University of Texas at Austin Dataverse Collection

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122,211 to 122,220 of 122,223 Results

specific_models.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 10.5 KB - MD5: 5e701ebee8c943e1106a4f677ad9d003 R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- creates and compares targeted models.
SRET reliability.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 38.6 KB - MD5: 33472711bdb8bac29530e9ef86f0c41f R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- compares internal reliability.
SRET test-retest reliability.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 16.2 KB - MD5: 5304a20f47552a3e1136b081c4258d57 R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- tests retest reliability of the SRET.
summary stats.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 7.9 KB - MD5: 64943add56a031a7aac473d19507da8b R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- prints summary statistics mostly used for Table 1.
utmodel-all.tab May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Tabular Data - 13.3 KB - 19 Variables, 109 Observations - UNF:6:pKJGKIMqqpxEigHUSZQiGg== .Rdata file with college student best subsets model.
utstudents.tab May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Tabular Data - 16.4 KB - 21 Variables, 109 Observations - UNF:6:jM4/ZU7C8klUGn33njFIfg== .Rdata file used for creating models.
Teapot Dome Well Tie Apr 25, 2017 - TCCS Dataverse Bader, Sean, 2017, "Teapot Dome Well Tie", https://doi.org/10.18738/T8/21WDU8, Texas Data Repository, V2 Windowed and rotated Teapot Dome data and statistical wavelets
rmotc.tar Apr 25, 2017 - Teapot Dome Well Tie TAR Archive - 1.7 GB - MD5: 66801d0149144fd287ea5edb9feae0c9 Teapot Dome Well Logs. Made available by the Rocky Mountain Oilfield Testing Center and U.S. Department of Energy: http://wiki.seg.org/wiki/Teapot_dome_3D_survey
stat_wave_1345_1188_550_800.txt Apr 17, 2017 - Teapot Dome Well Tie Plain Text - 979 B - MD5: 8a9b0abde3ee33701cdac52f716a610b
tpdSeis.hh Apr 17, 2017 - Teapot Dome Well Tie Plain Text - 43.2 MB - MD5: cb0ed4254bc8aa31714b25ec377b3ad7

specific_models.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 10.5 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- creates and compares targeted models.

SRET reliability.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 38.6 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- compares internal reliability.

SRET test-retest reliability.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 16.2 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- tests retest reliability of the SRET.

summary stats.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 7.9 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- prints summary statistics mostly used for Table 1.

utmodel-all.tab

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Tabular Data - 13.3 KB - 19 Variables, 109 Observations -

.Rdata file with college student best subsets model.

utstudents.tab

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Tabular Data - 16.4 KB - 21 Variables, 109 Observations -

.Rdata file used for creating models.

Teapot Dome Well Tie

Apr 25, 2017 - TCCS Dataverse

Bader, Sean, 2017, "Teapot Dome Well Tie", https://doi.org/10.18738/T8/21WDU8, Texas Data Repository, V2

Windowed and rotated Teapot Dome data and statistical wavelets

rmotc.tar

Apr 25, 2017 - Teapot Dome Well Tie

TAR Archive - 1.7 GB -

Teapot Dome Well Logs. Made available by the Rocky Mountain Oilfield Testing Center and U.S. Department of Energy: http://wiki.seg.org/wiki/Teapot_dome_3D_survey

stat_wave_1345_1188_550_800.txt

Apr 17, 2017 - Teapot Dome Well Tie

Plain Text - 979 B -

tpdSeis.hh

Apr 17, 2017 - Teapot Dome Well Tie

Plain Text - 43.2 MB -

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