cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ojbz67/fnuoq8
title: 17723386_57_7412852_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/glrxbi
title: 17723385_56_1857559_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/v91bkv
title: 17723386_57_7412852_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/rj9pqc/69x5mm
title: PhysAct_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/rj9pqc/7kuiml
title: Phy_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/rj9pqc/baqfne
title: PhyStess_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/grigo9
title: Phy_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/rj9pqc/gsvmeo
title: PhysAct_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/ygjtht
title: PhysAct_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/ojbz67/4izsro
title: 17723386_57_7412852_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/5p844n
title: 17723466_58_714039_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/9iq6ym
title: 17723466_58_714039_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/ky1js9
title: 17723466_58_714039_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/qofyma
title: 17723466_58_714039_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/rj9pqc/7ecwu0
title: Pos_Aff_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/rj9pqc/hxdgy4
title: ProxyGlobHeal_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/m7wbau
title: Pos_Aff_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/rj9pqc/pkvzn6
title: ProxyFamBel_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/th7qz7
title: ProxyFamInv_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/thb2uc
title: PosAff_Codebook.pdf
DOI: 10.7910/dvn/ojbz67/9dbw5x
title: 17723466_59_18612382_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/dxaapq
title: 17723466_59_18612382_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/kjrwat
title: 17723466_58_714039_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/kwovfu
title: 17723466_59_18612382_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/ldvxsz
title: 17723466_59_18612382_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/qrtpoj
title: 17723466_59_18612382_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/rj9pqc/0lsw9t
title: ProxyLifeSat_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/j58obj
title: ProxyMeanPurp_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/pcsyvz
title: ProxyPhyStress_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/pum2dz
title: ProxyPosAff_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/vumgxc
title: ProxyPhysAct_Codebook.pdf
DOI: 10.7910/dvn/de0ovp/10ke1m
title: experiment-data.tab
DOI: 10.7910/dvn/de0ovp/2lr7qj
title: figure-1-replication.R
DOI: 10.7910/dvn/de0ovp/aiawon
title: experimental-replication.R
DOI: 10.7910/dvn/de0ovp/k1le7z
title: read-me.txt
DOI: 10.7910/dvn/de0ovp/uku85a
title: observational-replication.R
DOI: 10.7910/dvn/de0ovp/zggp4q
title: data-2006-cces.tab
DOI: 10.7910/dvn/ojbz67/5wqs2v
title: 17723482_62_7114078_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/bhxgzp
title: 17723482_62_7114078_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/fvwzgi
title: 17723482_62_7114078_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/fy2ddo
title: 17723482_62_7114078_TP_0_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/rtb734
title: 17723482_62_7114078_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/rj9pqc/ds5k0t
title: ProxyPsyStress_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/huamds
title: Psych_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/rj9pqc/jcxets
title: PsyStress_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/lnninx
title: ProxyStrength_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/qa598m
title: Psych_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/rj9pqc/rjldf4
title: Strength_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.17632/3d3sb7y65z.1
title: Evaluating Wireless Network Technologies (3G, 4G, 5G) and Their Infrastructure: A Systematic Review

description: Wireless network technologies, including 3G, 4G, and 5G, are transforming telecommunications infrastructure globally. However, the adoption and effectiveness of these technologies vary sig-nificantly across regions and industries, posing unique challenges and opportunities for Small and Medium Enterprises (SMEs). Understanding the critical factors influencing network de-ployment and optimization in different contexts is essential for telecom companies and business leaders. This systematic review aims to evaluate the infrastructure, performance, and strategic implications of wireless network technologies (3G, 4G, and 5G) across multiple industries and geographic regions, providing insights for SMEs and telecom companies on adopting these tech-nologies to enhance operational efficiency and competitiveness. A comprehensive search of aca-demic databases, including Google Scholar, Web of Science, and SCOPUS, was conducted using keywords such as “wireless network,” “3G,” “4G,” “5G,” “evaluation,” and “infrastructure.” Studies were selected based on pre-established eligibility criteria, and a risk of bias assessment was performed using the Newcastle-Ottawa Scale. Statistical synthesis and sensitivity analyses were conducted to identify key trends and challenges. A total of 121 studies were included, with the majority focusing on 5G technology (42%) and its infrastructure. Key findings highlight the importance of network densification, high-speed connectivity, and low-latency applications, par-ticularly in urban regions. The analysis also revealed significant regional disparities in infra-structure deployment, with developing countries facing challenges in expanding coverage and in-tegrating advanced technologies. Industry-specific customization of wireless networks is essen-tial for sectors such as manufacturing, healthcare, and retail. Wireless network technologies pre-sent vast opportunities for SMEs, but their successful implementation requires addressing re-gional infrastructure gaps and tailoring solutions to industry-specific needs. Telecom companies must prioritize strategic investments in network densification, scalability, and security to fully leverage the benefits of 5G. The findings of this review provide actionable insights for business leaders and policymakers aiming to optimize wireless technology deployments for enhanced performance and competitiveness.
DOI: 10.7910/dvn/de0ovp/7xgvjf
title: senator-approval.tab
DOI: 10.7910/dvn/de0ovp/vb8jr2
title: supplementary-appendix.pdf
DOI: 10.7910/dvn/ojbz67/dsbqpk
title: 17723489_61_18949676_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/ohmzyu
title: 17723489_61_18949676_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/pkzc31
title: 17723489_61_18949676_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/ql3kgl
title: 17723489_61_18949676_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/xsnne6
title: 17723489_61_18949676_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/rj7vuq/hkllwn
title: Analysis_other outcomes.do

description: :unav
DOI: 10.7910/dvn/rj7vuq/nmpvkq
title: Analysis.do

description: :unav
DOI: 10.7910/dvn/rj7vuq/y4zoi7
title: all reforms.tab

description: :unav
DOI: 10.7910/dvn/rj9pqc/05vose
title: Strength_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/rj9pqc/6pcmwr
title: Strength_Codebook.pdf
DOI: 10.7910/dvn/ojbz67/dc8dwr
title: 515767251 eyrTFrxCN 13544330_379_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/gdegyi
title: 515768255 tgAFoBjbG 24898238_339_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/tcgwnl
title: 515767251 eyrTFrxCN 13544330_379_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/tvdfjt
title: 515767251 eyrTFrxCN 13544330_379_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/vghbw8
title: 515767251 eyrTFrxCN 13544330_379_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/rj7vuq/2fvdbf
title: Append Enterprise surveys panel data.do

description: :unav
DOI: 10.7910/dvn/rj7vuq/8kbs4u
title: contract_intensity_IO_1997.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/kg4sl4
title: Contract intensity.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/kxd2gi
title: contract_intensity_IO_1997_clean.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/wrue2o
title: Budget.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/zep3oj
title: Contract intensity_BEA Input Output Table.tab

description: :unav
DOI: 10.7910/dvn/rr2cva/zbxecj
title: Baseline survey_Uganda.tab
DOI: 10.7910/dvn/ojbz67/3d4gpw
title: 515769246 tYX 22294348_855_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/fxdhfw
title: 515768255 tgAFoBjbG 24898238_339_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/gjqjab
title: 515769246 tYX 22294348_855_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/nc45rc
title: 515768255 tgAFoBjbG 24898238_339_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/npss0m
title: 515769246 tYX 22294348_855_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/z5yaci
title: 515768255 tgAFoBjbG 24898238_339_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/rj7vuq/5pvifq
title: Doing business_Enforcing contracts_clean.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/5sxrdm
title: Correspondence Enterprise survey BEA Input Ouput table.xlsx

description: :unav
DOI: 10.7910/dvn/rj7vuq/libcxz
title: Cost of claim.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/rifpms
title: Correspondence Enterprise survey Nunn data.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/xuistw
title: Doing business_Enforcing contracts.tab

description: :unav
DOI: 10.7910/dvn/rr2cva/0xk6ph
title: Six month_Uganda.tab
DOI: 10.7910/dvn/rr2cva/biks0x
title: Nine month switchers_Uganda.tab
DOI: 10.7910/dvn/rr2cva/ob0mki
title: Health worker administered DMPA codebook_Uganda.tab
DOI: 10.7910/dvn/rr2cva/q2ktgy
title: Three month switchers_Uganda.tab
DOI: 10.7910/dvn/rr2cva/sizlgg
title: Nine month_Uganda.tab
DOI: 10.7910/dvn/rr2cva/zuqjkn
title: Discontinuation_Uganda.tab
DOI: 10.7910/dvn/ojbz67/8nbpva
title: 515769246 tYX 22294348_855_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/ckmz2s
title: 515769253 ZnrMLHcbG 20322957_1454_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/fljxoa
title: 515769253 ZnrMLHcbG 20322957_1454_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/jkrjc5
title: 515769253 ZnrMLHcbG 20322957_1454_VarLen_Wave500Hz_Pleth-PLETH(-).txt
DOI: 10.7910/dvn/ojbz67/wzpvpw
title: 515769253 ZnrMLHcbG 20322957_1454_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/rj7vuq/0vsjoo
title: Doing business_Full data_clean.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/lleobx
title: Doing business reforms_clean.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/m5z4w7
title: Doing business_Full data.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/ng69uc
title: Doing business_p_betaT_l.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/oj1ife
title: Doing business_quality speed access.do

description: :unav
DOI: 10.7910/dvn/rj7vuq/rshxbg
title: Doing business reforms_clean-1.tab

description: :unav
DOI: 10.7910/dvn/rr2cva/nhoy0n
title: Three month_Uganda.tab
DOI: 10.7910/dvn/zgtpmb/73i4ak
title: 9 months_Burkina Faso.tab
DOI: 10.7910/dvn/zgtpmb/lqt9fw
title: 3 months survey_Burkina Faso.tab
DOI: 10.7910/dvn/zgtpmb/owu9r7
title: Baseline_Burkina Faso.tab
DOI: 10.7910/dvn/zgtpmb/q3glsy
title: 3 months switcher_Burkina Faso.tab
DOI: 10.7910/dvn/zgtpmb/qn5pgs
title: 6 months_Burkina Faso.tab
DOI: 10.7910/dvn/zgtpmb/tjbxwx
title: 9 months switcher_Burkina Faso.tab
DOI: 10.7910/dvn/ojbz67/6vyijw
title: 515770244 qynHpusXZI 12108017_301_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/ahzhzz
title: 515770244 qynHpusXZI 12108017_301_VarLen_Wave500Hz_Pleth-PLETH(-).txt
DOI: 10.7910/dvn/ojbz67/cctnvr
title: 515770244 qynHpusXZI 12108017_301_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/dshoy0
title: 515770250 tgAFMrxWx 20662028_2027_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/mrrl65
title: 515770250 tgAFMrxWx 20662028_2027_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/qx5pes
title: 515770244 qynHpusXZI 12108017_301_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/rj7vuq/3j0rff
title: Enterprise surveys_earlier waves_judicial_reforms_for merge with earlier waves.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/87sarx
title: Enterprise surveys_judicial_reforms_for merge with standardized dataset.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/pdaiov
title: Enterprise surveys_judicial_reforms.tab

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DOI: 10.7910/dvn/rj7vuq/ugkmob
title: Enterprise surveys_clean2.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/yqdghu
title: Enterprise surveys_Other_reforms.tab

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DOI: 10.7910/dvn/rj7vuq/z6kimm
title: Enterprise surveys_PRE data.tab

description: :unav
DOI: 10.7910/dvn/zgtpmb/umxafc
title: Health worker administered DMPA codebook_Burkina Faso.tab
DOI: 10.7910/dvn/zgtpmb/xttbdm
title: Discontinuation_Burkina Faso.tab
DOI: 10.17632/tnfypnmw22.1
title: Socio-Demographic Variables and Perception of Undergraduates on Efficacy of Cyber Counselling Platforms in Managing Mental Health in a Distressed Nigerian Economy

description: This dataset is for a study that sought to investigate the influence of socio-demographic variables on perception of undergraduates on efficacy of cyber counselling platforms in managing mental health in a distressed Nigerian economy. The study, which used a sample of 800 undergraduates, was guided by six research questions and six hypotheses. A researchers-developed instrument titled “Questionnaire on Perceptions towards Cyber Counselling Platforms” (QPCCP) was used in generating the published data. The QPCCP had two sections, A and B. Section A of the instrument gathered demographic information about the respondents, while Section B had 7 items which sought to establish the perception of the undergraduates on cyber counselling platforms. The Section B of the QPCCP was constructed using Likert-like scale response options which included Strongly Agree (SA), Agree (A), Disagree (D) and Strongly Disagree (SD). These responses were scored 4, 3, 2 and 1 respectively for positively worded items, while reverse scoring of 1, 2, 3, and 4 was done for negatively worded items. Out of the seven items in the Part II, five items were positively worded while item number 5 and 7 were negatively worded.

The datasheet is presented using the coding of the items on the questionnaire. Respondents from Federal university were coded 1 while those from state university were coded 2. Males and females were coded 1 and 2 respectively; while the ages of the respondents were coded 1, 2, 3 and 4, for 17-20years, 21-25years, 26-30years, and above 30years respectively. The respondents’ levels of study were coded 1 for Year 1, 2 for Year 2, 3 for Year 3, and 4 for Year 4. On area of discipline of the respondents, 1, 2, 3 and 4 were used for Sciences, Education, Arts and Social Sciences respectively. Items 1 to 7 on the datasheet represent the seven items on section B of the questionnaire.

The results of the study indicated that sex, year of study, area of discipline and age of the students had significant influence, while ownership of university showed no significant influence, on the perception of undergraduates towards cyber counselling.
DOI: 10.7910/dvn/ojbz67/0fd8nn
title: 515770258 hABbUAMeN 27521878_2670_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/9mrroy
title: 515770258 hABbUAMeN 27521878_2670_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/a6bhzb
title: 515770250 tgAFMrxWx 20662028_2027_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/djtzcw
title: 515770258 hABbUAMeN 27521878_2670_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/vypzxl
title: 515770250 tgAFMrxWx 20662028_2027_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/waedvy
title: 515770258 hABbUAMeN 27521878_2670_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/rj7vuq/ecb0av
title: Figure 2b graph_h7a_DJ4g1m=0.png

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DOI: 10.7910/dvn/rj7vuq/enfyfk
title: Figure 2c graph_va_perwo_ppp_trim1_DJ4g1m=1.png

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DOI: 10.7910/dvn/rj7vuq/i3wmzm
title: Figure 2d graph_va_perwo_ppp_trim1_DJ4g1m=0.png

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DOI: 10.7910/dvn/rj7vuq/izyufl
title: Figure 2a graph_h7a_DJ4g1m=1.png

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DOI: 10.7910/dvn/rj7vuq/mhjabk
title: Figure 2 Map World Sueing Condition in black and white.png

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DOI: 10.7910/dvn/rj7vuq/qjbmeh
title: Figure 2e graph_va_perwo_ppp_trim1_DJ4g1m=1_pre trends.png

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DOI: 10.7910/dvn/uyayfs/pytlaq
title: Self-injection continuation codebook_Uganda.xlsx
DOI: 10.7910/dvn/uyayfs/yoi0zh
title: Self-injection continuation dataset_Uganda.tab
DOI: 10.7910/dvn/9i106t/i29xyk
title: Analysis.do
DOI: 10.7910/dvn/ojbz67/5nc43k
title: 515770264 ZnHrUnxzAw 24380456_1117_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/bkubdl
title: 515770264 ZnHrUnxzAw 24380456_1117_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/lhvzqe
title: 515770264 ZnHrUnxzAw 24380456_1117_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/nhi0ka
title: 515770264 ZnHrUnxzAw 24380456_1117_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/rj7vuq/b2poho
title: Figure 3b CI Germany per sector.png

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DOI: 10.7910/dvn/rj7vuq/bbqke2
title: Figure 2 Triple differences.do

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DOI: 10.7910/dvn/rj7vuq/g1xdzj
title: Figure B1 Correlation Rule of Law GDP per worker.png

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DOI: 10.7910/dvn/rj7vuq/l8p0y2
title: Figure 3a CI Germany.png

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DOI: 10.7910/dvn/rj7vuq/oo71an
title: Figure C7 Map Reforms.png

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DOI: 10.7910/dvn/9i106t/e0s3na
title: Appendix.pdf
DOI: 10.7910/dvn/9i106t/fngmvm
title: ReadMe.txt
DOI: 10.7910/dvn/9i106t/kgcsjh
title: Data.tab
DOI: 10.7910/dvn/ojbz67/gpo1fd
title: 515771263 tAODLHx 14591902_523_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/mbe0lv
title: 515771263 tAODLHx 14591902_523_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/stbals
title: 515771249 ikrlbAcexB 25706511_105_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/uyndv0
title: 515771249 ikrlbAcexB 25706511_105_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/ykyfeb
title: 515771249 ikrlbAcexB 25706511_105_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/zq8zr4
title: 515771249 ikrlbAcexB 25706511_105_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/rj7vuq/brhvcs
title: Figure E1E2 Suing condition and Polity.do

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DOI: 10.7910/dvn/rj7vuq/lysbs7
title: Figure E1c graph_va_perwo_ppp_trim1_Reform_Specific_positive_sueing_condition.png

description: :unav
DOI: 10.7910/dvn/rj7vuq/obspgy
title: Figure E1d graph_va_perwo_ppp_trim1_Reform_Generic_positive_sueing_condition.png

description: :unav
DOI: 10.7910/dvn/rj7vuq/poesfi
title: Figure E1a graph_va_perwo_ppp_trim1_Reform_Specific_negative_sueing_condition.png

description: :unav
DOI: 10.7910/dvn/rj7vuq/rtkfwx
title: Figure E1b graph_va_perwo_ppp_trim1_Reform_Generic_negative_sueing_condition.png

description: :unav
DOI: 10.17632/jn5ctf6fnm.1
title: Dataset on personal characteristics as correlates of teachers’ awareness on learning disabilities

description: This data was gather for a study that sought to investigate personal characteristics as correlates of teachers’ awareness on learning disabilities in primary schools in Calabar Municipality of Cross River State, Nigeria. The study was guided by five research questions and five hypotheses; the data was generated using researchers-developed questionnaire titled “Awareness on Learning Disabilities Questionnaire” (ALDQ). Section A of the instrument gathered demographic information about the respondents, while Section B was a 10 item section which sought to establish the level of awareness of primary school teachers on the concept of learning disability. The section B had Very True, True, Untrue and Very Untrue as the response options, with scoring 4, 3, 2 and 1 respectively.

The datasheet is presented using the coding of the items on the questionnaire. Males and females were coded 1 and 2, teaching experiences were coded 1,2,3 and 4, for 1-5years, 6-10years, 11-15years, and above 15years respectively. Educational qualifications of the students were coded 1 for NCE, 2 for BEd, 3 for B.Sc/B.A/HND, 4 for MEd and 5 for PhD. On professional status of the respondents, 1 was used for those that had a certificate/degree in education, while 2 was used as the code for those that do not. Items 1 to 10 on the datasheet represent the 10 items on section B of the questionnaire.

The findings of the study showed that, generally, the level of teachers’ awareness on learning disability was significantly low. The findings also indicated that while professional status had no influence on the level of teachers’ awareness on learning disability, other personal characteristics of teachers including gender, educational qualification and teaching experience had significant influence on teachers’ level of awareness on learning disability.
DOI: 10.7910/dvn/ojbz67/2ultjo
title: 515862250 qYnHzrsIxs 276748615_236_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/ahjka2
title: 515862250 qYnHzrsIxs 276748615_236_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/bcdlqa
title: 515771263 tAODLHx 14591902_523_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/fixk9b
title: 515862250 qYnHzrsIxs 276748615_236_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/n2juuq
title: 515771263 tAODLHx 14591902_523_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/rj7vuq/btpj5h
title: Figure E2c graph_va_perwo_ppp_trim1_Reform_Specific_Above_Median_Polity_IV.png

description: :unav
DOI: 10.7910/dvn/rj7vuq/djufbv
title: Figure E2b graph_va_perwo_ppp_trim1_Reform_Generic_Below_Median_Polity_IV.png

description: :unav
DOI: 10.7910/dvn/rj7vuq/fkrpub
title: Figures.do

description: :unav
DOI: 10.7910/dvn/rj7vuq/fytllq
title: Figure E2a graph_va_perwo_ppp_trim1_Reform_Specific_Below_Median_Polity_IV.png

description: :unav
DOI: 10.7910/dvn/rj7vuq/krpx2f
title: Foreign aid_clean.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/rwfauv
title: Figure E2d graph_va_perwo_ppp_trim1_Reform_Generic_Above_Median_Polity_IV.png

description: :unav
DOI: 10.7910/dvn/ojbz67/1ks1v5
title: 515862251 eAnMTlEItB 219721565_123_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/klgfav
title: 515862250 qYnHzrsIxs 276748615_236_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/rgfjso
title: 515862251 eAnMTlEItB 219721565_123_VarLen_Wave500Hz_ECG_II.txt
DOI: 10.7910/dvn/ojbz67/xpbgvd
title: 515862251 eAnMTlEItB 219721565_123_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/yaxngd
title: 515862251 eAnMTlEItB 219721565_123_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/zlljft
title: 515862251 ZnHrhQo 33490460_594_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/riragn/guhcll
title: Jones_Studies123Pooled_Syntax.sps
DOI: 10.7910/dvn/riragn/kqqopz
title: Jones_README.docx
DOI: 10.7910/dvn/rj7vuq/2i5exn
title: GDP per capita_clean.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/51mryl
title: GDP per capita_clean2.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/rldnun
title: Foreign aid.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/upsqwu
title: GDP per capita2.tab

description: :unav
DOI: 10.7910/dvn/rj7vuq/y5l4e3
title: GDP per capita_clean_2015.tab

description: :unav