cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-856039
title: The Influence of COVID-19 Lockdown in the UK on the Consumption of Water and Sugar-sweetened Beverages, 2018-2022

description: Objectives A key challenge for behaviour change is by-passing the influence of habits. Habits are easily triggered by contextual cues; hence context changes have been suggested to facilitate behaviour change (i.e., habit discontinuity). We examined the impact of a COVID-19 lockdown in England on habitual consumption of sugar-sweetened beverages (SSBs). The lockdown created a naturalistic context change because it removed typical SSB consumption situations (e.g., going out). We hypothesised that SSB consumption would be reduced during lockdown compared to before and after lockdown, especially in typical SSB drinking situations. Design In two surveys among the same participants (N = 211, N = 160; consuming SSBs at least once/week) we assessed the frequency of SSBs and water consumption occasions before (Time 1), during (Time 2) and after lockdown (Time 3), across typical SSB and water drinking situations. We also assessed daily amount consumed in each period, and perceived habitualness of drinking SSBs and water. Results As predicted, participants reported fewer occasions of drinking SSBs during lockdown compared to before and after, especially in typical SSB drinking situations. However, the daily amount of SSBs consumed increased during lockdown, compared to before and after. Exploratory analyses suggest that during lockdown, participants increased their SSB consump¬¬tion at home, especially if they had stronger perceived habitualness of SSB consumption. Conclusion These findings suggest that SSB consumption is easily transferred to other situations when the consumption context changes, especially for individuals with strong consumption habits. Habitual consumption may be hard to disrupt if the behaviour is rewarding.
DOI: 10.5255/ukda-sn-856036
title: The Role of Consumption and Reward Simulations in the Motivation for Sugar-Sweetened Beverages, 2018-2022

description: How do people cognitively represent appetitive stimuli? Do interactions with appetitive stimuli shape how we think about them, and do such representations affect motivation to consume? Although much is known about how people respond to appetitive stimuli, little is known about how they are represented. We examine this in the domain of sugar-sweetened drinks, which constitute a significant self-control problem for many people. Given people’s rich and diverse learning histories of consuming them, we propose that representations of these stimuli will show high variability, and that they will reflect idiosyncratic simulations, or re-enactments, of previous consumption experiences. Representing drinks in terms of consuming and enjoying them may predict the motivation to consume. In three experiments (total N = 457), participants described non-alcoholic drinks in a “feature listing task”, a free production task to assess cognitive representations of concepts through natural language. We also measured consumption frequency, desire to drink, and intake (Exp. 3), and we measured (Exp. 1 and 2) or manipulated (Exp. 3) thirst. Illustrating the variability of participants’ representations of drinks, participants reported a large number of different features (210-331 unique features per drink). Drinks were described heavily with words related to consumption and reward experiences, especially sugary drinks, and especially when consumed frequently. Consumption and reward features predicted desire and intake, more strongly than thirst. These findings suggest that simulations of previous rewarding interactions play a key role in representations of appetitive stimuli, and that understanding these representations may be useful across domains of appetitive behaviour.
DOI: 10.6084/m9.figshare.21517941
title: 漢詩の自動生成の評価システム.txt

description: 漢詩の自動生成の評価システム
DOI: 10.6084/m9.figshare.21517941.v1
title: 漢詩の自動生成の評価システム.txt

description: 漢詩の自動生成の評価システム
DOI: 10.5281/zenodo.7300220
title: SIM-MPC Dataset

description: This dataset contains the MPC simulation data of the paper "Simulating Interaction Movements via Model Predictive Control". To get an idea of how this data can be used, you might want to take a look at the Python package mpc-mujoco.
DOI: 10.5281/zenodo.7303745
title: Displacement measurement via self mixing interferometry and neural network training set

description: Self mixing interferometry is a simple and robust sensing method which can be used (among other things) to measure the displacement of a target along the light propagation axis. While conceptually simple, the actual use of this method is less straightforward than originally envisioned because reconstructing the target displacement from the interferometric signal is often tricky. A small neural network can do this task very well after proper training, as described in [10.1364/OE.419844]. This data set was used to train the network in that work (after data augmentation). It consists of a python dictionary with two keys: `truth` and `signal`. The `truth` part is a 195011-elements long numpy array corresponding to the displacement of the target in units of wavelength per 1.024 ms. The `signal` part is the interferometric signal corresponding to the displacement. It is arranged in a (195011,256,1) numpy array. Each segment of length 256 corresponds to the interferometric signal acquired during a 1.024 ms time window. For instance, the displacement value in `truth[618]` corresponds to the interferometric signal segment `signal[618,:,0]`.
DOI: 10.5281/zenodo.7303744
title: Displacement measurement via self mixing interferometry and neural network training set

description: Self mixing interferometry is a simple and robust sensing method which can be used (among other things) to measure the displacement of a target along the light propagation axis. While conceptually simple, the actual use of this method is less straightforward than originally envisioned because reconstructing the target displacement from the interferometric signal is often tricky. A small neural network can do this task very well after proper training, as described in [10.1364/OE.419844]. This data set was used to train the network in that work (after data augmentation). It consists of a python dictionary with two keys: `truth` and `signal`. The `truth` part is a 195011-elements long numpy array corresponding to the displacement of the target in units of wavelength per 1.024 ms. The `signal` part is the interferometric signal corresponding to the displacement. It is arranged in a (195011,256,1) numpy array. Each segment of length 256 corresponds to the interferometric signal acquired during a 1.024 ms time window. For instance, the displacement value in `truth[618]` corresponds to the interferometric signal segment `signal[618,:,0]`.
DOI: 10.6084/m9.figshare.21346662
title: Data for Microscale Determination of Binary Gas Adsorption Isotherms in MOFs

description: Experimental and computational methane and ethane binary adsorption isotherm data for MOF-5, MOF-177, and SNU-70. Interatomic potential parameters for MOFs, methane, and ethane.
DOI: 10.6084/m9.figshare.21342453
title: Genome assembly of E. coli strain mixes

description: Long-read sequencing with MinION for the detection of STEC in culture swipes harboring different combinations of STEC and STEC-LST and other <em>E. coli</em> strains. <em>E. coli</em> strains in each assembly: Experiment 1 STEC O145:H28 (~10%) + STEC-LST O145:H28 (~90%). <br> Experiment 2 STEC O145:H28 (~10%) STEC-LST O145:H28 ~7%) EPEC O21 (~23%) EAEC O104:H4 (~29%) ExPEC O6:H31 (~29%) <br> Experiment 3 STEC O145:H28 (~1-2%) STEC-LST O145:H28 (~21%) EPEC O21 (~12%) EAEC O104:H4 (~37%) ExPEC O6:H31 (~27%)
DOI: 10.6084/m9.figshare.21342453.v2
title: Genome assembly of E. coli strain mixes

description: Long-read sequencing with MinION for the detection of STEC in culture swipes harboring different combinations of STEC and STEC-LST and other <em>E. coli</em> strains. <em>E. coli</em> strains in each assembly: Experiment 1 STEC O145:H28 (~10%) + STEC-LST O145:H28 (~90%). <br> Experiment 2 STEC O145:H28 (~10%) STEC-LST O145:H28 ~7%) EPEC O21 (~23%) EAEC O104:H4 (~29%) ExPEC O6:H31 (~29%) <br> Experiment 3 STEC O145:H28 (~1-2%) STEC-LST O145:H28 (~21%) EPEC O21 (~12%) EAEC O104:H4 (~37%) ExPEC O6:H31 (~27%)
DOI: 10.6084/m9.figshare.21342453.v1
title: Genome assembly of E. coli strain mixes

description: Long-read sequencing with MinION for the detection of STEC in culture swipes harboring different combinations of STEC and STEC-LST and other <em>E. coli</em> strains. <em>E. coli</em> strains in each assembly: Assembly 1: STEC O145:H28 (~10%) + STEC-LST O145:H28 (~90%). Assembly 2: STEC O145:H28 (~10%) STEC-LST O145:H28 ~8%) EPEC O21 (~23%) EAEC O104:H4 (~29%) ExPEC O6:H31 (~29%) Assembly 3: STEC O145:H28 (~2%) STEC-LST O145:H28 (~22%) EPEC O21 (~11%) EAEC O104:H4 (~35%) ExPEC O6:H31 (~27%)
DOI: 10.5255/ukda-sn-855300
title: Ladcultures: Social Networking Sites, 'Laddism' and Young Masculinities, 2020-2021

description: A key focus of this project was to consider how ‘lad’ and ‘laddish’ behaviours fit into wider processes of developing young masculine identities on social media spaces. Key questions this project wished to address were: what does it mean to be a ‘lad’ on social media? What sort of content is posted, shared and liked within these spaces? What role do these digitized spaces play in forming friendships and social connections, both on and offline? To what extent do ‘laddish’ practices on social media influence young people’s behaviour in online and offline spaces? This project aimed to make a positive societal impact by using its key research findings to develop training resources for community-based organisations in the UK who support young people in critically exploring, understanding and navigating masculinized practices in online spaces and beyond.
DOI: 10.25403/upresearchdata.21436377
title: Milk recording and fertility data for comparative performance analysis of dairy cattle on pasture herds

description: These are datasets given on excel spreadsheet. The data was used in Statistical Analysis Software (SAS 2011) analysis for a Masters dissertation titled 'Comparative performance of KiwiCross™, Holstein and Jersey dairy cattle on pasture herds in KwaZulu-Natal'. Data was extracted from the South African national milk recording database Integrated Registration and Genetic Information System (INTERGIS) and from farm records that were collected during the biological impact assesment trial for the introduction of the KiwiCross™ sire breed into South Africa. INTERGIS data consists of results from individual milk recording samples taken during the animal's first lactation in accordance with International Committee for Animal Recording (ICAR) rules to ensure representable lactation information. Farm data includes fertility data i.e. number of conceptions per pregnancy.
DOI: 10.25403/upresearchdata.21436377.v1
title: Milk recording and fertility data for comparative performance analysis of dairy cattle on pasture herds

description: These are datasets given on excel spreadsheet. The data was used in Statistical Analysis Software (SAS 2011) analysis for a Masters dissertation titled 'Comparative performance of KiwiCross™, Holstein and Jersey dairy cattle on pasture herds in KwaZulu-Natal'. Data was extracted from the South African national milk recording database Integrated Registration and Genetic Information System (INTERGIS) and from farm records that were collected during the biological impact assesment trial for the introduction of the KiwiCross™ sire breed into South Africa. INTERGIS data consists of results from individual milk recording samples taken during the animal's first lactation in accordance with International Committee for Animal Recording (ICAR) rules to ensure representable lactation information. Farm data includes fertility data i.e. number of conceptions per pregnancy.
DOI: 10.6084/m9.figshare.21512100
title: Curriculum_Infusion_Projecteff_ 11.7.22.sav

description: CI-PBL for business student wellness <br>
DOI: 10.6084/m9.figshare.21512100.v1
title: Curriculum_Infusion_Projecteff_ 11.7.22.sav

description: CI-PBL for business student wellness <br>
DOI: 10.6084/m9.figshare.21512100.v2
title: Curriculum_Infusion_Projecteff_ 11.7.22.sav

description: CI-PBL for business student wellness <br>
DOI: 10.6084/m9.figshare.21518091
title: Juniperus foetidissima chorology

description: Distribution map of <em>Juniperus foetidissima</em>. <br> <br> <br> These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br> <br> <br> Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br> <br> <br> Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901 <br> <br> <br> Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.21518085
title: The maternal history of tribal populations of Chhattisgarh India

description: mitochondrial DNA complete sequences of tribal population of Chattishgarh, India
DOI: 10.6084/m9.figshare.21518085.v1
title: The maternal history of tribal populations of Chhattisgarh India

description: mitochondrial DNA complete sequences of tribal population of Chattishgarh, India
DOI: 10.5281/zenodo.7261635
title: Multimodal tomographic reconstruction of picrite basaltic rock. Part 1: Dark-signal

description: Full size reconstruction of a picrite basaltic rock from dark-signal projections.
DOI: 10.5281/zenodo.7261634
title: Multimodal tomographic reconstruction of picrite basaltic rock. Part 1: Dark-signal

description: Full size reconstruction of a picrite basaltic rock from dark-signal projections.
DOI: 10.5281/zenodo.7262006
title: Multimodal tomographic reconstruction of picrite basaltic rock. Part 2: Transmission-signal

description: Full size reconstruction of a picrite basaltic rock from transmission-signal projections.
DOI: 10.5281/zenodo.7262005
title: Multimodal tomographic reconstruction of picrite basaltic rock. Part 2: Transmission-signal

description: Full size reconstruction of a picrite basaltic rock from transmission-signal projections.
DOI: 10.5281/zenodo.7262203
title: Multimodal tomographic reconstruction of picrite basaltic rock. Part 3: Phase-shift

description: Full size reconstruction of a picrite basaltic rock from phase-shift projections.
DOI: 10.5281/zenodo.7262202
title: Multimodal tomographic reconstruction of picrite basaltic rock. Part 3: Phase-shift

description: Full size reconstruction of a picrite basaltic rock from phase-shift projections.
DOI: 10.34740/kaggle/dsv/4471017
title: Mahanagar Yatayat Dataset
DOI: 10.5519/qd.mwtcab78
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (222 records)
DOI: 10.5255/ukda-sn-856056
title: University Environment Classification, 2018-2012

description: This dataset presents a cluster analysis of UK universities based on four synthetic environments: social, cultural, physical and economic. These were developed based on variables that represented an educational ecosystem of well-being. The cluster analysis was initially linked to the LSYPE-Secure dataset using the UKPRNs (i.e. higher education institutional number) and hence the cluster analysis used data from around 2009-2012 to represent Wave 6 and Wave 7 of the LSYPE-Secure dataset. The cluster analysis was based on using a variety of variables available from HESA and the Office for Students (OfS) to represent these environments, for example: Social: had demographics of students and staff including ethnicity and sex Cultural: had data on research and teaching scores Economic: had data on student: staff ratio and expenditure Physical: had data related to the built and natural environment including residential sites, blue and green spaces
DOI: 10.5517/ccdc.csd.cc2chmn5
title: CCDC 2189767: Experimental Crystal Structure Determination

description: Related Article: William Erb, Jean-Pierre Hurvois, Yury S. Halauko, Vadim E. Matulis, Thierry Roisnel|2022|Inorg.Chem.Front.|9|5862|doi:10.1039/D2QI01854C
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.cc2chmp6
title: CCDC 2189768: Experimental Crystal Structure Determination

description: Related Article: William Erb, Jean-Pierre Hurvois, Yury S. Halauko, Vadim E. Matulis, Thierry Roisnel|2022|Inorg.Chem.Front.|9|5862|doi:10.1039/D2QI01854C
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: 10.5281/zenodo.7082268
title: Runoff for Russia (RFR v1.0)

description: The Runoff For Russia (RFR v1.0) dataset consists of time series of runoff, meteorological forcing, and their multiple characteristics for 425 river basins across Russia from 1979 to 2099. This dataset allows for a wide range of large-scale hydrological studies, e.g. the assessment of climate change on spring flood characteristics. We hope that the presented extensive dataset will help the Russian government authorities, as well as all interested parties, find ways to adapt to expected changes induced by global warming.
DOI: 10.6084/m9.figshare.20277480.v1
title: Phylogenomic and Comparative Genomic Studies Robustly Demarcate Two Distinct Clades of Pseudomonas aeruginosa Strains: Proposal to Transfer the Strains from an Outlier Clade to a Novel Species Pseudomonas paraeruginosa sp. nov.

description: Supplemnetary data for 'Phylogenomic and Comparative Genomic Studies Robustly Demarcate Two Distinct Clades of <em>Pseudomonas aeruginosa </em>Strains: Proposal to Transfer the Strains from an Outlier Clade to a Novel Species <em>Pseudomonas paraeruginosa</em> sp. nov.', as described in <em>International Journal of Systematic and Evolutionary Microbiology.</em>
DOI: 10.5281/zenodo.7297093
title: Saskechewan Seismic data 1

description: Seismic data from Saskatchewan glacier. Includes the waveform data, the log files, and the instrument response file.
DOI: 10.5281/zenodo.7297092
title: Saskechewan Seismic data 1

description: Seismic data from Saskatchewan glacier. Includes the waveform data, the log files, and the instrument response file.
DOI: 10.5519/qd.cwhyg2d6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (29 records)
DOI: 10.5281/zenodo.6907192
title: Dataset Effect Forest Wuestebach Tereno Wavelet

description: Dataset of the effect of deforestation on DOC and Nitrate for Wuestebach stream (Tereno) - wavelet analysis
DOI: 10.25625/ab5plg/obraun
title: 2022-11-AB5PLG_Lanati_data.xlsx

description: :unav
DOI: 10.25625/ab5plg
title: Chemical analyses of the Eastern Australian Potassic Suite: Whole-rock major and trace element geochemistry including loss on ignition

description: These data represent the most complete set of analyses of the Eastern Australian Potassic suite. The data include whole-rock major-, and trace-element analyses including loss-on-ignition measurements for 47 samples from 21 spatially distinct leucite-bearing volcanic surface expressions. These expressions range from topographically prominent volcanic edifices and mounds, through to lava flows, with three sample locations (6 samples total) coming from active quarry sites. Location and elevation data as well as methods used are provided. Trace-element data are available for 44 samples, and include a total of 42 elements. All samples have major element analyses (10 elements).
DOI: 10.6084/m9.figshare.21502650
title: Ruiz et al. (2022) - Hg Data

description: THg concentrations (+RSD) measured in samples from Bouillante and a Control Site nearby (Guadeloupe, Lesser Antilles) from Ruiz et al. (2022).
DOI: 10.6084/m9.figshare.21502650.v1
title: STOTEN RUIZ Data.csv

description: THg concentrations (+RSD) measured in samples from Bouillante and a Control Site nearby (Guadeloupe, Lesser Antilles) from Ruiz et al. (2022).
DOI: 10.5255/ukda-sn-856038
title: Impacts of the Covid-19 Pandemic on Criminal Justice Journeys of Adult and Child Survivors of Sexual Abuse, Rape and Sexual Assault, 2020-2022

description: Over 150,000 sexual offences were recorded by police in year ending March 2020 (ONS, 2020), and there are indications that the Covid-19 lockdown increased some sexual offences (e.g. online -facilitated abuse, or sexual abuse perpetrated by family members) and decreased others (e.g. assaults by strangers/peers). However, there has been no research into the specific effects of Covid-19 on criminal justice system (CJS) policies and practices relating to sexual offences, nor on the journeys of survivors through the CJS during this period. Prior to the pandemic, there were significant challenges for the investigation and prosecution of sexual offences and conviction rates were extremely low. Some of these challenges may well have been exacerbated by Covid-19 and lockdown e.g. further delays to investigating cases, postponement of Achieving Best Evidence interviews. At the same time, however, Covid-19 has generated significant innovation within the CJS, e.g. the introduction of a video platform within the courts enabling all parties in a criminal hearing to engage securely and remotely, and this may sow the seeds for improvement in survivors’ journeys through the CJS. Drawing on the perspectives and experiences of CJS stakeholders, including complainants and families, police, Crown Prosecution Service, HM Courts and Tribunals Services, the Judiciary, Sexual Assault Referral Centres (SARCs), and Independent Sexual Violence Advisors, this project provide unique insights into the impact of the pandemic on the CJS in sexual offence cases. The data shared here is based on 72 interviews conducted with survivors/family members, and professionals from the police, SARCs and the third sector. The findings identify how the pandemic has exacerbated existing challenges, posed new difficulties, and provoked innovations that could improve the experiences of victims and survivors of sexual violence and abuse.
DOI: 10.5066/p9gjor1g
title: High-Precision Seismicity Catalog for the 2022 Hunga Tonga-Hunga Ha-apai Volcanic Eruption
DOI: 10.25502/4xv7-bc93/d
title: Regional trials of Striga resistant and drought  tolerant maize hybrids conducted for eight years

description: Breeding for stress resilient maize varieties and hybrids