Dryad - Repository for data underlying scientific publications, based on the DSpace platform

  •        421

Dryad is a repository for data underlying scientific literature. Dryad allows investigators to validate published findings, explore new analysis methodologies and repurpose the data for research questions unanticipated by the original authors. The core code of Dryad comes from the DSpace repository software. It is a general-purpose repository that makes the data underlying scientific publications discoverable, freely reusable, and citable.

https://github.com/datadryad/dryad-repo
http://code.google.com/p/dryad

Tags
Implementation
License
Platform

   




Related Projects

dvn - Access to the Dataverse Network APIs from R


Many dataverse servers now use Dataverse version 4.0 or greater. A separate package, dataverse, is being developed to work with these newer installations.The dvn package for R integrates public data sharing into the reproducible research workflow. As such, dvn provides access to both the Data Sharing API and the Data Deposit API for the Dataverse Network online data repository system. The Data Sharing API enables searches of any public dataverse, returning study and file metadata. Limited support is also provided for data download, when terms of use allow direct download of public data.

Survey-Droid


Social science research has traditionally required data that is difficult to gather; by using smartphones as data collection tools we can overcome the methodological limitations that have hampered social science research and kept important questions from being answered. Survey Droid solves this by offering researches a fully customizable system for gathering information for just about any population. The system consists of an Android app and a web iterface to control it. The Android applicati

DataScienceVM - Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)


The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft’s Azure cloud built specifically for doing data science. It has many popular data science and other tools pre-installed and pre-configured to jump-start building intelligent applications for advanced analytics. It is available on Windows Server 2016, Windows Server 2012, and on Linux. We offer Linux edition of the DSVM in either Ubuntu 16.04 LTS or on OpenLogic 7.2 CentOS-based Linux distributions. You can try the Data Science VM for free for 30 days (with $200 credits) with a free Azure Trial. The Linux (Ubuntu-based) DSVM also provides a test drive through a button on the product page. The Test Drive will provide full access to you own instance of the VM with just a free Microsoft account (No Azure subscription or CC needed).On this repo, we will feature tools, tips and extensions (see below) to the Data Science VM. We invite the DSVM user community to contribute any useful tools or scripts, extensions you may have written to enhance the user experience on the DSVM.

rdryad - R client for Dryad web services


rdryad is a package to interface with the Dryad data repository.

zenodo - Deposit data (or any research object) into Zenodo


Zenodo is an open repository for scientific data based at CERN in Swizerland. Zenodo facilitates researchers to share and preserve any research outputs in any size, any format and from any science. Zenodo also mints DOIs.Then add the following line to your .rprofile. You can also pass this explicitly to every function, but exposing the token will compromise your account.



qtrn - A cli tool to streamline financial markets data analysis


The official cli tool for making financial markets analysis as fast as you are.If your $GOPATH is configured, and git is setup to know your credentials, in a few moments the command should complete with no output. The repository will exist under $GOPATH/src/github.com/FlashBoys.

Insight Segmentation and Registration Toolkit


ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.

Azure-TDSP-Utilities - Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science


This repository contains the Data Science Utilities developed by Team Data Science Process (TDSP) from Microsoft.Shared data science utility is a key component of TDSP. Shared data science utilities can make the execution of data science projects more efficient.

KnowledgeSharingPlatform - K# - Knowledge Sharing Platform


The Knowledge Sharing Platform (K#) is a platform that aims to develop a sophisticated enterprise knowledge graph using a wide variety of large-scale data sources. To realise this platform, we are developing a set of components for collecting, extracting, transforming, integrating, and updating knowledge sources.

iEden


Whole suite of site/service/client applications to provide individual or small party data sharing system, which is based on knowledge collection and analysis. Also provide easy and automatic ways to share and exchange data.

Azure-TDSP-ProjectTemplate - Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration


This is a general project directory structure for Team Data Science Process developed by Microsoft. It also contains templates for various documents that are recommended as part of executing a data science project when using TDSP.Team Data Science Process (TDSP) is an agile, iterative, data science methodology to improve collaboration and team learning. It is supported through a lifecycle definition, standard project structure, artifact templates, and tools for productive data science.

citation - paper citation research


paper citation research

data-science-ipython-notebooks


Continually updated Data Science IPython Notebooks.This repo is a collection of IPython Notebooks I reference while working with data. Although I developed and maintain most notebooks, some notebooks I reference were created by other authors, who are credited within their notebook(s) by providing their names and/or a link to their source.For detailed instructions, scripts, and tools to more optimally set up your development environment for data analysis, check out the [data-dev-setup](https://g

Microsoft-TDSP - Repository for Microsoft Team Data Science Process containing documents and scripts


For execution of data science projects, TDSP provides guidelines on how to structure collaborative teams and tasks for data science projects, and execute data science projects using Agile planning and version control.To perform certain stages of a data science project efficiently and semi-automated manner, TDSP also provides data exploration and (semi)automated modeling tools in R and Python. These also provide standardized reports or artifacts.

research - data and analysis from my research


data and analysis from my research

Data-Science - Data Science Class Repository


Data Science Class Repository

coursera-data-science - coursera data science homework repository


coursera data science homework repository

LearnAnalytics-mr4ds - R and Microsoft R Workflows for Data Science


Welcome to the Microsoft R for Data Science Course Repository. You can find the latest materials from the workshop here, and links for course materials from prior iterations of the course ca be found in the version pane. While this course is intended for data scientists and analysts interested in the Microsoft R programming stack (i.e., Microsoft employees in the Algorithms and Data Science group), other programmers might find the material useful as well.Please refer to the course syllabus for the full syllabus. The goal of this course is to cover the following modules, although some of the latter modules may be repalced for a hackathon/office hours.

climate_model - Exploratory repository for time series analysis for climate research


Exploratory repository for time series analysis for climate research