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10,119 results for “IT Support”
BLE RSS measurements database and supporting materials
<p>BLE RSS measurements database and supporting materials</p> <p>The database contains over 4,700 fingerprints of measurement from Bluettoth Low Energy (BLE) beacons. The beacons were Accent System's IBKS105, and the RSS were measured in two zone from the Universitat Jaume I, in Spain. One zone is an area among bookshelves that belong to the university library, for which beacons were configured to advertise at the -12 dBm power and the collection was performed using three smartphones: aBQ Aquaris X5 plus, a Samsung Galaxy S6 (SM-G920F) and a Samsung Galaxy A5 2017 (SM-A520F). The other zone is an office space area, for which beacons were configured at -4dBm, -12 dBm, and -20dBm and the collection was performed using the only Samsung Galaxy A5 smartphone. The supporting material includes Matlab® scripts to load and filter the desired data, and provides examples that depict common challenges for BLE RSS-based indoor positioning. The supporting material also includes the beacon deployment and the obstacles local coordinates.</p> <p>Citation request:</p> <p>Mendoza-Silva, G.M.; Matey-Sanz, M.; Torres-Sospedra, J.; Huerta, J. BLE RSS Measurements Dataset for Research on Accurate Indoor Positioning. Data 2019, 4, 12</p> <p>Mendoza-Silva, G.M.; Matey-Sanz, M.; Torres-Sospedra, J.; Huerta, J. "BLE RSS meaurements database and supporting materials". Zenodo repository, DOI 10.5281/zenodo.1618692</p> <p> </p>
Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning: A real-world case study of decision support system using blood test & GP referral letters - Bing Wang and Prof Weizi (Vicky) Li (University of Reading)
<p>This video is the sixth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning: A real-world case study of decision support system using blood test & GP referral letters - Bing Wang and Prof Weizi (Vicky) Li (University of Reading)</p> <p>Bio: Dr Weizi (Vicky) Li is the PI of the Future Blood Testing Network, an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway. Bing Wang is currently a PhD candidate in informatics and system science at the Informatics Research Center, Henley Business School, University of Reading. Bing’s research interests are Natural Language Processing, Machine Learning and Graph Machine Learning. Bing been working as a data scientist at Royal Berkshire NHS Foundation Trust since December 2019 during his PhD.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/W6EH5l80NmU</p>
Raw data files for the manuscript entitled "Understanding your support system: the design of a stable MOF/polyazoamine support for biomass conversion"
<p>Raw data files for the manuscript entitled "Understanding your support system: the design of a stable MOF/polyazoamine support for biomass conversion" published in Chemistry of Materials. <a href="https://doi.org/10.1021/acs.chemmater.2c01731">https://doi.org/10.1021/acs.chemmater.2c01731</a></p> <p>The files are organized by manuscript figure names and are in a simple text format. The headers contain the necessary information such as column designations.</p>
Supporting data for "Quality control for the target decoy approach for peptide identification"
<p>Supporting data for the manuscript "Quality control for the target decoy approach for peptide identification". Input files are raw mass spectrometry runs, to be downloaded from the PRIDE Archive (https://www.ebi.ac.uk/pride/), which can be processed with the parameter files, Nextflow workflow, and Python scripts in "workflow-scripts-parameters.zip". The resulting output files that were used for the manuscript are provided in search-results.zip.</p>
Supporting Information (software and data) for: Client-side energy and GHGs assessment of advertising and tracking in the news websites
<p>This is the open data and free/libre and open source software repository for the article "Client-side energy and GHGs assessment of advertising and tracking in the news websites" by Fabio Pesari, Giovanni Lagioia, Annarita Paiano.</p>
Figure 1 in Intestinal preservation in a birdlike dinosaur supports conservatism in digestive canal evolution among theropods
Figure 1. Daurlong wangi holotype. (a), whole specimen. (b), skull. (c), detail of orbit region. (d), feather remains associated to the thoracic vertebrae. (e), anuran skeleton. Scale bars: 20 mm (b), 10 mm (c).
Figure 3 in Intestinal preservation in a birdlike dinosaur supports conservatism in digestive canal evolution among theropods
Figure 3. Diagnosis of Daurlong wangi. Specimen IMMNH-PV00731. Skull (a, b), lef scapula (c), sternum and lef hand (d, e), right forelimb (f). Reconstruction in (g) by M. Auditore (CC-BY 4.0). Combination of features diagnostic for D. wangi: 1, slender subnarial ramus of premaxilla extended caudally well beyond the external naris; 2, large, trapezoid promaxillary recess placed at the rostroventral corner of antorbital fossa; 3, maxillary fossa large, shallow and caudodorsally located, so that the pila promaxillaris is wider than the pila interfenestralis; 4, stepped subcutaneous surface of the ventral ramus of maxilla; 5, absence of pitted ventral ramus of the antorbital fossa; 6, robust fang-like maxillary teeth with straight to slightly convex distal crown margins; 7, distal end of first sternal rib fan-shaped. 8, bowed scapula; 9. radius and ulna more robust than any manual element; 10. wide overlap of the semilunate carpal over metacarpal II. In D, gray area indicates sternum, black areas indicate lef hand elements. Abbreviations: af, antorbital fossa; de, dentary; ju, jugal; la, lacrimal; ma, maxilla; na, nasal; pm, premaxilla; su, surangular. Scale bar in G = 10 cm.
Figure 2 in Intestinal preservation in a birdlike dinosaur supports conservatism in digestive canal evolution among theropods
Figure 2. Selected elements of Daurlong wangi holotype. (a), neck and pectoral region. (b), thoraco-sacral series. (c), ventral part of the belly region. (d), tail. Abbreviations: ca, caudotheca; cc, caudal centrum; co, coracoid; cv, cervical vertebrae; dr, dorsal rib; dv, dorsal vertebrae; f, feathers; fe, femur; ga, gastralia; I-/II-/III-, phalanges; il, ilium; is, ischium; mc, metacarpal; pu, pubis; sc, scapula; st, sternum, sr1, sternal rib1, sv, sacral vertebrae. Scale bars in (a-c) = 20 mm.
Supporting information for "Cosolvent effects on the structure and thermoresponse of a polymer brush: PNIPAM in DMSO-water mixtures"
<p>This deposition contains the data and analysis (Jupyter notebooks) detailed in "Cosolvent effects on the structure and thermoresponse of a PNIPAM brush”. All Jupyter notebooks have also been converted into PDF files for ease of viewing.</p> <p>All data and code (notebooks) required to reproduce the analysis can be found within the “supporting_data_analysis.zip” archive. This archive contains three sub-directories:</p> <ul> <li>FTIR <ul> <li>FTIR transmission data of binary DMSO-water mixtures as a function of solvent composition.</li> <li>FTIR deconvolution was performed using software readily available at <a href="https://github.com/haydenrob/spec_deconv">https://github.com/haydenrob/spec_deconv</a>.</li> </ul> </li> <li>Ellipsometry <ul> <li>Data directory containing all raw ellipsometry data.</li> <li>“refellips_Spectroscopic_SL.ipynb” notebooks to reproduce the analysis of a hydrated (solid-liquid) polymer brush. Relevant plotting tools can be found in the <a href="https://github.com/refnx/refellips">refellips</a> repo.</li> <li>A spatial map of the polymer brush used for spectroscopic ellipsometry data analysis: “surface_map.png”.</li> <li>“Ellipsometry_logistical_fitting.ipynb” notebook and “DMSO_6mol_results.csv” file for the demonstration of the extraction of a thermotransition temperature from an ellipsometry dataset.</li> </ul> </li> <li>Neutron_reflectometry <ul> <li>Data directory containing all relevant reduced reflectivity profiles from the Platypus reflectometry at ANSTO.</li> <li>“refnx_dry.ipynb” and “refnx_solvent.ipynb” notebooks required to reproduce the analysis pertaining to a dry polymer brush and a solvated brush, respectively.</li> <li>Additional code required to model the hydrated polymer brush and various plotting tools can be in the <a href="https://github.com/igresh/refnxtoolbox">refnxtoolbox</a> repo.</li> </ul> </li> </ul>
Supporting information for: Age-specific sensitivity analysis of stable, stochastic and transient growth for stage-classified populations
<p>The study associated with this dataset proposes a way of performing age-specific sensitivity analysis of stable, stochastic and transient growth for stage-classified populations. Here, you find simulation code in R to produce figures in the manuscript and matrices reporting demographic data upon which code computations are performed.</p>
Data in Support of Rainbow Parameterization
<p>This Archive contains data in support of the publication "Predicting Future Rainbows: A tutorial in Parameterization"</p> <p>The files are as follows:</p> <p>Monthly mean data sets from 4 year simulations:</p> <ul> <li>cc_cam6357fv_rainbow10.nc </li> <li>cc_cam6357fv_rainbow10_SST4K_2xCO2.nc </li> <li>cc_cam6357fv_rainbow10_pi.nc</li> </ul> <p>Instantaneous data used to build the parameterization and analyze the diurnal cycle: </p> <ul> <li>cchr_Jan_cam6357fv_rainbow10_hr.nc </li> <li>cchr_Jul_cam6357fv_rainbow10_hr.nc</li> </ul> <p>Model code: micro_pumas_cam.F90</p> <p>Analysis Code (Jupyter Notebooks):</p> <ul> <li>rainbow_monthly_mac.ipynb. (for monthly)</li> <li>rainbows10sens_mac.ipynb (for single month instanatnaeous)</li> </ul> <p> </p>
Ivercori Dataset and dictionary. Ivermectin impact in COVID-19 pneumonia mortality and need of respiratory support
<p>Dataset of IVERCORI and variables dictionary. IVERCORI is a propensity matched score retrospective study that analyses the impact of ivermectin in COVID-19 pneumonia in-hospital mortality and need of respiratory support:</p>
Semantic Similarity of IT Support Tickets
<p>Collection of 300 support tickets manually labeled for semantic similarity, obtained from a IT support company in the Florianópolis (Brazil) region. Each ticket is represented by an unstructured text field, which is typed by the user that opened the call. The labeling process was performed in 2022 by three IT support professionals. The corpus contains tickets in many languages, mainly English, German, Portuguese and Spanish.</p> <p>All Personal Identifiable Information (PII) and sensitive information were removed (substituted by a tag indicating the original content, for instance: the sentence "this text was written by Leonardo" is converted to "this text was written by [NAME]"). The removal was performed in three steps: first, the automated machine learning-based tool AWS Comprehend PII Removal was used; then, a sequence of custom regular expressions was applied; last, the entire corpus was manually verified.</p>
Dataset supporting publication: "Geofit: Experimental Investigations and Numerical Validation of Shallow Spiral Collectors as a Basis for Development of a Design Tool for Geothermal Retrofitting of Existing Buildings"
<p>Dataset supporting publication: “Geofit: Experimental Investigations and Numerical Validation of Shallow Spiral Collectors as a Basis for Development of a Design Tool for Geothermal Retrofitting of Existing Buildings” (publication available in <a href="https://zenodo.org/record/7273966#.Y2JgBnbMJPY">GEOFIT Zenodo</a>)</p> <p>The H2020 GEOFIT (grant no. 792210) project will implement and demonstrate easy-to-install and economical geothermal systems in combination with heat pumps for energy-efficient building retrofits at five pilot sites across Europe - a historic building (ITA), a school (ESP), an indoor swimming pool (IRL), an office building (FRA) and a single-family house (IRL) (GEOFIT,2018). Heat pump tests and experimental laboratory tests with shallow geothermal heat collector types are carried out in climate chambers at the AIT. Material data of different soil types are determined in the thermophysics laboratory. Furthermore, CFD simulations of the conducted experiments are calculated with ANSYS Fluent. All this provides data and know-how for the development of a design tool for ground collector configurations such as helices and slinky loops, which are particularly relevant for building retrofits in GEOFIT. Experimental work focused on near-surface spiral geothermal heat exchanger configurations that can be installed at a maximum depth of five metres. Real-scale experiments were carried out for vertically oriented spiral collectors (helix) in real soil. One objective was to develop a measurement concept in the laboratory environment to create the framework for a reliable database. This database is used as a basis for the further development or new development of engineering design tools. Distributed resistance temperature sensors and a fibre-optic temperature measurement system (DTS) were used. The moisture content of the soil was recorded using soil moisture sensors. A heat flow was conditioned by means of a helix shaped electric heating cable in a 1m³ cuboid soil container. The measurements were carried out in a climate chamber at a defined constant temperature of 10 °C. The evaluation of the transient response behaviour is spatially resolved. This results in coordinate-related temperature points, which describe temperature gradients in all axes of the container over time. Three different types of soil were investigated. The temperature behaviour of humus soil, sand and a mixture of these was investigated experimentally in smaller experiments and the material data such as heat capacity, thermal conductivity and density were determined thermophysically in the laboratory. Based on this data, a CFD model was developed which can be used to modify the geometry parameters of the helix.</p>
Dataset supporting publication: Design Framework and Laboratory Experiments for Helix and Slinky Type Ground Source Heat Exchangers for Retrofitting Projects
<p>Dataset supporting publication: “Design Framework and Laboratory Experiments for Helix and Slinky Type Ground Source Heat Exchangers for Retrofitting Projects” (publication available for download: <a href="https://zenodo.org/record/7436458">GEOFIT Zenodo</a>).</p> <p>The focus of the experimental work was on shallow spiral geothermal heat exchanger configurations. Real-scale experiments were carried out for vertically oriented spiral collectors (helix) in sand and soil. One objective was to develop a measurement concept in laboratory environment to create a framework for a validated database. This database serves as the basis for further and new development of engineering design tools. To achieve the highest possible data-point density in the observed environment, temperature sensors and a fiber-optic temperature measurement system (DTS) were used. Soil probes were taken in situ before and after the measurements and analyzed at a thermophysical laboratory to determine material properties. The heat flow was controlled by an electric heating cable, which was installed in the form of a spiral-shaped heat exchanger in a 1 m³ container. To guarantee constant boundary conditions, the measurements were carried out in a climate chamber at a defined ambient temperature. The evaluation of the transient response behavior is spatially resolved. The results are coordinate-based temperature points, which describe temperature gradients in all axes of the container over time, which are combined with known soil properties. The collected data was used to develop computational fluid dynamic (CFD) models, which are used to extend the variety of geometry and soil configurations for developing new design tools.</p>
On the reversible sodium plating/stripping reaction in porous SiCN(O) ceramic: a feasibility study. Supporting Information
<p>Supporting Information of the article: On the reversible sodium plating/stripping reaction in porous SiCN(O) ceramic: a feasibility study</p>
Supporting biophysical data for "The ecosystem wilting point defines drought response and recovery of a Quercus-Carya forest"
<p>The data in this product support analyses in the paper titled "The ecosystem wilting point defines drought response and recovery of a Quercus-Carya forest".</p> <p>The data in this submission include leaf area index (LAI_MOFLUX_2008_2009_2012.csv) and soil water retention curves (MOFLUX_SWRC_data.csv).</p> <p><strong>Leaf area index</strong></p> <p>Each data record in LAI_MOFLUX_2008_2009_2012.csv consists of transect level mean single-sided leaf area index (LAI) values for 5 transects measured during the growing seasons of years 2008, 2009, and 2012. Records are uniquely identified by Year and DOY (day of year). Data were collected using a plant canopy analyzer (model LAI-2000). Data columns are defined by headers. Missing data are represented by values of -9999.</p> <p>Table 1. Header definitions of LAI_MOFLUX_2008_2009_2012.csv data file.</p> <table> <tbody> <tr> <td>Column</td> <td>Header name</td> <td>Definition</td> </tr> <tr> <td>1</td> <td>Year</td> <td>Year of observation</td> </tr> <tr> <td>2</td> <td>DOY</td> <td>Day of year of observation</td> </tr> <tr> <td>3</td> <td>LAI_SE</td> <td>Mean LAI of southeast transect</td> </tr> <tr> <td>4</td> <td>LAI_S</td> <td>Mean LAI of south transect</td> </tr> <tr> <td>5</td> <td>LAI_SW</td> <td>Mean LAI of southwest transect</td> </tr> <tr> <td>6</td> <td>LAI_W</td> <td>Mean LAI of west transect</td> </tr> <tr> <td>7</td> <td>LAI_NW</td> <td>Mean LAI of northwest transect</td> </tr> </tbody> </table> <p><strong>Soil water retention curves</strong></p> <p>Soil water retention curves for two soil depth ranges (0-30 cm and >30 cm) are reported in MOFLUX_SWRC_data.csv. Soil samples were collected near the MOFLUX tower. Samples were evaluated periodically for soil water potential using a dewpoint potentiometer (Decagon Devices, Model WP4C) and a pressure plate as they dried over time.</p> <p>There are 4 columns of data in MOFLUX_SWRC_data.csv. The first two columns contain data for the 0-30 cm depth range, and the second columns contain data for the >30 cm depth range. Each curve is defined by volumetric water content (VWC, %) and soil water potential (SWP, MPa). Missing data are represented by values of -9999.</p> <p> </p>
Data for: Widespread support for a global species list with a formal governance system
<p>This spreadsheet provides all cleaned and validated data used in the analysis of the GSLWG survey to gather opinions about the governance of taxonomic lists. Data are anonymous. Interpertations of variables are available in a separate codebook file, also available on Dryad and associated with this manuscript.</p> <p>In addition to raw survey data, additional supplemental data are provided:</p> <p>1. Coding manual providing definitions for each variable included in the survey dataset in .csv format</p> <p>2. The data analysis code in Stata .do format and PDF format</p> <p>3. The survey instrument in several languages in PDF format</p> <p>4. A detailed description of the survey methodology and data analysis approach in PDF format</p> <p>5. The full results of the survey in tabular form</p> <p>6. Additional figures presenting survey results</p> <p>All data are also available on the website of the Open Science Framework (OSF), along with survey pre-registration data: <a href="https://osf.io/tz7ra/?view_only=4b1bc810ef794f7f9bb57240611989af">https://osf.io/tz7ra/?view_only=4b1bc810ef794f7f9bb57240611989af</a></p>
New indicators of ecological resilience and invasion resistance to support prioritization and management in the sagebrush biome, United States
<p>Ecosystem transformations to altered or novel ecological states are accelerating across the globe. Indicators of ecological resilience to disturbance and resistance to invasion can aid in assessing risks and prioritizing areas for conservation and restoration. The sagebrush biome encompasses parts of 11 western states and is experiencing rapid transformations due to human population growth, invasive species, altered disturbance regimes, and climate change. We built on prior use of static soil moisture and temperature regimes to develop new, ecologically relevant and climate-responsive indicators of both resilience and resistance. Our new indicators were based on climate and soil water availability variables derived from process-based ecohydrological models that allow predictions of future conditions. We asked: (1) Which variables best indicate resilience and resistance? (2) What are the relationships among the indicator variables and resilience and resistance categories? (3) How do patterns of resilience and resistance vary across the area? We assembled a large database (n = 24,045) of vegetation sample plots from regional monitoring programs and derived multiple climate and soil water availability variables for each plot from ecohydrological simulations. We used USDA Natural Resources Conservation Service National Soils Survey Information, Ecological Site Descriptions, and expert knowledge to develop and assign ecological types and resilience and resistance categories to each plot. We used random forest models to derive a set of 19 climate and water availability variables that best predicted resilience and resistance categories. Our models had relatively high multiclass accuracy (80% for resilience; 75% for resistance). Top indicator variables for both resilience and resistance included mean temperature, coldest month temperature, climatic water deficit, and summer and driest month precipitation. Variable relationships and patterns differed among ecoregions but reflected environmental gradients; low resilience and resistance were indicated by warm and dry conditions with high climatic water deficits, and moderately high to high resilience and resistance were characterized by cooler and moister conditions with low climatic water deficits. The new, ecologically-relevant indicators provide information on the vulnerability of resources and likely success of management actions and can be used to develop new approaches and tools for prioritizing areas for conservation and restoration actions.</p>
Text-fig. 40. Scanning electron microscope (SEM) images of "Pollen clump with tricolpate pollen sp. 4"; Catefica locality, Portugal. a) Pollen clump, probably an anther fragment with one kind of pollen grain; b) Detail of pollen clump showing densely packed pollen all of the same kind; c) Pollen grains in equatorial (left) and polar (right) views showing the coarse reticulum in the mesocolpium regions, the striate-reticulate tectum over the polar regions, and the microreticulate to foveolate tectum along the aperture margins; d) Detail of pollen wall showing smooth muri supported by long, densely-spaced columellae; e) Detail of broken pollen wall showing long, densely-spaced columellae detached from the thick foot layer. Specimen, Catefica 50-S170386 (a–e). Scale bars = 600 Μm (a), 20 Μm (b), 6 Μm (c), 1.5 Μm (d, e). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 40. Scanning electron microscope (SEM) images of "Pollen clump with tricolpate pollen sp. 4"; Catefica locality, Portugal. a) Pollen clump, probably an anther fragment with one kind of pollen grain; b) Detail of pollen clump showing densely packed pollen all of the same kind; c) Pollen grains in equatorial (left) and polar (right) views showing the coarse reticulum in the mesocolpium regions, the striate-reticulate tectum over the polar regions, and the microreticulate to foveolate tectum along the aperture margins; d) Detail of pollen wall showing smooth muri supported by long, densely-spaced columellae; e) Detail of broken pollen wall showing long, densely-spaced columellae detached from the thick foot layer. Specimen, Catefica 50-S170386 (a–e). Scale bars = 600 Μm (a), 20 Μm (b), 6 Μm (c), 1.5 Μm (d, e).
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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.