cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/gbtyym/cg4yo5
title: S_1999_989_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/fldpza
title: S_2000_1137_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/uun9lt
title: S_1999_807_E.pdf.txt

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DOI: 10.7910/dvn/976did/gajpic
title: t20190512206221.txt

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DOI: 10.7910/dvn/976did/k0d3cg
title: t20190511897911.txt

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DOI: 10.7910/dvn/976did/ytlz8n
title: t20190512209558.txt

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DOI: 10.7910/dvn/cfzwvn/1cslh3
title: user1~DJI_0099200.json

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DOI: 10.7910/dvn/cfzwvn/5fibj6
title: user1~DJI_00991900.json

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DOI: 10.7910/dvn/cfzwvn/8luk3b
title: user1~DJI_00992000.json

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DOI: 10.7910/dvn/cfzwvn/qo3kdr
title: user1~DJI_00992100.json

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DOI: 10.7910/dvn/gbtyym/9oa0co
title: S_2000_23_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/avo80c
title: S_2000_13_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/gispdp
title: S_2000_305_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/k3fk9r
title: S_2000_215_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/neyxuk
title: S_2000_269_E.pdf.txt

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DOI: 10.7910/dvn/976did/21wmgn
title: t20190513887780.txt

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DOI: 10.7910/dvn/976did/7pvxqn
title: t20190513673312.txt

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DOI: 10.7910/dvn/976did/lpifhl
title: t20190513303647.txt

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DOI: 10.7910/dvn/976did/retozb
title: t20190512825924.txt

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DOI: 10.7910/dvn/976did/tg6uu7
title: t20190512522904.txt

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DOI: 10.7910/dvn/976did/v7rhdo
title: t20190513292692.txt

description: :unav
DOI: 10.7910/dvn/cfzwvn/eupaxo
title: user1~DJI_00992200.json

description: :unav
DOI: 10.7910/dvn/cfzwvn/hmxame
title: user1~DJI_00992500.json

description: :unav
DOI: 10.7910/dvn/cfzwvn/wompyk
title: user1~DJI_00992400.json

description: :unav
DOI: 10.7910/dvn/cfzwvn/xeqcax
title: user1~DJI_00992300.json

description: :unav
DOI: 10.7910/dvn/gbtyym/2vnsv1
title: S_2000_496_Corr.1_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/86xp43
title: S_2000_538_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/sbavml
title: S_2000_529_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/swqdjr
title: S_2000_53_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/y4q07x
title: S_2000_639_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/l2id7s/0xjclq
title: Dataset Borges et al tVNS auricular areas study.tab

description: :unav
DOI: 10.7910/dvn/whjr19/atbcl3
title: FSPP_Yangon_Mechanization_2016_mech_d1v1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/h2csql
title: FSPP_Yangon_Mech_2016_Request_Informed_Consent.pdf

description: Consent
DOI: 10.7910/dvn/whjr19/kdh90o
title: FSPP_Yangon_Mech_2016_Questionnaire.pdf

description: Questionnaire
DOI: 10.7910/dvn/whjr19/qlby12
title: FSPP_Yangon_Mechanization_2016_mech_cv1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/quhvxi
title: FSPP_Yangon_Mechanization_2016_Codebook.txt

description: Code Book
DOI: 10.7910/dvn/whjr19/zshg2f
title: FSPP_Yangon_Mechanization_2016_mech_cv1.tab

description: Data File: CSV Format
DOI: 10.15468/dl.28gje5
title: Occurrence Download

description: A dataset containing 4213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ixora L.",
 "Year 1970-2024"
 ]
}

 The dataset includes 4213 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029655-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/976did/1bcjew
title: t20190514137865.txt

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DOI: 10.7910/dvn/976did/aivc8w
title: t20190515115748.txt

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DOI: 10.7910/dvn/976did/famlx8
title: t20190514771733.txt

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DOI: 10.7910/dvn/976did/jou8fb
title: t20190514127130.txt

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DOI: 10.7910/dvn/976did/re77l4
title: t20190514747910.txt

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DOI: 10.7910/dvn/cfzwvn/bujetd
title: user1~DJI_00992900.json

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DOI: 10.7910/dvn/cfzwvn/d4ntx0
title: user1~DJI_00992800.json

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DOI: 10.7910/dvn/cfzwvn/l9qvdx
title: user1~DJI_00992700.json

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DOI: 10.7910/dvn/cfzwvn/u10106
title: user1~DJI_00992600.json

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DOI: 10.7910/dvn/cfzwvn/zr0raj
title: user1~DJI_00993000.json

description: :unav
DOI: 10.7910/dvn/gbtyym/7kpc7o
title: S_2000_718_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/m4otkw
title: S_2000_751_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/o5ajpw
title: S_2000_697_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/vkdhoi
title: S_2000_738_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/whjr19/5ya3gb
title: FSPP_Yangon_Mechanization_2016_mech_e1av1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/l8nwfa
title: FSPP_Yangon_Mechanization_2016_mech_e1av1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/npwxsd
title: FSPP_Yangon_Mechanization_2016_mech_d1v1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/nyopsm
title: FSPP_Yangon_Mechanization_2016_mech_e1bv1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/rm6zsv
title: FSPP_Yangon_Mechanization_2016_mech_d2v1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/uecju7
title: FSPP_Yangon_Mechanization_2016_mech_d2v1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/976did/a6twci
title: t20190516167998.txt

description: :unav
DOI: 10.7910/dvn/976did/eho0se
title: t20190516223151.txt

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DOI: 10.7910/dvn/976did/jvvyt0
title: t20190515653823.txt

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DOI: 10.7910/dvn/976did/wcpyxc
title: t20190515156359.txt

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DOI: 10.7910/dvn/976did/wtjgmx
title: t20190515971480.txt

description: :unav
DOI: 10.7910/dvn/cfzwvn/gch0ji
title: user1~DJI_00993200.json

description: :unav
DOI: 10.7910/dvn/cfzwvn/mztgdn
title: user1~DJI_0099300.json

description: :unav
DOI: 10.7910/dvn/cfzwvn/nfeprt
title: user1~DJI_00993100.json

description: :unav
DOI: 10.7910/dvn/cfzwvn/w0tnks
title: user1~DJI_00993300.json

description: :unav
DOI: 10.7910/dvn/gbtyym/bqxx9l
title: S_2001_1008_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/crfrfh
title: S_2000_785_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/icuqdf
title: S_2000_832_Add.1_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/jx43gp
title: S_2000_915_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/m470uq
title: S_2000_879_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/tbyggh
title: S_2000_832_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/whjr19/4msvu2
title: FSPP_Yangon_Mechanization_2016_mech_e2cv1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/8q6gz1
title: FSPP_Yangon_Mechanization_2016_mech_e2bv1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/9j1hp4
title: FSPP_Yangon_Mechanization_2016_mech_e2av1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/bfhcah
title: FSPP_Yangon_Mechanization_2016_mech_e2bv1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/gfalwb
title: FSPP_Yangon_Mechanization_2016_mech_e2av1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/wtonvk
title: FSPP_Yangon_Mechanization_2016_mech_e1bv1.tab

description: Data File: CSV Format
DOI: 10.6084/m9.figshare.27276018.v1
title: Supplementary Material for: A Nationwide, Population-based Study of Intelligence and Hearing Loss Among 3,104,851 Adolescents

description: Purpose: Epidemiological studies have demonstrated a relationship between general intelligence (GI) in youth and hearing loss (HL). However, no large-scale study assessed the relations of GI in late adolescence with conductive HL and sensorineural HL, stratified by severity. This study examined the connection between HL and GI in late adolescence.

Methods: Cross-sectional study on mandatory pre-military recruitment data recorded during 1967-2019 of patients aged 17-19. We compared GI between sensorineural HL, conductive HL, and those with normal hearing. In addition, we used logistic regression to measure the associations between HL and GI after adjuring for age, sex, education, and socioeconomic status.

Results: Among 3,104,851 adolescents assessed, 20,075 (0.6%) exhibited hearing loss (HL). We categorized general intelligence (GI) into three levels for analysis: low (lowest category), medium, and high (reference category). Adjusted odds ratios (ORs) revealed that sensorineural HL (SNHL) was associated with lower GI levels, with ORs ranging from 1.3 [95% CI 1.4–1.2] for the lowest GI category to 1.1 [95% CI 1.15–0.04] for the medium category. Conductive HL (CHL) also demonstrated significant associations, with ORs from 1.8 [95% CI 1.9–1.6] for the lowest GI level to 1.1 [95% CI 1.2–0.9] for medium. Further analysis revealed a statistically significant, severity-dependent relationship between SNHL and the odds of being in the lowest GI quartile (Q1). Specifically, the odds ratios for SNHL ranged from 1.2 [95% CI 1.1–1.3] to 1.3 [95% CI 1.1–1.5] as severity increased, indicating a strong link between greater SNHL severity and reduced cognitive performance. In contrast, CHL did not show a consistent correlation between its severity and GI outcomes, with an OR of 1.6 [95% CI 1.2–2.3] across severity levels.

Conclusion: We report a strong relationship between HL and GI in late adolescence. Sensorineural HL, but not conductive HL, demonstrated a severity-based decline in GI. The results highlight the value of early, specifically targeted therapies for HL that consider its etiology and degree.
DOI: 10.7910/dvn/976did/xaiozc
title: t20190516230267.txt

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DOI: 10.7910/dvn/976did/ybenxz
title: t20190517157603.txt

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DOI: 10.7910/dvn/cfzwvn/bwqlxs
title: user1~DJI_00993500.json

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DOI: 10.7910/dvn/cfzwvn/lq0tom
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DOI: 10.7910/dvn/gbtyym/jotv4n
title: S_2001_1025_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/rpbcxk
title: S_2001_1194_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/y1goum
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DOI: 10.7910/dvn/gbtyym/y1qiwp
title: S_2001_202_E.pdf.txt

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DOI: 10.7910/dvn/whjr19/jbvsid
title: FSPP_Yangon_Mechanization_2016_mech_e3v1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/msbjfo
title: FSPP_Yangon_Mechanization_2016_mech_f1v1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/qrxad4
title: FSPP_Yangon_Mechanization_2016_mech_e2cv1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/wbredq
title: FSPP_Yangon_Mechanization_2016_mech_f1v1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/zjge3v
title: FSPP_Yangon_Mechanization_2016_mech_e3v1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/976did/cpglfz
title: t20190523528158.txt

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DOI: 10.7910/dvn/cfzwvn/2fyiul
title: user1~DJI_0099800.json

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DOI: 10.7910/dvn/cfzwvn/ig9ova
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DOI: 10.7910/dvn/cfzwvn/t00akq
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title: user1~DJI_0106100.json

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DOI: 10.7910/dvn/gbtyym/71c3cr
title: S_2001_436_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/be5nye
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DOI: 10.7910/dvn/whjr19/6ohpe9
title: FSPP_Yangon_Mechanization_2016_mech_gv1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/asx4ar
title: FSPP_Yangon_Mechanization_2016_mech_f2v1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/cgnakw
title: FSPP_Yangon_Mechanization_2016_mech_hv1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/ddplb8
title: FSPP_Yangon_Mechanization_2016_mech_f2v1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/igu48i
title: FSPP_Yangon_Mechanization_2016_mech_gv1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/whjr19/rh1tee
title: FSPP_Yangon_Mechanization_2016_mech_hv1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/976did/dsycbj
title: t20190628657991.txt

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DOI: 10.7910/dvn/976did/kixehx
title: t20190706673420.txt

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DOI: 10.7910/dvn/976did/ybwhwk
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DOI: 10.7910/dvn/cfzwvn/0zs0s5
title: user1~DJI_01061200.json

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DOI: 10.7910/dvn/cfzwvn/cg4vso
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DOI: 10.7910/dvn/cfzwvn/oeyp3c
title: user1~DJI_01061300.json

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DOI: 10.7910/dvn/cfzwvn/vsxkxi
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DOI: 10.7910/dvn/gbtyym/qr4ap3
title: S_2001_608_E.pdf.txt

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DOI: 10.7910/dvn/whjr19/jtovhd
title: FSPP_Yangon_Mechanization_2016_mech_iv1.tab

description: Data File: CSV Format
DOI: 10.7910/dvn/whjr19/l3ezm3
title: FSPP_Yangon_Mechanization_2016_mech_iv1-1.tab

description: Data File: DTA Format
DOI: 10.7910/dvn/976did/3d5wjr
title: t20190830632120.txt

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DOI: 10.7910/dvn/976did/8wc3rw
title: t20190727987378.txt

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DOI: 10.7910/dvn/976did/aete2q
title: t20190829172383.txt

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DOI: 10.7910/dvn/976did/ggxkkg
title: t20190813621507.txt

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DOI: 10.7910/dvn/976did/w7zizb
title: t20190821373209.txt

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DOI: 10.7910/dvn/cfzwvn/l679ia
title: user1~DJI_01061700.json

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DOI: 10.7910/dvn/cfzwvn/loh5ug
title: user1~DJI_01061500.json

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DOI: 10.7910/dvn/cfzwvn/zhojwe
title: user1~DJI_01061600.json

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DOI: 10.7910/dvn/gbtyym/0vrnqq
title: S_2001_660_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/5payvp
title: S_2001_843_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/gbtyym/isz8ue
title: S_2001_719_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/qlykst/3w2u7h
title: Fig 4 and Fig 5_Histogram of misleading claims.xlsx

description: Histogram of Donald Trump, Jair Bolsonaro and Bolsonaro’s misleading claims on COVID-19 pandemic
DOI: 10.7910/dvn/qlykst/h3jh1q
title: Fig 2_ Brazilian States Social Distancing.tab

description: Brazilian States Social Distancing Index. Period: March, 2 to May, 3 during COVID-19 pandemic.
DOI: 10.7910/dvn/qlykst/hyk5r6
title: Fig 6_Misleading Claims Frequency_Trump_JBolsonaro_EBolsonaro.tab

description: Frequency of Donald Trump, Jair Bolsonaro and Eduardo Bolsonaro’s misleading claims on COVID-19 pandemic (from March 11 through May 1)
DOI: 10.7910/dvn/qlykst/i1omxv
title: Fig1 and Fig3_Brazil USA Social distancing.tab

description: Data on Brazil and USA Social distancing. Period: March, 2 to May, 3 during COVID-19 pandemic.
DOI: 10.7910/dvn/976did/6gm1qx
title: t20190911189280.txt

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DOI: 10.7910/dvn/976did/aayjxf
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title: t20190907236293.txt

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DOI: 10.7910/dvn/976did/zs9mrs
title: t20190908960909.txt

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DOI: 10.7910/dvn/cfzwvn/f1zyzw
title: user1~DJI_0106200.json

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DOI: 10.7910/dvn/cfzwvn/johfru
title: user1~DJI_01061800.json

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DOI: 10.7910/dvn/cfzwvn/tw6rv5
title: user1~DJI_01061900.json

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DOI: 10.7910/dvn/cfzwvn/xgeeol
title: user1~DJI_01062100.json

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DOI: 10.7910/dvn/cfzwvn/z1w2qx
title: user1~DJI_01062000.json

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DOI: 10.7910/dvn/gbtyym/1k81rt
title: S_2001_956_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/bnb8l4
title: S_2001_857_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/rx5len
title: S_2002_1005_E.pdf.txt

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DOI: 10.7910/dvn/gbtyym/v9sk82
title: S_2001_886_E.pdf.txt

description: :unav
DOI: 10.7910/dvn/qlykst/bex7vn
title: Table 1 to 3_Trump, Jair Bolsonaro and Eduardo Bolsonaro_TVRadioTwitter.tab

description: Donald Trump and Jair Bolsonaro’s TV appearances and broadcast radio interviews over the first 52 days of the coronavirus pandemic (from March 11 through May 1)
DOI: 10.7910/dvn/976did/8phhxz
title: t20191014808195.txt

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DOI: 10.7910/dvn/976did/cq0eo4
title: t20190930716539.txt

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DOI: 10.7910/dvn/976did/naused
title: t20191013737762.txt

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DOI: 10.7910/dvn/976did/ocsfle
title: t20190928199663.txt

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DOI: 10.7910/dvn/976did/t7bf9x
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DOI: 10.34816/ifao.archives.141956
title: Ostracon hiératique Ifao - ODM 1346_nb_1997_05242

description: Référence : nb_1997_05242<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.fuefxf
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "and" : [
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 "HasCoordinate is true",
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 ]
}

 The dataset includes 778 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297284-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.141957
title: Ostracon hiératique Ifao - ODM 1268_nb_1997_05359

description: Référence : nb_1997_05359<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.9ehcry
title: Occurrence Download

description: A dataset containing 14016 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morella faya (Aiton) Wilbur"
 ]
}

 The dataset includes 14016 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032092-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.141958
title: Ostracon hiératique Ifao - ODM 1268_nb_1997_05360

description: Référence : nb_1997_05360<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.2d9heb
title: Occurrence Download

description: A dataset containing 27390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enchylaena tomentosa R.Br.",
 {
 "or" : [
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 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
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 ]
}

 The dataset includes 27390 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042915-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bewfsk
title: Occurrence Download

description: A dataset containing 5971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Festuca halleri All.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5971 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297260-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.141959
title: Ostracon hiératique Ifao - ODM 1273_nb_1997_05361

description: Référence : nb_1997_05361<br />Site : Deir el-Médina<br />Secteur : Grand puits<br />Type : photographie<br />