Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
8,537
datasets available to search
ShareScore release 0.9.0
Dataset results
8,537 results for “Openness”
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>
EDFU, an Open Syllabification Corpus for Spanish
<p>EDFU, an Open Syllabification Corpus for Spanish</p>
Dataset and scripts for "Sentiment Analysis over Collaborative Relationships in Open Source Software Projects"
<p>Dataset and scripts for "Sentiment Analysis over Collaborative Relationships in Open Source Software Projects".</p> <p>README is included in the files</p>
Dataset and Code for "Mining and Predicting Micro-Process Patterns of Issue Resolution for Open Source Software Projects"
<p>Dataset and Code for "Mining and Predicting Micro-Process Patterns of Issue Resolution for Open Source Software Projects" with README included</p>
Libraries.io Open Source Repository and Dependency Metadata
<p><strong>What is in this release?</strong></p> <p>In this release you will find data about software distributed and/or crafted publicly on the Internet. You will find information about its development, its distribution and its relationship with other software included as a dependency. You will not find any information about the individuals who create and maintain these projects.</p> <p>Further information and documentation on this data set can be found at https://libraries.io/data</p> <p>For enquiries please contact data@libraries.io</p> <p>This dataset contains seven csv files:</p> <p><strong>Projects</strong></p> <p>A project is a piece of software available on any one of the 34 package managers supported by Libraries.io.</p> <p><strong>Versions</strong></p> <p>A Libraries.io version is an immutable published version of a Project from a package manager. Not all package managers have a concept of publishing versions, often relying directly on tags/branches from a revision control tool.</p> <p><strong>Tags</strong></p> <p>A tag is equivalent to a tag in a revision control system. Tags are sometimes used instead of Versions where a package manager does not use the concept of versions. Tags are often semantic version numbers.</p> <p><strong>Dependencies</strong></p> <p>Dependencies describe the relationship between a project and the software it builds upon. Dependencies belong to Version. Each Version can have different sets of dependencies. Dependencies point at a specific Version or range of versions of other projects.</p> <p><strong>Repositories</strong></p> <p>A Libraries.io repository represents a publically accessible source code repository from either github.com, gitlab.com or bitbucket.org. Repositories are distinct from Projects, they are not distributed via a package manager and typically an application for end users rather than component to build upon.</p> <p><strong>Repository dependencies</strong></p> <p>A repository dependency is a dependency upon a Version from a package manager has been specified in a manifest file, either as a manually added dependency committed by a user or listed as a generated dependency listed in a lockfile that has been automatically generated by a package manager and committed.</p> <p><strong>Projects with related Repository fields</strong></p> <p>This is an alternative projects export that denormalizes a projects related source code repository inline to reduce the need to join between two data sets.</p> <p><strong>Licence</strong></p> <p>This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International Licence.</p> <p>This licence provides the user with the freedom to use, adapt and redistribute this data. In return the user must publish any derivative work under a similarly open licence, attributing Libraries.io as a data source. The full text of the licence is included in the data.</p> <p><strong>Access, Attribution and Citation</strong></p> <p>The dataset is available to download from Zenodo at https://zenodo.org/record/2536573.</p> <p>Please attribute Libraries.io as a data source by including the words ‘Includes data from Libraries.io, a project from Tidelift’ and reference the Digital Object identifier: 10.5281/zenodo.3626071</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>
Scaling the Paywall: How Unpaywall Improves Open Access
<p><strong>Episode Summary:</strong></p> <p>In this episode we are discussing Unpaywall. Unpaywall is a database and browser extension that legally searches for Open Access versions of research papers. Our interview guest will be Heather Piwowar who co-developed and manages Unpaywall. We will cover how and why Unpaywall was developed, and the issues with current Open Science tools.</p> <p><strong>Resources and Links:</strong></p> <ul> <li><a href="http://unpaywall.org/">http://unpaywall.org/</a></li> <li><a href="https://twitter.com/researchremix">Heather Piwowar Twitter</a></li> <li><a href="https://impactstory.org/">Impact Story</a></li> <li>Nature article: <a href="https://www.nature.com/articles/d41586-018-05968-3?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf195583441=1">How Unpaywall is transforming open science</a></li> </ul> <p><strong>Episode Quotes:</strong></p> <p>“It is cool to see the green unlock icon, which if you click it takes you immediately to a free article, right beside a big box on a publisher’s page that says ‘$39 to view’. It feels like we are really unlocking the power of Open Access”.</p>
Rewriting Diversity: Editing Wikipedia and Opening Science
<p><strong>Episode Summary:</strong></p> <p>The podcast this episode will report directly from an ‘Edit-a-thon’ that aims to celebrate International Women’s Day 2019 by improving diversity on Wikipedia pages. The podcast will investigate what the challenges to diversity in science are and how the Open Science movement can help.</p> <p><strong>Organising Institutions:</strong></p> <p><a href="https://www.mdc-berlin.de/">Max Delbrück Center for Molecular Medicine (MDC)</a>, <a href="https://www.bihealth.org/en/">Berlin Institute of Health</a><a href="https://www.bihealth.org/en/"> (BIH)</a>, <a href="https://www.charite.de/en/">Charité Universitätsmedizin Berlin,</a> and <a href="https://www.leibniz-fmp.de/home.html">Leibniz Forschungsinstitut für Molekulare Pharmakologie (FMP)</a></p> <p><strong>Interviewees:</strong></p> <p><a href="https://twitter.com/karinhoehne">Dr Karin Höhne</a></p> <p><a href="https://en.wikipedia.org/wiki/Jess_Wade">Dr Jess Wade</a></p> <p><a href="https://www.linkedin.com/in/alice-white-61897a2a/?originalSubdomain=uk">Dr Alice White</a></p> <p><a href="http://fmp-berlin.academia.edu/WingYingChow">Dr Wing Ying Chow (Ying)</a></p> <p>Steph (Attendee and Science Communicator)</p> <p><strong>Links: </strong></p> <p><a href="https://www.bbc.com/news/technology-32412121">How to Edit a Wikipedia Page</a> - BBC Article</p> <p><a href="https://wellcomelibrary.org/">Wellcome Library</a></p> <p><a href="https://en.wikipedia.org/wiki/Inferior_(book)">Inferior, Angela Saini</a> (The book that inspired Jess Wade)</p> <p><a href="https://medium.com/@denalbz/reimagining-open-science-through-a-feminist-lens-546f3d10fa65">Reimagining Open Science Through a Feminist Lens</a></p> <p><strong>Quotes: </strong></p> <p>'We have so many women doing incredible work so we just wanted to make them visible'</p> <p>'Men's work is more likely to accepted and more likely to be cited'</p> <p>'One of the things that excites me about Wikipedia is that it is a great gateway for people who might never have clicked on a journal article'</p> <p>'Anything you can do in your pyjamas is a good thing'</p>
Open Science and Career Pathways
<p><strong>Episode Summary:</strong></p> <p>In this episode we are discussing researcher career options and how open science can have career benefits. Our interview guest will be <a href="https://www.vitae.ac.uk/events/event-presenters/dr-janet-metcalfe">Dr Janet Metcalfe</a> who is the Head of Vitae, an organisation supporting researcher professional development. We will cover the challenges researchers face in modern academia, the surprising truth about changing career paths, and how Open Science can benefit research career progression. </p> <p><strong>Resources and Links:</strong></p> <ul> <li><a href="https://www.vitae.ac.uk/%20">Vitae</a></li> <li><a href="https://qz.com/547641/theres-an-awful-cost-to-getting-a-phd-that-no-one-talks-about/">Cost of Getting a PhD (Article)</a></li> </ul> <p><strong>Episode Quotes:</strong></p> <p>“People, when they are doing their PhD, they tend to measure their PhD in terms of the research results at the end of it, but actually the most important product of a PhD is the person.”</p>
dbMMR-Chinese database: the open-access database for variants in mismatch repair genes in Chinese population
<p>Mutation in mismatch repair genes (MMR) is the genetic predisposition for gastrointestinal cancer represented by the Lynch Syndrome. Identification of the mutation carrier is critical in prevention and treatment of the cancer. Chinese is the largest ethnic population with the largestgastrointestinal cancer cases in the world, but systematic knowledge for the mutation in MMR is lack in Chinese population. Through comprehensive data mining, we collected nearly all MMR data derived from 33,998 Chinese of 23,938 cancer and 10,060 non-cancer cases reported from 1997 to 2019. Upon standardization and re-annotation, the data following international standards, we identified a total of 540 distinct MMR variants including 487 single base change and indel, and 53 large deletion/duplication in four MMR genes of <em>MLH1</em>, <em>MSH2</em>, <em>MSH6</em>and <em>PMS2</em>; 153 of the variants were classified as Pathogenic or Likely Pathogenic. This MMR dataset is the largest collection from a single, non-Caucasian population. We developed an open-access database, dbMMR-Chinese (<a href="https://dbmmr-chinese.fhs.um.edu.mo/">https://dbMMR-chinese.fhs.um.edu.mo</a>), to share with community for MMR mutation-related cancer study and clinical application.</p>
PyonAir: An open design, open source, air quality monitor for community driven particulate matter sensing.
<p>This dataset present some of the data recorded by two low-cost PM sensors, a Plantower PMS5003 and a Sensirion SPS030 located at Southampton AURN reference station on the 2nd December 2019 between 17:00 and 22:00 during a fire that occurred in the city. It also present the data from the Fidas 200, averaged every 15min also located at the AURN station.</p> <p>The file SPS_PMS_fire.csv contain the following rows:</p> <ul> <li>date</li> <li>pm25 - PM<sub>2.5</sub> mass concentration in ug/m<sup>3</sup></li> <li>sensor - Serial number of the sensor</li> <li>site - name of the location of the sensor</li> </ul> <p>The file fidas_15min.csv contains the following rows:</p> <ul> <li>date</li> <li>PM2.5 - PM<sub>2.5</sub> mass concentration in ug/m<sup>3</sup></li> </ul> <p> </p>
Hindsight is 2020: Reviewing How the ORION Project Impacted Open Science
<p><strong>Episode Summary: </strong></p> <p>Season 2 is here! We start by looking back at the last year, and talking for the first time about the Open Science project that we are part of ORION. In particular, we consider the aim and impact of Open Science training and interview two participants: Malte Schäfer from TU Braunschweig and Dr Deirdre Winrow from University College Dublin, from our workshop and our MOOC. </p> <p><strong>Links:</strong></p> <ul> <li><a href="http://tiny.cc/ORIONMOOC2">Enroll in the MOOC 2.0</a></li> <li><a href="https://www.orion-openscience.eu/publications/training-materials">ORION Training Materials</a></li> <li><a href="https://www.orion-openscience.eu/activities/training">ORION Training Workshops</a></li> </ul> <p><strong>Quotes: </strong></p> <p>"He radicalised me"</p> <p>"It gives them space to reflect on Open Science"</p> <p>"The system of science has changed"</p>
A New Normal: How the Center for Open Science is Changing How Science is Done
<p><strong>Episode Summary: </strong></p> <p>In this episode we talk to Dr Brian Nosek about the work of the Center for Open Science. We discuss how to shift expectations of what is the norm is science, preregistration, networks, and the impact of a digital society on scientific practice. </p> <p><strong>Episode Links:</strong></p> <p><a href="https://cos.io/">Center for Open Science</a></p> <p><a href="https://twitter.com/OSFramework">@OSFramework</a></p> <p><a href="http://projectimplicit.net/nosek/">Brian Nosek</a></p> <p><a href="https://twitter.com/BrianNosek">@BrianNosek </a></p>
Are We Doing Good? Discussing Open Science and Scientific Practice at the Doing Good Conference
<p><strong>Episode Summary: </strong></p> <p>In this week's episode we report on a recent symposium: Doing Good: Scientific Practice Under Review. There are interviews and impressions from the organisers and attendees who discuss why Open Science is good science, what the current state of play is, and what researchers need in order to make positive changes for the better. </p> <p><strong>Episode Links:</strong></p> <p><a href="https://www.cbs.mpg.de/doing-good">Symposium Program and Slides</a></p> <p><a href="https://twitter.com/doinggood_symp">Symposium Twitter</a></p> <p><strong>Episode Quotes: </strong></p> <p>"Are we doing good? That's the question we are asking in the symposium and asking from different perspectives". </p>
Compound Interest: Discussing the EU Open Screen Project at the MDC
<p><strong>Episode Summary</strong></p> <p>In this episode we talk to Dr. Jens Peter von Kries and Dr Katja Herzog from the Max-Delbrück-Center for Molecular Medicine (MDC) about their work on the open access technology platform EU Open Screen Project. </p> <p><strong>Episode Links</strong></p> <p><a href="https://www.mdc-berlin.de/screening-unit">EU Open Screen MDC</a></p> <p><a href="https://www.eu-openscreen.eu/">EU Open Screen </a></p> <p><strong>Quotes</strong></p> <p>"From bench to bedside, this really shows that from academia there is really a chance to help people in the clinics"</p>
The FAIR is in Town: figshare, The Turing Way, and Open Science Quest at the OSFAIR2019
<p><strong>Episode Summary:</strong> </p> <p>In this episode we are highlighting some of the tools on show at the Open Science FAIR 2019 in Porto, Portugal. </p> <p><strong>Links: </strong></p> <ul> <li><a href="https://figshare.com/">figshare</a> <ul> <li><a href="https://figshare.com/authors/Alan_Hyndman/580840">Alan Hyndman</a></li> </ul> </li> <li><a href="https://the-turing-way.netlify.com/introduction/introduction">The Turing Way Book</a></li> <li><a href="https://github.com/alan-turing-institute/the-turing-way">The Turing Way GitHub </a> <ul> <li><a href="https://www.research.manchester.ac.uk/portal/rachael.ainsworth.html">Rachael Ainsworth</a></li> </ul> </li> <li><a href="https://zenodo.org/record/2646121#.XYJVASgzZPY">Open Science Quest</a> <ul> <li><a href="https://twitter.com/jonatortue">Jonathan England</a></li> </ul> </li> </ul> <p><strong>Quotes:</strong></p> <p>'So two reasons: because you have to and just because it is for the good of society'</p> <p>'Make reproducible research too easy not to do'</p> <p>'I wanted to change the way people became aware of Open Science best practices'</p>
A Skeptic's Guide to Open Science: Steven Novella on tackling biases, publication noise, and pseudoscience
<p><strong>Episode Summary: </strong></p> <p>Our guest this week is the influential skeptic Professor Steven Novella who is the producer and co-host of the very successful podcast A Skeptic's Guide to the Universe and author of a book by the same name. Novella is also an American clinical neurologist and assistant professor at Yale University School of Medicine. In this episode he talks to us about his views on how best to promote Open Science in medicine, the challenges of creating a new publication method, and the importance of communicating science to the public. </p> <p><strong>Links:</strong></p> <p><a href="https://www.theskepticsguide.org/podcasts">A Skeptic's Guide to the Universe Podcast</a></p> <p><a href="https://www.theskepticsguide.org/our-book">A Skeptic's Guide to the Universe: How to Know What’s Really Real in a World Increasingly Full of Fake Book</a></p> <p><em>Steven Novella:</em></p> <ul> <li><a href="https://twitter.com/stevennovella?lang=en">Twitter</a></li> <li><a href="https://medicine.yale.edu/neurology/people/steven_novella.profile">Yale Profile</a></li> </ul> <p><strong>Episode Quotes:</strong></p> <p>"They are uncomfortable with anything that is in and of itself pseudoscience because they think it taints them"</p> <p>"It doesn't really matter what you say your priorities are, your priorities are whatever it is that you promote people for"</p> <p>"We have an opportunity to completely rethink how we publish science"</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.