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Data · dataset · 2018

A dataset of scientific literature on floods, 1990 – 2017

Listed in ScienceDB

With an increasing number of scientific achievements published, it is particularly important to conduct literature-based knowledge discovery and data mining.

Description

Flood, as one of the most destructive natural disasters, has been the subject of numerous scientific publications. On January 1, 2018, we conducted literature data collection and processing on flood research and categorized the retrieved paper records into Whole SCI Dataset (WS) and High-

Citation

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SCI Dataset (HCS). These data sets can serve as basic data for bibliometric analysis to identify the status of global flood research during 1990 – 2017. Our study shows that while the Chinese Academy of Sciences was the most productive institution during this period, the United States was the most productive country.

Besides, our keyword analysis reveals the potential popular issues and future trends of flood research.

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Catalogue records · 1

Topics

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.5918 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:3709enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (71%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title