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7,195 results for “SET”
VOC analysis data set for polyfilament analysis of antibacterial PE, PA and PLA fibre samples with natural additive rosin and silver
<p>This data is a detail report related to the VOC measurements described and analyzed in the work<br> Weathering and safety of antibacterial polymer-rosin polyfilaments. The detailed description of the<br> method, samples preparations and main outcomes are given in the work. Here, Tables 1-7 indicate the<br> average and (range) concentration of emitted compounds from each polyfilament fibre sample analyzed<br> at different temperatures for their VOC emissions.</p>
Data Sets: An Assessment of Water Trusts: Drinking Water Quality and Provision in Six Low-income, Peri-urban Communities of Lusaka, Zambia
<p>Data set associated with the manuscript published in GeoHealth titled An Assessment of Water Trusts: Drinking Water Quality and Provision in Six Low-income, Peri-urban Communities of Lusaka, Zambia. This includes bacterial, nitrate, specific conductance, and Water Trust survey data collected from Lusaka, Zambia in 2013, 2014, 2016, an 2019.</p>
A new set of analytical formulae for the computation of the bootstrap current and the neoclassical conductivity in tokamaks
<p>Provided data includes data sets that have been used to develop a new set of analytical formulas for calculating the bootstrap current and the neoclassical conductivity.</p>
Token-based data sets for the analysis of the academic language of literary studies and linguistics
<p>These are the token-based data sets used for my PhD thesis ("Potentiale syntaktischer Annotationen für die datengeleitete Sprachbeschreibung am Beispiel der Wissenschaftssprachen der Germanistik", publication in progress).</p> <p>For python scripts and further data see https://github.com/melandresen/dissertation.</p> <p>Due to copyright law, the annotated texts of the corpus could only be published without the token layer. The files provided here include the token-based frequency data that have been derived from the origial texts and can be used as input to the analysis scripts in the GitHub-Repository.</p>
Data sets - Polish version of SARC-F
<p>These data sets correspond to the paper entitled Polish version of SARC-F to assess sarcopenia in older adults: an examination of reliability and validity</p>
VOC chromatogram data set for polyfilament analysis of antibacterial polyfilament fibre samples with natural additive rosin and silver
<p>This data is a detail report related to the VOC measurements described and analyzed in the paper Weathering of antibacterial melt-spun polyfilaments modified by pine rosin. The detailed description of the method, sample codes, samples preparations and main outcomes are given in the manuscript. Figures (1-7) are the direct graphs from the device software as ‘chromatograms’ (TIC, total ion chromatograms) for each polyfilament fibre sample analyzed at different temperatures. The graphs indicate the measured (computed) ion count (abundance, arbitrary units) as a function of time (minutes).</p> <p> </p>
Fiji/CellProfiler cell migration timelapse data set and code
<p>This zenodo upload consists of:</p> <p>Fiji IJMacro script create_LabelledMasks.ijm<br> CellProfiler pipeline TrackMate_CellProfiler.cppipe<br> Matlab script Plot_per_cell.m <br> <br> Saved manually curated TrackMate project crop_1_60_ManualCuration.xml<br> Saved Spots Results Table of manually curated TrackMate project: Spots in tracks statistics.csv<br> CellProfiler pipeline output cp_output.zip</p> <p>Example data set crop_1_60.tif - subset of image data previously described in:</p> <p><strong><a href="https://www.zotero.org/google-docs/?9YEDuq">Shafqat-Abbasi, H., Kowalewski, J. M., Kiss, A., Gong, X., Hernandez-Varas, P., Berge, U., Jafari-Mamaghani, M., Lock, J. G., and Strömblad, S. 2016. An analysis toolbox to explore mesenchymal migration heterogeneity reveals adaptive switching between distinct modes. eLife 5:e11384–e11384.</a></strong><br> Many thanks to Staffan Strömblad et al. for sharing the data.</p>
Data sets comparing Ca(2+) dynamics in whole-cell and β-escin-based perforated patch clamp recordings in adult mouse brain slices.
<p># Hess-et-al-beta-escin-2020<br> Data of the "Data in Brief" article concerning the added buffer approach with beta-escin perforated patch.</p> <p>A joint work by: Simon Hess (`simon.hess@uni-koeln.de`), Christophe Pouzat (`christophe.pouzat@math.unistra.fr`), and Peter Kloppenburg (`peter.kloppenburg@uni-koeln.de`).</p> <p>## Content</p> <p>This repository contains:</p> <p>- Directory `data_whole_cell` contains the experimental data in [HDF5](https://en.wikipedia.org/wiki/Hierarchical_Data_Format) format. The data contains recordings of _Substantia nigra_ dopaminergic neurons recorded in the whole-cell configuration.<br> - Directory `data_beta_escin` contains the experimental data in [HDF5](https://en.wikipedia.org/wiki/Hierarchical_Data_Format) format. The data contains recordings of _Substantia nigra_ dopaminergic neurons recorded in the β-escin perforated patch clamp configuration.</p>
Active Learning with RESSPECT: Data Set
<p>This folder contains pre-processed simulated data first made available by Rick Kessler for the <br> <a href="https://arxiv.org/abs/1008.1024">Supernova Photometric Classification Challenge (SNPCC)</a>.</p> <p>All data were feature extracted using the <a href="https://arxiv.org/pdf/0904.1066.pdf">Bazin parametric function</a>.</p> <p>This version of the data set was used to obtain the results reported in <a href="https://arxiv.org/pdf/2010.05941.pdf">Kennamer et al., 2020 - <em>Active learning with RESSPECT: resource allocation for extragalactic astronomical transients</em>.</a> Published during the <a href="http://www.ieeessci2020.org/symposiums/ciastro.html">2020 IEEE Symposium Series on Computational Intelligence</a>. The code used to obtain the results shown in the paper is available in the <a href="https://github.com/COINtoolbox/RESSPECT">COINtoolbox</a> (github). <br> <br> This work was developed under the <a href="https://cosmostatistics-initiative.org/resspect/">RESSPECT project</a>, an inter-collaboration agreement established between the <a href="https://lsstdesc.org/">LSST Dark Energy Science Collaboration (LSST-DESC)</a> and the <a href="https://cosmostatistics-initiative.org/">Cosmostatistics Initiative (COIN)</a> in order to develop an active learning pipeline to advise the allocation of telescope resources.</p>
Encoding and control of airflow orientation by a set of Drosophila fan-shaped body neurons
<p class="Body"><span><span><span><span><span><span><span><span><span><span>The insect Central Complex (CX) is thought to underlie goal-oriented navigation but its organization is still not fully understood. We recorded from genetically-identified CX cell types in <i>Drosophila</i> and presented directional visual, olfactory, and airflow cues known to elicit orienting behavior. We found that a group of neurons targeting the ventral fan-shaped body (ventral P-FNs) are robustly tuned for airflow direction. Ventral P-FNs did not generate a "map" of airflow direction. Instead, cells in each hemisphere were tuned to 45° ipsilateral, forming a pair of orthogonal bases. Imaging experiments suggest that ventral P-FNs inherit their airflow tuning from neurons that provide input from the lateral accessory lobe (LAL) to the noduli (NO). Silencing ventral P-FNs prevented flies from selecting appropriate corrective turns following changes in airflow direction. Our results identify a group of central complex neurons that robustly encode airflow direction and are required for proper orientation to this stimulus.</span></span></span></span></span></span></span></span></span></span></p>
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance
<p>This Zenodo repository contains 100 copies of the model BERT fine-tuned on the MNLI dataset, created for the paper "BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance." Please see the project GitHub page for more details about using these models and how to cite any such usage: https://github.com/tommccoy1/hans/tree/master/berts_of_a_feather</p>
Data set related to the manuscript "Simulations of ionic liquids confined in surface-functionalized nanoporous carbons: Implications for energy storage"
<p>Graphical files in the agr format for all the figures in the manuscript entitled "Simulations of ionic liquids confined in surface-functionalized nanoporous carbons: Implications for energy storage". Examples of input files for the three systems simulated.</p>
K2 Simulation Data Set
<p>Simulation results of rainfall-runoff events over the upper Arroyo Seco Basin using KINEROS2 described in the paper "The timing and magnitude of changes to Hortonian overland flow at the watershed scale during the post-fire recovery process" by <strong>Tao Liu</strong><strong>, Luke A. McGuire, Haiyan Wei, Francis K. Rengers, Hoshin Gupta, Lin Ji, David C. Goodrich </strong>submitted to Hydrological Processes.</p>
80 Initial Data-set Studies SMS Strategy CG
<p>Initial Data set of 80 primary studies SMS: "Empirical Strategies in Software Engineering Research: A Literature Survey", by Cathy Guevara-Vega<br> </p>
The growth of COVID-19 scientific literature: A forecast analysis of different daily time series in specific settings
<p>Submitted to The ISSI 2021 Conference. The conference is organised by KU Leuven in close collaboration with the university of Antwerp under the auspices of ISSI – the International Society for Informetrics and Scientometrics (<a href="http://www.issi-society.org/">http://www.issi-society.org/</a>). </p> <p>We present a forecasting analysis on the growth of scientific literature related to COVID-19 expected for 2021. Considering the paramount scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced. This questions the capacity of scientists, politicians and citizens to maintain infrastructure, digest content and take scientifically informed decisions. A crucial aspect is to make predictions to prepare for such a large corpus of scientific literature. Here we base our predictions on the ARIMA model and use two different data sources: the Dimensions and World Health Organization COVID-19 databases. These two sources have the particularity of including in the metadata information on the date in which papers were indexed. We present global predictions, plus predictions in three specific settings: by type of access (Open Access), by NLM source (PubMed and PMC), and by domain-specific repository (SSRN and MedRxiv). We conclude by discussing our findings.</p>
data set regarding to project –Polish version of Mini Sarcopenia Risk Assessment (MSRA) Questionnaire
<p><strong>This data set corresponds with the article titled Polish translation and validation of The Mini Sarcopenia Risk Assessment (MSRA) Questionnaire to assess nutritional and non-nutritional risk factors of sarcopenia in older adults.</strong></p>
Water quality data sets of the Gozyo catchment and the four U.S. watersheds
<p>This zipped file contains three excel files. Table GZ_Solute.xls and Table GZ_Tb.xls are high-frequency water quality data in the stream of the small forested catchment, Gozyo cattchment (12.14ha), Nara, Japan. The high-frequency on-site Water quality (WQ) measurements of K, Cl, and Na in the stream using flow-injection potentiometry method with 15-minute interval were interpolated to 10-minute interval data. The SS concentration in the stream was estimated by linear transformation from the observed 10-minute turbidity value. Table GZ_Solute.xls gives observed 10-minute solutes data with discharge, rainfall, and temperature from 2009 to 2011, and Table GZ_Tb.xls provides the observed 10-minute turbidity data from 2012 to 2014. SS value (mg/l) is calculated as 1.09 Turbidity + 6.19. The data value of -999 means missing observation.</p> <p>Tables US_daily_WQ_datasets.xls contains daily water quality (WQ) and discharge data from the four watersheds in the United States. The data value of -999 also means missing observation. The names (USGS station numbers) of four WQ monitoring sites are Muskingum River (03150000), Rock Creek (04197170), Skunk River (05474000), and Vermilion River (04195000). Daily WQ data were composed by following the procedure described in the Appendix S1 in Hirsch (2014). The WQ data for Muskingum, Rock, and Vermilion river were retrieved from Heidelberg University's National Center for Water Quality Research site (https://ncwqr.org/monitoring/data) and suspended sediment discharge data were downloaded from the USGS National Water Information System (<a href="http://waterdata.usgs.gov/nwis/">http://waterdata.usgs.gov/nwis/</a> or https://doi.org/: 10.5066/F7P55KJN). All the daily discharge data were acquired via the USGS National Water Information System.</p> <p>These data were used to evaluate the performance of the unbiased load estimates and confidence intervals of river loads based on the Rating curve method using importance sampling in the listed article below. To maintain the traceability of the proposed load estimation method and replicability the results in the article, the authors of the article upload the data used in this repository.</p> <p> </p> <p>References</p> <p>Hirsch, R. M. (2014). Large biases in regression-based constituent flux estimates: causes and diagnostic tools. <em>Journal of the American Water Resources Association</em>, 50(6), 1401-1424. https://doi.org/10.1111/jawr.12195</p> <p>Tada, A. and H. Tanakamaru. (Submitted) Unbiased estimates and confidence intervals for riverine loads, <em>Water Resources Research</em>.</p>
Short-Tandem-Repeat (STR) marker set for Eurasian lynx for article: Genetic analysis indicates spatial-dependent patterns of sex-biased dispersal in Eurasian lynx in Finland
<p>Conservation and management of large carnivores requires knowledge of female and male dispersal. Such information is crucial to evaluate the population's status and thus management actions. This knowledge is challenging to obtain, often incomplete and contradictory at times. The size of the target population and the methods applied can bias the results. Also, population history and biological or environmental influences can affect dispersal on different scales within a study area. We have genotyped Eurasian lynx (180 males and 102 females, collected 2003-2017) continuously distributed in southern Finland (~23,000 km<sup>2</sup>) using 21 short tandem repeats (STR) loci and compared statistical genetic tests to infer local and sex-specific dispersal patterns within and across genetic clusters as well as geographic regions. We tested for sex-specific substructure with individual-based Bayesian assignment tests and spatial autocorrelation analyses. Differences between the sexes in genetic differentiation, relatedness, inbreeding, and diversity were analysed using population-based AMOVA, F-statistics, and assignment indices. Our results showed two different genetic clusters that were spatially structured for females but admixed for males. Similarly, spatial autocorrelation and relatedness was significantly higher in females than males. However, we found weaker sex-specific patterns for the Eurasian lynx when the data were separated in three geographical regions than when divided in the two genetic clusters. Overall, our results suggest male-biased dispersal and female philopatry for the Eurasian lynx in Southern Finland. The female genetic structuring increased from west to east within our study area. In addition, detection of male-biased dispersal was dependent on analytical methods utilized, on whether subtle underlying genetic structuring was considered or not, and the choice of population delineation. Conclusively, we suggest using multiple genetic approaches to study sex-biased dispersal in a continuously distributed species in which population delineation is difficult.</p>
Data Sets and Code for Simple formulas for pseudoposition for electrical resistivity and IP in vertical boreholes based on mean positions of the sensistivity
<p>Data and Matlab code in figures.</p>
Data from: Pollination treatment affects fruit set and modifies marketable and storable fruit quality of commercial apples
Insect-mediated pollination increases yields of many crop species and some evidence suggests that it also influences crop quality. However, the mechanistic linkages between insect-mediated pollination and crop quality are poorly known. In this study, we explored how different pollination treatments affected fruit set, dry matter content (DMC), mineral content and storability of apples. Apple flowers supplementary pollinated with compatible pollen resulted in higher initial fruit set rates, higher fruit DMC and a tendency for lower fruit K:Ca ratio than flowers that received natural or no pollination. These variables are related to desirable quality aspects, since higher DMC is connected to higher consumer preference and lower K:Ca ratio is related to lower incidence of postharvest disorders during storage. Using structural equation modelling, we showed an indirect effect of pollination treatment on storability, however mediated by complex interactions between fruit set, fruit weight and K:Ca ratio. The concentrations of several elements in apples (K, Zn, Mg) were affected by the interaction between pollination treatment and apple weight, indicating that pollination affects element allocation into fruits. In conclusion, our study shows that pollination and the availability of compatible pollen needs to be considered in the management of orchard systems, not only to increase fruit set, but also to increase the quality and potentially the storability of apples.
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.