cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/smx7tbx29p.2
title: Clip #18

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/yhd2j7ddxc.2
title: Clip #22

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.25345/c5zd23
title: MassIVE MSV000084182 - The Mitochondrial Protease, Neurolysin, Regulates Respiratory Chain Supercomplex Formation and is Necessary for AML Viability
title: Data contains LC-MS data of proximity-based biotin labeling assay (BioID) to generate the protein interaction network of Neurolysin and ClpP proteins fused to BirAFlag (C-terminal tag) and expressed in HEK293 T-REx cells.
DOI: 10.5439/1547268
title: ARM: XSACRCFRSPCHSRHICROSS

description: xsacr
DOI: 10.5439/1547269
title: ARM: GOES7IR8

description: goes
DOI: 10.7910/dvn/e95bo5/9yt6vw
title: 61- High 10.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/asi6jd
title: 58- QC10.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/azf9tv
title: 55- Low 7.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ngbfhv
title: 54- Healthy Control 24.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/oj4pu0
title: 59- Healthy Control 26.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/qgdahr
title: 62- Healthy Control 27.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/x9cmm8
title: 60- Low 8.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/xf81bi
title: 56- Healthy Control 25.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/yadcj2
title: 53- Healthy Control 23.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/8wutxx
title: DFM_ 43_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/ayhaub
title: DTM_ 18_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/gjjtk7
title: DFM_ 42_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/jogawn
title: DTM_ 61_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/pm2xxb
title: DTM_32_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/rr05nb
title: DTM_ 33_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/ueb1pt
title: DFM_58_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/y5sgxk
title: CATS_49_.tab

description: :unav
DOI: 10.17632/bxmmttx535.2
title: Clip #17

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.7910/dvn/e95bo5/510wqk
title: 68- Quiescent 7.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/5dsztw
title: 63- Quiescent 5.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/72vq3u
title: 70- QC12.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/7e2lka
title: 64- QC11.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/kytyjp
title: 66- Healthy Control 29.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/pwpll3
title: 67- Quiescent 6.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/snmlgg
title: 65- Healthy Control 28.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/4dtbrp
title: SPLITS_enron.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/5onifq
title: DFM_30_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/8tmno9
title: DFM_ 67_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/cqxxrg
title: DTM_ 36_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/waczmr
title: DFM_ 49_.csv

description: :unav
DOI: 10.17632/k74tdgbhjm.2
title: Clip #15

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.5061/dryad.dm5j73r/1
title: Dryad Item 10.5061/DRYAD.DM5J73R/1

description: (:tba)
DOI: 10.7910/dvn/e95bo5/9ibgug
title: 76- QC13.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/a39htk
title: 78- High 11.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ayjo8q
title: 77- Low 12.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/j0rdua
title: 73- Low 11.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/oljmtf
title: 71- Healthy Control 30.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/qlfzat
title: 74- Healthy Control 31.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/rnggzc
title: 75- Quiescent 8.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ttfxbz
title: 69-Low 9.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/zhdkty
title: 72- Low 10.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/2iqrlv
title: CATS_15_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/7aj6qo
title: DTM_53_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/8r4qqp
title: DFM_ 20_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/c4y0ik
title: CATS_37_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/smqe6j
title: SPLITS_13_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/uvgxhg
title: DTM_ 06_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/wrodcb
title: DTM_ 69_.tab

description: :unav
DOI: 10.17632/946jzttn7n.2
title: Clip #13

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/cww75348bj.2
title: Clip #14

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/dppstzh8n6.3
title: Clip #7

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/g98zzcn6nr.2
title: Clip #10

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/ytn823rw8j.2
title: Clip #12

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/z3yjbd4567.2
title: Clip #11

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.5061/dryad.dm5j73r/2
title: Dryad Item 10.5061/DRYAD.DM5J73R/2

description: (:tba)
DOI: 10.5061/dryad.dm5j73r/3
title: Dryad Item 10.5061/DRYAD.DM5J73R/3

description: (:tba)
DOI: 10.5061/dryad.dm5j73r/4
title: Dryad Item 10.5061/DRYAD.DM5J73R/4

description: (:tba)
DOI: 10.7910/dvn/e95bo5/42rvvo
title: 80- Healthy Control 32.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/4mmlve
title: 81- QC14.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/azrrtm
title: 0- Samples Metadata.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/bnuype
title: 85- Healthy Control 33.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/gwkluz
title: 79- Low 13.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/hylflq
title: 83- High 12.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ophupz
title: 84- Low 14.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/pwon3f
title: 82- Quiescent 9.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/tvu5s9
title: 86- QC15.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/al9pff
title: DTM_ 67_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/cohpda
title: DFM_ 46_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/fbj4x0
title: SPLITS_32_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/lruugd
title: DTM_ 14_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/lwp40v
title: CATS_stanford

description: :unav
DOI: 10.7910/dvn/kzw8r2/pjna45
title: DTM_ 24_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/wiiood
title: SPLITS_64_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/zqbqne
title: DTM_immigration

description: :unav
DOI: 10.17632/s3w942ddrs.1
title: The holographic matrix

description: The holographic matrix
DOI: 10.7910/dvn/kzw8r2/4lyfps
title: DTM_42_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/7fupfs
title: CATS_40_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/95tfs3
title: DFM_02_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/hsq0an
title: DFM_ 52_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/iohci2
title: DFM_52_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/xxmprh
title: DFM_ 34_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/zhl1aq
title: DTM_68_.tab

description: :unav
DOI: 10.7910/dvn/9uqtey/v2gtwp
title: README.rtf

description: :unav
DOI: 10.7910/dvn/9uqtey/vn3gl4
title: Supplement (Final, 20190808).docx

description: :unav
DOI: 10.7910/dvn/kzw8r2/4vvb1i
title: DFM_ 05_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/69wddi
title: CATS_58_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/bw2bd3
title: DTM_57_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/qj4i0f
title: CATS_36_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/rtz9dt
title: DTM_ 39_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/sop0y5
title: CATS_13_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/xuybkt
title: CATS_29_.tab

description: :unav
DOI: 10.3886/e111202
title: The Link Between Economic and Political Inequality in Cross-National Perspective

description: It is widely believed that there exists a debilitating feedback cycle linking economic inequality and political inequality. However, there has been a lack of empirical evidence about this association, particularly, in cross-national comparative research. It is largely because cross-national measures of political inequality are underdeveloped. To fill this gap, this study introduces the Political Inequality Index (PII) and the Political Power Inequality Index (PPII). This inquiry then investigates the two-way causal relationship between economic and political inequality. In the first causal direction, net income inequality is used as a proxy for economic inequality, while in the reverse causal linkage political inequality is supposed to influence market income inequality and redistribution separately, as net income inequality is considered as an outcome of the two different distributional stages. With respect to estimation techniques, a system GMM estimator for a dynamic panel data model is mainly used to address endogeneity. The findings show that net income inequality does not appear to affect political inequality significantly, while political inequality seems to contribute to economic inequality by influencing redistribution rather than market income inequality.
DOI: 10.3886/e111202v1
title: The Link Between Economic and Political Inequality in Cross-National Perspective

description: It is widely believed that there exists a debilitating feedback cycle linking economic inequality and political inequality. However, there has been a lack of empirical evidence about this association, particularly, in cross-national comparative research. It is largely because cross-national measures of political inequality are underdeveloped. To fill this gap, this study introduces the Political Inequality Index (PII) and the Political Power Inequality Index (PPII). This inquiry then investigates the two-way causal relationship between economic and political inequality. In the first causal direction, net income inequality is used as a proxy for economic inequality, while in the reverse causal linkage political inequality is supposed to influence market income inequality and redistribution separately, as net income inequality is considered as an outcome of the two different distributional stages. With respect to estimation techniques, a system GMM estimator for a dynamic panel data model is mainly used to address endogeneity. The findings show that net income inequality does not appear to affect political inequality significantly, while political inequality seems to contribute to economic inequality by influencing redistribution rather than market income inequality.
DOI: 10.7910/dvn/kzw8r2/5f7dwy
title: DTM_ 35_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/bx0qd7
title: DFM_ 66_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/cjbtvh
title: DFM_ 54_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/cngeof
title: DTM_ 22_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/galrxx
title: DFM_16_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/hvfv8e
title: SPLITS_35_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/kntvsw
title: DTM_ 12_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/mufvnc
title: DTM_36_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/wpvhpo
title: DTM_ 32_.tab

description: :unav
DOI: 10.5281/zenodo.3363871
title: SDG Paper Datasets

description: This resource contains dataset used in the paper describing the SDG software framework: "A Sequence Distance Graph framework for genome assembly and analysis". Specifically for the section of the paper "Hybrid assembly of short and long reads", the folder "ecoli" contains the Illumina Miseq 2x300bp reads that were used. Specifically for the section of the paper "Analysing a simulation of heterozygous parent-child trio with short reads", the "trio" folder contains the simulated genomes of the trio's 2 parental individuals and 1 offspring individual, as well as simulated reads produced from those genomes.
description: This work was strategically funded by the BBSRC Core Strategic Programme Grant (BBS/E/T/000PR9818). Work by GGA and BJC was also partially funded by the BBSRC grant "OctoSeq: Sequencing the octoploid strawberry" (BB/N009819/1).
DOI: 10.7910/dvn/kzw8r2/2thpck
title: SPLITS_08_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/2vs8go
title: DFM_49_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/5ikjoz
title: CATS_22_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/adpfdo
title: SPLITS_61_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/f0wkqf
title: DFM_ 11_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/hlmk0l
title: CATS_05_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/najgpe
title: DTM_ 38_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/rfxk27
title: DFM_37_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/wtoj0k
title: DTM_ 17_.tab

description: :unav
DOI: 10.7910/dvn/phgadl/xloez1
title: Irish et al_2019 country lists 3.0_readme.txt

description: :unav
DOI: 10.7910/dvn/phgadl/z9azg7
title: Irish et al_2019 country lists 3.0_database.tab

description: :unav
DOI: 10.5284/1055097
title: 18-19 Hanover Square, Bond Street Station (Eastern Ticket Hall) (Crossrail XSG10)

description: A series of nine geotechnical test pits were subject to a targeted watching brief undertaken by Oxford Archaeology/Gifford (OAG), in the basements of 18 and 19 Hanover Square. This work was part of the works for the Bond Street Station Eastern Ticket Hall (ETH), centred around Hanover Square, City of Westminster, London. The works took place in July 2010 and, due to the restricted nature of the watching brief works and the extent of 20th- century truncation encountered, the results and conclusions of the investigations were limited. At the base of several test pits the underlying natural was identified as Lynch Hill terrace gravels.
DOI: 10.7910/dvn/kzw8r2/87puqk
title: DTM_ 04_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/ab5egd
title: DFM_ 07_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/derelp
title: DFM_ 47_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/fnmmqi
title: DTM_ 63_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/g4m8jr
title: DTM_ 10_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/jxe0ne
title: DFM_61_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/kdylzp
title: SPLITS_43_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/l3h6hc
title: DTM_35_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/u8focq
title: DTM_01_.tab

description: :unav
DOI: 10.17632/5ynrc96pn6.1
title: Data for: Bidirectional Approximate Reasoning-Based Approach for Decision Support

description: This .zip file includes the source coding and data sets.
DOI: 10.21227/w397-d644
title: The USyd Campus Dataset

description: Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation and deep-learning applications. Despite this success, the validation of algorithm robustness has recently been recognised as a major challenge for the massive deployment of these new technologies. It is well known that algorithms and models trained or tested with a particular dataset tend not to generalise well for other scenarios. For certain applications, autonomous vehicles in particular, algorithm failures can lead to potentially catastrophic consequences. To minimise this risk, it is essential to evaluate the robustness and reliability of algorithms before deploying them in real life applications. This paper presents a long-term, large-scale dataset collected over the period of 1.5 years on a weekly basis over the University of Sydney campus and surrounds. The USyd Campus Dataset has been designed to aid in the development, validation and testing of algorithm robustness under a wide variety of conditions. It includes multiple sensor modalities and covers various environmental conditions as well as diverse changes to illumination, scene structure, and pedestrian/vehicle traffic volumes. The dataset also includes a semantic segmentation dataset with different illumination conditions and camera perspectives, and a ‘Road’ class image dataset which is automatically generated using lidar. To facilitate the dataset use by researchers and practitioners, we also provide a set of development tools for the analysis and visualisation of the dataset.
DOI: 10.7910/dvn/kzw8r2/6agueh
title: DFM_ 14_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/ba3iyj
title: DTM_34_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/fabxc6
title: CATS_60_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/hc5pab
title: DFM_14_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/hmh7pf
title: DTM_23_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/jfxmqh
title: CATS_41_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/kis02w
title: CATS_34_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/pj9uiu
title: DFM_ stanford

description: :unav
DOI: 10.7910/dvn/kzw8r2/pjjdrk
title: DTM_47_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/uj9kyp
title: DFM_immigration

description: :unav
DOI: 10.7910/dvn/q86feq/dsjpfk
title: readme2_buildGithub.R

description: :unav
DOI: 10.5281/zenodo.3363022
title: Measurement and identification of the joint stiffness on a serial articulated industrial robot

description: This document exemplifies elastostatic compliance calibration on an articulated industrial robot, which has been calibrated at KTH Royal Institute of Technology in 2019 using procedure outlined in the CWA-17384. All data processing is done in Matlab 2018b® using the Peter Corke’s as well as Computer Vision System toolbox for robotics. In case of questions do not hesitate to send an e-mail to theissen@kth.se to obtain data and algorithms in c++ or other formats.
DOI: 10.5281/zenodo.3363023
title: Measurement and identification of the joint stiffness on a serial articulated industrial robot

description: This document exemplifies elastostatic compliance calibration on an articulated industrial robot, which has been calibrated at KTH Royal Institute of Technology in 2019 using procedure outlined in the CWA-17384. All data processing is done in Matlab 2018b® using the Peter Corke’s as well as Computer Vision System toolbox for robotics. In case of questions do not hesitate to send an e-mail to theissen@kth.se to obtain data and algorithms in c++ or other formats.
DOI: 10.7910/dvn/kzw8r2/6viiyf
title: DFM_40_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/9r9hvu
title: SPLITS_12_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/diqznk
title: DFM_39_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/oscihh
title: DTM_15_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/osqlbj
title: CATS_54_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/sweral
title: CATS_24_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/tdpvhd
title: DFM_ immigration

description: :unav
DOI: 10.7910/dvn/kzw8r2/vczleo
title: DFM_27_.csv

description: :unav
DOI: 10.7910/dvn/q86feq/3va1rs
title: readme2_va2_replication.R

description: :unav
DOI: 10.7910/dvn/q86feq/5wmcqt
title: readme2_simulation_code.R

description: :unav
DOI: 10.7910/dvn/q86feq/akii7l
title: readme2_timingfxns.R

description: :unav
DOI: 10.7910/dvn/q86feq/cq3rjl
title: readme2_sampling.R

description: :unav
DOI: 10.7910/dvn/q86feq/fzdfi3
title: readme2_buildPackage.R

description: :unav
DOI: 10.7910/dvn/q86feq/hnurpw
title: package_installation.R

description: :unav
DOI: 10.7910/dvn/q86feq/khpjxw
title: readme2_sampling_helper_fxns.R

description: :unav
DOI: 10.7910/dvn/q86feq/tvtoxl
title: readme2_testing.R

description: :unav
DOI: 10.5061/dryad.qk36k8q/1
title: Dryad Item 10.5061/DRYAD.QK36K8Q/1

description: (:tba)
DOI: 10.7910/dvn/kzw8r2/1zcgpo
title: DTM_12_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/eamekb
title: DTM_49_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/euqkao
title: SPLITS_stanford.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/jzs2ai
title: DTM_44_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/mh3mhl
title: SPLITS_28_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/pcec6h
title: SPLITS_26_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/rbpm1i
title: DTM_20_.tab

description: :unav
DOI: 10.7910/dvn/q86feq/bgy51x
title: readme2_quantification_algos.R

description: :unav
DOI: 10.7910/dvn/q86feq/dywix6
title: readme2_numericize_helper_fxns.R

description: :unav
DOI: 10.7910/dvn/q86feq/j9jsay
title: readme2_causal_battery_helpers.R

description: :unav
DOI: 10.7910/dvn/q86feq/lrvl7r
title: readme2_master_public.R

description: :unav
DOI: 10.7910/dvn/q86feq/r8779v
title: readme2_testing_helper_fxns.R

description: :unav
DOI: 10.7910/dvn/q86feq/wrirwi
title: readme2_causal_battery_master.R

description: :unav
DOI: 10.14469/hpc/6006
title: 12b (1S,6R), with dispersion, optrot, [a]D +118.01

description: Gaussian Calculation