cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21904179
title: Supplementary Material for: Effects of Cognitive Training in Flanker Task on Mobility of Older Adults: A Randomized Controlled Trail

description: Introduction: Cognitive function is considered to be correlated with the older adults’ mobility. Flanker task, reflecting the conflict resolution, is barely explored as a simple approach to train the elderly’s cognitive function. Hence, the first aim of this study is to explore the effect of cognitive intervention adopting flanker task on mobility. The second aim of this study is to assess the effect of cognitive training by comparing it with physical training to disclose how much dosage of cognitive training can have the equal improvement of mobility with physical training. Methods: 232 older adults (age, mean ± SD: 66.16 ± 7.08, female: 74.3%) were retrained and assigned into three groups (cognitive intervention group, physical exercise intervention group, and control group). The intervention lasted for 22 weeks (cognitive intervention: flanker task, 30 min per session, 3 sessions a week; physical exercise intervention: 30 min muscle and balance training session, twice a week, and 30 min daily walking and housework, 2-4 times a week). Grip strength, 30-s chair-stand test, single leg balance with eye closed, and the timed “Up & Go” (TUG) were used as indicators of mobility. A mixed model analysis of variance (ANOVA), interaction effect, and simple effect were performed in statistical analysis. Results: Both intervention groups improved mobility, and the results were similar behaviorally. However, the exercise intervention group performed better in 30-s chair-stand test (25.14±0.67 vs. 23.71±0.76 with p=0.01) and single leg balance with eye closed (8.15±0.69 vs. 6.14±0.43 with p&lt;0.001). Discussion/ Conclusion: 22-week cognitive intervention (for total 1980 min) could improve the elderly’s mobility to the similar extent of mild to moderate physical exercises (1320 min of functional muscle and balance training and 1980 daily physical activities), which ascertained the far transfer effects from cognition to untrained mobility domain and found a comparable dosage of cognitive and physical exercise training.
DOI: 10.6084/m9.figshare.21904179.v1
title: Supplementary Material for: Effects of Cognitive Training in Flanker Task on Mobility of Older Adults: A Randomized Controlled Trail

description: Introduction: Cognitive function is considered to be correlated with the older adults’ mobility. Flanker task, reflecting the conflict resolution, is barely explored as a simple approach to train the elderly’s cognitive function. Hence, the first aim of this study is to explore the effect of cognitive intervention adopting flanker task on mobility. The second aim of this study is to assess the effect of cognitive training by comparing it with physical training to disclose how much dosage of cognitive training can have the equal improvement of mobility with physical training. Methods: 232 older adults (age, mean ± SD: 66.16 ± 7.08, female: 74.3%) were retrained and assigned into three groups (cognitive intervention group, physical exercise intervention group, and control group). The intervention lasted for 22 weeks (cognitive intervention: flanker task, 30 min per session, 3 sessions a week; physical exercise intervention: 30 min muscle and balance training session, twice a week, and 30 min daily walking and housework, 2-4 times a week). Grip strength, 30-s chair-stand test, single leg balance with eye closed, and the timed “Up & Go” (TUG) were used as indicators of mobility. A mixed model analysis of variance (ANOVA), interaction effect, and simple effect were performed in statistical analysis. Results: Both intervention groups improved mobility, and the results were similar behaviorally. However, the exercise intervention group performed better in 30-s chair-stand test (25.14±0.67 vs. 23.71±0.76 with p=0.01) and single leg balance with eye closed (8.15±0.69 vs. 6.14±0.43 with p&lt;0.001). Discussion/ Conclusion: 22-week cognitive intervention (for total 1980 min) could improve the elderly’s mobility to the similar extent of mild to moderate physical exercises (1320 min of functional muscle and balance training and 1980 daily physical activities), which ascertained the far transfer effects from cognition to untrained mobility domain and found a comparable dosage of cognitive and physical exercise training.
DOI: 10.5517/ccdc.csd.cc1lgjq9
title: CCDC 1473731: Experimental Crystal Structure Determination

description: Related Article: Liming Fan, Lingling Gao, Guohua Ren, Jie Zhang, Liangqin Huo, Xiaoqing Wang, Xiaoyan Niu, Tuoping Hu|2018|J.Solid State Chem.|264|15|doi:10.1016/j.jssc.2018.04.036
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d7482
title: CSD 2211393: Experimental Crystal Structure Determination

description: Related Article: Hong Yin, Huaiyu Li, Xiang-xiang Yu, Minglei Cao|2022|CSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21227/4khe-gx08
title: Scedasticity descriptor of terrestrial wireless communications channels for multipath clustering datasets

description: Fifth-generation (5G) wireless systems increased the bandwidth, improved the speed, and shortened the latency of communications systems. Various channel models are developed to study 5G. These channel models reproduce the stochastic properties of multiple-input multiple-output (MIMO) antennas by generating wireless multipath components (MPCs). The MPCs that have similar properties in delay, angles of departure, and angles of arrival form clusters. The multipaths and multipath clusters serve as datasets and are clustered to understand the properties of 5G. These datasets generated by the COST 2100, IMT-2020, QuaDRiGa, and WINNER II channel models are tested for their homoscedasticity based on Johansen's procedure. Results show that the COST 2100, QuaDRiGa, and WINNER II datasets are heteroscedastic, while the IMT-2020 dataset is homoscedastic.
DOI: 10.5519/qd.1o0g76n1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (22 records)
DOI: 10.17028/rd.lboro.21904113
title: Supplementary information files for Applying the COM-B model to understand wearable activity tracker use in children and adolescents

description: Supplementary files for article Applying the COM-B model to understand wearable activity tracker use in children and adolescents <br> Aim: Wearable activity trackers (wearables) are increasingly popular intervention tools for increasing child and adolescent physical activity (PA) levels. However, the large-scale habitual use of wearables in children and adolescents is unknown. This study investigated the prevalence of wearable use in children and adolescents, and what factors impact their use. <br> Subjects and methods: This study utilised a cross-sectional survey and the ‘Capability, Opportunity, Motivation and Behaviour’ (COM-B) model was applied to explore what child/adolescent and parental characteristics impact wearable use. Parents/guardians of 5- to 17-year-olds were invited to complete the survey. The survey was open internationally, and consisted of between 19 and 23 questions, depending on child/adolescent wearable use. Multinomial logistic regression analyses were conducted to explore variables impacting wearable use, in children (5 to 9 years) and adolescents (10 to 17 years). <br> Results: The survey was completed by 652 parents, representing 831 children/adolescents. Most children/adolescents had never used a wearable (n = 429; 51.6%), and 252 (30.3%) and 150 (18.1%) currently or had previously used a wearable, respectively. Child age and sex, capability, opportunity and motivation for PA were associated with wearable use, and differences were present between child (5 to 9 years) and adolescent (10 to 17 years) wearable use. <br> Conclusions: This study offers a novel contribution to the understanding of child and adolescent habitual wearable use, and what impacts wearable use in these age groups.
DOI: 10.25500/edata.bham.00000911
title: Research data supporting the publication "Error-correction mechanisms in language learning: modeling individuals"
DOI: 10.6084/m9.figshare.21904221
title: Supplementary Material for: Effects of Cognitive Training in Flanker Task on Mobility of Older Adults: A Randomized Controlled Trail

description: Introduction: Cognitive function is considered to be correlated with the older adults’ mobility. Flanker task, reflecting the conflict resolution, is barely explored as a simple approach to train the elderly’s cognitive function. Hence, the first aim of this study is to explore the effect of cognitive intervention adopting flanker task on mobility. The second aim of this study is to assess the effect of cognitive training by comparing it with physical training to disclose how much dosage of cognitive training can have the equal improvement of mobility with physical training. Methods: 232 older adults (age, mean ± SD: 66.16 ± 7.08, female: 74.3%) were retrained and assigned into three groups (cognitive intervention group, physical exercise intervention group, and control group). The intervention lasted for 22 weeks (cognitive intervention: flanker task, 30 min per session, 3 sessions a week; physical exercise intervention: 30 min muscle and balance training session, twice a week, and 30 min daily walking and housework, 2-4 times a week). Grip strength, 30-s chair-stand test, single leg balance with eye closed, and the timed “Up & Go” (TUG) were used as indicators of mobility. A mixed model analysis of variance (ANOVA), interaction effect, and simple effect were performed in statistical analysis. Results: Both intervention groups improved mobility, and the results were similar behaviorally. However, the exercise intervention group performed better in 30-s chair-stand test (25.14±0.67 vs. 23.71±0.76 with p=0.01) and single leg balance with eye closed (8.15±0.69 vs. 6.14±0.43 with p&lt;0.001). Discussion/ Conclusion: 22-week cognitive intervention (for total 1980 min) could improve the elderly’s mobility to the similar extent of mild to moderate physical exercises (1320 min of functional muscle and balance training and 1980 daily physical activities), which ascertained the far transfer effects from cognition to untrained mobility domain and found a comparable dosage of cognitive and physical exercise training.
DOI: 10.6084/m9.figshare.21904221.v1
title: Supplementary Material for: Effects of Cognitive Training in Flanker Task on Mobility of Older Adults: A Randomized Controlled Trail

description: Introduction: Cognitive function is considered to be correlated with the older adults’ mobility. Flanker task, reflecting the conflict resolution, is barely explored as a simple approach to train the elderly’s cognitive function. Hence, the first aim of this study is to explore the effect of cognitive intervention adopting flanker task on mobility. The second aim of this study is to assess the effect of cognitive training by comparing it with physical training to disclose how much dosage of cognitive training can have the equal improvement of mobility with physical training. Methods: 232 older adults (age, mean ± SD: 66.16 ± 7.08, female: 74.3%) were retrained and assigned into three groups (cognitive intervention group, physical exercise intervention group, and control group). The intervention lasted for 22 weeks (cognitive intervention: flanker task, 30 min per session, 3 sessions a week; physical exercise intervention: 30 min muscle and balance training session, twice a week, and 30 min daily walking and housework, 2-4 times a week). Grip strength, 30-s chair-stand test, single leg balance with eye closed, and the timed “Up & Go” (TUG) were used as indicators of mobility. A mixed model analysis of variance (ANOVA), interaction effect, and simple effect were performed in statistical analysis. Results: Both intervention groups improved mobility, and the results were similar behaviorally. However, the exercise intervention group performed better in 30-s chair-stand test (25.14±0.67 vs. 23.71±0.76 with p=0.01) and single leg balance with eye closed (8.15±0.69 vs. 6.14±0.43 with p&lt;0.001). Discussion/ Conclusion: 22-week cognitive intervention (for total 1980 min) could improve the elderly’s mobility to the similar extent of mild to moderate physical exercises (1320 min of functional muscle and balance training and 1980 daily physical activities), which ascertained the far transfer effects from cognition to untrained mobility domain and found a comparable dosage of cognitive and physical exercise training.
DOI: 10.6084/m9.figshare.21904224
title: Supplementary Material for: Effects of Cognitive Training in Flanker Task on Mobility of Older Adults: A Randomized Controlled Trail

description: Introduction: Cognitive function is considered to be correlated with the older adults’ mobility. Flanker task, reflecting the conflict resolution, is barely explored as a simple approach to train the elderly’s cognitive function. Hence, the first aim of this study is to explore the effect of cognitive intervention adopting flanker task on mobility. The second aim of this study is to assess the effect of cognitive training by comparing it with physical training to disclose how much dosage of cognitive training can have the equal improvement of mobility with physical training. Methods: 232 older adults (age, mean ± SD: 66.16 ± 7.08, female: 74.3%) were retrained and assigned into three groups (cognitive intervention group, physical exercise intervention group, and control group). The intervention lasted for 22 weeks (cognitive intervention: flanker task, 30 min per session, 3 sessions a week; physical exercise intervention: 30 min muscle and balance training session, twice a week, and 30 min daily walking and housework, 2-4 times a week). Grip strength, 30-s chair-stand test, single leg balance with eye closed, and the timed “Up & Go” (TUG) were used as indicators of mobility. A mixed model analysis of variance (ANOVA), interaction effect, and simple effect were performed in statistical analysis. Results: Both intervention groups improved mobility, and the results were similar behaviorally. However, the exercise intervention group performed better in 30-s chair-stand test (25.14±0.67 vs. 23.71±0.76 with p=0.01) and single leg balance with eye closed (8.15±0.69 vs. 6.14±0.43 with p&lt;0.001). Discussion/ Conclusion: 22-week cognitive intervention (for total 1980 min) could improve the elderly’s mobility to the similar extent of mild to moderate physical exercises (1320 min of functional muscle and balance training and 1980 daily physical activities), which ascertained the far transfer effects from cognition to untrained mobility domain and found a comparable dosage of cognitive and physical exercise training.
DOI: 10.6084/m9.figshare.21904224.v1
title: Supplementary Material for: Effects of Cognitive Training in Flanker Task on Mobility of Older Adults: A Randomized Controlled Trail

description: Introduction: Cognitive function is considered to be correlated with the older adults’ mobility. Flanker task, reflecting the conflict resolution, is barely explored as a simple approach to train the elderly’s cognitive function. Hence, the first aim of this study is to explore the effect of cognitive intervention adopting flanker task on mobility. The second aim of this study is to assess the effect of cognitive training by comparing it with physical training to disclose how much dosage of cognitive training can have the equal improvement of mobility with physical training. Methods: 232 older adults (age, mean ± SD: 66.16 ± 7.08, female: 74.3%) were retrained and assigned into three groups (cognitive intervention group, physical exercise intervention group, and control group). The intervention lasted for 22 weeks (cognitive intervention: flanker task, 30 min per session, 3 sessions a week; physical exercise intervention: 30 min muscle and balance training session, twice a week, and 30 min daily walking and housework, 2-4 times a week). Grip strength, 30-s chair-stand test, single leg balance with eye closed, and the timed “Up & Go” (TUG) were used as indicators of mobility. A mixed model analysis of variance (ANOVA), interaction effect, and simple effect were performed in statistical analysis. Results: Both intervention groups improved mobility, and the results were similar behaviorally. However, the exercise intervention group performed better in 30-s chair-stand test (25.14±0.67 vs. 23.71±0.76 with p=0.01) and single leg balance with eye closed (8.15±0.69 vs. 6.14±0.43 with p&lt;0.001). Discussion/ Conclusion: 22-week cognitive intervention (for total 1980 min) could improve the elderly’s mobility to the similar extent of mild to moderate physical exercises (1320 min of functional muscle and balance training and 1980 daily physical activities), which ascertained the far transfer effects from cognition to untrained mobility domain and found a comparable dosage of cognitive and physical exercise training.
DOI: 10.6084/m9.figshare.21904182
title: Leptodactylus fallax sample information for MHC genotyping

description: Supplementary dataset providing sample information for the mountain chicken frog (Leptodactylus fallax) samples used in the characterisation of the MHC class I and II exon 2.
DOI: 10.5519/qd.8x64l5xx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (44 records)
DOI: 10.6084/m9.figshare.21904173
title: BEH 3796 Supplementary material

description: <strong>Figure </strong><em><strong>A</strong></em><strong>1.</strong> PC1 effort score vs RBM for the stimulus songs. The tables show the GLMM results.
DOI: 10.6084/m9.figshare.21904173.v1
title: BEH 3796 Supplementary material

description: <strong>Figure </strong><em><strong>A</strong></em><strong>1.</strong> PC1 effort score vs RBM for the stimulus songs. The tables show the GLMM results.
DOI: 10.5281/zenodo.4725485
title: CCG Starter Data Kit: Senegal

description: A starter data kit for Senegal
DOI: 10.5281/zenodo.4729507
title: CCG Starter Data Kit: Senegal

description: A starter data kit for Senegal
DOI: 10.5281/zenodo.4756791
title: CCG Starter Data Kit: Senegal

description: A starter data kit for Senegal
DOI: 10.5281/zenodo.5733329
title: CCG Starter Data Kit: Senegal

description: A starter data kit for Senegal
DOI: 10.5281/zenodo.6542385
title: CCG Starter Data Kit: Senegal

description: A starter data kit for Senegal
DOI: 10.5281/zenodo.7540414
title: CCG Starter Data Kit: Senegal

description: A starter data kit for Senegal
DOI: 10.5281/zenodo.4725484
title: CCG Starter Data Kit: Senegal

description: A starter data kit for Senegal
DOI: 10.57745/06pewd
title: ITS_149samples_Table_OTUs_brute_Level7.tab

description: ITS ASV raw Table (Bayes Algorithm)
DOI: 10.57745/rar4ai
title: tabulated-ITS_149samples_metadata.qzv

description: ITS Taxonomic Boxplot (Bayes algorithm) - QIIME2 format
DOI: 10.57745/3xtgxq
title: drought2_ITS.qza

description: Raw ASV Table (QIIME2 format)
DOI: 10.57745/uoirsl
title: ITS_149samples.qza

description: ITS sequences (QIIME2 format)
DOI: 10.57745/it6avy
title: drought2_16S.qza

description: Raw ASV Table (QIIME2 format)
DOI: 10.57745/y18pp1
title: ITS_149samples_Table_OTUs_filtered_Level7.tab

description: ITS ASV Filtered Table (Bayes algorithm)
DOI: 10.57745/x4goys
title: 16S_08-biom2tsv.tab

description: Distribution of the 1,487 OTUs in each sample with taxonomic affiliation.
DOI: 10.57745/4syh8e
title: 16S_04-filters.fasta

description: 1,487 OTUs sequences.
DOI: 10.57745/ggrbt3
title: 16S_Filtered_Table.tab

description: 16S Filtered OTUs Table
DOI: 10.57745/ajxnzy
title: README_ITS_16S.txt

description: Readme File
DOI: 10.6084/m9.figshare.21904122
title: Power Effects on the Activation and Application of Meta-stereotypes: The Mediating Role of Perspective Taking

description: It contains four experimental data, which are stored in the database SPSS.
DOI: 10.6084/m9.figshare.21904122.v1
title: Power Effects on the Activation and Application of Meta-stereotypes: The Mediating Role of Perspective Taking

description: It contains four experimental data, which are stored in the database SPSS.
DOI: 10.5281/zenodo.4725545
title: CCG Starter Data Kit: Sierra Leone

description: A starter data kit for Sierra Leone
DOI: 10.5281/zenodo.4729492
title: CCG Starter Data Kit: Sierra Leone

description: A starter data kit for Sierra Leone
DOI: 10.5281/zenodo.4725544
title: CCG Starter Data Kit: Sierra Leone

description: A starter data kit for Sierra Leone
DOI: 10.5281/zenodo.4756795
title: CCG Starter Data Kit: Sierra Leone

description: A starter data kit for Sierra Leone
DOI: 10.5281/zenodo.4993950
title: CCG Starter Data Kit: Sierra Leone

description: A starter data kit for Sierra Leone
DOI: 10.5281/zenodo.7189034
title: CCG Starter Data Kit: Sierra Leone

description: A starter data kit for Sierra Leone
DOI: 10.5281/zenodo.7540460
title: CCG Starter Data Kit: Sierra Leone

description: A starter data kit for Sierra Leone
DOI: 10.34820/fk2/81eio4/7j4jnh
title: OUTPUT wirausaha.doc

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/hoa43c
title: 2. Output karyawan.spv

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/p5ueys
title: Radar diagram for VAIL parameter study.jpg

description: This diagram is used to measure the respondents tendency in the context of Value of life, Attitude, Interest, Lifestyle
DOI: 10.34820/fk2/81eio4/3rztng
title: OUTPUT resident.doc

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/9ol3x0
title: 1. Output Pelajar.spv

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/tsuj4m
title: 4. Input Data Residential Area.tab

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/vzz0e6
title: 3. Input Data Wirausaha.tab

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/xbk6wl
title: 3. Output Wirausaha.spv

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/62izw7
title: OUTPUT karyawan.doc

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/dbypyk
title: 1. Input Data Pelajar.tab

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/htnti4
title: 4. Input Data all Area.tab

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/n1lb8y
title: 4. Output Residential Area.spv

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022
DOI: 10.34820/fk2/81eio4/psm7hv
title: OUTPUT pelajar.doc

description: Data hasil questionnaire dalam penelitian preferensi pengguna sepeda motor di kota Bandung 2022