cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/8pmmvt/ywfnn6
title: 3_raking_for_survey_weights.R

description: :unav
DOI: 10.7910/dvn/8pmmvt/7cposu
title: find_specific_cooccurrences.ipynb

description: :unav
DOI: 10.7910/dvn/8pmmvt/bmucnt
title: figure9_replicate_w_pid.R

description: :unav
DOI: 10.7910/dvn/8pmmvt/gttdpp
title: figure_reweighted_party_placements.R

description: :unav
DOI: 10.7910/dvn/8pmmvt/hrf0vp
title: figure_reweighted_factual_analysis.R

description: :unav
DOI: 10.7910/dvn/8pmmvt/wgvcq3
title: merged_nr_soma.RData

description: :unav
DOI: 10.7910/dvn/8pmmvt/0sfzal
title: new_figures_46.R

description: :unav
DOI: 10.7910/dvn/8pmmvt/1nuiuj
title: nr_controls.tab

description: :unav
DOI: 10.7910/dvn/8pmmvt/7n53tm
title: results_aggregate_party_placement_graphs.R

description: :unav
DOI: 10.7910/dvn/8pmmvt/lk5o9m
title: table1_demographics.R

description: :unav
DOI: 10.7910/dvn/8pmmvt/uf3cx9
title: soma_tweets2.tab

description: :unav
DOI: 10.7910/dvn/8pmmvt/x7txvp
title: readme.txt

description: :unav
DOI: 10.7910/dvn/8pmmvt/lpbbvg
title: table3_tweet_desc_stats.R

description: :unav
DOI: 10.7910/dvn/8pmmvt/zndjvj
title: table4567_correct_answers.R

description: :unav
DOI: 10.7910/dvn/qeiicm/jjy2un
title: b_Figure1.tab

description: :unav
DOI: 10.7910/dvn/qeiicm/ldgwnq
title: c_MoscowClean.tab

description: :unav
DOI: 10.7910/dvn/qeiicm/v0o1yd
title: d_moscow_tables.do

description: :unav
DOI: 10.7910/dvn/qeiicm/zekwvs
title: a_Codebook.docx

description: :unav
DOI: 10.7910/dvn/qeiicm/doha4n
title: g_MoscowDataRaw.tab

description: :unav
DOI: 10.7910/dvn/qeiicm/letvbc
title: h_MoscowFollowUp2017.tab

description: :unav
DOI: 10.7910/dvn/qeiicm/nn37wa
title: i_MoscowFollowUp2018.tab

description: :unav
DOI: 10.7910/dvn/qeiicm/p7yfjr
title: e_RegionClean.tab

description: :unav
DOI: 10.7910/dvn/qeiicm/tbkno1
title: j_moscow_dta_cleaning.R

description: :unav
DOI: 10.7910/dvn/qeiicm/zzpl2p
title: f_region_tables.do

description: :unav
DOI: 10.7910/dvn/e1hd81/ctqgex
title: Table 1. Ford et al.docx

description: :unav
DOI: 10.7910/dvn/e1hd81/fxw6yv
title: Methods Supplemental File- Interview and Focus Group Protocols.docx

description: :unav
DOI: 10.7910/dvn/qeiicm/7d1zvj
title: READ_ME.rtf

description: :unav
DOI: 10.7910/dvn/qeiicm/jchszs
title: l_region_dta_cleaning.R

description: :unav
DOI: 10.7910/dvn/qeiicm/jn58hv
title: k_RegionDataRaw.tab

description: :unav
DOI: 10.7910/dvn/bmei5t/yjsgtj
title: area.tab

description: :unav
DOI: 10.7910/dvn/bmei5t/l0vesf
title: Estimation Code.do

description: :unav
DOI: 10.7910/dvn/bmei5t/tdkasa
title: District to PC translator.tab

description: :unav
DOI: 10.7910/dvn/siweyd/4iwrfo
title: dpRelease-20200818-192638_countryConnections_centroids_routed_2004-2012_20200803-182020-Dataverse.RData

description: R Object that contains a privacy preserving release of semestral country-level Internet connectivity statistics from 2004 to 2012.
DOI: 10.7910/dvn/siweyd/j0tofp
title: countryConnections_routed_sample_200402-201208_20200819-232943.RData

description: R object that contains a list of observed Internet connections on each country by semester, from 2004 to 2012. This list represents a 5% random sample of the dataset described in the paper, and it was computed using countryConnections.R script over the provided routed_samples_semester.csv file.
DOI: 10.7910/dvn/siweyd/3q6ule
title: INSTRUCTIONS.txt

description: This file contains the instructions to use the code and data of the Supplementary Materials of the paperin order to reproduce the published results, and also to show how to apply our approach to any other sensitive dataset, taking the Internet Connectivity Statistics for illustration purpose. Thefilealso provides additional technical notes including instructions to find and install the psilence library.
DOI: 10.7910/dvn/siweyd/4uyxfs
title: dpRelease.R

description: R script that computes privacy preserving counts of sensitive data calling the Laplacian mechanism of the psilence library. By default the script runs the mechanism 100 times for the 15 values of Epsilon, as discussed in the paper.
DOI: 10.7910/dvn/siweyd/fp4tyo
title: plainRelase.R

description: The main purpose of this script is to illustrate how to format a sensitive dataset so it can be fed to the dpRelease.R script to compute privacy-preserving statistics. The produced .RData object stores a list of vectors, each one containing observations of the sensitive data for a given sample.
DOI: 10.7910/dvn/siweyd/jwever
title: oecd-itu.tab

description: CSV file that contains semestral country level Internet connectivity measured as total number of subscribers, computed as described in the original paper: https://doi.org/10.1007/978-3-319-15509-8_17. #### TO DOWNLOAD PLEASE CHOOSE "ORIGINAL FILE FORMAT (COMMA SEPARATED VALUES)" IN THE DROPDOWN BOX ####
DOI: 10.7910/dvn/siweyd/wlvkss
title: pearsons-20200819-202041-1ddefb75eafee043600a1eac63231946-Dataverse.tab

description: CSV file that contains average Pearson coefficients of correlations between official and computed (original and privacy preserving) Internet connectivity statistics, and error between original and privacy preserving statistics, for all 15 Epsilon values, for each one of the 100 runs, and their errors. #### TO DOWNLOAD PLEASE CHOOSE "ORIGINAL FILE FORMAT (COMMA SEPARATED VALUES)" IN THE DROPDOWN BOX ####
DOI: 10.7910/dvn/siweyd/ajkh00
title: routed_sample_semesters.tab

description: CSV file containing a random 5% subset of the geolocated Internet connections referred in the paper. This file was produced taking as input the random subset of 5% of the routed subnetworks made available at http://doi:10.7910/DVN/Y3VPIG/I3AMM3 and computed as described in https://doi.org/10.1007/978-3-319-15509-8_17, removing unnecessary columns and reordering them consistently with the RWorld package requirements, and randomly assigning a semester (2 or 8). Geospatial coordinates were rounded to the first decimal. #### TO DOWNLOAD PLEASE CHOOSE "ORIGINAL FILE FORMAT (COMMA SEPARATED VALUES)" IN THE DROPDOWN BOX ####
DOI: 10.7910/dvn/siweyd/c2yqy2
title: reproduce.R

description: R script to reproduce the results of the paper
DOI: 10.15468/dl.armtp6
title: Occurrence Download

description: A dataset containing 701955 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is MEX.25_1"
 ]
}

 The dataset includes 701955 records from 665 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029620-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/2kmegv/4tvmug
title: Point FID APBSE and APBSW regions.cpg

description: :unav
DOI: 10.7910/dvn/2kmegv/ciwebo
title: Monthly z score (1979-2018)_APW and APDP.tab

description: :unav
DOI: 10.7910/dvn/2kmegv/fob8ap
title: Point FID APBSE and APBSW regions.sbx

description: :unav
DOI: 10.7910/dvn/2kmegv/fyuzz5
title: Point FID APBSE and APBSW regions.sbn

description: :unav
DOI: 10.7910/dvn/2kmegv/ooumx2
title: Point FID APBSE and APBSW regions.dbf

description: :unav
DOI: 10.7910/dvn/2kmegv/xo6gfw
title: Monthly z score (1979-2018)_APBSE and APBSW.tab

description: :unav
DOI: 10.7910/dvn/2kmegv/0dznfy
title: Point FID APBSE and APBSW regions.shp

description: :unav
DOI: 10.7910/dvn/2kmegv/3xh6j5
title: Point FID APBSE and APBSW regions.xml

description: :unav
DOI: 10.7910/dvn/2kmegv/9x0xdz
title: Point FID APW and APDP regions.sbn

description: :unav
DOI: 10.7910/dvn/2kmegv/pauomy
title: Point FID APBSE and APBSW regions.shx

description: :unav
DOI: 10.7910/dvn/2kmegv/tbn00f
title: Point FID APW and APDP regions.sbx

description: :unav
DOI: 10.7910/dvn/2kmegv/yfbxoi
title: Point FID APW and APDP regions.dbf

description: :unav
DOI: 10.7910/dvn/2kmegv/1vwpek
title: Point FID APW and APDP regions.shp

description: :unav
DOI: 10.7910/dvn/2kmegv/1xshcj
title: Point FID APW and APDP regions.shx

description: :unav
DOI: 10.7910/dvn/2kmegv/mbtdg3
title: R script for Box-Jenkins.R

description: :unav
DOI: 10.7910/dvn/2kmegv/ukvykg
title: Point FID APW and APDP regions.shp.xml

description: :unav
DOI: 10.7910/dvn/d79r7y/hzkimy
title: SE-20-025_Suppl.tab

description: Suppl. 1. Top 15 foreign institution with which the co-authors of the most papers on Innovation System with Indonesia authors were affiliated. Suppl. 2. List of journals where three or more papers on Innovation System by Indonesia authors were published. Suppl. 3. Top authors from institutions located in Indonesia with Innovation System publications. Suppl. 4. Top-cited papers from 1998 through 2019 according to the number of citations in Scopus (Indonesia authors). Suppl. 5. Classification of keywords in innovation system papers in Scopus from Indonesia, from 1998 to 2019.
DOI: 10.7910/dvn/39tuy4/ot54qq
title: SE-20-037_dataset.txt

description: Add raw data of the 645 articles with references and keywords.
DOI: 10.7910/dvn/fz3oia/xms7hg
title: SE-20-032_dataset 0818.tab

description: List prices of the top 10 journal publishers in JCR 2014 to 2018
DOI: 10.7910/dvn/ygwa06/5xpx9v
title: SE-20-040_Suppl 2.docx

description: List of keywords
DOI: 10.7910/dvn/ygwa06/bej4dv
title: SE-20-040_Dataset.tab

description: Raw data of IEF articles
DOI: 10.7910/dvn/ygwa06/dfrzsw
title: SE-20-040_Suppl 1.docx

description: List of top 24 journals on Scimago journals ranking
DOI: 10.7910/dvn/ygwa06/xqtxbo
title: SE-20-040_Suppl 3.docx

description: List of 30 journals based on total citations
DOI: 10.7910/dvn/qer5o4/6anpdb
title: SE-20-049_Dataset 1.tab

description: Raw data of scholarly journals in Brazil
DOI: 10.7910/dvn/qer5o4/ccx7at
title: SE-20-049_Dataset 2.xlsx

description: Raw data of scholarly journals in France
DOI: 10.7910/dvn/qer5o4/asrysk
title: SE-20-049_Dataset 3.tab

description: Raw data of scholarly journals in Korea
DOI: 10.7910/dvn/xvhpuf/94miyo
title: SE-20-052_Suppl 1.txt

description: Survey questionnaire
DOI: 10.7910/dvn/xvhpuf/flr7pz
title: SE-20-052_Suppl 2.xlsx

description: Reasons for responses of “yes” to the item “Do you think that online-only journal publishing will expand after the COVID-19 pandemic?”
DOI: 10.7910/dvn/xvhpuf/fmh3ay
title: SE-20-052_Suppl 4.tab

description: Answers to the item “Please describe any other changes you expect in journal editing and publishing due to COVID-19.”
DOI: 10.7910/dvn/xvhpuf/pszjsn
title: SE-20-052_Suppl 3.tab

description: Reasons for responses of “yes” or “no” to the item “Do you think that the need for journal publishing (the number of articles or number of journals) will increase after the COVID-19 pandemic?”
DOI: 10.7910/dvn/xvhpuf/4k4l1l
title: SE-20-Dataset 1.xlsx

description: Raw data of the survey
DOI: 10.7910/dvn/xvhpuf/qxppyr
title: SE-20-052_Suppl 5.xlsx

description: Answers to the item “Please suggest future training programs related to editing or publishing.”
DOI: 10.7910/dvn/64zlm0/gumbym
title: DATA.tab

description: :unav
DOI: 10.7910/dvn/lzqhtk/ctdw50
title: replication_code_efa_anova_regression.do

description: replication code for anova, exploratory factor analyses, and OLS regressions presented in the manuscript.
DOI: 10.7910/dvn/lzqhtk/drz5vd
title: replication_code_cfa.R

description: Replication code for the confirmatory factor analyses presented in paper and appendixes
DOI: 10.7910/dvn/lzqhtk/tz8qif
title: replication_data_2.tab

description: 2018 CCES module data
DOI: 10.7910/dvn/lzqhtk/xxbpoe
title: replication_data_1.tab

description: Lucid data
DOI: 10.7910/dvn/zlovrx
title: Replication Data for: "The Social Media Audience of Diplomatic Conflict in Foreign Policy: History, Politics, and Domestic Polarization

description: replication materials for "The Social Media Audience of Diplomatic Conflict in Foreign Policy: History, Politics, and Domestic Polarization" by Akitaka Matsuo and Oul Han
DOI: 10.7910/dvn/psh7tg/0sdm8g
title: Survey on Impact of Gender-based violence against Women and girls during Lockdown in Nigeria (Responses).xlsx

description: :unav
DOI: 10.7910/dvn/wspzmr/sckgd4
title: Full Statistics.docx

description: Descriptive statistics on Datasets on Gender-based violence
DOI: 10.7910/dvn/tsrvkn/yniryt
title: LIFE.tab

description: :unav
DOI: 10.7910/dvn/gf0xja/keuip4
title: vbm_replication_code.R

description: Replication code
DOI: 10.7910/dvn/gf0xja/v41djh
title: VBM_polarization-1.tab

description: Survey data
DOI: 10.7910/dvn/stpl7b/azll9f
title: East_001.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/fzcxc4
title: East_002.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/gsa0rq
title: AllPointsCorrect.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/ygsxlt
title: East_003.tab

description: :unav
DOI: 10.7910/dvn/sp6jp8/dxp09w
title: Figure 2A. CePO4 in HCl.xls

description: :unav
DOI: 10.7910/dvn/sp6jp8/jfglhs
title: Figure 1. QCM-D of EF+Ce+PO4.xls

description: :unav
DOI: 10.7910/dvn/sp6jp8/w8xjgf
title: Figure 2B. Ce binding in NaOH.xls

description: :unav
DOI: 10.7910/dvn/stpl7b/8zqsvy
title: North_003.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/iqeava
title: North_002.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/jx2aay
title: East_boise2.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/lw3tga
title: South_001.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/smksu9
title: North_001.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/xmkm1u
title: North_boise2.tab

description: :unav
DOI: 10.7910/dvn/sp6jp8/26dehc
title: Figure 4B.sww pH 7.xls

description: :unav
DOI: 10.7910/dvn/sp6jp8/6ihwfg
title: Figure 5 FTIR.tab

description: :unav
DOI: 10.7910/dvn/sp6jp8/fqmsgt
title: Figure 3B. Ce with SO4.xls

description: :unav
DOI: 10.7910/dvn/sp6jp8/n6bttj
title: Figure 3A.EF with Ca.xls

description: :unav
DOI: 10.7910/dvn/sp6jp8/x0tnoq
title: Figure 6 TOF-SIMS.pptx

description: :unav
DOI: 10.7910/dvn/sp6jp8/xzr9qb
title: Figure 4A. SWW pH 5.xls

description: :unav
DOI: 10.7910/dvn/stpl7b/kokbjz
title: South_002.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/lnu16b
title: Test_Data20.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/qctgik
title: South_003.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/tztvkc
title: South_boise2.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/wh2jni
title: Test_Data10.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/27k69b
title: Test_data.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/7pmlo0
title: Test_DataALL.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/gemrbo
title: Train_Data20.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/krlv9t
title: Test_Data40.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/rbxyx4
title: Train_Data10.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/x0axck
title: Test_Data30.tab

description: :unav
DOI: 10.7910/dvn/vjm9h8/0eovf9
title: Figure 2A. CePO4 in HCl.xls

description: :unav
DOI: 10.7910/dvn/vjm9h8/nwpmxk
title: Figure 1. QCM-D of EF+Ce+PO4.xls

description: :unav
DOI: 10.7910/dvn/stpl7b/9yqtnv
title: Train_data.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/dgrhnj
title: Train_Data40.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/n3xmwm
title: Train_Data30.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/pmbcyz
title: West_001.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/tkhmb5
title: Train_DataALL.tab

description: :unav
DOI: 10.7910/dvn/vjm9h8/18dqkg
title: Figure 4A. SWW pH 5.xls

description: :unav
DOI: 10.7910/dvn/vjm9h8/cg2tml
title: Figure 5 FTIR.tab

description: :unav
DOI: 10.7910/dvn/vjm9h8/ggwt6e
title: Figure 3A.EF with Ca.xls

description: :unav
DOI: 10.7910/dvn/vjm9h8/ju4wfq
title: Figure 4B.sww pH 7.xls

description: :unav
DOI: 10.7910/dvn/vjm9h8/n8luhu
title: Figure 2B. Ce binding in NaOH.xls

description: :unav
DOI: 10.7910/dvn/vjm9h8/xmteb6
title: Figure 3B. Ce with SO4.xls

description: :unav
DOI: 10.7910/dvn/kzbpli/sxtbze
title: Figure 5.txt

description: :unav
DOI: 10.7910/dvn/kzbpli/ugoffa
title: Figure 2.txt

description: :unav
DOI: 10.7910/dvn/kzbpli/yo87w1
title: Figure 3.txt

description: :unav
DOI: 10.7910/dvn/stpl7b/kzhdlu
title: West_002.tab

description: :unav
DOI: 10.7910/dvn/stpl7b/qokyxl
title: West_boise2.tab

description: :unav
DOI: 10.7910/dvn/vjm9h8/zouokf
title: Figure 6 TOF-SIMS.pptx

description: :unav
DOI: 10.7910/dvn/kzbpli/3skuvy
title: Figure S1.txt

description: :unav
DOI: 10.7910/dvn/kzbpli/qrirma
title: Table S2.tab

description: :unav
DOI: 10.7910/dvn/kzbpli/wxj6b0
title: Table S3.tab

description: :unav
DOI: 10.7910/dvn/niz51y/fhztvr
title: Teleconsulting_Appendix I_Anesthetic Protocol & Procedural Document_Can Vet J_Pang et al.pdf

description: This document is an Appendix to a paper accepted for publication in the Canadian Veterinary Journal: "Teleconsulting in the time of a global pandemic: application to anesthesia and technological considerations". Disclaimer: this document was created to help in the peri-anesthetic management of a specific case by a dedicated veterinary team (Pang et al. 2020 Can Vet J). It is provided here to reflect aspects of the work involved in case planning and preparation. It is not intended to be used as a generic document for anesthetic management.
DOI: 10.7910/dvn/j3iuvr/yllhjf
title: approximate_plane_set.tab

description: MLP initialization
DOI: 10.7910/dvn/j3iuvr/25s8s3
title: DynamicLoad_20Years.csv

description: equivalent dynamic bearing load data for 20 years
DOI: 10.7910/dvn/j3iuvr/4tphnx
title: BearingTemp_20Years.csv

description: bearing temperature data for 20 years
DOI: 10.7910/dvn/j3iuvr/dczxaq
title: Cycles_20Years.csv

description: rpm data for 20 years
DOI: 10.7910/dvn/j3iuvr/nuhus8
title: cp.ckpt.index

description: :unav
DOI: 10.7910/dvn/j3iuvr/pbh0li
title: askf_table.csv

description: c2 life modification factor
DOI: 10.7910/dvn/j3iuvr/seeg33
title: cp.ckpt.data-00000-of-00001

description: :unav
DOI: 10.7910/dvn/6czchi/9iyy2u
title: SE-20-048_Dataset.tab

description: Dataset 1. Raw data from the Web of Science website
DOI: 10.7910/dvn/j3iuvr/9turfk
title: kappa_table.csv

description: viscosity ratio
DOI: 10.7910/dvn/j3iuvr/t0mz62
title: True_GreaseDamage_6Months.tab

description: Ground true grease damage data for 6 months
DOI: 10.7910/dvn/j3iuvr/yvtp6n
title: etac_table.csv

description: contamination factor
DOI: 10.7910/dvn/j3iuvr/zyeh78
title: True_FatigueDamage_20Years.csv

description: ground true fatigue damage for 20 years
DOI: 10.7910/dvn/i9affa/n1i5lx
title: Data COVID19 WHS and employees.xls

description: :unav
DOI: 10.7910/dvn/sgofsc/ejteay
title: Audit-Report-EN-vFINAL.pdf

description: Full final report by the OAS on the 2019 Bolivian Election. Available here: https://www.oas.org/fpdb/press/Audit-Report-EN-vFINAL.pdf
DOI: 10.7910/dvn/sgofsc/iodcq8
title: Relevant Section of Audit-Report-EN-vFINAL.pdf

description: Pages 86-93 of the full OAS report for which I was the primary author
DOI: 10.7488/ds/7821
title: Genome-wide chromosome architecture prediction reveals biophysical principles underlying gene structure

description: Data associated with the paper: Michael Chiang, Chris A Brackley, Catherine Naughton, Ryu-Suke Nozawa, Cleis Battaglia, Davide Marenduzzo, Nick Gilbert (in press). Genome-wide chromosome architecture prediction reveals biophysical principles underlying gene structure. Cell Genomics. Classical observations suggest a connection between 3D gene structure and function, but testing this hypothesis has been challenging due to technical limitations. To explore this, we developed e-HiP-HoP, a model based on genome organisation principles to predict the 3D structure of human chromatin. We defined a new 3D structural unit, a “topos”, which represents the regulatory landscape around gene promoters. Using GM12878 cells, we predicted the 3D structure of over 10,000 active gene topoi and stored them in the 3DGene database. Data mining revealed folding motifs and their link to gene ontology features. We computed a structural diversity score and identified influential nodes—chromatin sites that frequently interact with gene promoters, acting as key regulators. These nodes drive structural diversity and are tied to gene function. e-HiP-HoP provides a framework for modelling high-resolution chromatin structure and a mechanistic basis for chromatin contact networks that link 3D gene structure with function. This dataset contains the simulation code and data underlying the figures of the associated paper.
DOI: 10.7910/dvn/gpjdy6/56jiom
title: DZ_Traders_2017_sec_c_crops_2012_roster-1.tab

description: .dta formatted data file
DOI: 10.7910/dvn/gpjdy6/bixlg0
title: DZ_Traders_2017_sec_c_business-1.tab

description: .dta formatted data file
DOI: 10.7910/dvn/gpjdy6/ble3bn
title: DZ_Traders_2017_sec_c_business.tab

description: .csv formatted data file
DOI: 10.7910/dvn/gpjdy6/drwzxz
title: DZ_Traders_2017_sec_b_interviewee.tab

description: .dta formatted data file
DOI: 10.7910/dvn/gpjdy6/fofhxv
title: Disclaimer.pdf

description: Disclaimer
DOI: 10.7910/dvn/gpjdy6/mzv8mh
title: DZ_Traders__2017_sec_b_interviewee.tab

description: .csv formatted data file
DOI: 10.7910/dvn/gff78k/adbyq5
title: data_impeach.tab

description: Data for impeachment example in .csv format.
DOI: 10.7910/dvn/gff78k/d6lzoc
title: codebook.pdf

description: Describes all variables.
DOI: 10.7910/dvn/gff78k/mllbnn
title: analysis_main.R

description: Performs analysis for studies 1-3.
DOI: 10.7910/dvn/gff78k/riqnhi
title: analysis_impeach.R

description: Performs analysis for the impeachment example.
DOI: 10.7910/dvn/gff78k/tghxbg
title: data_impeach.rds

description: Data for impeachment example in .rds format.
DOI: 10.7483/opendata.cms.mg7f.i4q9
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title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2600_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
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title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
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DOI: 10.7483/opendata.cms.g8rk.jh02
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.03uv.r1pg
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.su5h.9c84
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.pvyt.d35a
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.em8j.zbkd
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.rkhz.3w4b
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.b4db.kyyf
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.v9xy.oykf
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0m33.esuf
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qd5s.ryc5
title: /NMSSM_XToYHTo2W2BTo2Q1L1Nu2B_MX-2800_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM