cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/1732lm/khq5cm
title: Quantitative Data - The Assessment of Species and Performances in Small-scale Shrimp Farming in Aceh, Indonesia.xlsx

description: :unav
DOI: 10.7910/dvn/z6ezg3/gkmlsd
title: Code for JPP replication.do
DOI: 10.7910/dvn/z6ezg3/vjecvv
title: JPP_replication_data.tab
DOI: 10.7910/dvn/4ekhfm/gwdtnm
title: replication.tar.gz
DOI: 10.15468/dl.73jqds
title: Occurrence Download

description: A dataset containing 3038 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 7.60721576192064",
 "DecimalLongitude is less than 7.61027531510504",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3038 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029016-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mxve4
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Observation, Occurrence evidence, Living Specimen)",
 "Country is Mexico",
 "Geometry POLYGON((-100.45816 18.21309,-96.25431 18.08699,-97.46944 20.40743,-98.6672 21.10315,-99.92438 20.40743,-100.45816 18.21309))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "Month is one of (July, April, May)",
 "TaxonKey is Liquidambar styraciflua L.",
 "Year 1990-2024"
 ]
}

 The dataset includes 49 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029017-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/wpvsmh/aocwsi
title: cand_merge_data.tab
DOI: 10.7910/dvn/wpvsmh/yn81bx
title: Banco Boston University (2577 casos).tab
DOI: 10.7910/dvn/wpvsmh/zss67j
title: Banco de Dados - Projeto Boston University (3193 CASOS).tab
DOI: 10.7910/dvn/wpvsmh/6x9bmd
title: cands1216_potential_dynasties.tab
DOI: 10.7910/dvn/wpvsmh/bfonl5
title: competitiveness_2012.tab
DOI: 10.7910/dvn/wpvsmh/ivofhr
title: data_cleaning_functions.R
DOI: 10.7910/dvn/wpvsmh/jeb4eb
title: data_questionnaire_panel_r2.tab
DOI: 10.7910/dvn/wpvsmh/spp6pl
title: codebook.pdf
DOI: 10.7910/dvn/wpvsmh/47eujf
title: data_questionnaire_pilot.tab
DOI: 10.7910/dvn/wpvsmh/8h0sfs
title: data_questionnaire_r2_english.tab
DOI: 10.7910/dvn/wpvsmh/8iqyyw
title: data_questionnaire_panel.tab
DOI: 10.7910/dvn/wpvsmh/egu80q
title: data_rosettastone.tab
DOI: 10.7910/dvn/wpvsmh/qcuwbd
title: data_questionnaire_r1_english.tab
DOI: 10.7910/dvn/wpvsmh/wbo4qb
title: data_questionnaire_pilot_english.tab
DOI: 10.7910/dvn/wpvsmh/99kmte
title: elec_results_full.tab
DOI: 10.7910/dvn/wpvsmh/ckjdbm
title: endline_cleaned.tab
DOI: 10.7910/dvn/wpvsmh/nzx7yr
title: elec_results.tab
DOI: 10.7910/dvn/wpvsmh/rswiuk
title: estimation_functions.R
DOI: 10.7910/dvn/wpvsmh/sinfki
title: incumb_results.tab
DOI: 10.7910/dvn/wpvsmh/agsxp4
title: panel_muni_sample_results.tab
DOI: 10.7910/dvn/wpvsmh/anjiok
title: norms_vs_action_replication.zip
DOI: 10.7910/dvn/wpvsmh/bm1z2f
title: panel_cleaned.tab
DOI: 10.7910/dvn/wpvsmh/exylr0
title: norms_vs_action_replication.R
DOI: 10.7910/dvn/wpvsmh/l2qkm1
title: lapop_corruption.RData
DOI: 10.7910/dvn/wpvsmh/yanqqn
title: panel_data_cleaning_code.R
DOI: 10.7910/dvn/hbqqve/pvqqek
title: 01. AgriculturalExtensionServices.tab
DOI: 10.7910/dvn/v8dlyr/7qnja5
title: CCES16_Common_OUTPUT_Feb2018_VV.tab
DOI: 10.7910/dvn/v8dlyr/dr002f
title: CCES12_Common_VV.RData
DOI: 10.7910/dvn/v8dlyr/smeq6k
title: cces_2008_common.RData
DOI: 10.7910/dvn/wpvsmh/1fk5xz
title: pe_results_12.tab
DOI: 10.7910/dvn/wpvsmh/il9snx
title: panel_muni_sample.tab
DOI: 10.7910/dvn/wpvsmh/yppnfe
title: pe_cand_data_12_16.tab
DOI: 10.7910/dvn/hbqqve/2qtsz5
title: 03. AgriculturalProduction_plot_repeat_begin_level_2.tab
DOI: 10.7910/dvn/hbqqve/jkee5h
title: 05. AgriculturalProduction_group_crop_i_croptype_level_4.tab
DOI: 10.7910/dvn/hbqqve/s2u1by
title: 04. AgriculturalProduction_crop_level_3.tab
DOI: 10.7910/dvn/hbqqve/xyjksp
title: 02. AgriculturalProduction_level_1.tab
DOI: 10.7910/dvn/v8dlyr/6bfgpb
title: dataAnalysis12_Inc.R
DOI: 10.7910/dvn/v8dlyr/dcw9ee
title: dataAnalysis12_Gas.R
DOI: 10.7910/dvn/v8dlyr/mfx2t3
title: Combined Economic Data File.tab
DOI: 10.7910/dvn/v8dlyr/nyqb5g
title: dataAnalysis08_Inc.R
DOI: 10.7910/dvn/v8dlyr/tzgo7z
title: dataAnalysis08_Gas.R
DOI: 10.7910/dvn/v8dlyr/v1a5ct
title: dataAnalysis08_Unemp.R
DOI: 10.7910/dvn/wpvsmh/0jac9s
title: pe_votacao_2012.csv
DOI: 10.7910/dvn/wpvsmh/qrnyy0
title: pilot_data.tab
DOI: 10.7910/dvn/wpvsmh/vn5hcj
title: pe_surnames.RData
DOI: 10.7910/dvn/wpvsmh/zbttf4
title: pe_secao_results.tab
DOI: 10.7910/dvn/hbqqve/c5t1wl
title: 08. BadShocks_event_repeat_level_2.tab
DOI: 10.7910/dvn/hbqqve/kdaogx
title: 11. Cosmetics_item_repeat_level_2.tab
DOI: 10.7910/dvn/hbqqve/kx9s6n
title: 06. AgriculturalSubsidyCard.tab
DOI: 10.7910/dvn/hbqqve/vhso9z
title: 09. ClimateEvent.tab
DOI: 10.7910/dvn/hbqqve/wmtztj
title: 10. Cosmetics_level_1.tab
DOI: 10.7910/dvn/hbqqve/ylodk3
title: 07. BadShocks_level_1.tab
DOI: 10.7910/dvn/v8dlyr/cnqalt
title: dataAnalysis16_Unemp.R
DOI: 10.7910/dvn/v8dlyr/itznl7
title: dataAnalysis12_Unemp.R
DOI: 10.7910/dvn/v8dlyr/nieqyx
title: dataSetup12.R
DOI: 10.7910/dvn/v8dlyr/oveobq
title: dataSetup16.R
DOI: 10.7910/dvn/v8dlyr/puzwnc
title: dataSetup08.R
DOI: 10.7910/dvn/wpvsmh/6bemn0
title: questionnaire_r1_english.pdf
DOI: 10.7910/dvn/wpvsmh/ja5mro
title: questionnaire_pilot_english.pdf
DOI: 10.7910/dvn/wpvsmh/jmq5jy
title: qual_pe_muni_case_studies.tab
DOI: 10.7910/dvn/wpvsmh/mubl1o
title: pilot_muni_sample.tab
DOI: 10.7910/dvn/wpvsmh/qcodti
title: questionnaire_r1_portuguese.pdf
DOI: 10.7910/dvn/hbqqve/1fbep7
title: 12. Crops_level_1.tab
DOI: 10.7910/dvn/hbqqve/amm7bs
title: 15. Crops_group_crop_i_croptype_level_4.tab
DOI: 10.7910/dvn/hbqqve/iy9cab
title: 13. Crops_plot_repeat_begin_level_2.tab
DOI: 10.7910/dvn/hbqqve/nk8avp
title: 16. CurrentMigrants_level_1.tab
DOI: 10.7910/dvn/hbqqve/so7mty
title: 14. Crops_crop_level_3.tab
DOI: 10.7910/dvn/hbqqve/tozcxr
title: 17. CurrentMigrants_begin_repeat_mig_level_2.tab
DOI: 10.7910/dvn/v8dlyr/ajutpz
title: gas2012Sep.tab
DOI: 10.7910/dvn/v8dlyr/mzhggq
title: Foreclosure2012Reduced.tab
DOI: 10.7910/dvn/v8dlyr/n32bmc
title: IncomeData0807.tab
DOI: 10.7910/dvn/v8dlyr/nb4i9x
title: gas2012Oct.tab
DOI: 10.7910/dvn/v8dlyr/omh3lp
title: IncomeData1211.tab
DOI: 10.7910/dvn/v8dlyr/vhibfm
title: gas2012Aug.tab
DOI: 10.7910/dvn/wpvsmh/fum5ti
title: sample_pilot.tab
DOI: 10.7910/dvn/wpvsmh/fxtdkv
title: readme.txt
DOI: 10.7910/dvn/wpvsmh/ndcueo
title: results_mayors_2016.tab
DOI: 10.7910/dvn/wpvsmh/rc4feb
title: sample_pilot_replace.tab
DOI: 10.7910/dvn/wpvsmh/tm6umz
title: questionnaire_r2_portuguese.pdf
DOI: 10.7910/dvn/wpvsmh/xwqesz
title: questionnaire_r2_english.pdf
DOI: 10.7910/dvn/hbqqve/0o3oyg
title: 19. DrinkingWater_source_level_2.tab
DOI: 10.7910/dvn/hbqqve/1dmmei
title: 22. FertilizersAndPesticides_level_1.tab
DOI: 10.7910/dvn/hbqqve/li8fcl
title: 18. DrinkingWater_level_1.tab
DOI: 10.7910/dvn/hbqqve/mvzeav
title: 20. Facilities_level_1.tab
DOI: 10.7910/dvn/hbqqve/xbkflt
title: 21. Facilities_facility_repeat_level_2.tab
DOI: 10.7910/dvn/v8dlyr/4h0s1u
title: LAUS_CountyData_Unemp1211.tab
DOI: 10.7910/dvn/v8dlyr/djxdrw
title: LAUS_CountyData_Unemp1615.tab
DOI: 10.7910/dvn/v8dlyr/gzlx3s
title: IncomeData1615.tab
DOI: 10.7910/dvn/v8dlyr/pm8n79
title: LAUS_CountyData_Unemp0807.tab
DOI: 10.7910/dvn/v8dlyr/qee9ze
title: Model1_2008.bug
DOI: 10.7910/dvn/v8dlyr/yg3ukm
title: intervalEst.R
DOI: 10.7910/dvn/wpvsmh/ard3om
title: Weitz-ShapiroWinters_JOP_Credibility_ReplicationData.tab
DOI: 10.7910/dvn/wpvsmh/m2lup6
title: WintersWeitzShapiro_2013_Replication.tab
DOI: 10.7910/dvn/cqzmzx/huzfwm
title: Full dataset for data sharing 27 OCT 2018.xlsx

description: Riboflavin in cystoscopy study data
DOI: 10.7910/dvn/hbqqve/csxghu
title: 28. FishPondInputs_begin_level_2.tab
DOI: 10.7910/dvn/hbqqve/gci4k4
title: 23. FertilizersAndPesticides_plot_repeat_begin_level_2.tab
DOI: 10.7910/dvn/hbqqve/uqmtg3
title: 25. FertilizersAndPesticides_group_crop_i_croptype_level_4.tab
DOI: 10.7910/dvn/hbqqve/vrzzqb
title: 26. FertilizersAndPesticides_rep_fert_level_5.tab
DOI: 10.7910/dvn/hbqqve/wzrqjj
title: 24. FertilizersAndPesticides_crop_level_3.tab
DOI: 10.7910/dvn/hbqqve/xo3i4o
title: 27. FishPondInputs_level_1.tab
DOI: 10.7910/dvn/ihbang/jlzjrf
title: gt-contest_precip-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/ll8cqf
title: gt-contest_pevpr.sfc.gauss-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/ushe1e
title: gt-contest_pres.sfc.gauss-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/z9x3lk
title: gt-climate_regions.h5
DOI: 10.7910/dvn/v8dlyr/48oihd
title: Model1_2008_M1.bug
DOI: 10.7910/dvn/v8dlyr/gl1sj7
title: Model1_2008_M2.bug
DOI: 10.7910/dvn/v8dlyr/htiq7r
title: Model1_2012_M1.bug
DOI: 10.7910/dvn/v8dlyr/hx3wc0
title: Model1_2008_M4.bug
DOI: 10.7910/dvn/v8dlyr/tgvajj
title: Model1_2012.bug
DOI: 10.7910/dvn/hbqqve/8imnj6
title: 30. FishPondProduction_pond_begin_repeat_level_2.1.tab
DOI: 10.7910/dvn/hbqqve/awhnd8
title: 29. FishPondProduction_level_1.tab
DOI: 10.7910/dvn/hbqqve/ebopow
title: 33. FoodDiary_level_1.tab
DOI: 10.7910/dvn/hbqqve/msx3dc
title: 31. FishPondProduction_river_repeat_level_2.2.tab
DOI: 10.7910/dvn/hbqqve/ogktgc
title: 34. FoodDiary_food_level_2.tab
DOI: 10.7910/dvn/hbqqve/syiyu2
title: 32. FishPondProduction_fish_repeat_level_3.tab
DOI: 10.7910/dvn/ihbang/dz0mqj
title: gt-contest_pr_wtr.eatm-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/fae8gw
title: gt-contest_tmax-14d-1979-2018.h5
DOI: 10.7910/dvn/ihbang/hhvfer
title: gt-contest_slp-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/if2zv1
title: gt-contest_rhum.sig995-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/sfufou
title: gt-contest_tmp2m-14d-1979-2018.h5
DOI: 10.7910/dvn/ihbang/uskebw
title: gt-contest_tmin-14d-1979-2018.h5
DOI: 10.7910/dvn/v8dlyr/2uovji
title: Model1_2016_M3.bug
DOI: 10.7910/dvn/v8dlyr/6gzgkr
title: README.rtf
DOI: 10.7910/dvn/v8dlyr/cft3si
title: Model1_2012_M4.bug
DOI: 10.7910/dvn/v8dlyr/uvzlzr
title: Model1_2016_M1.bug
DOI: 10.7910/dvn/v8dlyr/uzro4f
title: Model1_2016.bug
DOI: 10.7910/dvn/v8dlyr/yeunzx
title: Model1_2012_M2.bug
DOI: 10.7910/dvn/hbqqve/fty0da
title: 39. GoodShocks_level_1.tab
DOI: 10.7910/dvn/hbqqve/ov1jjc
title: 38. FuelLighting_item_repeat_level_2.tab
DOI: 10.7910/dvn/hbqqve/ppwnga
title: 35. Fooddiary_food_foodtype_level_3.tab
DOI: 10.7910/dvn/hbqqve/rs5sb8
title: 36. FoodStorageCapacity.tab
DOI: 10.7910/dvn/hbqqve/suy725
title: 37. FuelLighting_level_1.tab
DOI: 10.7910/dvn/ihbang/hhoe1o
title: gt-contest_wind_hgt_100-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/m9elot
title: gt-contest_wind_hgt_850-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/mjftjb
title: gt-contest_wind_hgt_500-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/vzpzpy
title: gt-contest_wind_hgt_10-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/wdgnes
title: gt-contest_wind_uwnd_250-14d-1948-2018.h5
DOI: 10.7910/dvn/v8dlyr/0m7dsk
title: step2Model2ComputingEff_2008_Gas.R
DOI: 10.7910/dvn/v8dlyr/2hhffi
title: senstivityAnalysis.R
DOI: 10.7910/dvn/v8dlyr/76azi4
title: replicateFigure4.R
DOI: 10.7910/dvn/v8dlyr/frkuwn
title: replicateFigure3.R
DOI: 10.7910/dvn/v8dlyr/hgifdo
title: replicateTables.R
DOI: 10.7910/dvn/hbqqve/1cgon7
title: 42. InformationTools_level_1.tab
DOI: 10.7910/dvn/hbqqve/9pxm41
title: 40. GoodShocks_event_repeat_level_2.tab
DOI: 10.7910/dvn/hbqqve/e5b0dn
title: 44. InformationTools_tech_use_level_3.tab
DOI: 10.7910/dvn/hbqqve/gr9l10
title: 41. HousingandSanitation.tab
DOI: 10.7910/dvn/hbqqve/mrklwn
title: 43. InformationTools_tech_level_2.tab
DOI: 10.7910/dvn/ihbang/0571vo
title: gt-elevation.h5

description: :unav
DOI: 10.7910/dvn/ihbang/8bg3r1
title: gt-contest_wind_uwnd_925-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/cwzo2h
title: gt-mjo-1d-1974-2018.h5
DOI: 10.7910/dvn/ihbang/jjfjpw
title: gt-mei-1950-2018.h5
DOI: 10.7910/dvn/ihbang/x682ak
title: gt-contest_wind_vwnd_925-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/ze85pj
title: gt-contest_wind_vwnd_250-14d-1948-2018.h5
DOI: 10.7910/dvn/v8dlyr/9m2bxn
title: step2Model2ComputingEff_2008.R
DOI: 10.7910/dvn/v8dlyr/dmvfbt
title: step2Model2ComputingEff_2012.R
DOI: 10.7910/dvn/v8dlyr/dqj1au
title: step2Model2ComputingEff_2008_Inc.R
DOI: 10.7910/dvn/v8dlyr/m7dpek
title: step2Model2ComputingEff_2012_Inc.R
DOI: 10.7910/dvn/v8dlyr/oaybje
title: step2Model2ComputingEff_2012_Gas.R
DOI: 10.7910/dvn/v8dlyr/owxbhc
title: step2Model2ComputingEff_2016.R
DOI: 10.7910/dvn/eaabyt/5tvrim
title: Greek_crisisMS2744.txt
DOI: 10.7910/dvn/eaabyt/d5od7h
title: Greek_crisisMS2744_prg
DOI: 10.7910/dvn/eaabyt/dkvegv
title: Greek_crisisMS2744.xls.bak
DOI: 10.7910/dvn/eaabyt/penijz
title: Greek_crisisMS2744.xls
DOI: 10.7910/dvn/hbqqve/7muglq
title: 45. Irrigation_level_1.tab
DOI: 10.7910/dvn/hbqqve/a0ytju
title: 48. Irrigation_group_crop_i_crop_repeat_type_level_4.tab
DOI: 10.7910/dvn/hbqqve/gverlz
title: 50. Livestock_animal_level_2.tab
DOI: 10.7910/dvn/hbqqve/r0ylss
title: 49. Livestock_level_1.tab
DOI: 10.7910/dvn/hbqqve/wdja5x
title: 46. Irrigation_plot_repeat_begin_level_2.tab
DOI: 10.7910/dvn/hbqqve/zxdz9r
title: 47. Irrigation_crop_level_3.tab
DOI: 10.7910/dvn/ihbang/3p2nml
title: gt-pca_wind_hgt_500_2010-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/duv9ud
title: gt-pca_wind_hgt_10_2010-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/jousfl
title: gt-pca_icec_2010-14d-1981-2018.h5
DOI: 10.7910/dvn/ihbang/kw9pdb
title: gt-pca_sst_2010-14d-1981-2018.h5
DOI: 10.7910/dvn/ihbang/lkkjyb
title: gt-pca_wind_hgt_100_2010-14d-1948-2018.h5
DOI: 10.7910/dvn/eaabyt/frofqv
title: Read_meMS2744.docx
DOI: 10.7910/dvn/hbqqve/3vjkip
title: 53. Marketing_level_1.tab
DOI: 10.7910/dvn/hbqqve/fdrwwm
title: 51. Loans_level_1.tab
DOI: 10.7910/dvn/hbqqve/h8moqk
title: 54. Marketing_sellrell_prod_repeat_level_2.tab
DOI: 10.7910/dvn/hbqqve/zgfcwi
title: 52. Loans_each_loan_level_2.tab
DOI: 10.7910/dvn/ihbang/6zsnmr
title: gt-pca_wind_vwnd_250_2010-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/9v61ke
title: gt-pca_wind_vwnd_925_2010-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/eqjozi
title: gt-pca_wind_uwnd_250_2010-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/p2kvnq
title: gt-pca_wind_uwnd_925_2010-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/phi22z
title: gt-wide_contest_icec-14d-1981-2018.h5
DOI: 10.7910/dvn/ihbang/wubgka
title: gt-pca_wind_hgt_850_2010-14d-1948-2018.h5
DOI: 10.7910/dvn/xfkbhr/z1sgyp
title: Non-destructive wood density assessment of Scots pine using Resistograph and Pilodyn-2.xlsx
DOI: 10.7910/dvn/hbqqve/1mouip
title: 60. OtherIncome_income_level_2.tab
DOI: 10.7910/dvn/hbqqve/im6e5h
title: 57. NonAgriculturalEnterprise_level_1.tab
DOI: 10.7910/dvn/hbqqve/nhkhpi
title: 55. MobileInternet_level_1.tab
DOI: 10.7910/dvn/hbqqve/onznmt
title: 59. OtherIncome_level_1.tab
DOI: 10.7910/dvn/hbqqve/rjndeq
title: 56. MobileInternet_app_use_level_2.tab
DOI: 10.7910/dvn/hbqqve/xgrwdi
title: 58. NonAgriculturalEnterprise_buss_level_2.tab
DOI: 10.7910/dvn/ihbang/0oejuq
title: gt-wide_contest_sst-14d-1981-2018.h5
DOI: 10.7910/dvn/ihbang/buoqhz
title: gt-wide_wind_hgt_100-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/so5y0d
title: gt-wide_wind_hgt_500-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/uf4hwf
title: gt-wide_wind_hgt_10-14d-1948-2018.h5
DOI: 10.7910/dvn/hbqqve/479dfb
title: 66. SafetyProgram_event_repeat_level_2.tab
DOI: 10.7910/dvn/hbqqve/8rbfxy
title: 64. RemittanceOut_begin_repeat_mig_level_2.tab
DOI: 10.7910/dvn/hbqqve/bfzhqu
title: 63. RemittanceOut_level_1.tab
DOI: 10.7910/dvn/hbqqve/wblqcx
title: 61. RemittanceIn_level_1.tab
DOI: 10.7910/dvn/hbqqve/wepqjl
title: 62. RemittanceIn_begin_repeat_mig_level_2.tab
DOI: 10.7910/dvn/hbqqve/wslnaq
title: 65. SafetyProgram_level_1.tab
DOI: 10.7910/dvn/ihbang/ejnctl
title: gt-wide_wind_vwnd_250-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/molbcb
title: gt-wide_wind_uwnd_925-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/ptughu
title: gt-wide_wind_hgt_850-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/rbmtay
title: gt-wide_wind_uwnd_250-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/s0i4nj
title: gt-wide_wind_vwnd_925-14d-1948-2018.h5
DOI: 10.7910/dvn/ihbang/shkjvr
title: nmme0-prate-34w-1982-2018.h5
DOI: 10.7910/dvn/hbqqve/cmzdcr
title: 70. TransportTravel_level_1.tab
DOI: 10.7910/dvn/hbqqve/exq8t4
title: 69. SubjectiveWellbeing.tab
DOI: 10.7910/dvn/hbqqve/gyowmo
title: 67. Savings_level_1.tab
DOI: 10.7910/dvn/hbqqve/vy922x
title: 68. Savings_each_savings_level_2.tab
DOI: 10.7910/dvn/ihbang/6lmgpp
title: nmme0-tmp2m-34w-1982-2018.h5
DOI: 10.7910/dvn/ihbang/hz445u
title: nmme-prate-56w-1982-2018.h5
DOI: 10.7910/dvn/ihbang/ojhdtc
title: nmme0-tmp2m-56w-1982-2018.h5
DOI: 10.7910/dvn/ihbang/tefkxy
title: nmme0-prate-56w-1982-2018.h5
DOI: 10.7910/dvn/ihbang/upzzwb
title: nmme-prate-34w-1982-2018.h5
DOI: 10.7910/dvn/ihbang/x7zkfy
title: nmme-tmp2m-34w-1982-2018.h5
DOI: 10.7910/dvn/hbqqve/3oekuq
title: 74. TransportationTools_transport_use_level_3.tab
DOI: 10.7910/dvn/hbqqve/d1owih
title: 72. TransportationTools_level_1.tab
DOI: 10.7910/dvn/hbqqve/dz2egl
title: 73. TransportationTools_transport_level_2.tab
DOI: 10.7910/dvn/hbqqve/xm1ts9
title: 71. TransportTravel_item_repeat_level_2.tab
DOI: 10.7910/dvn/ihbang/n8oopf
title: official_climatology-contest_precip-1981-2010.h5
DOI: 10.7910/dvn/ihbang/ourzht
title: nmme-tmp2m-56w-1982-2018.h5
DOI: 10.7910/dvn/ihbang/tiy7zp
title: official_climatology-contest_tmp2m-1981-2010.h5
DOI: 10.7910/dvn/hbqqve/i1opmh
title: 75. WashingCleaning_level_1.tab
DOI: 10.7910/dvn/hbqqve/n4luye
title: 76. WashingCleaning_item_repeat_level_2.tab
DOI: 10.7910/dvn/oqlddo/kmd3gh
title: Pol_Comm_BU_all.tab
DOI: 10.7910/dvn/oqlddo/vgzcph
title: Pol_Comm_BU_coal.tab
DOI: 10.7910/dvn/7zvsyo/5e50f0
title: 00-functions.R

description: A set of `R` functions used in the other scripts.
DOI: 10.7910/dvn/7zvsyo/nvjsu9
title: 02-figure3.R

description: To replicate figure 3 of the paper, showing how far hitchhiker bills get through the legislative process on their own.
DOI: 10.7910/dvn/7zvsyo/ouqvmn
title: 00A_hitchhiker_bills_dataverse.tar.gz

description: Version of the replication repository/material that follows the intended directory structure.
DOI: 10.7910/dvn/7zvsyo/q2f5ny
title: 01-figure2.R

description: Code to replicate Figure 2 of the paper, showing the number of hitchhiker bills and laws by Congress, distinguishing between important and minor bills. This code produces the figure in: `./figures/ORIGINAL_figure2_BW.png`.
DOI: 10.7910/dvn/7zvsyo/qssawn
title: 03-models.R

description: Code to replicate Figure 4, and the model coefficients in Table 4 (in Supporting Information D), showing the relationship between a set of covariates and the probability of a bill being enacted as stand-alone law, or as a hitchhiker bill. This code produces the figure in: `./figures/ORIGINAL_figure4-coefficient-plot.png`.
DOI: 10.7910/dvn/hbqqve/1imuqn
title: 80. employment_level_1.tab
DOI: 10.7910/dvn/hbqqve/fljnvs
title: 81. employment_work_done_level_2.tab
DOI: 10.7910/dvn/hbqqve/xuwzzp
title: 79. WorkAnimals_animals_use_level_3.tab
DOI: 10.7910/dvn/hbqqve/ykm0on
title: 78. WorkAnimals_animals_level_2.tab
DOI: 10.7910/dvn/hbqqve/ztvfcz
title: 77. WorkAnimals_level_1.tab
DOI: 10.7910/dvn/oqlddo/4zza9x
title: Replication_July2018.do
DOI: 10.7910/dvn/oqlddo/e0su0s
title: Pol_Comm_BU_govt.tab
DOI: 10.7910/dvn/oqlddo/efxi5k
title: Pol_Comm_BU_oppsn.tab
DOI: 10.7910/dvn/oqlddo/smnegz
title: PolComm_BU_media_pledges.tab
DOI: 10.7910/dvn/7zvsyo/7wduem
title: 06-figure7.R

description: Code to replicate Figure 7 of the paper, showing where in the legislative process hitchhiker bills get attached to target laws. This code produces the figure in: `./figures/ORIGINAL_figure7_where_hitchhiker_get_picked_up.png`.
DOI: 10.7910/dvn/7zvsyo/azxtq9
title: 05-figure6.R

description: Code to replicate Figure 6 of the paper, comparing our measure of effectivenes (legislation enacted as proportion of legislation introduced) v. Legislative Effectiveness Scores, of Volden and Weiseman. This script generates 2 figures: `./figures/ORIGINAL_figure6a-LES-vs-OUR-indiv-diff.png` and `./figures/figure6b-LES-vs-OUR-indiv-diff-FULL-DIST.png`. For the article we manually placed the second figure onto the upper right corner of the first. The first one is a truncated distribution whereas the second one illustrates the full distribution we aim to capture in this section of the article.
DOI: 10.7910/dvn/7zvsyo/ifvbgp
title: 07-supporting-info-A.R

description: Code to replicate the text pre-processing procedure described in the Supporting Information A of the paper. We remove all the procedural text and sections that should not be taken into consideration when comparing the substantive content of bills, as well as meaningless words such as stop words and other frequent tokens (e.g. section, act, secretary, etc.). For simplicity, in this script we show how to pre-process two example bills (103-HR-1-IH and 103-HR-2-RH). The same process can then be applied to pre-process all the bill versions collected for the study. The rest of the text files for each bill version can be easily downloaded from [congress.gov](http://congress.gov). The two example raw files are located in the `./data/bills/raw/` directory, and the pre-processed versions are located in `./data/bills/clean/`.
DOI: 10.7910/dvn/7zvsyo/z2me1l
title: 04-figure5.R

description: Code to replicate figure 5 of the paper, showing how counting hitchhikers as enacted legislation increases the proportion of different types of members that get at least 1 bill enacted in any given Congress. This code produces the figure in: `./figures/ORIGINAL_figure5_so_what_BW.png`
DOI: 10.7910/dvn/hbqqve/0zvm4s
title: 85. illness_level_1.tab
DOI: 10.7910/dvn/hbqqve/fwhyvz
title: 84. farmLabor_labor_repeat_level_3.tab
DOI: 10.7910/dvn/hbqqve/fxx8oq
title: 83. farmLabor_begin_repeat_plot_level_2.tab
DOI: 10.7910/dvn/hbqqve/hjuqpd
title: 82. farmLabor_level_1.tab
DOI: 10.7910/dvn/hbqqve/jk0soh
title: 86. illness_was_ill_level_2.tab
DOI: 10.7910/dvn/hbqqve/zdy6ew
title: 87. latrineUse.tab
DOI: 10.7910/dvn/7zvsyo/4kzart
title: 10-table4-supporting-information-D.R

description: Code to replicate Table 4 in Supporting Information D, where we show descriptive statistics for the variables in the statistical models we use in the paper to test our hitchhiker hypotheses.
DOI: 10.7910/dvn/7zvsyo/sxutl5
title: 09-supporting-info-C-02.R

description: Script replicating Table 3 of the paper, where we provide a summary of the hitchhiker discovered at each stage of the discovering process, as well as information about the best performing models.
DOI: 10.7910/dvn/7zvsyo/uydnzk
title: 103-HR-2-RH.txt

description: Another example of the raw text of a bill.
DOI: 10.7910/dvn/7zvsyo/wf0q97
title: 08-supporting-info-C.R

description: Code to replicate Figure 8 of the paper, where we show the distribution of the number of models (out of 99 high performing models) that predicted the same hitchhiker in the first stage of the hitchhiker discovering process. This code produces the figure in: `./figures/ORIGINAL_figure8-hitchhikers_barplot_iter1.png`.
DOI: 10.7910/dvn/7zvsyo/xlw0n1
title: 103-HR-1-IH.txt

description: An example of the raw text of a bill.
DOI: 10.7910/dvn/hbqqve/hhzsli
title: 89. latrineWalk_begin_repeat_lat_level_2.tab
DOI: 10.7910/dvn/hbqqve/jthe7t
title: 90. rentingToolsMachAn_level_1.tab
DOI: 10.7910/dvn/hbqqve/sfvvrx
title: 88. latrineWalk_level_1.tab
DOI: 10.7910/dvn/hbqqve/ykq4fp
title: 91. rentingToolsMachAn_plot_repeat_begin_level_2.tab
DOI: 10.7910/dvn/hbqqve/zo2iih
title: 92. rentingToolsMachAn_crop_level_3.tab
DOI: 10.7910/dvn/7zvsyo/emot8t
title: 11-figure9-supporting-information-D.R

description: Code to replicate Figure 9 in Supporting Information D, where we show that the key model coefficients do not vary much by Congress, strengthening the robustness of our findings.  This code produces the figure in: `./figures/ORIGINAL_figure9-hetero-effects.png`.