This archive contains all pre-print manuscript versions prior to actual publication in peer-reviewed journals, with associated data sets. This collection also includes contributions to conferences.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

3,871 to 3,878 of 3,878 Results
16ja079_fig7c_data.h5
May 10, 2018 - Design and operation of a high-heat flux, flush-mounted ‘rail’ Langmuir probe array on Alcator C-Mod.
Hierarchical Data Format - 41.5 KB - MD5: 686d6d1d212d25b6ae6f4b632d34e8ec
A general purpose tool-set for representing data relationships: Converting data into knowledge
A general purpose tool-set for representing data relationships: Converting data into knowledge
May 4, 2018
Joshua Stillerman, Thomas Fredian, Martin Greenwald, John Wright, 2018, "A general purpose tool-set for representing data relationships: Converting data into knowledge", https://doi.org/10.7910/DVN/SHYWLB, Harvard Dataverse, V1
Rich metadata is required to find and understand the recorded measurements from modern experiments with their immense and complex data stores. Systems to store and manage these metadata have improved over time, but in most cases are ad-hoc collections of data relationships, often represented in domain or site specific application code. We are devel...
16ja018_fig1_data.hdf
May 4, 2018 - A general purpose tool-set for representing data relationships: Converting data into knowledge
Hierarchical Data Format - 14.5 KB - MD5: 47b60abe8d6ebc1028ccd989093397c9
16ja018_fig1_image.pdf
16ja018_fig1_image.pdf
May 4, 2018 - A general purpose tool-set for representing data relationships: Converting data into knowledge
Adobe PDF - 27.0 KB - MD5: 6dd6a13767eed42c2ab6c76ede881915
archival_16ja018_full.pdf
archival_16ja018_full.pdf
May 4, 2018 - A general purpose tool-set for representing data relationships: Converting data into knowledge
Adobe PDF - 9.7 MB - MD5: aaae362b6a86889959973659bd093a84
The High-Field Path to Practical Fusion Energy
May 3, 2018
M. Greenwald, D. Whyte, P. Bonoli, Z. Hartwig, J. Irby, B. LaBombard, E. Marmar, J. Minervini, M. Takayasu, J. Terry, R. Vieira, A. White, S. Wukitch, D. Brunner, R. Mumgaard, B. Sorbom, 2018, "The High-Field Path to Practical Fusion Energy", https://doi.org/10.7910/DVN/OYYBNU, Harvard Dataverse, V1
This white paper outlines a vision and describes a coherent roadmap to achieve practical fusion energy in less time and at less expense than the current pathway. The key technologies that enable this path are high-field, high-temperature superconducting magnets, a molten salt liquid blanket, high-field-side lower hybrid current drive and a long-leg...
archival_18rr002_full.pdf
archival_18rr002_full.pdf
May 3, 2018 - The High-Field Path to Practical Fusion Energy
Adobe PDF - 4.5 MB - MD5: 75dc40d7050685d7b7a3f2952e41783a
Tokamak-independent Software Analysis Suite for Multi-Spectral Line-Polarization MSE diagnostics
Jun 6, 2016
Steven D. Scott; Robert T. Mumgaard, 2016, "Tokamak-independent Software Analysis Suite for Multi-Spectral Line-Polarization MSE diagnostics", https://doi.org/10.7910/DVN/WGIWLW, Harvard Dataverse, V1
A tokamak-independent analysis suite has been developed to process data from Motional Stark Effect (MSE) diagnostics. The software supports multi-spectral line-polarization MSE diagnostics which simultaneously measure emission at the MSE sigma and pi lines as well as at two `background' wavelengths that are displaced from the MSE spectrum by a few...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.