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3,481
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3,481 results for “data set”
HPCG Power Usage Data Set
<p>Node-level power samples for the HPCG benchmark workload running on 96 nodes of the Mutrino HPC system at Sandia.</p>
Supporting data set for: Sulfur-deficient edges as active sites for hydrogen evolution on MoS2
<p>Computed structures of the elementary steps of hydrogen evolution on MoS2 edges and basal plane, obtained with neutral supercells.</p><p>Naming convention: POSCAR-[system]-[number of H after Volmer step]-[reaction]-[state].</p>
Data set for analyzing scaling and criticality in large-scale social systems regulated by global factors
<ul><li><strong>Research information</strong>:<ul><li>Title: Scaling and criticality in large-scale social systems regulated by global factors</li><li>Abstract: How do individuals in large-scale social systems behave in response to global factors and what kinds of macroscopic dynamics will emerge as consequences? Here we conduct a naturalistic observation of the daily consumer behaviours of 190,000 individuals from January 2018 to December 2022, extracting the long-term consumption dynamics of about 6000 types of commodities from approximately 2.2 million purchase orders. The consumption dynamics is subdivided into trend, seasonal, and random components, whose dynamic processes across scales are analyzed by a renormalization group. we discover that the coronavirus pandemic, an exogenetic factor acting on the social system, regulates the scaling and criticality of consumption dynamics. On a large time scale, the long-term dynamics of the system, regardless of arising from trend, seasonal, or random individual behaviours, is pushed towards a boundary between independent and correlated phases as the pandemic erupts. On a smaller time scale, short-term consumption dynamics exhibits more diversities in response to the pandemic. While the trend and random behaviours of individuals are driven to quasi-criticality and exhibit scale-invariance as the pandemic breaks out, seasonal behaviours are more robust against regulations. Overall, our study provides insights into the regulation mechanisms of global factors on the dynamics of large-scale and heterogeneous social systems.</li></ul></li><li><strong>Data set description</strong>:<ul><li>RawData: A csv file for approximately 2.2 million times purchase orders made by around 190,000 individuals before, during, and after the outbreak of coronavirus disease 2019 (COVID-19). </li><li>ConsumptionDynamics: A csv file that describes the daily evolution of the consumption frequencies for approximately 6,000 types of commodities. Each row denotes an extracted time series that measures the number of times a commodity is purchased each day. Each column denotes a single day.</li><li>Note that the names of commodities in current data set are writen in Chinese. </li></ul></li></ul><p> </p><p> </p>
Branching tidal creek networks morphology data set
<p>Data and codes used in the paper entitled "The origin of branching in tidal creek networks".</p>
TOF data set
<p>Complementary Time of Flight data to: <a href="https://zenodo.org/doi/10.5281/zenodo.6611419">10.5281/zenodo.6611419</a><br><strong>Published in article: </strong>Technique for the measurement of intrinsic pulse-shape discrimination for organic scintillators using tagged neutrons, https://doi.org/10.1016/j.nima.2022.167141</p><p>Files:</p><ul><li><strong>data_load.py</strong> - python script with examples on how to load and visualize the data.</li><li><strong>processing_library.py</strong> - a library with functions used to load and manipulate data.</li><li><strong>NE213A_data.pkl </strong>- TOF data for NE213A scintillator in pickle format data to be opened with pandas (50 hour total)</li><li><strong>EJ305_data.pkl</strong> - TOF data for EJ305 scintillator in pickle format data to be opened with pandas (50 hour total)</li></ul><p>The data is sorted in to event-by-event into the following columns:</p><ul><li><strong>samples_ch1</strong> - an array with the waveform in units of ns.</li><li><strong>qdc_lg_ch1 </strong>- integrated pulse values over 500 ns gate</li><li><strong>qdc_sg_ch1 </strong>- integrated pulse values over 60 ns gate</li><li><strong>tof_ch2</strong> - time-of-flight data in units of seconds. Distance given in article.</li><li><strong>tofE_ch2</strong> - kinetic energy of neutron converted from TOF <strong>tof_ch2</strong> data, in units of MeV.<br> </li></ul>
Pre-Processed Data Sets for Marine Spatial Planning of a Wave-Powered Aquaculture Farm in the Northeast U.S.
<p>These data sets are intended for marine spatial planning applications including the modeling of wave-powered aquaculture farms. They work in tandem with the Python model developed by the SEA Lab to evaluate potential sites for this development in the Northeastern U.S. The code for this model is available on GitHub at <a href=" https://github.com/symbiotic-engineering/aquaculture">https://github.com/symbiotic-engineering/aquaculture</a>, and details about the data and model are discussed in several related publications.</p>
Simulation data-set for ApJ Article: "Confinement of the Solar Tachocline by a Non-Axisymmetric Dynamo"
<p>This dataset contains the input files (including a last Checkpoint snapshot, so the simulation can be restarted), and basic simulation information (Rayleigh data products, time-averaged data products, and basic plots) for each of the 12 simulations discussed in the ApJ journal article, "Confinement of the Solar Tachocline by a Non-Axisymmetric Dynamo". Each simulation has a separate .zip file that can be downloaded either on its own or together with the rest of the simulation suite. The structure and contents of the resulting directory (after unzipping) is described in detail in the "README" .pdf document. </p><p>Note that the magnetic cases have custom diagnostic outputs and the main_input file (as directly given here) must be run using Loren Matilsky's personal branch of the code:<a href=" https://github.com/illorenzo7/Rayleigh/tree/meprodsubcurvnobinrz"> https://github.com/illorenzo7/Rayleigh/tree/meprodsubcurvnobinrz</a>. Otherwise, the MHD cases can be run with the current main branch of the Rayleigh code (<a href="https://github.com/geodynamics/Rayleigh">https://github.com/geodynamics/Rayleigh</a>), as long as some small modifications to the main_input file (described in the "README" document) are made first. </p>
Data set for "Reconciling High-resolution Strain Rate of Continental China from GNSS Data with the Spherical Spline Interpolation"
<p>Data set for "Reconciling High-resolution Strain Rate of Continental China from GNSS Data with the Spherical Spline Interpolation". And This database contains GNSS velocity and strain rate field data for mainland China obtained by the spherical spline method. Also, we include the sub-graph data for each graph of the manuscript "Reconciling High-resolution Strain Rate of Continental China from GNSS Data with the Spherical Spline Interpolation". We have detailed the meaning and format of each data in the "readme.txt", and a separate "readme.txt" is included in each zip.</p>
Data Set of Paper on An Architecture Model-Based Framework for Continuous Data Protection Legal Assessments
<p>Data Set of Paper "An Architecture Model-Based Framework for Continuous Data Protection Legal Assessments".<br>The data set contains illustrations of the example used for evaluating accuracy, including all variations, and model instances of the case studies used for evaluating applicability.</p>
Low-Temperature Vacuum Evaporation of Ammonia from Pig Slurry at Laboratory and Pilot-Plant Scale (Data sets)
Open the record for dataset details and reuse information.
A data set for predicting pre-term birth.
<p>A data set for predicting pre-term birth.</p>
Complete Data Set for the Master Thesis: Acceptance of Robotics in Tourism
<p>Complete data set for the master thesis "Acceptance of Robotic Technology in Tourism" including the SPSS file. </p><p><strong>Abstract</strong></p><p>Robotics, artificial intelligence, and automation have undergone significant evolution across various industries, from manufacturing to healthcare. The tourism industry is also embracing these technological advancements, accelerated by factors such as the global pandemic and labor shortages. Despite their transformative potential, the academic exploration of robots in tourism remains limited, particularly regarding customer attitudes and acceptance.</p><p>This master thesis addresses the gap in research by investigating the acceptance of robots in the tourism industry. The study aims to identify the factors influencing acceptance, explore potential initiatives for increased acceptance over time, and highlight challenges in integrating robotics into tourism. The research questions guide the exploration of these facets. The literature review reveals a scarcity of research on robot acceptance in tourism, with existing studies often focusing on engineering aspects rather than social science perspectives. To address this topic, this thesis formulates a comprehensive research goal, seeking to understand the factors shaping acceptance and offering insights into the opportunities and challenges of robot integration in tourism. The thesis then explores the fundamental aspects of robotics and their potential applications in tourism, presenting a micro, meso, and macro level analysis. A hypothesis model is developed based on prior research, laying the groundwork for data collection through surveys in three distinct scenarios. Upon gathering and processing the survey data using SPSS, the results are analyzed, with a focus on influencing factors affecting robot acceptance. The findings are compared to established models such as TAM, UTAUT, and the Service Robot Acceptance Model.</p><p>Keywords: robotics, artificial intelligence, adoption, technology acceptance model, tourism, perceived usefulness, perceived ease of use, anthropomorphism </p><p><strong>Use not permitted without permission of the author.</strong></p>
Critical analysis of life cycle inventory datasets for organic crop production systems (Data sets)
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Selection and application of agri-environmental indicators to assess potential technologies for nutrient recovery in agriculture (Data Sets)
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Assessment of social aspects across Europe resulting from the insertion of technologies for nutrient recovery and recycling in agriculture (Data Sets)
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The data set and supporting information
<p>This code calculates the transmission coefficient of OPE-molecules based molecular junctions.</p>
Data set for "Photoelectrochemical Schlenk cell functionalization of multi-junction water-splitting photoelectrodes"
<p>The data set is organised along the figures of the publication.</p> <ul> <li>The '.ers' and '.ert' files are reflection anisotropy spectra and and transients, respectively, in the native format of Laytec's EpiRAS.</li> <li>The '.xy' files are XPS data in the export format of SpecsLab Prodigy.</li> <li>The electrochemistry data is in the '.txt' file format "Zahner Online Display data file version: 2" exported from the Zahner ZenniumPro potentiostat. Currents are absolute currents, For sample areas see the additional file description.</li> </ul>
Röntgen- och ytskiktsundersökning av Buddhaskulpturer från Röhsska museet - XRF data set
<p>Analysis of metal thread and colours on textile, with µXRF ARTAX 800.</p>
Data from: Priority setting for global WASH challenges in the age of wastewater-based epidemiological surveillance
<p>Background: It is not known how the number of deaths due to COVID-19 compare to the number of deaths due to "unsafe water, sanitation, and handwashing" during the COVID-19 global health emergency.</p> <p>Methods: A dataset of deaths due to COVID-19 was downloaded from the World Health Organization. A dataset summarizing deaths due to unsafe water, sanitation, and handwashing was obtained from the Institute for Health Metrics and Evaluation (IHME). </p> <p>Results indicate that COVID-19 deaths in Africa and South East Asia regions exceeded those due to unsafe water, sanitation, and hygiene. </p>
Data set for the publication
<p>Data set for the publication</p> <p>"Network-based analysis of heterogeneous patient-matched brain and extracranial melanoma metastasis pairs reveals three homogeneous subgroups"</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.