cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/trlsja/l633ma
title: FigA18.png

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DOI: 10.7910/dvn/trlsja/pndbcf
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DOI: 10.7910/dvn/xlvc6t/dh8aiu
title: survey_full_text.pdf

description: Full text of survey taken by respondents.
DOI: 10.7910/dvn/xlvc6t/svy6um
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description: ReadMe file.
DOI: 10.7910/dvn/bz6ijn/6ngwas
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DOI: 10.7910/dvn/bz6ijn/famgtr
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title: Lane_Readings_9848-2-30982.tab

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DOI: 10.7910/dvn/dkovla/7q34ib
title: coronavirus-tweet-id-2020-02-28-21.txt

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title: coronavirus-tweet-id-2020-02-29-00.txt

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title: coronavirus-tweet-id-2020-02-28-22.txt

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DOI: 10.7910/dvn/trlsja/6k9w8s
title: Logs-2b-Estimates-VS-Gold-Standard-CDFs.png

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title: Logs-2b-Estimates-VS-Gold-Standard-CDFs.png

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title: Logs-2b-Estimates-VS-Gold-Standard-CDFs.png

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title: Logs-2b-Estimates-VS-Gold-Standard-CDFs.png

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DOI: 10.7910/dvn/trlsja/voxnmg
title: Measures-Summary.tex

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DOI: 10.7910/dvn/trlsja/y13nxm
title: Logs-2b-Estimates-VS-Gold-Standard-CDFs.png

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DOI: 10.7910/dvn/bz6ijn/aor9pg
title: Lane_Readings_9848-3-30983.tab

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title: Lane_Readings_9849-2-30985.tab

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DOI: 10.7910/dvn/dkovla/53u4ob
title: coronavirus-tweet-id-2020-02-29-01.txt

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title: coronavirus-tweet-id-2020-02-29-03.txt

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title: coronavirus-tweet-id-2020-02-29-04.txt

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DOI: 10.7910/dvn/trlsja/a6hwpp
title: Measures-Summary.tex

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title: Measures-Summary.tex

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title: Measures-Summary.tex

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DOI: 10.7910/dvn/trlsja/vlpxl4
title: ProtestSize_Combined_CCC_onlynews_acs_elections.tab

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DOI: 10.7910/dvn/trlsja/wywpcs
title: Measures-Summary.tex

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DOI: 10.7910/dvn/uqys15/ndctkz
title: 1. The change in the specifics of Evacuation Hospital No. 995 treatment of trauma and orthopedic patients

description: Calculated by the research authors.Published for the first time.Source: State Archive of the Saratov Region, Collection R-3737, Inventory 1, Case 156.
DOI: 10.7910/dvn/bz6ijn/6if6tp
title: Lane_Readings_9850-2-30989.tab

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title: Lane_Readings_9850-3-30989.tab

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DOI: 10.7910/dvn/dkovla/34xt8f
title: coronavirus-tweet-id-2020-02-29-06.txt

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title: coronavirus-tweet-id-2020-02-29-05.txt

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title: coronavirus-tweet-id-2020-02-29-08.txt

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DOI: 10.7910/dvn/trlsja/a3uvf6
title: Readme.txt

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DOI: 10.7910/dvn/trlsja/altbn4
title: ProtestSize_Combined_CCC_onlynews_acs.tab

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DOI: 10.7910/dvn/trlsja/hmiy8z
title: Readme.txt

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DOI: 10.7910/dvn/trlsja/njxtdb
title: Readme.txt

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DOI: 10.7910/dvn/trlsja/xv5kxl
title: README_replication.txt

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DOI: 10.7910/dvn/uqys15/iecen9
title: 4.The change in the types of surgeries performed in Evacuation Hospital No. 995 in World War IIyears

description: Calculated by the research authors.Published for the first time.Source: State Archive of the Saratov Region, Collection R-3737, Inventory 1, Case 156.
DOI: 10.7910/dvn/uqys15/rdsoon
title: 2.The data on patients’admission, treatment and recovery in Evacuation Hospital No. 995 during World War II

description: Calculated by the research authors.Published for the first time.Source: State Archive of the Saratov Region, Collection R-3737, Inventory 1, Case 156.
DOI: 10.7910/dvn/uqys15/tyhdon
title: 3.Surgeries performed in Evacuation Hospital No. 995 in World War IIyears

description: Calculated by the research authors.Published for the first time.Source: State Archive of the Saratov Region, Collection R-3737, Inventory 1, Case 156.
DOI: 10.7910/dvn/bz6ijn/2iduqp
title: Lane_Readings_9851-2-30991.tab

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title: Lane_Readings_9851-1-30990.tab

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title: Lane_Readings_9852-1-30993.tab

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title: Lane_Readings_9850-3-30990.tab

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title: Lane_Readings_9851-3-30992.tab

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DOI: 10.7910/dvn/dkovla/15xnmj
title: coronavirus-tweet-id-2020-02-29-12.txt

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title: coronavirus-tweet-id-2020-02-29-11.txt

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title: coronavirus-tweet-id-2020-02-29-14.txt

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title: coronavirus-tweet-id-2020-02-29-10.txt

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title: coronavirus-tweet-id-2020-02-29-13.txt

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DOI: 10.7910/dvn/trlsja/a0gpgj
title: Readme.txt

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title: Readme.txt

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title: Readme.txt

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title: Readme.txt

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DOI: 10.7910/dvn/bz6ijn/4byex2
title: Lane_Readings_9852-3-30995.tab

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title: Lane_Readings_9852-3-30996.tab

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title: Lane_Readings_9852-2-30995.tab

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title: Lane_Readings_9852-2-30994.tab

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DOI: 10.7910/dvn/dkovla/21wuum
title: coronavirus-tweet-id-2020-02-29-15.txt

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title: coronavirus-tweet-id-2020-02-29-16.txt

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DOI: 10.7910/dvn/trlsja/aqxftd
title: Run.Rmd

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DOI: 10.7910/dvn/trlsja/d6t0an
title: Run.Rmd

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DOI: 10.7910/dvn/trlsja/dwwiwc
title: .Rhistory

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DOI: 10.7910/dvn/trlsja/e8awz8
title: Run.Rmd

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DOI: 10.7910/dvn/trlsja/pmrlzp
title: .Rhistory

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title: Run.Rmd

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DOI: 10.7910/dvn/bz6ijn/9vhbb5
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title: Lane_Readings_9854-2-31000.tab

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DOI: 10.7910/dvn/dkovla/5rwaon
title: coronavirus-tweet-id-2020-02-29-23.txt

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DOI: 10.7910/dvn/dkovla/7azusb
title: coronavirus-tweet-id-2020-02-29-22.txt

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title: coronavirus-tweet-id-2020-02-29-20.txt

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title: coronavirus-tweet-id-2020-02-29-21.txt

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DOI: 10.7910/dvn/dkovla/rwshe0
title: coronavirus-tweet-id-2020-03-01-00.txt

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DOI: 10.7910/dvn/trlsja/4hwrec
title: Run.Rmd

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DOI: 10.7910/dvn/trlsja/6p1ia2
title: Run.Rmd

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DOI: 10.7910/dvn/trlsja/lgbhgq
title: twitter_nFaces_CCC.csv

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DOI: 10.7910/dvn/trlsja/xk6uez
title: Run.Rmd

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DOI: 10.7910/dvn/uzhjmw/e7mkpu
title: Joint Military Exercises Involving Russia.tab

description: Data
DOI: 10.7910/dvn/uzhjmw/qggibh
title: Variables.tab

description: Description of variables
DOI: 10.7910/dvn/bz6ijn/5iqfsy
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DOI: 10.7910/dvn/dkovla/g7to9o
title: coronavirus-tweet-id-2020-03-01-05.txt

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title: coronavirus-tweet-id-2020-03-01-01.txt

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DOI: 10.7910/dvn/trlsja/3a2l4j
title: WM_face_count_by_city_merged.tab

description: :unav
DOI: 10.7910/dvn/trlsja/3zfqgs
title: WM_duplicate_count_by_city.csv

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DOI: 10.7910/dvn/trlsja/n0xoj3
title: WM_unique_face_count_by_city.csv

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DOI: 10.7910/dvn/trlsja/vedcgg
title: WM_random10percent_byTopCities.tab

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DOI: 10.7910/dvn/bz6ijn/bkbbwb
title: Lane_Readings_9856-1-31005.tab

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DOI: 10.7910/dvn/bz6ijn/dptvaj
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DOI: 10.7910/dvn/dkovla/3o4jfh
title: coronavirus-tweet-id-2020-03-01-10.txt

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DOI: 10.7910/dvn/dkovla/3otbij
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title: coronavirus-tweet-id-2020-03-01-07.txt

description: :unav
DOI: 10.7910/dvn/4rqwxw/0wuux4
title: Codebook.pdf

description: :unav
DOI: 10.7910/dvn/4rqwxw/soyxcy
title: Code_Cleaning.R

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DOI: 10.7910/dvn/bz6ijn/gxoywa
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DOI: 10.7910/dvn/bz6ijn/o3habp
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title: Lane_Readings_9857-1-31008.tab

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DOI: 10.7910/dvn/bz6ijn/wsczuq
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DOI: 10.7910/dvn/bz6ijn/xxjhey
title: Lane_Readings_9857-2-31009.tab

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DOI: 10.7910/dvn/dkovla/klc27s
title: coronavirus-tweet-id-2020-03-01-12.txt

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DOI: 10.7910/dvn/dkovla/m7y8hy
title: coronavirus-tweet-id-2020-03-01-14.txt

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DOI: 10.7910/dvn/dkovla/ufidbf
title: coronavirus-tweet-id-2020-03-01-13.txt

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title: coronavirus-tweet-id-2020-03-01-11.txt

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title: coronavirus-tweet-id-2020-03-01-15.txt

description: :unav
DOI: 10.7910/dvn/4rqwxw/52qneb
title: profiles.tab

description: :unav
DOI: 10.7910/dvn/4rqwxw/arklgu
title: Readme.txt

description: :unav
DOI: 10.7910/dvn/4rqwxw/xztcyv
title: profiles_cleaned.csv

description: :unav
DOI: 10.7910/dvn/4rqwxw/z1kfjf
title: survey_cleaned.csv

description: :unav
DOI: 10.7910/dvn/bz6ijn/bo3hdk
title: Lane_Readings_9858-3-31013.tab

description: :unav
DOI: 10.7910/dvn/bz6ijn/duppp3
title: Lane_Readings_9858-2-31013.tab

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DOI: 10.7910/dvn/bz6ijn/hxi6kd
title: Lane_Readings_9858-1-31012.tab

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DOI: 10.7910/dvn/bz6ijn/iw7qxt
title: Lane_Readings_9858-1-31011.tab

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DOI: 10.7910/dvn/bz6ijn/vf479g
title: Lane_Readings_9858-2-31012.tab

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DOI: 10.7910/dvn/dkovla/1bnwqs
title: coronavirus-tweet-id-2020-03-01-17.txt

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DOI: 10.7910/dvn/dkovla/1ycfap
title: coronavirus-tweet-id-2020-03-01-16.txt

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title: coronavirus-tweet-id-2020-03-01-18.txt

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DOI: 10.7910/dvn/dkovla/90j6hv
title: coronavirus-tweet-id-2020-03-01-19.txt

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DOI: 10.5281/zenodo.13969352
title: Dataset 2nd validation NbS CoBAs tool (SPSS.SAV)

description: Database of the co-benefit scale of nature-based solutions for the second validation with a sample of students (N=115). Participants have to evaluate 8 urban public spaces with different degrees of naturalization, openness,... (independent or contextual variables. The unit of analysis is the evaluations (N=437). The evaluated co-benefits are psychosocial and are structured around 5 general categories: environmental comfort, psychological restoration, safety, social flow and emotional change.
DOI: 10.7910/dvn/bz6ijn/0vu1q6
title: Lane_Readings_9859-2-31015.tab

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DOI: 10.7910/dvn/bz6ijn/7mjisc
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title: Lane_Readings_9858-3-31014.tab

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DOI: 10.7910/dvn/bz6ijn/aykgjo
title: Lane_Readings_9859-3-31016.tab

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DOI: 10.7910/dvn/bz6ijn/sp2jbl
title: Lane_Readings_9860-1-31017.tab

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DOI: 10.7910/dvn/dkovla/blyux4
title: coronavirus-tweet-id-2020-03-01-21.txt

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title: coronavirus-tweet-id-2020-03-01-23.txt

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title: coronavirus-tweet-id-2020-03-01-22.txt

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title: coronavirus-tweet-id-2020-03-02-00.txt

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title: coronavirus-tweet-id-2020-03-01-20.txt

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DOI: 10.7910/dvn/bz6ijn/6i7egr
title: Lane_Readings_9860-2-31018.tab

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DOI: 10.7910/dvn/bz6ijn/7shupd
title: Lane_Readings_9860-2-31019.tab

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DOI: 10.7910/dvn/bz6ijn/8d2tsr
title: Lane_Readings_9860-3-31019.tab

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DOI: 10.7910/dvn/bz6ijn/avjhks
title: Lane_Readings_9860-3-31020.tab

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DOI: 10.7910/dvn/bz6ijn/q02gsf
title: Lane_Readings_9860-1-31018.tab

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DOI: 10.7910/dvn/dkovla/3oujpp
title: coronavirus-tweet-id-2020-03-02-02.txt

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DOI: 10.7910/dvn/dkovla/a394sv
title: coronavirus-tweet-id-2020-03-02-05.txt

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DOI: 10.7910/dvn/dkovla/hdooek
title: coronavirus-tweet-id-2020-03-02-01.txt

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DOI: 10.7910/dvn/dkovla/mvnrcr
title: coronavirus-tweet-id-2020-03-02-03.txt

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DOI: 10.7910/dvn/dkovla/n9gpep
title: coronavirus-tweet-id-2020-03-02-04.txt

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DOI: 10.2908/tipslm10
title: Nominal unit labour cost per hour worked - 3 years % change
title: Nominale Lohnstückkosten pro Arbeitsstunde - Veränderung in % über 3 Jahre
title: Coût salarial unitaire nominal par heure travaillée - variation en % sur 3 ans

description: Der Index der nominalen Lohnstückkosten (NLSK) ist definiert als das Verhältnis der Arbeitskosten zur Arbeitsproduktivität, wobei die Arbeitskosten das Verhältnis des Arbeitnehmerentgelts (zu jeweiligen Preisen) zu den von den Arbeitnehmern geleisteten Arbeitsstunden und die Arbeitsproduktivität das Verhältnis des Bruttoinlandsprodukts (zu Marktpreisen in Millionen, verkettete Volumen, Bezugsjahr 2015) zu den geleisteten Arbeitsstunden ist. Die Daten zur Beschäftigung werden nach dem Inlandskonzept der Volkswirtschaftlichen Gesamtrechnungen dargestellt. Der Indikator des MIP-Anzeigers ist die 3-jährige prozentuale Veränderung. Die Eingabedaten werden aus den offiziellen Länderdaten der Volkswirtschaftlichen Gesamtrechnungen über das Lieferprogramm des ESVG 2010 bezogen. Der indikative Schwellenwert beträgt 9 % für die Länder des Euroraums und 12 % für die Länder außerhalb des Euroraums.
description: L'indice du coût salarial unitaire nominal (CSUN) est défini comme le rapport entre le coût salarial et la productivité du travail, le coût salarial étant le rapport entre la rémunération des salariés (prix courants) et les heures travaillées par les salariés, et la productivité du travail étant le rapport entre le produit intérieur brut (aux prix du marché en millions, volumes chaînés, année de référence 2015) et le nombre total d'heures travaillées. Les données sur l'emploi sont présentées selon le concept national utilisé dans les comptes nationaux. L'indicateur du tableau de bord MIP est la variation en pourcentage sur trois ans. Les données d'entrée sont obtenues à partir des données nationales officielles des comptes nationaux, par le biais du programme de transmission du SEC 2010. Le seuil indicatif est de 9% pour les pays de la zone euro et de 12% pour les pays hors zone euro.
description: The nominal unit labour cost (NULC) index is defined as the ratio of labour cost to labour productivity, where labour cost is the ratio of compensation of employees (current prices) to hours worked by employees, and labour productivity is the ratio of gross domestic product (at market prices in millions, chain-linked volumes reference year 2015) to total hours worked. Data on employment are presented according to the domestic concept used in national accounts. The MIP Scoreboard indicator is the 3-year percentage change. Input data are obtained from the official national accounts' country data, through ESA 2010 transmission programme. The indicative threshold is 9% for the euro area countries and 12% for the non-euro area countries.
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