Searching for data within Dataverse is quite easy using the
dataverse_search() function. The simplest searches simply
consist of a query string:
library("dataverse")
Sys.setenv("DATAVERSE_SERVER" = "dataverse.harvard.edu")
dataverse_search("Gary King")[c("name")]## name
## 1 004_informal_food_retail_Nigeria_2018.tab
## 2 00592Belle-Stress-PaperData-Subject_King_ChildIs.PDF
## 3 00592Belle-Stress-PaperData-Subject_King_ChildO.PDF
## 4 00592Belle-Stress-PaperData-Subject_King_Coping.PDF
## 5 00592Belle-Stress-PaperData-Subject_King_Discrimination.PDF
## 6 00592Belle-Stress-PaperData-Subject_King_LifeCs.PDF
## 7 00592Belle-Stress-PaperData-Subject_King_LifeE.PDF
## 8 00592Belle-Stress-PaperData-Subject_KingAndMeunier_Parenting.PDF
## 9 00698McArthur-King-BoxCoverSheets.pdf
## 10 00698McArthur-King-MemoOfAgreement.pdfThe results are paginated, so users can rely upon the
per_page and start argument to requested
subsequent pages of results. We’ll start at 6 and to show that we
retrieve the last five results from the previous query plus 15 more (due
to per_page = 20):
# 10 of 3676 results retrieved
## name
## 1 004_informal_food_retail_Nigeria_2018.tab
## 2 00698McArthur-King-BoxCoverSheets.pdf
## 3 00698McArthur-King-MemoOfAgreement.pdf
## 4 00698McArthur-King-StudyDescription.pdf
## 5 01 ReadMe Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography
## 6 01_ReadMe_The_Spiral_Locked_Letters_of_Elizabeth_I_and_Mary_Queen_of_Scots
## 7 03 Brienne Collection letterlocking data: Images folder 02/16, DB-0874_2–DB-0903
## 8 03 Brienne Collection letterlocking data: Images folder 04/16, DB-0988–DB-1109_03
## 9 03 Brienne Collection letterlocking data: Images folder 06/16, DB-1241_02–DB-1339_06
## 10 03 Brienne Collection letterlocking data: Images folder 08/16, DB-1455_02–DB-1564_01More complicated searches can specify metadata fields like
title and restrict results to a specific type
of Dataverse object (a “dataverse”, “dataset”, or “file”):
ei <- dataverse_search(author = "Gary King", title = "Ecological Inference", type = "dataset", per_page = 20)
# fields returned
names(ei)
# names of datasets
ei$name## [1] "name" "type" "url" "global_id"
## [5] "description" "published_at" "publisher" "citationHtml"
## [9] "identifier_of_dataverse" "name_of_dataverse" "citation" "storageIdentifier"
## [13] "keywords" "subjects" "fileCount" "versionId"
## [17] "versionState" "majorVersion" "minorVersion" "createdAt"
## [21] "updatedAt" "contacts" "authors" "publications"
## [1] "01 ReadMe Unlocking history through automated virtual unfolding of sealed documents imaged by X-ray microtomography"
## [2] "01_ReadMe_The_Spiral_Locked_Letters_of_Elizabeth_I_and_Mary_Queen_of_Scots"
## [3] "03 Brienne Collection letterlocking data: Images folder 02/16, DB-0874_2–DB-0903"
## [4] "03 Brienne Collection letterlocking data: Images folder 04/16, DB-0988–DB-1109_03"
## [5] "03 Brienne Collection letterlocking data: Images folder 06/16, DB-1241_02–DB-1339_06"
## [6] "03 Brienne Collection letterlocking data: Images folder 08/16, DB-1455_02–DB-1564_01"
## [7] "03 Brienne Collection letterlocking data: Images folder 12/16, DB-1868–DB-1963_03"
## [8] "03 Brienne Collection letterlocking data: Images folder 14/16, DB-2064_01–2155_03"
## [9] "03 Spiral-lock figures"
## [10] "07 Letterlocking Categories and Formats Chart"
## [11] "10 Foldable: Launch Little Book of Locks (UH6089), with Categories and Formats Chart. Letterlocking Instructional Resources"
## [12] "10 Million International Dyadic Events"
## [13] "1479 data points of covid19 policy response times"
## [14] "2016 Census of Population: ADA and DA Maps for Kings County Nova Scotia"
## [15] "3D Dust map from Green et al. (2015)"
## [16] "3D dust map from Green et al. (2017)"
## [17] "3D dust map from Green et al. (2019)"
## [18] "A 1D Lyman-alpha Profile Camera for Plasma Edge Neutral Studies on the DIII-D Tokamak"
## [19] "A Comparative Analysis of Brazil's Foreign Policy Drivers Towards the USA: Comment on Amorim Neto (2011)"
## [20] "A Critique of Dyadic Design"
## 16 1998 Jewish Community Study of the Coachella Valley, California
## 17 2002 State Legislative Survey
## 18 2007 White Sands Dune Field lidar topographic data
## 19 2008 White Sands Dune Field lidar topographic data
## 20 2012 STATA Data.tab Once datasets and files are identified, it is easy to download and use them directly in R. See the “Data Download” vignette for details.