cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/5vnsxe/hfcreq
title: Fig.1F-iii.lsm
DOI: 10.7910/dvn/5vnsxe/mnz0ku
title: Fig.1F-ii.lsm
DOI: 10.7910/dvn/5vnsxe/uj2kdf
title: Fig.1F-i.lsm
DOI: 10.7910/dvn/mnk26u/7bpzai
title: figureA1.pdf
DOI: 10.7910/dvn/mnk26u/euq1qx
title: figureA3b.pdf
DOI: 10.7910/dvn/mnk26u/ll7fwz
title: figureA3a.pdf
DOI: 10.7910/dvn/mnk26u/mdxlup
title: figureA2.pdf
DOI: 10.7910/dvn/mnk26u/p1ydga
title: corbacho-4.R
DOI: 10.7910/dvn/mnk26u/xprf2o
title: harden-replication.R
DOI: 10.7910/dvn/5vnsxe/4yiatv
title: Fig.2G.tif
DOI: 10.7910/dvn/5vnsxe/nphee1
title: Fig.2-figure supplement 2F.lsm
DOI: 10.7910/dvn/5vnsxe/ppopem
title: Fig.2D-iv.lsm
DOI: 10.7910/dvn/5vnsxe/rojcwr
title: Fig.3C-ii.lsm
DOI: 10.7910/dvn/5vnsxe/ymenah
title: Fig.2-figure supplement 2C.lsm
DOI: 10.7910/dvn/mnk26u/k1gbqq
title: qualtrics.dta
DOI: 10.7910/dvn/mnk26u/s3ydpy
title: meta-analysis-data.tab
DOI: 10.7910/dvn/mnk26u/sw3lwd
title: sd.tab
DOI: 10.7910/dvn/mnk26u/wubbml
title: prophecyAJPS.txt
DOI: 10.7910/dvn/mnk26u/xnwm0e
title: readme.txt
DOI: 10.7910/dvn/mnk26u/ztis8t
title: harden-replication.tab
DOI: 10.7910/dvn/5vnsxe/4acnjs
title: Fig.4F-i.lsm
DOI: 10.7910/dvn/5vnsxe/ic4iig
title: Fig.3C-i.lsm
DOI: 10.7910/dvn/5vnsxe/l0zd17
title: Fig.5B-iii.tif
DOI: 10.7910/dvn/5vnsxe/neipcy
title: Fig.4C-i.lsm
DOI: 10.7910/dvn/5vnsxe/p3lkkc
title: Fig.4C-ii.lsm
DOI: 10.7910/dvn/5vnsxe/zfjpm2
title: Fig.4F-ii.lsm
DOI: 10.7910/dvn/ezrylt/3b54ct
title: psndata_deidentified_1496.xlsx
DOI: 10.7910/dvn/ezrylt/prnqxh
title: appdata_deidentified_12964.xlsx
DOI: 10.7910/dvn/mnk26u/5s2hc9
title: table4-itt.tab
DOI: 10.7910/dvn/mnk26u/opwaxg
title: study_2.tab
DOI: 10.7910/dvn/mnk26u/xwh9cb
title: table4-cace.tab
DOI: 10.7910/dvn/5vnsxe/barjzj
title: Fig.5C-iv.lsm
DOI: 10.7910/dvn/5vnsxe/ev8pyb
title: Fig.5C-iii.lsm
DOI: 10.7910/dvn/5vnsxe/rr3quq
title: Fig.5C-i.lsm
DOI: 10.7910/dvn/5vnsxe/rw2qkp
title: Fig.5B-i.tif
DOI: 10.7910/dvn/5vnsxe/tqeoqo
title: Fig.5B-ii.tif
DOI: 10.7910/dvn/5vnsxe/xl8qap
title: Fig.5C-ii.lsm
DOI: 10.7910/dvn/5vnsxe/76d5nb
title: Fig.6B-iii.lsm
DOI: 10.7910/dvn/5vnsxe/8je3gs
title: Fig.6B-iv.lsm
DOI: 10.7910/dvn/5vnsxe/cn4hmh
title: Fig.6B-ii.lsm
DOI: 10.7910/dvn/5vnsxe/gdblzc
title: Fig.5C-vi.lsm
DOI: 10.7910/dvn/5vnsxe/qkahvp
title: Fig.5C-v.lsm
DOI: 10.7910/dvn/5vnsxe/s58km5
title: Fig.6B-i.lsm
DOI: 10.7910/dvn/5vnsxe/5gbktu
title: Fig.6-Supplement 1B-i.tif
DOI: 10.7910/dvn/5vnsxe/a7posd
title: Fig.7D-iii.lsm
DOI: 10.7910/dvn/5vnsxe/c5afzn
title: Fig.6-Supplement 1B-ii.tif
DOI: 10.7910/dvn/5vnsxe/gqedmz
title: Fig.6B-v.lsm
DOI: 10.7910/dvn/5vnsxe/odnekw
title: Fig.6B-vi.lsm
DOI: 10.7910/dvn/5vnsxe/b4stun
title: Fig.8C-i.lsm
DOI: 10.7910/dvn/5vnsxe/j3cvb0
title: Fig.7D-i.lsm
DOI: 10.7910/dvn/5vnsxe/ocpu9q
title: Fig.8C-ii.lsm
DOI: 10.7910/dvn/5vnsxe/onzjxu
title: Fig.8G-i-ii-iii.tif
DOI: 10.7910/dvn/5vnsxe/owimcz
title: Fig.7D-iv.lsm
DOI: 10.7910/dvn/5vnsxe/u4ed5h
title: Fig.7D-ii.lsm
DOI: 10.7910/dvn/2jrhn6/9kz2wd
title: keiserShapiro_DataFiles.zip
DOI: 10.7910/dvn/5vnsxe/o0s8m6
title: Fig.8G-iv-v-vi.tif
DOI: 10.7910/dvn/cduyvh
title: The effect of working memory capacity on word recognition speed in Arabic second grade readers.

description: The current study examined the effect of working memory capacity (WMC) on word recognition speed (WRS) in Arabic second grade readers. We start from the hypothesis that WRS performance depends on WMC. Two groups of good and poor readers were tested on measures of WMC and WRS.The results show that high working memory (WM) span readers are more rapid in word recognition (WR) than low WM span readers. We found also high correlations between WMC and WRS, which means that WMC can be a good predictor of word recognition ability in Arabic orthography. Keywords: Word recognition speed; working memory capacity; Arabic orthography.
DOI: 10.7910/dvn/upjm6d/mk9uok
title: gas_dust_KT_map.fits
DOI: 10.7910/dvn/upjm6d/spjman
title: DIB_KT_map.fits
DOI: 10.17632/gxr8rbz4jd.2
title: Data for: Research on green roofs decision-making based on the evaluation of provision and demand potential of ecosystem services——Taking the Guangzhou downtown area as an example

description: We use spatially multi-source data come from a lot of open-source data websites to evaluate Ecosystem services demand in the Guangzhou downtown area, including:
(1)Population density grid data. Source: https://www.worldpop.org/. Accessed April 7, 2021.
(2)POI vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(3)Road vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(4)Building vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(5)Landsat 8 data.Source: https://www.usgs.gov/. Accessed April 24, 2021.
(6)Land cover map. Source: http://globeland30.org/home.html. Accessed April 19, 2021.
(7)Air Quality Index(AQI). Source: http://www.cnemc.cn/. Accessed April 28, 2021.
(8) Sentinel-2 data.. Source: https://scihub.copernicus.eu/. Accessed January 14, 2021.
DOI: 10.17632/gxr8rbz4jd.3
title: Data for: Decision-making of green roofs based on the evaluation of provision and demand potential of ecosystem services——Taking the main city of Guangzhou, China, as an example

description: Data for: Decision-making of green roofs based on the evaluation of provision and demand potential of ecosystem services——Taking the main city of Guangzhou, China, as an example

We use multi open-source spatial data from various websites to evaluate ecosystem services demand in the main city of Guangzhou, China. The data includes:
(1)Population density data (100m resolution). Source: https://www.worldpop.org/. Accessed April 7, 2021.
(2)POI vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(3)Road vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(4)Building vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(5)Landsat 8 data (30m resolution). Source: https://www.usgs.gov/. Accessed April 24, 2021.
(6)Land cover map (30m resolution). Source: http://globeland30.org/home.html. Accessed April 19, 2021.
(7)Air Quality Index (AQI). Source: http://www.cnemc.cn/. Accessed April 28, 2021.
(8) Sentinel-2 data (10m resolution). Source: https://scihub.copernicus.eu/. Accessed January 14, 2021.
DOI: 10.17632/gxr8rbz4jd.4
title: Data for: Decision-making of green roofs based on the evaluation of provision and demand potential of ecosystem services——Taking the main city of Guangzhou, China, as an example

description: Data for: Decision-making of green roofs based on the evaluation of provision and demand potential of ecosystem services——Taking the main city of Guangzhou, China, as an example

We use multi open-source spatial data from various websites to evaluate ecosystem services demand in the main city of Guangzhou, China. The data includes:
(1)Population density data (100m resolution). Source: https://www.worldpop.org/. Accessed April 7, 2021.
(2)POI vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(3)Road vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(4)Building vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(5)Landsat 8 data (30m resolution). Source: https://www.usgs.gov/. Accessed April 24, 2021.
(6)Land cover map (30m resolution). Source: http://globeland30.org/home.html. Accessed April 19, 2021.
(7)Air Quality Index (AQI). Source: http://www.cnemc.cn/. Accessed April 28, 2021.
(8) Sentinel-2 data (10m resolution). Source: https://scihub.copernicus.eu/. Accessed January 14, 2021.
DOI: 10.17632/gxr8rbz4jd.5
title: Data for: Decision-making of green roofs based on the evaluation of provision and demand potential of ecosystem services——Taking the main city of Guangzhou, China, as an example

description: Data for: Decision-making of green roofs based on the evaluation of provision and demand potential of ecosystem services——Taking the main city of Guangzhou, China, as an example

We use multi open-source spatial data from various websites to evaluate ecosystem services demand in the main city of Guangzhou, China. The data includes:
(1) Population density data (100m resolution). Source: https://www.worldpop.org/. Accessed April 7, 2021.
(2) POI vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(3) Road vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(4) Building vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(5) Landsat 8 data (30m resolution). Source: https://www.usgs.gov/. Accessed April 24, 2021.
(6) Land cover map (30m resolution). Source: http://globeland30.org/home.html. Accessed April 19, 2021.
(7) Air Quality Index (AQI). Source: http://www.cnemc.cn/. Accessed April 28, 2021.
(8) Sentinel-2 data (10m resolution). Source: https://scihub.copernicus.eu/. Accessed January 14, 2021.
DOI: 10.7910/dvn/pwc5ey/4vqkpm
title: DArT - Metadata.tab

description: Metadata for the DArT Report-DRoh16-2085 dataset
DOI: 10.17632/gxr8rbz4jd.1
title: Data for: Research on green roofs decision-making based on the evaluation of provision and demand potential of ecosystem services——Taking the Guangzhou downtown area as an example

description: We use spatially multi-source data come from a lot of open-source data websites to evaluate Ecosystem services demand in the Guangzhou downtown area, including:
(1)Population density grid data. Source: https://www.worldpop.org/. Accessed April 7, 2021.
(2)POI vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(3)Road vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(4)Building vector data. Source: https://ditu.amap.com/. Accessed March 8, 2021.
(5)Landsat 8 data.Source: https://www.usgs.gov/. Accessed April 24, 2021.
(6)Land cover map. Source: http://globeland30.org/home.html. Accessed April 19, 2021.
(7)Air Quality Index(AQI). Source: http://www.cnemc.cn/. Accessed April 28, 2021.
(8) Sentinel-2 data.. Source: https://scihub.copernicus.eu/. Accessed January 14, 2021.
DOI: 10.7910/dvn/pwc5ey/oveqbl
title: DArT Report-DRoh16-2085.tab

description: Data file containing 9162 SNP and 14 411 silicoDArT genotype scores and respective marker sequence
DOI: 10.17632/gxr8rbz4jd.6
title: Data for: Decision analysis for Green Roof Types and Layout with Optimal Expected Benefits of Ecosystem Services in High-Density Cities: A Case Study in the Central City of Guangzhou, China.

description: Data for: Decision analysis for Green Roof Types and Layout with Optimal Expected Benefits of Ecosystem Services in High-Density Cities: A Case Study in the Central City of Guangzhou, China.
We use multi open-source spatial data from various websites to evaluate ecosystem services demand in the main city of Guangzhou, China. 
The data includes:
(1)Carbon dioxide (CO₂) emissions. Source: https://edgar.jrc.ec.europa.eu/. Accessed July 25, 2024.
(2)Precipitation. Source: http://www.geodata.cn. Accessed July 19, 2024.
(3)Air Quality Index (AQI). Source: http://www.cnemc.cn/. Accessed July 28, 2024.
(4)Landsat 8 and 9 satellite imagery (30m resolution). Source: https://www.usgs.gov/. Accessed July 24, 2024. 
(5)Digital Elevation Model (DEM). Source: https://www.gscloud.cn/. Accessed July 20, 2024. 
(6)Land cover (30m resolution). Source: http://globeland30.org/home.html. Accessed July 19, 2024.
(7)Road vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024.
(8)Building vector data. Source: https://lbsyun.baidu.com/products/map. Accessed Juanuary 8, 2024.
(9)Population Density (100m resolution). Source: https://www.worldpop.org/. Accessed April July 10, 2024.
(10)POl vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024.
DOI: 10.7910/dvn/6nbkr8/keqfql
title: Video games listed.xls
DOI: 10.17632/cfnsrt63g7.1
title: EZH2 inhibition sensitizes MYC-high medulloblastoma cancers to PARP inhibition by regulating NUPR1-mediated DNA repair

description: The differentially expressed genes from the RNA-seq
DOI: 10.7910/dvn/uzscut/ca13j8
title: FSE_Master.tab
DOI: 10.7910/dvn/uzscut/wfjgnu
title: FSE_Replication.do
DOI: 10.7910/dvn/9e6y1m/rx1u7o
title: Efficiency of ISC of city-dyads.tab
DOI: 10.7910/dvn/uzscut/ucwyta
title: FSE_Replication_Figure_A1.R
DOI: 10.17632/32hkvvbcgf.1
title: Supplemental Material of Manuscript

description: Supplemental Material of Manuscript "Analyzing Milk Electrical Conductivity for Early Detection of Subclinical Mastitis in Chinese Holstein Cattle: A Detection Reliability and Genetic Pattern Study"
DOI: 10.17632/32hkvvbcgf.2
title: Raw data and Supplemental Material

description: Supplemental Material of Manuscript "Analyzing Milk Electrical Conductivity for Early Detection of Subclinical Mastitis in Chinese Holstein Cattle: A Detection Reliability and Genetic Pattern Study"
DOI: 10.7910/dvn/tzcj83/ocrweq
title: materials.tar.gz
DOI: 10.7910/dvn/tzcj83/umgjod
title: README.txt
DOI: 10.15468/dl.ghm8pv
title: Occurrence Download

description: A dataset containing 1944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.5735606768923",
 "DecimalLongitude is less than 7.57662023007669",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1944 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028995-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/32hkvvbcgf.3
title: Raw data and Supplemental Material of Manuscript "Comprehensive Genetic Analysis and Predictive Evaluation of Milk Electrical Conductivity for Subclinical Mastitis in Chinese Holstein Cows"

description: Raw data and Supplemental Material of Manuscript "Comprehensive Genetic Analysis and Predictive Evaluation of Milk Electrical Conductivity for Subclinical Mastitis in Chinese Holstein Cows"
DOI: 10.17632/kcrbtb775m.1
title: Long-term radiogenic heating by abortively erupted basalts triggered 120 Ma lunar volcanism

description: This is the research data related to the manuscript titled "Long-term radiogenic heating by abortively erupted basalts triggered 120 Ma lunar volcanism", including Table S1 (Major element oxide concentrations (wt%) of various Apollo glass beads in literature), Table S2 (Trace elemental abundances (ppm) of Chang’e-5 volcanic glass beads and basalt fragments, Apollo volcanic glass beads, KREEP basalts, and high-K KREEP).
DOI: 10.7910/dvn/zapwhz/9qct6b
title: Diplomatic_Embeddedness_graph 2015-10-0497.R2.eps
DOI: 10.7910/dvn/zapwhz/crk2l6
title: New_dataset 2015-10-0497.R2.dta
DOI: 10.7910/dvn/zapwhz/cuj59c
title: Datset_used_for_Lake_regression 2015-10-0497.R2.dta
DOI: 10.7910/dvn/zapwhz/tnnwut
title: Log_file__1_-_Lake_replication 2015-10-0497.R2.smcl
DOI: 10.7910/dvn/zapwhz/tty018
title: Log_file_2_-_New_dataset 2015-10-0497.R2.smcl
DOI: 10.7910/dvn/zapwhz/9kvuqg
title: Operations_included_in_dataset-2015-10-0497.R2.doc
DOI: 10.7910/dvn/ggn0av/hxhrpd
title: Guisinger_Saunders_Replication_Syria_2013_only.tab
DOI: 10.7910/dvn/ggn0av/mxnvcg
title: Guisinger_Saunders_Appendix 2014-11-0477.R2.docx
DOI: 10.7910/dvn/ggn0av/rkewtg
title: Guisinger_Saunders_Replication.dta
DOI: 10.7910/dvn/ggn0av/tchwfu
title: Guisinger_Saunders_Elite_Cues_Replication.do
DOI: 10.17632/565m8dpzh4.1
title: dataset

description: Survey data for the paper titled "The Impact of AI Anthropomorphism on Digital Brand Equity: A Comparative Study Based on Global and Local Brands"
DOI: 10.7910/dvn/k5mt68/f0ysco
title: Exp1CleanedR 2016-02-0109.R2.tab
DOI: 10.7910/dvn/k5mt68/g4kmus
title: Exp2Cleaned 2016-02-0109.R2.dta
DOI: 10.7910/dvn/k5mt68/iuiuw9
title: Exp1Cleaned 2016-02-0109.R2.dta
DOI: 10.7910/dvn/k5mt68/wac0d2
title: Balance_Tests 2016-02-0109.R2.R
DOI: 10.7910/dvn/k5mt68/dtpq5r
title: ReplicationData 2016-02-0109.R2.do
DOI: 10.7910/dvn/k5mt68/j2k9bh
title: Public_support_for_foreign_aid,_supplemental_materials,_10.10.16 2016-02-0109.R2.docx
DOI: 10.7910/dvn/k5mt68/l7lc3k
title: Experiment1Survey 2016-02-0109.R2.pdf
DOI: 10.7910/dvn/k5mt68/ucdmf0
title: Experiment2Survey 2016-02-0109.R2.pdf
DOI: 10.7910/dvn/k5mt68/xzebwx
title: Exp2CleanedR 2016-02-0109.R2.dta
DOI: 10.7910/dvn/lp1f7c/q0mrff
title: BPB_ 2016-01-0053.R2 Buntaine AimingAtTheWrongTargets_Replication.R
DOI: 10.7910/dvn/lp1f7c/sp1g06
title: Data_InSample Buntaine 2016-01-0053.R2.csv
DOI: 10.7910/dvn/lp1f7c/oshxpu
title: Data_OutofSample Buntaine 2016-01-0053.R2.tab
DOI: 10.7910/dvn/lp1f7c/pqo7ef
title: Supplementary_Information-2016-01-0053.R2 Buntaine.pdf
DOI: 10.7910/dvn/lp1f7c/zjhfkb
title: MetaData Buntaine 2016-01-0053.R2.pdf
DOI: 10.7910/dvn/90pr8o/gx9osy
title: Lake_HIR_CoalitionLevelResults.do
DOI: 10.7910/dvn/90pr8o/wdeoe9
title: Lake_HIR_Coalition.tab
DOI: 10.7910/dvn/90pr8o/0vohzi
title: Lake_HIR_dyadic_trade.tab
DOI: 10.7910/dvn/90pr8o/1rruji
title: Lake_HIR_Country_Yearresults.do
DOI: 10.7910/dvn/90pr8o/5hz4wl
title: Lake_HIR_dyadic_trade.do
DOI: 10.7910/dvn/90pr8o/6popek
title: Lake_HIR_ICBresults.do
DOI: 10.7910/dvn/90pr8o/apdk7c
title: Lake_HIR_Country_yearreplication.tab
DOI: 10.7910/dvn/90pr8o/vej0cb
title: Lake_HIR_ICB.tab
DOI: 10.7910/dvn/90pr8o/ngpygf
title: Lake_HIR_MIDs.tab
DOI: 10.7910/dvn/mfr950/ddcnz2
title: 2016-01-0003.R2 Benefits_and_Burdens_of_Nuclear_Latency_Data_Appendix.docx
DOI: 10.7910/dvn/w8aayk/2me2jn
title: 7.pdf
DOI: 10.7910/dvn/w8aayk/fih8ev
title: country-year.tab
DOI: 10.7910/dvn/w8aayk/fsyfzx
title: 14.pdf
DOI: 10.7910/dvn/w8aayk/hp8b7i
title: figure-2.pdf
DOI: 10.7910/dvn/w8aayk/s882vi
title: 3.pdf
DOI: 10.7910/dvn/w8aayk/yz9msy
title: 9.pdf
DOI: 10.7910/dvn/mfr950/hoo1kg
title: 2016-01-0003.R2 Benefits_and_Burdens_of_Nuclear_Latency_Dataset.xlsx
DOI: 10.7910/dvn/mfr950/igrukz
title: 2016-01-0003.R2 Benefits_and_Burdens_of_Nuclear_Latency_Replication_File.rtf
DOI: 10.7910/dvn/mfr950/kk3q36
title: 2016-01-0003.R2 Benefits_and_Burdens_of_Nuclear_Latency_Supplementary_Files-1.docx
DOI: 10.7910/dvn/w8aayk/2zpuw7
title: stm.RData
DOI: 10.7910/dvn/w8aayk/ac8oo5
title: Replication-Code.Rmd
DOI: 10.7910/dvn/w8aayk/c4cuud
title: README.txt
DOI: 10.7910/dvn/w8aayk/thnzgy
title: interaction_plots.R
DOI: 10.7910/dvn/w8aayk/zfnune
title: figure-3.pdf
DOI: 10.7910/dvn/3euz4g/ermigy
title: Data for figure 3.dta
DOI: 10.7910/dvn/w8aayk/4rabke
title: table-12.html
DOI: 10.7910/dvn/w8aayk/7qk3jl
title: Supporting_Information 2016-09-0431.R2.docx
DOI: 10.7910/dvn/w8aayk/cabgxd
title: table-13.html
DOI: 10.7910/dvn/w8aayk/jun3kh
title: table-10.html
DOI: 10.7910/dvn/w8aayk/oypiek
title: table-14.html
DOI: 10.7910/dvn/w8aayk/vfggji
title: table-11.html
DOI: 10.7910/dvn/3euz4g/0nnkzs
title: Economic Incentives and the Effectiveness of Non-Proliferation Norms German Major Conventional Arms Transfers 1953-2013.dta
DOI: 10.7910/dvn/3euz4g/1x7ddr
title: Figure2 2016-07-0348.R2.tiff
DOI: 10.7910/dvn/3euz4g/qnclyh
title: Figure4 2016-07-0348.R2.tiff
DOI: 10.7910/dvn/3euz4g/vcyidg
title: Figure3 2016-07-0348.R2.tif
DOI: 10.7910/dvn/3euz4g/watpej
title: Economic Incentives and the Effectiveness of Non-Proliferation Norms German Major Conventional Arms Transfers 1953-2013.do
DOI: 10.7910/dvn/3euz4g/ypnlgx
title: Figure1 2016-07-0348.R2.tiff
DOI: 10.7910/dvn/w8aayk/5dzevq
title: table-15.html
DOI: 10.7910/dvn/w8aayk/6pkjje
title: table-19.html
DOI: 10.7910/dvn/w8aayk/baxexm
title: table-18.html
DOI: 10.7910/dvn/w8aayk/opa1xj
title: table-16.html
DOI: 10.7910/dvn/w8aayk/qbrqdt
title: table-17.html
DOI: 10.7910/dvn/3euz4g/fqwrxa
title: FigureA3 2016-07-0348.R2.tiff
DOI: 10.7910/dvn/3euz4g/gtgoc4
title: FigureA1 2016-07-0348.R2.tiff
DOI: 10.7910/dvn/3euz4g/kzety2
title: Online_Supplementary_final 2016-07-0348.R2.pdf
DOI: 10.7910/dvn/3euz4g/rocrxu
title: FigureA2 2016-07-0348.R2.tiff
DOI: 10.7910/dvn/uvc4ci/jjdgvd
title: ReplicationData.tab
DOI: 10.7910/dvn/uvc4ci/zen6ty
title: DiplomacyProofs.pdf
DOI: 10.7910/dvn/w8aayk/8ve0wc
title: table-20.html
DOI: 10.7910/dvn/w8aayk/ddyzbq
title: table-23.html
DOI: 10.7910/dvn/w8aayk/f5wxc4
title: table-1.html
DOI: 10.7910/dvn/w8aayk/skfehj
title: table-24.html
DOI: 10.7910/dvn/w8aayk/t9kzhl
title: table-21.html
DOI: 10.7910/dvn/w8aayk/ywtaxp
title: table-22.html
DOI: 10.7910/dvn/uvc4ci/22rn1a
title: ReplicationScript.R
DOI: 10.7910/dvn/uvc4ci/jt0rxt
title: ReplicationInstructions.txt
DOI: 10.7910/dvn/w8aayk/h5wvv9
title: table-3.html
DOI: 10.7910/dvn/w8aayk/qby9cu
title: table-2.html
DOI: 10.7910/dvn/w8aayk/sagsnc
title: table-26.html
DOI: 10.7910/dvn/w8aayk/soau5y
title: table-27.html
DOI: 10.7910/dvn/w8aayk/xsh2fb
title: table-25.html
DOI: 10.7910/dvn/w8aayk/5wetv4
title: table-9.html
DOI: 10.7910/dvn/w8aayk/c1ettp
title: table-5.csv
DOI: 10.7910/dvn/w8aayk/mhoffg
title: table-4.html
DOI: 10.7910/dvn/w8aayk/riqaqk
title: table-8.html
DOI: 10.7910/dvn/w8aayk/s7qel7
title: table-7.html
DOI: 10.7910/dvn/w8aayk/z5iht3
title: table-6.html
DOI: 10.7910/dvn/xvaewg/34z2nd
title: iaea_tc_dataset.tab
DOI: 10.7910/dvn/xvaewg/hmngfs
title: IAEATC_finalversion_Appendix.docx
DOI: 10.7910/dvn/xvaewg/tw24iv
title: iaea-tc-replication.do
DOI: 10.7910/dvn/nzcgyx/8uhl4p
title: firm_industry_country.tab
DOI: 10.7910/dvn/nzcgyx/9vukej
title: country_level_data_for_HLM_models.tab
DOI: 10.7910/dvn/nzcgyx/asqodg
title: industry_country_no_outliers.tab
DOI: 10.7910/dvn/nzcgyx/ishrkl
title: data_for_scatter_plots.tab
DOI: 10.7910/dvn/nzcgyx/8gf3qb
title: README.tab
DOI: 10.7910/dvn/nzcgyx/joahtb
title: industry_country.tab
DOI: 10.7910/dvn/nzcgyx/nt81ky
title: Queralt_ 2015-06-0279.R2PFTC_ISQ_Appendix_RR_round_2-1.pdf
DOI: 10.7910/dvn/nzcgyx/rcdhjt
title: inflation_rate.tab
DOI: 10.7910/dvn/nzcgyx/u5rsls
title: industry_level_data_for_HLM_models.tab
DOI: 10.7910/dvn/nzcgyx/2poe2l
title: Replication_HLM.r
DOI: 10.7910/dvn/nzcgyx/3wptok
title: Replication_firm_level_appendix.do
DOI: 10.7910/dvn/nzcgyx/7xnvf4
title: Replication_datasets.do
DOI: 10.7910/dvn/nzcgyx/j3upqc
title: Replication_outliers.r
DOI: 10.7910/dvn/nzcgyx/pylnm3
title: Replication_OLS.do
DOI: 10.7910/dvn/nzcgyx/vkexqo
title: Replication_descriptive.do
DOI: 10.7910/dvn/2dlcpz/1eywmm
title: csumm.tex
DOI: 10.7910/dvn/2dlcpz/f4aoua
title: div1014.tex
DOI: 10.7910/dvn/2dlcpz/jdrmp2
title: disagginputs.tex
DOI: 10.7910/dvn/2dlcpz/yf4wba
title: alltradeindices.tex
DOI: 10.7910/dvn/nzcgyx/jdmg4x
title: Replication_threeway_OLS.r
DOI: 10.7910/dvn/nzcgyx/n7qwqr
title: Replication_sector_level_appendix.do
DOI: 10.7910/dvn/nzcgyx/pjm0l4
title: Replication_scatterplots.r
DOI: 10.7910/dvn/2dlcpz/3ocpej
title: div2cutoff.tex
DOI: 10.7910/dvn/2dlcpz/oelqnk
title: div4cutoff.tex
DOI: 10.7910/dvn/2dlcpz/qi6ivm
title: divindices1014.tex
DOI: 10.7910/dvn/2dlcpz/tbtnbr
title: divindices2cutoff.tex
DOI: 10.7910/dvn/2dlcpz/wpfoay
title: divbefore.tex
DOI: 10.7910/dvn/kmrvwy/azdl4c
title: 2015-05-0216.R2 do_file_for_Thailand_replication.do
DOI: 10.7910/dvn/kmrvwy/d1gw8o
title: 2015-05-0216.R2 Supplementary_file_describing_survey_data.docx
DOI: 10.7910/dvn/kmrvwy/h6qk49
title: 2015-05-0216.R2 Rumor_Has_It--_Thailand_replication_data.dta
DOI: 10.7910/dvn/kmrvwy/muuclk
title: 2015-05-0216.R2 Readme--_Greenhill_Oppenheim_Rumor_Has_It-1.rtf
DOI: 10.7910/dvn/kmrvwy/rwthtr
title: 2015-05-0216.R2 Rumor_Has_It--_Philippines_replication_data.dta
DOI: 10.7910/dvn/2dlcpz/03s0jb
title: divindicesMANU.tex
DOI: 10.7910/dvn/2dlcpz/ect15w
title: divindicesROB2.tex
DOI: 10.7910/dvn/2dlcpz/gniezj
title: divindices.tex
DOI: 10.7910/dvn/2dlcpz/hguxal
title: divindices4cutoff.tex
DOI: 10.7910/dvn/2dlcpz/sgqnxi
title: divindicesROB.tex
DOI: 10.7910/dvn/2dlcpz/ykq3py
title: divindicesbefore.tex
DOI: 10.7910/dvn/qubp7m/uityke
title: A.Online_Appendix(1).docx
DOI: 10.7910/dvn/2dlcpz/0dfzng
title: divMANU.tex
DOI: 10.7910/dvn/2dlcpz/6uydjk
title: IFoT_allpos_data.tab
DOI: 10.7910/dvn/2dlcpz/7qtrrt
title: div.tex
DOI: 10.7910/dvn/2dlcpz/hbilcl
title: divROB2.tex
DOI: 10.7910/dvn/2dlcpz/qrneev
title: divROB.tex
DOI: 10.7910/dvn/qubp7m/e84irz
title: Stage_1.do
DOI: 10.7910/dvn/qubp7m/i8xyv2
title: Stage_1.dta
DOI: 10.7910/dvn/qubp7m/kprnj7
title: Stage_2.do
DOI: 10.7910/dvn/qubp7m/qfqc3i
title: Stage_2.dta
DOI: 10.7910/dvn/2dlcpz/5mrjtp
title: IFoT_repcode_alltrade-1.R
DOI: 10.7910/dvn/2dlcpz/mjpj1i
title: IFoT_fta_data.csv