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747
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Dataset results
747 results for “Open Data”
Data from: Building communities of teaching practice and data-driven open education resources with NEON faculty mentoring networks
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Data from: Digitizing extant bat diversity: an open-access repository of 3D μCT-scanned skulls for research and education
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Data from: Effect of valve opening on starting performance of pump as turbine
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Data for: Integrated multi-trophic aquaculture with sugar kelp and oysters in a shallow coastal salt pond and open estuary site
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Mapping built infrastructure in semi-arid systems using data integration and open-source approaches for image classification
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Data for: Open COVID Trials (OCT) Project
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Data from: Assessing species boundaries in the open sea: an integrative taxonomic approach to the pteropod genus Diacavolinia
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Data from: A phylogenomic framework for pelagiarian fishes (Acanthomorpha: Percomorpha) highlights mosaic radiation in the open ocean
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Data from: Multiple canopy opening effects on recruited saplings in a typhoon-disturbed tropical rainforest, Taiwan
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Data from: Open notes sounds great, but will a provider’s documentation change?
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Data from: The BumbleBox: An open-source platform for quantifying behavior in bumblebee colonies
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Factors influencing open government data post-adoption in the public sector: The perspective of data providers
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Data from: Exploratory and confirmatory research in the open science era
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Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologie
<p>This file contains the sources that were used to create the feature comparison in "Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies".</p>
Data from: Predictive mapping of the global power system using open data
<p>Three primary global data outputs from the research:</p> <ul> <li><strong>grid.gpkg:</strong> Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column</li> <li><strong>targets.tif:</strong> Binary raster showing locations predicted to be connected to distribution grid. </li> <li><strong>lv.tif:</strong> Raster of predicted low-voltage infrastructure in kilometres per cell.</li> </ul> <p>This data was created with code in the following three repositories:</p> <ul> <li>https://github.com/carderne/gridfinder</li> <li>https://github.com/carderne/predictive-mapping-global-power</li> <li>https://github.com/carderne/access-estimator</li> </ul> <p>Full steps to reproduce are contained in this file:</p> <ul> <li>https://github.com/carderne/predictive-mapping-global-power/blob/master/README.md</li> </ul> <p>The data can be visualized at the following location:</p> <ul> <li>https://gridfinder.org</li> </ul>
Open source physiological data and physiological-based kinetic model code for the chicken (Gallus gallus domesticus)
<p>This excel file and mode code (DOI:10.5281/zenodo.3603114) provides:</p> <p>1. Physiological parameters and associated inter-individual variability (sample size, mean, coefficient of variation,) for chicken (<em>Gallus gallus domesticus</em>). These physiological parameters were estimated based on the results of extensive literature searches and specific experimental data described in Lautz et al., (2020).</p> <p>2. An R code for the generic chicken physiologically based model as well as the “soboljansen” code to carry out sensitivity analysis using sobol plots. The code for the generic model allows to run:</p> <p>a. A deterministic PBK model which represents only a single animal.</p> <p>b. A probabilistic PBK model to simulate individual differences in physiological parameters within a population. Sensitivity analyses can be performed to identify which parameters have the most impact on the model’s outputs. Predictions can be compared with experimental data. The model can be used to assess the influence of physiological parameters on the kinetics of chemicals. For PBK modelling purposes, species and chemical specific kinetics (e.g clearance, absorption rate, etc…) should be provided by the user.</p> <p>The full data collection and implementation of the models using case studies are described in (Lautz et al., 2020).</p> <p><strong>The dataset providing the physiological parameters is available in Excel.<br> The R code is presented as meta data to be implemented in R.</strong></p>
NYC Open Data (Finance) - D4 Evaluation Datasets
<p><a href="https://opendata.cityofnewyork.us/">NYC Open</a> Finance data used for the evaluation of our data-driven domain discovery algorithm (D4). This repository contains 176 tables that were downloaded on 2016-11-22 from the <a href="http://api.us.socrata.com/api/catalog/v1">Socrata Open Data API</a>.</p> <p> </p>
NYC Open Data (Education) - D4 Evaluation Datasets
<p><a href="https://opendata.cityofnewyork.us/">NYC Open</a> Education data used for the evaluation of our data-driven domain discovery algorithm (D4). This repository contains 201 tables that were downloaded on 2016-11-22 from the <a href="http://api.us.socrata.com/api/catalog/v1">Socrata Open Data API</a>.</p> <p> </p>
Open Data: FAIR, foul, and meta
<p><strong>Episode Summary: </strong></p> <p>In this episode we are discussing what metadata is, the obstacles to sharing research data, and how Open Science recommendations are being transformed into actions. Our interview guest will be Professor Eva Mendez from Universidad Carlos III in Madrid who is the Chair of the European Open Science Policy Platform.</p> <p><strong>Links:</strong></p> <p><a href="https://www.orion-openscience.eu/publications/training-materials/201808/factsheets">Factsheets (Open Data and Data Management)</a></p> <p><a href="https://uc3m.academia.edu/EvaM%C3%A9ndez/CurriculumVitae">Professor Eva Mendez</a></p> <p><a href="https://ec.europa.eu/research/openscience/index.cfm?pg=open-science-policy-platform">Open Science Policy Platform</a></p> <p><strong>Quotes:</strong></p> <p>'Open doesn't necessarily mean FAIR'</p>
On Strong Scaling and Open Source Tools for Analyzing Atom Probe Tomography Data
<p>This repository contains supplemental results to the paper "On Strong Scaling and Open Source Tools<br> for Analyzing Atom Probe Tomography Data".</p> <p>Specifically, the input parameter and result files from all synthetic benchmark studies.<br> The results file for all synthetic specimen benchmark studies are available from the<br> authors upon serious request.</p> <p><strong>The repository content is as follows:</strong></p> <p><strong>Real world data:<br> Three triplets of *.tar.gz archive files document the settings and analysis files for the real world case studies</strong><br> 3013902 is the incipient specimen,<br> 2763207 the intermediate specimen, and<br> 3345501 the mature specimen.</p> <p><strong>Scripts.zip</strong><br> Contains all batch scripts we used for performing the analyses as a queue</p> <p><strong>Synthetic data:</strong></p> <p><strong>APTCrystallography.zip</strong><br> Contains all results from the benchmarking of the reimplemented Vicente Araullo-Peters et al. method</p> <p><strong>FullVolumeTessellation.zip</strong><br> Contains all results from the benchmarking of the Voro++ Voronoi volume tessellation method except for the HDF5/XDMF volume tessellation files of the 200 and 2000 million ion datasets</p> <p><strong>TwoPointStatistics.zip</strong><br> Contains all results from benchmarking the computing of 2-point spatial statistics</p> <p><strong>TipSurfaceDescrSpatialStatistics.zip</strong><br> Contains all results from benchmarking the alpha shape computation, descriptive spatial statistics, and clustering analyses</p> <p><strong>PARAPROBE.Results.2Mio.tar.gz<br> PARAPROBE.Results.20Mio.tar.gz</strong><br> <strong>PARAPROBE.Results.200Mio.tar.gz</strong><br> Contains all settings files and some results from benchmarking the hybrid implementation.</p> <p><strong>Unpack the individual repositories using tar through Linux console as follows:</strong><br> tar -xvf <archivename> <br> where <archivename> is a placeholder for the respective tar gz compressed archives within the ZIP file.<br> Alternatively WinRAR can be used on a Windows system.</p> <p><strong>We would kindly like to ask you to use the following repository<br> to access source code of PARAPROBE in the future:</strong></p> <p><strong>https://gitlab.mpcdf.mpg.de/mpie-aptfim-toolbox/paraprobe<br> https://paraprobe-toolbox.readthedocs.io/en/latest/</strong><br> <br> <strong>Only above repository will be updated in the future! </strong><br> <strong>Only there new code additions and bugfixes are posted!<br> The examples folder of this repository contains a folder examples/tasks/paper14 which shows how<br> to run a workflow of paraprobe tools from this above repository to run analyses akin as reported in this paper.</strong></p> <p>Recommendations and bug reports to M. Kühbach are appreciated! Happy APT analyzing!</p> <p>------------------------------------------------------------------------------------------------------------------------------------------------------------------------<br> <strong>The PARAPROBE source code version we used for analyzing the synthetic and real world APT<br> specimens in the paper used an earlier development version of the PARAPROBE tool, the source code</strong><br> <strong>is here:</strong></p> <p>PARAPROBE_20190117_VersionUsedForPaper.zip</p> <p>https://github.com/mkuehbach/PARAPROBE<br> https://paraprobe.readthedocs.io/en/latest/</p> <p> </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.