cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.28286933.v1
title: Supplementary information files for "A replicate crossover trial on the inter-individual variability of sleep indices in response to acute exercise undertaken by healthy men"

description: Supplementary files for article "A replicate crossover trial on the inter-individual variability of sleep indices in response to acute exercise undertaken by healthy men"<br><br><b>Study objective</b>: Using the necessary replicate-crossover design, we investigated whether there is inter-individual variability in home-assessed sleep in response to acute exercise.<br><b>Methods</b>: Eighteen healthy men (mean(SD): 26(6) years) completed two identical control (8-h laboratory rest, 08:45-16:45) and two identical exercise (7-h laboratory rest; 1-h laboratory treadmill run [62(7)% peak oxygen uptake], 15:15-16:15) trials in randomised sequences. Wrist-worn actigraphy (MotionWatch 8) measured home-based sleep (total sleep time, actual wake time, sleep latency, sleep efficiency) two nights before (nights 1-2) and three nights after (nights 3-5) the exercise/control day. Pearson’s correlation coefficients quantified the consistency of individual differences between the replicates of control-adjusted exercise responses to explore: (1) immediate (night 3 minus night 2); (2) delayed (night 5 minus night 2); and (3) overall (average post-intervention minus average pre-intervention) exercise- related effects. Within-participant linear mixed models and a random-effects between- participant meta-analysis estimated participant-by-trial response heterogeneity.<br><b>Results</b>: For all comparisons and sleep outcomes, the between-replicate correlations were non-significant, ranging from trivial-to-moderate (r range = -0.44 to 0.41, P≥0.065). Participant-by-trial interactions were trivial. Individual differences SDs were small, prone to uncertainty around the estimates indicated by wide 95% confidence intervals and did not provide support for true individual response heterogeneity. Meta-analyses of the between-participant, replicate-averaged condition effect revealed that, again, heterogeneity (τ) was negligible for most sleep outcomes.<br><b>Conclusion</b>: Control-adjusted sleep in response to acute exercise was inconsistent when measured on repeated occasions. Inter-individual differences in sleep in response to exercise4 were small compared to the natural (trial-to-trial) within-subject variability in sleep outcomes.<br>© The Authors, CC BY-NC-ND 4.0<br>
DOI: 10.17028/rd.lboro.28286933
title: Supplementary information files for "A replicate crossover trial on the inter-individual variability of sleep indices in response to acute exercise undertaken by healthy men"

description: Supplementary files for article "A replicate crossover trial on the inter-individual variability of sleep indices in response to acute exercise undertaken by healthy men"<br><br><b>Study objective</b>: Using the necessary replicate-crossover design, we investigated whether there is inter-individual variability in home-assessed sleep in response to acute exercise.<br><b>Methods</b>: Eighteen healthy men (mean(SD): 26(6) years) completed two identical control (8-h laboratory rest, 08:45-16:45) and two identical exercise (7-h laboratory rest; 1-h laboratory treadmill run [62(7)% peak oxygen uptake], 15:15-16:15) trials in randomised sequences. Wrist-worn actigraphy (MotionWatch 8) measured home-based sleep (total sleep time, actual wake time, sleep latency, sleep efficiency) two nights before (nights 1-2) and three nights after (nights 3-5) the exercise/control day. Pearson’s correlation coefficients quantified the consistency of individual differences between the replicates of control-adjusted exercise responses to explore: (1) immediate (night 3 minus night 2); (2) delayed (night 5 minus night 2); and (3) overall (average post-intervention minus average pre-intervention) exercise- related effects. Within-participant linear mixed models and a random-effects between- participant meta-analysis estimated participant-by-trial response heterogeneity.<br><b>Results</b>: For all comparisons and sleep outcomes, the between-replicate correlations were non-significant, ranging from trivial-to-moderate (r range = -0.44 to 0.41, P≥0.065). Participant-by-trial interactions were trivial. Individual differences SDs were small, prone to uncertainty around the estimates indicated by wide 95% confidence intervals and did not provide support for true individual response heterogeneity. Meta-analyses of the between-participant, replicate-averaged condition effect revealed that, again, heterogeneity (τ) was negligible for most sleep outcomes.<br><b>Conclusion</b>: Control-adjusted sleep in response to acute exercise was inconsistent when measured on repeated occasions. Inter-individual differences in sleep in response to exercise4 were small compared to the natural (trial-to-trial) within-subject variability in sleep outcomes.<br>© The Authors, CC BY-NC-ND 4.0<br>
DOI: 10.6084/m9.figshare.25782827
title: Bimodal diurnal preference in undergraduate students is associated with negative health and sleep outcomes

description: The bimodal preference is a fourth diurnal preference proposed by re-scoring the Morningness-Eveningness Questionnaire. The present work aimed to describe the prevalence of the bimodal preference in a sample of undergraduate students and to characterize the bimodal type in terms of their health and sleep-related outcomes. A web-based cross-sectional study conducted between September 2018 and March 2021 (convenience sampling method). The sample was composed of undergraduate students who completed an electronic form that included the Morningness and Eveningness Questionnaire, the Pittsburgh Sleep Quality Index, the Self-Compassion Scale, the Epworth Sleepiness Scale, the Hospital Anxiety and Depression Scale, and the World Health Organization Subjective Well-Being Index. The final sample consisted of 615 students (82% female, mean age: 23.4 ± 6.5 years), of whom 108 (18%) had positive bimodality indexes. Bimodal subjects comprised 48 students, 8% of the total sample. Bimodal subjects had poorer subjective sleep quality, more daytime sleepiness, lower subjective well-being, greater anxiety and depression symptoms, and lower self-compassion than morning and/or intermediate types; they did not differ from evening types. The description of bimodal diurnal preference in this population may be of interest for the design of academic policies more in line with the circadian reality of students.
DOI: 10.6084/m9.figshare.25782827.v1
title: Bimodal diurnal preference in undergraduate students is associated with negative health and sleep outcomes

description: The bimodal preference is a fourth diurnal preference proposed by re-scoring the Morningness-Eveningness Questionnaire. The present work aimed to describe the prevalence of the bimodal preference in a sample of undergraduate students and to characterize the bimodal type in terms of their health and sleep-related outcomes. A web-based cross-sectional study conducted between September 2018 and March 2021 (convenience sampling method). The sample was composed of undergraduate students who completed an electronic form that included the Morningness and Eveningness Questionnaire, the Pittsburgh Sleep Quality Index, the Self-Compassion Scale, the Epworth Sleepiness Scale, the Hospital Anxiety and Depression Scale, and the World Health Organization Subjective Well-Being Index. The final sample consisted of 615 students (82% female, mean age: 23.4 ± 6.5 years), of whom 108 (18%) had positive bimodality indexes. Bimodal subjects comprised 48 students, 8% of the total sample. Bimodal subjects had poorer subjective sleep quality, more daytime sleepiness, lower subjective well-being, greater anxiety and depression symptoms, and lower self-compassion than morning and/or intermediate types; they did not differ from evening types. The description of bimodal diurnal preference in this population may be of interest for the design of academic policies more in line with the circadian reality of students.
DOI: 10.6084/m9.figshare.25965481
title: Scoping review: Exploring the relationship between chrononutrition and glycemic responses in the adult population

description: Chrononutrition, an emerging body of evidence on the relationship between biological rhythms and metabolism, has been established to be associated with glycemic responses. However, the available evidence is inconsistent, due to protocol variations. Therefore, this review aims to summarize the findings on chrononutrition characteristics and their association with glycemic responses among adults. Systematic searches were conducted across six databases (PubMed, EBSCO Host, ProQuest Central, MEDLINE & Ovid, Scopus and Web of Science) to identify all relevant studies published from January 2012. Two reviewers independently screened the abstracts and full-text articles based on the inclusion and exclusion criteria. Details about population characteristics, study methods and key findings were extracted following the PRISMA-ScR guideline. The quality of selected studies was evaluated using the mixed methods appraisal tool. The searchers identified 49 studies eligible for analysis. The results showed that meal timing, particularly night-time eating and snacking were associated with glycemic responses. Regarding meal regularity, skipping breakfast may affect glycemic responses, but no clear conclusion was drawn about its effect on insulin. The association between meal frequency and glycemic responses was inconclusive. Night fasting duration and restricted eating window are potentially associated with glycemic responses. The current review extensively investigates the association between chrononutrition factors and glycemic responses in adults. However, more prospective cohort and interventional studies are needed to better understand this causal-effect relationship.
DOI: 10.6084/m9.figshare.25965481.v1
title: Scoping review: Exploring the relationship between chrononutrition and glycemic responses in the adult population

description: Chrononutrition, an emerging body of evidence on the relationship between biological rhythms and metabolism, has been established to be associated with glycemic responses. However, the available evidence is inconsistent, due to protocol variations. Therefore, this review aims to summarize the findings on chrononutrition characteristics and their association with glycemic responses among adults. Systematic searches were conducted across six databases (PubMed, EBSCO Host, ProQuest Central, MEDLINE & Ovid, Scopus and Web of Science) to identify all relevant studies published from January 2012. Two reviewers independently screened the abstracts and full-text articles based on the inclusion and exclusion criteria. Details about population characteristics, study methods and key findings were extracted following the PRISMA-ScR guideline. The quality of selected studies was evaluated using the mixed methods appraisal tool. The searchers identified 49 studies eligible for analysis. The results showed that meal timing, particularly night-time eating and snacking were associated with glycemic responses. Regarding meal regularity, skipping breakfast may affect glycemic responses, but no clear conclusion was drawn about its effect on insulin. The association between meal frequency and glycemic responses was inconclusive. Night fasting duration and restricted eating window are potentially associated with glycemic responses. The current review extensively investigates the association between chrononutrition factors and glycemic responses in adults. However, more prospective cohort and interventional studies are needed to better understand this causal-effect relationship.
DOI: 10.57892/100-111
title: UNISA-CAU Thermo-Electrochemical Impedance Spectroscopy Dataset for NCR18650B Li-ion batteries

description: This includes a dataset for thermo-electrochemical impedance spectroscopy (T-EIS) of NCR18650B Li-ion batteries. It includes CCCV cycles and EIS experiments under multiple temperature and SoC conditions on four different Li-ion cells. The experiments were performed in the laboratories of Kiel University (CAU) within a cooperation with the University of Salerno (UNISA).
DOI: 10.5281/zenodo.14711387
title: Rental bike data with geospatial features in Hamburg, Germany.

description: The data contains booking numbers for rental bike stations in Hamburg, Germany, between 2014 and mid 2017. The geospatial features were computed in the study [1] using the metric from [2]. The raw data were retrieved on 30 April 2021 from https://data.deutschebahn.com.

 

[1] https://doi.org/10.1007/978-3-031-08017-3_2

[2] https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-97-2021
DOI: 10.5281/zenodo.14711388
title: Rental bike data with geospatial features in Hamburg, Germany.

description: The data contains booking numbers for rental bike stations in Hamburg, Germany, between 2014 and mid 2017. The geospatial features were computed in the study [1] using the metric from [2]. The raw data were retrieved on 30 April 2021 from https://data.deutschebahn.com.

 

[1] https://doi.org/10.1007/978-3-031-08017-3_2

[2] https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-97-2021
DOI: 10.23729/42e8fff1-0b3c-40ee-acac-d5c52b207f30
title: IODP sediments part 1

description: Part 1 of 20 whole-round sections from giant piston core sediment samples collected from the Japan Trench during the International Ocean Discovery Program (IODP) Expedition 386 Japan Trench Paleoseismology. For details on section lengths, core depths and so on, see the supplementary materials of the scientific article: Hovikoski, J., Virtasalo, J., Wetzel, A., Muthre, M., Strasser, M., Proust, J.-N. & Ikehara, K. 2025: Bioturbation in the hadal zone. Nature Communications, in press. Preview dataset found at https://doi.org/10.23729/0be50e5b-87c7-4ba2-b0cf-765c4fced269 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.5284/1125020
title: Data from a Route Wide Woodland Historic Landscape Characterisation at Widmore Farm, Oxfordshire, 2021 (HS2 Phase One)

description: This collection comprises of an interim report, site records and photographs from a route wide woodland historic landscape characterisation carried out by INFRA Archaeology at Widmore Farm, Oxfordshire during April 2021.
DOI: 10.23729/c26cef3a-18ac-4453-9b65-f10f2b5a7a9b
title: IODP sediments part 2

description: Part 2 of 20 whole-round sections from giant piston core sediment samples collected from the Japan Trench during the International Ocean Discovery Program (IODP) Expedition 386 Japan Trench Paleoseismology. For details on section lengths, core depths and so on, see the supplementary materials of the scientific article: Hovikoski, J., Virtasalo, J., Wetzel, A., Muthre, M., Strasser, M., Proust, J.-N. & Ikehara, K. 2025: Bioturbation in the hadal zone. Nature Communications, in press. Preview dataset found at https://doi.org/10.23729/0be50e5b-87c7-4ba2-b0cf-765c4fced269 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.5281/zenodo.14742564
title: Data set and codes for phasor FLIM event based analysis of MNP

description: The data set and scripts are Supplemental Material data for the manuscript 'Fluorescence Lifetime Imaging Microscopy (FLIM) visualizes internalization and biological impact of nanoplastics in live intestinal organoids ' by Irina A. Okkelman, Hang Zhou, Sergey M. Borisov, Angela C. Debruyne, Austin E. Y. T. Lefebvre, Marcelo Leomil Zoccoler, Linglong Chen, Bert Devriendt, Ruslan I. Dmitriev. The data set attached is a number of raw ptu files of life imaging FLIM of pig intestinal organoids from the control ('auto') group and loaded with individual D and B nanoparticle species and their 1:1 mixture and the corresponding csv files of GS phasor coordinates from individual organoids. The attached Python-based scripts (txt files) can be used for the postprocessing of the data set accordingly:

Supplementary code_ area_GS_export - napari macros for analysis of ptu microscopy imaging files; determines and exports a ROI square area (csv files) and ROI phasor plot GS coordinates (csv files) from phasor plots reconstructed in napari-flim-phasor-plotter with binning 3, harmonic 1, threshold 188, frequency pulse 80 MHz settings. The video illustrating macros application is loaded in https://github.com/HangZhouFLIM/FLIM_nano .

Supplementary code_GS_count - filtration of nonsense (value 0) GS coordinate events from the list of GS phasor coordinates (csv files) and counting of the total valid GS events

Supplementary code_tau_zones - can be applied only to the corresponding experimental csv data set, as it utilizes predetermined parameters of the average fingerprint GS coordinates from the exact data set. The code can be used to count the percentage of phasor events in lifetime zones: zone D( pure nanoparticles D), zone B (pure nanoparticles B) and zone D/B (co-detected D and B nanoparticles).
DOI: 10.5281/zenodo.14742565
title: Data set and codes for phasor FLIM event based analysis of MNP

description: The data set and scripts are Supplemental Material data for the manuscript 'Fluorescence Lifetime Imaging Microscopy (FLIM) visualizes internalization and biological impact of nanoplastics in live intestinal organoids ' by Irina A. Okkelman, Hang Zhou, Sergey M. Borisov, Angela C. Debruyne, Austin E. Y. T. Lefebvre, Marcelo Leomil Zoccoler, Linglong Chen, Bert Devriendt, Ruslan I. Dmitriev. The data set attached is a number of raw ptu files of life imaging FLIM of pig intestinal organoids from the control ('auto') group and loaded with individual D and B nanoparticle species and their 1:1 mixture and the corresponding csv files of GS phasor coordinates from individual organoids. The attached Python-based scripts (txt files) can be used for the postprocessing of the data set accordingly:

Supplementary code_ area_GS_export - napari macros for analysis of ptu microscopy imaging files; determines and exports a ROI square area (csv files) and ROI phasor plot GS coordinates (csv files) from phasor plots reconstructed in napari-flim-phasor-plotter with binning 3, harmonic 1, threshold 188, frequency pulse 80 MHz settings. The video illustrating macros application is loaded in https://github.com/HangZhouFLIM/FLIM_nano .

Supplementary code_GS_count - filtration of nonsense (value 0) GS coordinate events from the list of GS phasor coordinates (csv files) and counting of the total valid GS events

Supplementary code_tau_zones - can be applied only to the corresponding experimental csv data set, as it utilizes predetermined parameters of the average fingerprint GS coordinates from the exact data set. The code can be used to count the percentage of phasor events in lifetime zones: zone D( pure nanoparticles D), zone B (pure nanoparticles B) and zone D/B (co-detected D and B nanoparticles).
DOI: 10.6084/m9.figshare.28024991
title: <b>Without visual feedback voluntary torque is overestimated during muscle potentiation despite similar motor unit firing rate and perception of exertion</b> -Supplemental tables

description: Supplemental table 1 and 2
DOI: 10.15468/dl.74c9tk
title: Occurrence Download

description: A dataset containing 276922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Anopheles Meigen, 1818"
 ]
}

 The dataset includes 276922 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000063-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14748437
title: LFSFrance23
DOI: 10.5281/zenodo.14748438
title: LFSFrance23
DOI: 10.17632/bsspz99ctn.1
title: Finite Order Entropy Rate Estimation for Multibit Strong PUF Classes

description: Finite Order Entropy Rate Estimation for Multibit Strong PUF Classes based on Minimax estimators Center Dirichlet Mixture (CDM) estimator and other entropy estimators, including the MLE, JVHW, WY, and the approximate Profile Maximum Likelihood (PML). This work is used by Bendary, Ahmed, et al. "Estimating the Unpredictability of Multi-Bit Strong PUF Classes." Cryptology ePrint Archive (2024).

E. W. Archer, I. M. Park, and J. W. Pillow, “Bayesian Entropy Estimation for Binary Spike Train Data Using Parametric Prior Knowledge,” in Advances in Neural Information Processing Systems 26, C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2013, pp. 1700–1708.

J. Jiao, K. Venkat, Y. Han, and T. Weissman, “Minimax Estimation of Functionals of Discrete Distributions,” IEEE Transactions on Information Theory, vol. 61, no. 5, pp. 2835–2885, 2015.

Y. Wu and P. Yang, “Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation,” IEEE Transactions on Information Theory, vol. 62, no. 6, pp. 3702–3720, 2016.

D. S. Pavlichin, J. Jiao, and T. Weissman, “Approximate Profile Maximum Likelihood,” J. Mach. Learn. Res., vol. 20, pp. 122:1 122:55, 2019.
DOI: 10.17632/bsspz99ctn.2
title: Finite Order Entropy Rate Estimation for Multibit Strong PUF Classes

description: Finite Order Entropy Rate Estimation for Multibit Strong PUF Classes based on Minimax estimators Center Dirichlet Mixture (CDM) estimator and other entropy estimators, including the MLE, JVHW, WY, and the approximate Profile Maximum Likelihood (PML). This work is used by Bendary, Ahmed, et al. "Estimating the Unpredictability of Multi-Bit Strong PUF Classes." Cryptology ePrint Archive (2024).

E. W. Archer, I. M. Park, and J. W. Pillow, “Bayesian Entropy Estimation for Binary Spike Train Data Using Parametric Prior Knowledge,” in Advances in Neural Information Processing Systems 26, C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2013, pp. 1700–1708.

J. Jiao, K. Venkat, Y. Han, and T. Weissman, “Minimax Estimation of Functionals of Discrete Distributions,” IEEE Transactions on Information Theory, vol. 61, no. 5, pp. 2835–2885, 2015.

Y. Wu and P. Yang, “Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation,” IEEE Transactions on Information Theory, vol. 62, no. 6, pp. 3702–3720, 2016.

D. S. Pavlichin, J. Jiao, and T. Weissman, “Approximate Profile Maximum Likelihood,” J. Mach. Learn. Res., vol. 20, pp. 122:1 122:55, 2019.
DOI: 10.15468/dl.c6zgd7
title: Occurrence Download

description: A dataset containing 2674 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balaeniceps rex Gould, 1850"
 ]
}

 The dataset includes 2674 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000000-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.