acarsLens: Autonomous Vehicle Patent Data from Lens Patent Search

Description Usage Format Details See Also

Description

An example data set of autonomous vehicle IP from major assignees.

Usage

1

Format

A data frame with 863 observations on 26 variables.

resultNum

The search result number.

countryCode

The jurisdiction of the patent document.

kindCode

The kind code.

docNum

The published document number with country code and kind code included.

lensID

The unique identification number of the document on lens.org

pubDate

Date the document was published.

pubYear

Year the document published.

appNum

The filing number of the application (country code, number, and abridged kind code, typically 'A')

dateFiled

Date the application for the patent document was filed.

priorityApps

Applications this patent document claims priority. Format: Country code, application number, A = application or P = provisional, YYYYMMDD of priority. Multiple application separated by a double semi-colon.

title

The title of the document.

assignee

The name of the applicant(s) at the time of filing.

inventors

The inventor(s).

lensURL

The lens.org URL for the document.

docTypeLens

A lens.org mapping of the doc type. Granted, application, ambiguous, unknown, search report, and possibly more values.

hasFullText

A logical value to show if there is a full text available from lens.org

citeCount

The number of times this document is cited, also known as forward citations.

familySimpleCount

The number of unique documents in the immediate patent family.

familyExtendedCount

The number of unique documents sharing a priority applicaiton in the extended family.

seqCount

Used in biological applications – the number of sequences in the application.

cpcClasses

The CPC classification codes, separated by a double semi-colon.

ipcrClasses

The IPCR classification codes, separated by a double semi-colon.

usClasses

The US classification codes, separated by a double semi-colon.

pubmedID

A pubmed ID to any related research.

DOI

A digital object identifier. Go to doi.org and paste the value to get the associated research paper.

npl

Non-patent literature, or citations of non-patent sources. Separated with double semi-colons.

Details

The data search was performd on Saturday, March 18, 2017 from lens.org, and the exact search:

Lens Patents Search

For all countries available on Lens.

Can get raw data with the following commands:

temp <- system.file("extdata", "lens_autonomous_search.csv", package = "patentr")

temp <- read.csv(temp, stringsAsFactors = FALSE)

temp <- data.frame(lapply(temp, function(x){iconv(x,to="ASCII")}),stringsAsFactors = FALSE)

names(temp) <- lensNames

temp$dateFiled <- as.Date(temp$dateFiled, format = '%m/%d/%y')

temp$pubDate <- as.Date(temp$pubDate, format='%m/%d/%y') # note that

colsNum <- c("resultNum","citeCount","familySimpleCount","familyExtendedCount", "seqCount")

temp[colsNum] <- sapply(temp[colsNum], as.numeric)

temp$hasFullText <- sapply(temp$hasFullText, function(x) ifelse(x=="yes",TRUE,FALSE))

See Also

www.lens.org You can export without an account, or can create an account to save your searches.

acarsGoogle provides a similar search from Google. acars provides a similar search from sumobrain.


kamilien1/patentr documentation built on May 20, 2019, 7:19 a.m.