cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19361105.v1
title: Supplementary Material for: Relationship between birth weight, early growth rate and body composition in 5 to 7-year-old children

description: Background: Programming of body composition during intrauterine growth may contribute to the higher risk for cardio-metabolic disease in individuals born small or large for gestational age (SGA, LGA). Compensations of intrauterine growth by catch-up or catch-down postnatal growth may lead to adverse consequences like a thin-fat phenotype. Methods: The impact of (i) birth weight as well as (ii) the interaction between birth weight and catch-up or catch-down growth during the first two years of life on fat free mass index (FFMI) and fat mass index (FMI) in 3204 5-7-year-old children was investigated using Hattori`s body composition chart. Body composition results were compared to appropriate for gestational age birth weight (AGA) with the same BMI. Results: 299 children at age 5-7 years were categorized as SGA, 2583 as AGA and 322 as LGA. When compared to AGA-children, BMI at 5-7-years of age was higher in LGA-children (15.5 kg/m² vs. 16.2 kg/m²; p&lt;0.001) but not different in SGA-children. Compared to AGA with the same BMI, LGA was associated with higher FMI and a lower FFMI in 5-7-year-old girls. This phenotype was also seen for both sexes with catch-down growth during the first 2 years of life whereas catch-up growth prevented the higher FMI and lower FFMI per BMI. By contrast, SGA was associated with a higher FFMI and lower FMI in 5-7-year-old boys compared to AGA boys with the same BMI. This phenotype was also seen with catch-down growth in both genders whereas catch-up growth in girls led to more gain in FMI per BMI. Conclusion: LGA with a compensatory catch-down postnatal growth maybe a risk factor for the development of disproportionate gain in fat over lean mass whereas SGA with a catch-down postnatal growth seems to favor the subsequent accretion of lean over fat mass. A higher propensity of lean mass accretion during postnatal growth in boys compared to girls explains sex-differences in these phenotypes.
DOI: 10.22008/fk2/akopbf/hfop1p
title: G250_Dronning_Louise_Land_Sydlige_Del_400dpi.tif
DOI: 10.22008/fk2/akopbf/badjgc
title: G250_Dronning_Louise_Land_Nordlige_Del_400dpi.pdf
DOI: 10.22008/fk2/akopbf/ratoy6
title: G250_Dronning_Louise_Land_Sydlige_Del_400dpi.pdf
DOI: 10.22008/fk2/akopbf
title: Geological map of North and North-East Greenland, 1:250 000, 75 Ø. 3 Dronning Louise Land, sydlige del

description: Geologisk kort over Grønland / Geological map of Greenland - 1:250 000, North-East Greenland, Dronning Louise Land
DOI: 10.22008/fk2/qgcrjp/p40vod
title: G20_Profile_South-West_Disko_400dpi.tif
DOI: 10.22008/fk2/qgcrjp/mna9wq
title: G20_Profile_South-West_Disko_400dpi.pdf
DOI: 10.22008/fk2/qgcrjp/sbo2lw
title: G20_Profile_Central_Disko_Nordfjord-Pingu_400dpi.pdf
DOI: 10.22008/fk2/tbyxtz/xwe0gk
title: G100_Flemming_Fjord_71Ø1_S_400dpi.tif
DOI: 10.22008/fk2/tbyxtz/wxcf0n
title: G100_Fleming_Fjord_71Ø1_S_400dpi.tif
DOI: 10.22008/fk2/tbyxtz/ym673a
title: G100_Fleming_Fjord_71Ø1_S_400dpi.pdf
DOI: 10.22008/fk2/tbyxtz
title: Geologisk kort over Grønland, 1:100 000, Fleming Fjord 71 Ø.1 Nord

description: Geologisk kort over Grønland / Geological map of Greenland - 1:100 000, northern East Greenland, Wegener Halvø
DOI: 10.22008/fk2/4aeys6/kctqd3
title: G100_Kilen_400dpi.tif
DOI: 10.22008/fk2/4aeys6/ldxxvf
title: G100_Kilen_81Ø1_S.pdf
DOI: 10.22008/fk2/4aeys6/jhbsdj
title: G100_Kilen_81Ø1_S.tiff
DOI: 10.22008/fk2/4aeys6
title: Geologisk kort over Grønland, 1:100 000, Kilen 81 Ø.1 Syd

description: Geologisk kort over Grønland / Geological map of Greenland - 1:100 000, Kilen, Kronprins Christian Land, eastern North Greenland
DOI: 10.5281/zenodo.6552827
title: Geographically Weighted Regression Modeling of a Nighttime Urban Heat Island in Dar es Salaam Metropolitan Areas

description: Urban Heat Islands (UHI) is the urban microclimate with higher air temperature than surrounding areas. It is caused by both man-made and natural factors which vary geographically based on weather periods. To have a sustainable future in the environment, there is a need to regulate influence levels of various causative factors that generate UHI. Geographically Weighted Regression (GWR) model is among the spatial regression models that define the non-stationarity of variables. It generates a new equation on each sampled data unlikely global models like Ordinary Least Square (OLS). The study used GWR model to determine the influencing levels of three independent factors named Indexed-based Built-up Index (IBI), albedo and wind speed. Datasets were retrieved from MODIS satellite during the dry period of July from 2000 to 2019. IBI and Albedo were observed to have a strong negative influence with the maximum value of -0.045 and -0.053 respectively although, we expected to observe a positive influence on IBI since buildings emit absorbed energy during the night. Wind speed has a positive influence with the maximum value of 0.028 leading to the shift of heatwaves hence being termed as the secondary driving factor while IBI and Albedo as the primary driving factors. Wind speed is the highest driving factor that shifts emitted energies to other areas. We encourage an innovation in technology that produce higher albedo construction materials. We should improve environmental policies by introducing green cities through horizontal and vertical forests which might decrease the emitted energy into the atmosphere.
DOI: 10.5281/zenodo.6552826
title: Geographically Weighted Regression Modeling of a Nighttime Urban Heat Island in Dar es Salaam Metropolitan Areas

description: Urban Heat Islands (UHI) is the urban microclimate with higher air temperature than surrounding areas. It is caused by both man-made and natural factors which vary geographically based on weather periods. To have a sustainable future in the environment, there is a need to regulate influence levels of various causative factors that generate UHI. Geographically Weighted Regression (GWR) model is among the spatial regression models that define the non-stationarity of variables. It generates a new equation on each sampled data unlikely global models like Ordinary Least Square (OLS). The study used GWR model to determine the influencing levels of three independent factors named Indexed-based Built-up Index (IBI), albedo and wind speed. Datasets were retrieved from MODIS satellite during the dry period of July from 2000 to 2019. IBI and Albedo were observed to have a strong negative influence with the maximum value of -0.045 and -0.053 respectively although, we expected to observe a positive influence on IBI since buildings emit absorbed energy during the night. Wind speed has a positive influence with the maximum value of 0.028 leading to the shift of heatwaves hence being termed as the secondary driving factor while IBI and Albedo as the primary driving factors. Wind speed is the highest driving factor that shifts emitted energies to other areas. We encourage an innovation in technology that produce higher albedo construction materials. We should improve environmental policies by introducing green cities through horizontal and vertical forests which might decrease the emitted energy into the atmosphere.
DOI: 10.6084/m9.figshare.19589608
title: Supplementary Material for: Supporting Weight Management during COVID-19 (SWiM-C): A randomised controlled trial of a web-based, ACT-based, guided self-help intervention

description: Introduction: Adults with overweight and obesity are vulnerable to weight gain and mental health deterioration during the COVID-19 pandemic. We developed a web-based, guided self-help intervention based on Acceptance and Commitment Therapy (ACT) that aims to support adults with overweight and obesity to prevent weight gain by helping them to manage their eating behaviours, be more physically active and protect their emotional wellbeing (“SWiM-C”). SWiM-C is a guided self-help programme using non-specialist guides to enhance scalability and population reach while minimising cost. This study evaluated the effect of SWiM-C on bodyweight, eating behaviour, physical activity and mental wellbeing in adults with overweight and obesity over 4 months during the COVID-19 pandemic in the UK. Methods: We randomised adults (BMI≥25kg/m2) to SWiM-C or to a wait-list standard advice group. Participants completed outcome assessments online at baseline and 4 months. The primary outcome was self-measured weight; secondary outcomes were eating behaviour, physical activity, experiential avoidance/psychological flexibility, depression, anxiety, stress, and wellbeing. We estimated differences between study groups in change in outcomes from baseline to 4 months using linear regression, adjusted for outcome at baseline and the randomisation stratifiers (BMI, sex). The trial was pre-registered (ISRCTN12107048). Results: 486 participants were assessed for eligibility; 388 participants were randomised (196 standard advice, 192 SWiM-C) and 324 were analysed. The adjusted difference in weight between SWiM-C and standard advice was -0.60kg (-1.67 to 0.47, p=0.27). SWiM-C led to improvements in uncontrolled eating (-3.61 [-5.94 to -1.28]), cognitive restraint (5.28 [2.81 to 7.75]), experiential avoidance (-3.39 [-5.55 to -1.23]), and wellbeing (0.13 [0.07 to 0.18]). Conclusions: SWiM-C improved several psychological determinants of successful weight management and had a protective effect on wellbeing during the pandemic. However, differences in weight and some other outcomes were compatible with no effect of the intervention, suggesting further refinement of the intervention is needed.
DOI: 10.6084/m9.figshare.19589608.v1
title: Supplementary Material for: Supporting Weight Management during COVID-19 (SWiM-C): A randomised controlled trial of a web-based, ACT-based, guided self-help intervention

description: Introduction: Adults with overweight and obesity are vulnerable to weight gain and mental health deterioration during the COVID-19 pandemic. We developed a web-based, guided self-help intervention based on Acceptance and Commitment Therapy (ACT) that aims to support adults with overweight and obesity to prevent weight gain by helping them to manage their eating behaviours, be more physically active and protect their emotional wellbeing (“SWiM-C”). SWiM-C is a guided self-help programme using non-specialist guides to enhance scalability and population reach while minimising cost. This study evaluated the effect of SWiM-C on bodyweight, eating behaviour, physical activity and mental wellbeing in adults with overweight and obesity over 4 months during the COVID-19 pandemic in the UK. Methods: We randomised adults (BMI≥25kg/m2) to SWiM-C or to a wait-list standard advice group. Participants completed outcome assessments online at baseline and 4 months. The primary outcome was self-measured weight; secondary outcomes were eating behaviour, physical activity, experiential avoidance/psychological flexibility, depression, anxiety, stress, and wellbeing. We estimated differences between study groups in change in outcomes from baseline to 4 months using linear regression, adjusted for outcome at baseline and the randomisation stratifiers (BMI, sex). The trial was pre-registered (ISRCTN12107048). Results: 486 participants were assessed for eligibility; 388 participants were randomised (196 standard advice, 192 SWiM-C) and 324 were analysed. The adjusted difference in weight between SWiM-C and standard advice was -0.60kg (-1.67 to 0.47, p=0.27). SWiM-C led to improvements in uncontrolled eating (-3.61 [-5.94 to -1.28]), cognitive restraint (5.28 [2.81 to 7.75]), experiential avoidance (-3.39 [-5.55 to -1.23]), and wellbeing (0.13 [0.07 to 0.18]). Conclusions: SWiM-C improved several psychological determinants of successful weight management and had a protective effect on wellbeing during the pandemic. However, differences in weight and some other outcomes were compatible with no effect of the intervention, suggesting further refinement of the intervention is needed.
DOI: 10.6084/m9.figshare.19513879
title: ESTAT Forest Connectivity RYB2022

description: The dataset provides the analysis scheme and data products resulting in the indicator Forest Connectivity for the Regional Yearbook 2022 report by ESTAT. The dataset contains all input and output data as well as the source code used for creating the data. The spatial forest coverage is derived from the Copernicus CORINE Land Cover 2018 dataset. Spatially explicit maps and statistical summaries are derived at European level and for each reporting unit at the GISCO levels of NUTS 0, 1, and 2.
DOI: 10.17043/livsey-2022-soil-1
title: Soil property data from An Giang Province, Vietnam, spring 2019
DOI: 10.22008/fk2/pwixbq/ws9ghp
title: G500_Sheet3_Søndre_Strømfjord_Nugssuaq_1st_400dpi.pdf
DOI: 10.22008/fk2/pwixbq/rnrz4q
title: G500_Sheet3_Søndre_Strømfjord_Nugssuaq_1st_400dpi.tif
DOI: 10.22008/fk2/pwixbq/sezl2h
title: G500_Sheet3_Søndre_Strømfjord_Nuussuaq_2nd_400dpi.pdf
DOI: 10.22008/fk2/pwixbq/m1wpw1
title: G500_Sheet3_Søndre_Strømfjord_Nugssuaq_1st_400dpi-1.pdf
DOI: 10.22008/fk2/pwixbq
title: Geological map of Greenland, 1:500 000, Sheet 3, Søndre Strømfjord - Nûgssuaq

description: Geologisk kort over Grønland / Geological map of Greenland - 1:500 000, central West Greenland,
DOI: 10.6084/m9.figshare.19771471.v1
title: Projection of asymmetric boundary shifts along latitude gradient for Chinese trees under climate change

description: Climate change is causing widespread boundary shifts of terrestrial plants. However, current works mainly focus on leading edges, but seldom takes a comparative study of trailing and leading edge shifts. Here, the shifts of Chinese trees were simulated along the leading and trailing edges under the maximum representative concentration path (RCP8.5). The results show that Chinese trees likely exhibit a variety of asymmetric boundary shift pattern. Synchronous northward (63.4%) dominant the trade off shift between leading and trailing edge and temperature factors have a significant positive correlation with the boundary shift distance. The other 36.6% species show a southward shifts for one or two edges and this pattern could be mainly the comprehensive interaction of heat, low temperature, available water and topographic factors. The study suggest that simple view of polarward shift for leading and trailing edges is not suitable for the explanation of tree migration in China.
DOI: 10.25345/c54x54m2n
title: MassIVE MSV000089478 - GNPS Acanthostrogylophora ingens analysis
title: Acanthostrongylophora ingens analysis, 2022, for testing analysis
DOI: 10.25502/e3md-xt23/d
title: Effects of genotype and growing environment on the chemical properties of yellow-fleshed cassava roots

description: The study evaluated the effect of genotype and growing locations on biofortified cassava root genotypes’ chemical properties. Twenty-eight genotypes of biofortified yellow and white-fleshed cassava were planted across four geographical areas in Nigeria and harvested for two seasons. This research analyzed the chemical properties (DM, VC, TC, and CNP) of the samples using standard laboratory procedures. ANOVA, descriptive analysis, PCA, and HCA was carried out on the generated data using SAS software. Genotypes 94/0006 and 01/1273 had the highest and lowest DM values (31.9 and 18.3 g/100 g). Of the bio-fortified genotypes tested, 76% had VC values lower than that averaged by check samples. Genotype 01/1331 had the highest CNP value (33.1 mg/100 g), and 01/1115 had the lowest (5.7 mg/100 g). TC values in genotypes 1368, 01/1371, 01/1412, and 01/1277 were above 7.0 5 μg/g. Genotype and growing environment had a highly significant effect (P≤0.01) on the studied chemical properties. Genotype by location interaction influenced VC weakly (P≤0.05). Values of DM, VC, and CNP were environment-dependent, but TC was genotype-dependent. PCA compressed data to PC1, PC2, and PC3, accounting cumulatively for 89.1%, and cluster analysis (CA) grouped the genotypes into three groups based on similarities in their chemical properties. These findings are applicable in identifying the best-biofortified cassava genotypes in breeding programs that in the future can be applied by farmers.
DOI: 10.6084/m9.figshare.19771471
title: nananana

description: adfadfa
DOI: 10.6084/m9.figshare.19771471.v3
title: nananana

description: adfadfa
DOI: 10.6084/m9.figshare.19771471.v2
title: Projection of asymmetric boundary shifts along latitude gradient for Chinese trees under climate change

description: Climate change is causing widespread boundary shifts of terrestrial plants. However, current works mainly focus on leading edges, but seldom takes a comparative study of trailing and leading edge shifts. Here, the shifts of Chinese trees were simulated along the leading and trailing edges under the maximum representative concentration path (RCP8.5). The results show that Chinese trees likely exhibit a variety of asymmetric boundary shift pattern. Synchronous northward (62.7%) dominant the trade off shift between leading and trailing edge and temperature factors have a significant positive correlation with the boundary shift distance. The other 37.3% species show a southward shift for one or two edges and this pattern could be mainly the comprehensive interaction of heat, low temperature, available water and topographic factors. The study suggest that simple view of polarward shift for leading and trailing edges is not suitable for the explanation of tree migration in China.
DOI: 10.5281/zenodo.5148301
title: Database 'Documents of Ancient Greek Music' (dDAGM) 1.1

description: This database has been created by Dr Tosca A.C. Lynch (https://oxford.academia.edu/ToscaLynch) and includes all the notes attested in the ancient Greek musical documents collected in the standard edition (<em>DAGM = </em>Pöhlmann, E. and West, M.L., 2001, <em>Documents of Ancient Greek Music</em>, Oxford: OUP). Dr Lynch will present historically informed interpretations of these data in a series of articles devoted, respectively, to <strong>the</strong> <strong>Classical/Hellenistic harmonic system and the relative documents</strong> (marked as <strong>BC</strong> in this database), and <strong>the Imperial harmonic system and the relative documents</strong> (marked as <strong>AD</strong> in this database). Dubious readings follow Pöhlmann and West; <em>DAGM</em> 17-18 are grouped with the Imperial documents, as discussed in the articles.<br> The Greek musical notation fonts used in <em>dDAGM</em> have been designed by Stefan Hagel (Austrian Academy of Sciences, Vienna).<br> <br> In its current form, Database Documents of Ancient Greek Music is not very user-friendly; an enhanced, accessible version of this database shall be developed by Tosca A.C. Lynch in the coming years.<br> Please contact Dr Lynch if you have further questions.
description: In its current form, Database Documents of Ancient Greek Music is not very user-friendly; an enhanced, accessible version of this database shall be developed by Tosca A.C. Lynch in the coming years. Visualisations of the data concerning Classical scores are included in two articles that are about to be published in Greek and Roman Musical studies: Lynch, T. A.C. (2022a) 'Unlocking the Riddles of Classical Greek Melodies I: Dorian Keys to the Harmonic Revolution of the New Music and the Hellenistic Musical Documents', Greek and Roman Musical Studies 10.2. Lynch, T. A.C. (2022b). 'Unlocking the Riddles of Classical Greek Melodies II: the Revolution of the New Music in the Ashmolean Papyri (DAGM 5–6) and Athenaeus' Paean (DAGM 20)', Greek and Roman Musical Studies 10.2. Imperial evidence will be discussed in two articles currently in preparation: Lynch, T. A.C. (forthcoming 1). 'Unlocking the Riddles of Imperial Greek Melodies I: the "Lydian" metamorphosis of the Classical harmonic system in the Imperial musical documents'. Lynch, T . A.C. (forthcoming). 'Unlocking the Riddles of Imperial Greek Melodies II: Ptolemy's harmogaí, the Louvre aulos and the Imperial Musical Documents'.
DOI: 10.6084/m9.figshare.18828092.v3
title: geospatial data

description: 2017 global Earth observation population data released by the Oak Ridge National Laboratory in the United State;vector data of the continental United States;shared bicycles in Beijing, China and taxis in New York<br>
DOI: 10.25345/c5154ds86
title: MassIVE MSV000089479 - GNPS Acanthostrogylophora ingens analysis
title: Acanthostrongylophora ingens analysis for testing, 2022
DOI: 10.15129/f6f51ebc-5074-45bf-8e11-2648ffa19ff7
title: Data and code for: 'Forecast combination with adaptation for improved ramp forecasts'

description: Chapter 4 in PhD thesis 'Predictive analytics for wind power forecasting'. Work combines very short-term and day-ahead forecasts along with ramp rate forecasts. 2 year embargo on outputs from this PhD. Embargo end date 24/06/24
DOI: 10.5281/zenodo.6552379
title: Haddock Data

description: Dataset containing all archaeological sites in Europe where haddock (Melanogrammus aeglefinus) has been found, and all the fish remains from these sites, based on published and unpublished species identifications.
DOI: 10.5281/zenodo.6552378
title: Haddock Data

description: Dataset containing all archaeological sites in Europe where haddock (Melanogrammus aeglefinus) has been found, and all the fish remains from these sites, based on published and unpublished species identifications.
DOI: 10.15129/a3ae966b-2eba-4956-b86a-cd172e2801ff
title: Data for: 'A review of very short-term wind and solar power forecasting'

description: Case study very short-term forecasting methods implemented on GEFcom2014 data. Vector Autoregressive, Markov Chain and Empirical Mode Decomposition models implemented and evaluated. Also forms chapter 2 of thesis 'Predictive analytics for wind power forecasting'. 2 year embargo on all outputs from this PhD. Embargo end date 24/06/24
DOI: 10.17632/ccyn67k23k.1
title: Snacks, nudges and asymmetric peer influence: Evidence from food choice experiments with children in Indonesia

description: Replication data and code: Prafiantini, E., & Agustina, R. (2021). Snacks, nudges and asymmetric peer influence: Evidence from food choice experiments with children in Indonesia. Journal of health economics, 79, 102508. https://doi.org/10.1016/j.jhealeco.2021.102508
DOI: 10.6084/m9.figshare.19771786
title: minkewhale_100gene_countdata.tsv

description: minkewhale_100gene_countdata
DOI: 10.6084/m9.figshare.19771786.v1
title: minkewhale_100gene_countdata.tsv

description: minkewhale_100gene_countdata
DOI: 10.5281/zenodo.6553092
title: Plume and wind data from ROMEO campaign on 17.10.2019.

description: Measurements from the oil well 1474 in Darmanesti, Parhova County, Romania. Dataset contains plume transect measurements taken by the team from TNO during the ROMEO measurement campaign. Included in the dataset are the measurements from a tracer (N2O), emitted next to the oil well. The wind data measured on-site with a 3D sonic is also added as 1 min averages of 25 Hz measurements of the three wind components.
DOI: 10.5281/zenodo.6553091
title: Plume and wind data from ROMEO campaign on 17.10.2019.

description: Measurements from the oil well 1474 in Darmanesti, Parhova County, Romania. Dataset contains plume transect measurements taken by the team from TNO during the ROMEO measurement campaign. Included in the dataset are the measurements from a tracer (N2O), emitted next to the oil well. The wind data measured on-site with a 3D sonic is also added as 1 min averages of 25 Hz measurements of the three wind components.