in the absence a reference genome.</div> <div> </div> <div><strong>Societal Impact Statement</strong></div> <div> </div> <div>Recognizing <em>Loudetia </em>dominated grasslands were widespread prior to human colonization highlights that open ecosystems were and continue to be an important component to Madagascar's biodiversity. Urgently required are biodiversity inventories and risk assessments for unique grassland flora and fauna under present day environmental conditions to recognize and quantify modern human impacts within ecosystems historically regarded as wastelands. Substantial financial and logistic barriers exist to implementing conservation studies using contemporary genomic tools that we seek to ameliorate by developing computational resources to leverage a cost-effective data generation strategy that requires no prior genetic knowledge of the target species.</div>
EFSA Opinion Update of risks for animal health related to the presence of ochratoxin A (OTA) in feed: Annexes on Occurrence data in feed submitted to EFSA
<p>Annexes to EFSA's Update Opinion on the risks for animal health related to the presence of OTA in feed. Annex B includes the occurrence data in feed extracted from EFSA Data Warehouse for the period from 2012 to 2021. Annex C contains the occurrence data expressed in dry matter following analysis and cleansing of the dataset as detailed in EFSA's Opinion. Annex D lists the samples of 'Compound feed' and other feed materials except forage expressed in whole weight. The number of samples across some of the feed categories differ among the two annex C and D because in few cases the moisture content was not reported (and no assumption on the moisture could be done), precluding the conversion of the analytical results to either whole weight or dry matter. </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.