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README_Metadata for Atkins et al. data files
Metadata description for all data files - please read before viewing each file. -
dedup_wf_001--ef6c05976dd9da0281df459ec4e91a22
These files were collected on an autonomous underwater glider deployed in the Gulf of Mexico in September 2012. The files have been converted into flac format for lossless... -
Data and analysis files for Domestication and the Mitochondrial Genome, Moray...
Please see README file for details. -
MOESM1 of The role of the built environment in explaining educational inequal...
Additional file 1. Maps of Eindhoven, and correlations between built environment variables. -
MOESM1 of Development and validation of the neighborhood environment walkabil...
Additional file 1: Table S1. Adaptation of the NEWS-Y for the IPEN Adolescent study (NEWS-Y-IPEN). -
Additional file 6 of The design and development of technology platforms in a ...
Additional file 6. Platform Development Canvas. Platform Development Canvas comprises five parts: (1) platform core, (2) ecosystem and environment, (3) platform and governance... -
MOESM7 of How does tillage intensity affect soil organic carbon? A systematic...
Additional file 7. GIS help file. -
Split4Blank: a software to split an RDF graph with blank nodes
A software to split an RDF graph in N-Triples format into multiple files under the condition that identical blank nodes are not separated. -
Bcbi/Bcbistats.Jl: V0.1.0
Statistics utilities developed in Julia at the Brown Center for Biomedical Informatics -
mega-sweep
The mega-sweep mini-app aims to take the mega-stream kernel and fit it within a KBA-style sweep iteration structure. The compute kernel is similar to mega-stream, but additional... -
dedup_wf_001--3856f7e27cadc9788e8272202c5db7dd
This file includes dog's ID, breed, sex, OXTR genotypes, and personality scores. -
dedup_wf_001--7eb5c3a394418783b82a63a2ca4ec4cd
BEAST replicate run 2 files including xml file, log file, and trees. -
ORCID migrations by person
This file is an aggregation of affiliation data for each person. It is part of the output of the IPython Notebook above.