cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7488/ds/3101
title: Early Child Development Assessment Data
title: Early child development data
title: Analysis of early child development using the Griffiths Scales of Child Development

description: Using the Griffiths Scales of Child Development, we conducted a cross sectional assessment of Eye and Hand Coordination (EHC), Personal-Social-Emotional (PSE), Language and Communication (LC), Foundations of Learning (FL) and Gross Motor (GM) domains and the summary General Development (GD) in 166 children aged 6-72 months. We assessed the children before and after treatment of schistosome infection (6 and 12 months) post treatment. The Griffiths raw data scores and demographic data are presented here
DOI: 10.7488/ds/2042
title: Complementary information and scripts related to subset of 3 consecutive annual scans from 20 ADNI subjects

description: This dataset contains the information on the reference images from the ADNI database, used to generate the derived probabilistic maps and white matter hyperintensities binary masks from the subset of 20 subjects scanned three consecutive years. It also contains two Linux shell scripts that use FSL-FLIRT (https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FLIRT) to register all time-points to the first scan.
description: The two files with extension .sh are Linux shell scripts to register (i.e. align) the images obtained at the two last consecutive visits to the first scan. The two text comma-separated files (i.e. with extension .csv) and the excel spreadsheet (i.e. file with extension .xlsx) contain the filenames of the following structural magnetic resonance images from the three visits acquired from 20 ADNI subjects: T2-star, MPRAGE and FLAIR sequences.
DOI: 10.7488/ds/1712
title: ## SUPERSEDED - Postsynaptic proteome data from the human neocortex ##

description: ## This dataset has been replaced by the one which can be found at https://doi.org/10.7488/ds/2789 ## Brain tissue proteome data from four human subjects, resident in the UK.
DOI: 10.7488/ds/2886
title: Systematic review on the variability of the human brain arterial territories assessed using neuroimaging methods
title: Systematic Review on Brain Vascular Territories

description: Imaging methods for brain arterial territories have evolved significantly from cadaver injection techniques to combinations of CT angiography with multiple MRI perfusion techniques. The variability of the brain arterial territories is well acknowledged in the literature. It has been attributed to: (1) haemodynamic factors related to the peripheral resistance of each artery; (2) anomalies of the Circle of Willis; (3) the involvement of leptomeningeal collateral (LMCs) arteries; and (4) enlargement of arterial territories due to previous stroke; among other factors. We separately conducted two systematic literature reviews searching for papers that 1) acknowledge, illustrate or analyse the vascular supply of the brain territories and the variability of their boundaries; 2) identify and discuss the source of this variability; and 3) present or evaluate useful resources to estimate the boundary of the arterial territories from brain MRI data. Each systematic search had slightly different aim and inclusion/exclusion criteria. This dataset contains the result of the searches and the data extracted. From analysing the data extracted, the primary source of variability in the arterial territories was the involvement of LMCs. These provide emergency blood supply across the surface of the brain, between arterial territories, following occlusion. Secondary sources included variation of the Circle of Willis and enlargement of arterial territories due to previous stroke. After analysing non-contrast FLAIR MRI from 45 stroke patients for border zone and LMCs involvement, inter-observer reliability analysis found the prospect of assessing LMCs from conventional structural MRI sequences to estimate the variability of these territories to be very low (Kappa Statistic = 0.1262). This dataset also includes this inter-observer analysis.
description: Readme_file.pdf
DOI: 10.7488/ds/2895
title: Recruiting students for COVID-19 emergency response: Lessons from eight African countries

description: A questionnaire on recruiting students for COVID-19 emergency response was sent to 9 TIBA countries and 8 responded. The dataset comprises of an excel spreadsheet containing the responses and a word document summarizing the results.
DOI: 10.7488/ds/2976
title: ANOVA - primary school pupils' career aspirations and job automation probabilities

description: This dataset includes: (i) raw survey data - created by Chambers, Kashefpakdel, Rehill, and Percy (2018), shared with kind permission of the original project team; (ii) secondary data analysis - includes an analysis of variance (ANOVA) of British and international primary school pupils' career aspirations and job computerisation probabilities. Chambers, N., Kashefpakdel, E. T., Rehill, J., & Percy, C. (2018). Drawing the future. London, UK: Education and Employers.
description: The raw survey data used for this secondary data analysis was created by Chambers, Kashefpakdel, Rehill, and Percy (2018) and derives from the Drawing the Future survey. Chambers, N., Kashefpakdel, E. T., Rehill, J., & Percy, C. (2018). Drawing the future. London, UK: Education and Employers.
DOI: 10.7488/ds/3260
title: Dataset of journal paper "IoT for beyond-the-laboratory prosthetics research"

description: This dataset comprises the prosthetic control data and user feedback collected by our cloud server during the pick and place experiment and a sample code to visualize the data.
DOI: 10.7488/ds/3432
title: Estimating the Burden of Chronic Respiratory Diseases (CRD) in Bangladesh Using the 4 Country Chronic Respiratory Disease [4CCORD] Study Tools

description: Despite its leading contribution in mortality and related multi-morbidity, Chronic respiratory diseases (CRD), particularly asthma and chronic obstructive pulmonary disease (COPD) are largely underreported in resource-poor settings. The unavailability of diagnostic facilities and weak primary health infrastructure contributes to poor awareness and subsequent care-seeking behaviour of these diseases. This scarcity of representative data on understanding the burden of these disease is profound at the community level on policy development and resource allocation. The dataset contains the collected data, lung function assessment conducted on the enrolled participants on the full-fledge surveillance conducted in the community level for the estimation of chronic respiratory disease in Bangladesh using the methodologies and tools of the pilot 4-country chronic respiratory disease (4CCORD) Study. Findings from this surveillance will contribute in garnering the attention of policy makers in primary prevention and better management of these disease addressing the risk factors at the community level.
DOI: 10.7488/ds/3474
title: Simulating the chromatin mediated phase separation of model proteins with multiple domains

description: Simulation data related to the paper "Simulating the chromatin mediated phase separation of model proteins with multiple domains". We perform simulations of a system containing simple model proteins and a polymer representing chromatin. We study the interplay between protein-protein and protein-chromatin interactions, and the resulting condensates which arise due to liquid-liquid phase separation, or a via a 'bridging-induced attraction' mechanism. We uncover a regime where protein droplets only form due to interaction with the polymer; here, unlike a standard phase separating system, droplet density rather than size varies with the overall protein concentration. We also observe that protein dynamics within droplets slow down as chromatin is absorbed. If the protein-protein interactions have a strictly limited valence, fractal or gel-like condensates are instead observed. Overall, our results provide biologically relevant insights into the general nature of protein-chromatin condensates in living cells.
DOI: 10.7488/ds/1502
title: Stimuli set and EEG data for Kuperberg et al. (2011) study

description: An event-related brain potential (ERP) experiment on cue-based interference from different types of linguistic representations during ellipsis resolution. The dataset includes the experimental stimuli set and the raw EEG data collected from each participant as per Gina R. Kuperberg, Martin Paczynski, Tali Ditman; Establishing Causal Coherence across Sentences: An ERP Study. J Cogn Neurosci 2011; 23 (5): 1230–1246. doi: https://doi.org/10.1162/jocn.2010.21452 . The data were recorded using Biosemi ActiveTwo system (BioSemi BV, Amsterdam, The Netherlands). Files with extension .bdf are raw EEG data, which can be opened using the software BrainVision Analyzer or the free software Brainstorm.
DOI: 10.7488/ds/3182
title: REFLEX experiment
title: REFLEX: REgional FLux Estimation eXperiment

description: Reflex_final.pdf: description of the REFLEX experiment, DALEC models, data, instructions on how to participate DALEC_deciduous.F90: fortran code for the deciduous DALEC model DALEC.F90: fortran code for the evergreen DALEC model xxx_drivers.csv: driving data for particular experiments (DE1-3; EV 1-3) xxx.obs.csv: observations for particular experiment
DOI: 10.7488/ds/2128
title: SUPERSEDED - Proteomic analysis of postsynaptic proteins in regions of the human neocortex

description: ## This item has been replaced by the one which can be found at: https://doi.org/10.7488/ds/2789 ##
DOI: 10.7488/ds/3442
title: Bangladesh Hajj Project

description: This study aimed to understand the pre-Hajj medical check-up process in Bangladesh, and assess the feasibility of integrating an intervention within the existing system which will contribute to reduce the risk of asthma exacerbations among Hajj pilgrims in future.
DOI: 10.7488/ds/3433
title: A pedagogical research on use of an online learning platform by final year medical students on under five pneumonia

description: An online portal was developed for final year medical students from five medical universities in Rawalpindi and Islamabad cities of Pakistan on case management of under-five pneumonia. This was a 6 month intervention which had a pre and post intervention survey.
DOI: 10.7488/ds/3434
title: Malaria in the Murine Intestine

description: Image files provided in this dataset underlie the manuscript 'Intestinal inflammation and increased intestinal permeability in Plasmodium chabaudi AS infected mice.' Additional related files, which analyse the raw files found here, have been deposited into the 'Open Science Framework' (Project Identifier: DOI 10.17605/OSF.IO/CVXDY). These raw image files found here are 40x images of entire small intestinal tissues sections stained by IHC for GFP (to target the malaria parasite) or by H & E of intestinal tissue.
DOI: 10.7488/ds/2961
title: Multi-Country Heat-COVID-19 Nexus Survey

description: Multi-country, remote survey to evaluate the interplay between COVID-19 mitigation measures, heat-health, and livelihoods for populations living in densely populated urban areas. Survey data available for Pakistan, India, Indonesia, and Cameroon. Data collected remotely via mobile phone survey with ~4400 randomly identified respondents. Answers to open questions have been cleaned, coded, and grouped within a common thematic coding framework. Temperature and humidity data sourced from www.dataandtime.com to correspond to survey dates. Heat Index (HI) calculation added to determine the incorporated effects. English language translations of answers to open questions provided by Aalok Khandekar (India), Anindrya Nastiti and Wika Maulany Fatimah (Indonesia); Kirsten Campbell (Cameroon); and Adam Abdullah (Pakistan). Data available in CSV file format. Data generated as part of the ESRC/GCRF project "Cool Infrastructures: Life with heat in the Off Grid City (ES/T008091/1), with additional funding from the Scottish Funding Council.
DOI: 10.7488/ds/3443
title: A New Cation-Ordered Structure Type with Multiple Thermal Redistributions in Co2InSbO6

description: Magnetisation and XRD data for the paper with the dataset title, to be published in Angew. Chem.
DOI: 10.7488/ds/1501
title: Stimuli set and EEG data for VPE2 study

description: The second of two event-related brain potential (ERP) experiments on cue-based interference from different types of linguistic representations during ellipsis resolution. The dataset includes the experimental stimuli set and the raw EEG data collected from each participant. The data were recorded using Biosemi ActiveTwo system (BioSemi BV, Amsterdam, The Netherlands). Files with extension .bdf are raw EEG data, which can be opened using the software BrainVision Analyzer or the free software Brainstorm.
DOI: 10.7488/ds/2414
title: Do 2-year changes in superior frontal gyrus and global brain atrophy affect cognition? Study data
title: Analyses of 2-year changes in superior frontal gyrus and global brain atrophy with respect to cognition in a subset of participants that contributed data to ADNI

description: Metabolic alterations to the superior frontal gyrus (SFG) have been linked to cognitive decline and transition from Mild Cognitive Impairment to Alzheimer’s disease (AD). Whether these indicate structural atrophy, which could be screened for at a larger scale using non-invasive structural imaging is unknown. We assessed annual structural MRI scans and cognitive data from 3 consecutive years from 204 participants from the AD Neuroimaging Initiative database (mean age 72.24(8.175) years). We evaluated associations between brain structural changes and performance in the Montreal Cognitive Assessment, Everyday Cognition visuospatial subtest (Ecog Visuospatial) and Functional Assessment Questionnaire. This dataset contains the MATLAB scripts with the analyses, and the results of the data extraction and quantitative image processing (i.e. volumetric measurements).
description: This dataset is composed of one excel spreadsheet, three MATLAB scripts, and 3 pdf files. The excel spreadsheet ADNI_Subsample_SR_Cognitive_Revision.xlsx contains the data and each MATLAB script (i.e. files with extension ".m") reads from a specific worksheet inside the spreadsheet to perform the analyses. The pdf files present the study that conducted the analyses.
DOI: 10.7488/ds/3428
title: QAPLIB - A Quadratic Assignment Problem Library - Problem instances and solutions

description: The Quadratic Assignment Problem (QAP) has remained one of the great challenges in combinatorial optimization. It is still considered a computationally nontrivial task to solve modest size problems, say of size n=25. The QAPLIB was first published in 1991, in order to provide a unified testbed for QAP, accessible to the scientific community. It consisted of virtually all QAP instances that were accessible to the authors at that time.
description: * README PDF documentation * The solutions tarball contains 128 SLN files. * Data tarball contains 136 .dat files corresponding to 136 instances.
DOI: 10.7488/ds/3441
title: Cookie Synchronization HTTP Requests
title: Stateless Real Time Cookie Synchronization Detection

description: The dataset was created as part of a Masters Thesis aiming to automatically detect cookie synchronization. The dataset contains information about all the HTTP requests made when using Selenium to visit the top 2000 most popular websites were visited.
description: README - Has an overview of the research and a description of the dataset columns. dataset.csv - Data on observed cookie synchronization. Thesis_Struzinski_2022.pdf - The thesis associated with the dataset. Chapter 3 includes all the details of how the dataset was collected. http_traffic_raw.json - all the requests made by the browser, as a human readable JSON. The dictionary keys are the domains, and the associated values are the HTTP requests made while visiting those domains. raw_cookies.json - first and third party cookies set in the browser while collecting the HTTP data.
DOI: 10.7488/ds/3444
title: Simulated metagenomic dataset for Smith et al. 2022

description: This dataset is simulated metagenomic data created by Rebecca (Becky) Smith, PhD student at the Roslin Institute in Mick Watson's group. This data is described in detail in Smith et al. 2022, but briefly these reads were simulated using InSilicoSeq (https://doi.org/10.1093/bioinformatics/bty630) with the hiseq exponential model, and 150bp. The genomes used to create this data are from the Hungate Collection (paper at https://www.nature.com/articles/nbt.4110 and sequences at https://genome.jgi.doe.gov/portal/HungateCollection/HungateCollection.info.html ).
description: These files were generated with the tool InSilicoSeq which was installed to Eddie via conda.InSilicoSeq essentially recreates metagenomic data by fragmenting genomes and generating simulated sequencing reads. These files were created using microbial genomes isolated from the rumen microbiome.The files can be opened with any text editor e.g. TextEdit on Mac.
DOI: 10.7488/ds/1713
title: SUPERSEDED - A synapse proteome resource for mouse brain regions

description: ## This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/2399 . ##
DOI: 10.7488/ds/3436
title: Characteristics of small protoplanetary disc warps in kinematic observations

description: Dataset for the paper "Characteristics of small protoplanetary disc warps in kinematic observations" which was published in MNRAS . The dataset contains the hydrodynamical and radiative transfer output files from which the results of the paper were derived. Also included are the necessary files for reproducing the hydrodynamical simulations.
DOI: 10.7488/ds/2978
title: Agronomic trait and floral resource data

description: Mass-flowering crops, such as oilseed rape (OSR; Brassica napus), provide pulses of nectar and pollen helping to support pollinators and their pollination services, in agricultural landscapes. Despite their value to declining pollinators, varietal in-field OSR testing focusses on agronomic traits with floral resources being largely overlooked. OSR has a high varietal turnover, and consequently, floral resource data collected for a specific variety quickly becomes redundant. Here we explore the potential to predict floral resource availability using agronomic trait data routinely collected in varietal trials. To build predictive models, we investigated the relationships between agronomic traits and pollen and nectar availability in 19 OSR varieties. Nectar quality was positively influenced by early vigour and winter hardiness in conventional varieties, and stem stiffness in hybrid varieties. Pollen quantity was driven by different traits with early maturation having a negative impact in conventional varieties and resistance to lodging having a positive impact in hybrid varieties. Our study highlights that we can predict floral resources using agronomic trait data enabling the rapid assessment of these key resources in future OSR varieties, without costly sampling. Agronomic traits relating to increased nectar quality were also agro-nomically favourable, indicating benefits to both pollinators and growers. The inclusion of modelled floral resource data in recommended varietal lists will enable growers to make informed decisions about varietal selection based on local pollinator populations.
DOI: 10.7488/ds/3130
title: Proteomic analysis of Desulfovibrio alaskensis G20 response to Ni and Co

description: Proteomic data associated to the cellular response of Desulfovibrio alaskensis G20 to Co(II) and or Ni(II). Experimental design: 1)Three different metal combinations were applied: single metal treatments, only Co(II) or Ni(II), and bimetallic (Co(II) and Ni(II) at equal concentrations). 2) Two different metal concentration levels (10 mg and 100 mg/L) 3) Two different incubation time points (2 and 20 h) to investigate the dynamics of proteins production.
DOI: 10.7488/ds/1479
title: SUPERSEDED - Synaptic Proteome Across the 7 Integral Regions of the Mouse Brain
title: Mouse brain regions synaptic proteome atlas

description: # This item has been replaced by the one at https://doi.org/10.7488/ds/2399 . # The integral regions of the mouse brain are unique in their structure, cellular composition and biochemical function. Together, they control diverse behaviours in a highly co-ordinated and tightly regulated manner. Hundreds of developmental, neurological and psychiatric disorders are caused by mutations that disrupt the proteome of synapses throughout the brain.
DOI: 10.7488/ds/2981
title: "Detection of acquired radioresistance in breast cancer cell lines using Raman spectroscopy and machine learning" by Kevin Saruni Tipatet, Liam Davison-Gates, Thomas Johann-Tewes, Alistair Elfick, Björn Neu and Andrew Downes.

description: Data set from research article "Detection of acquired radioresistance in breast cancer cell lines using Raman spectroscopy and machine learning" by Kevin Saruni Tipatet, Liam Davison-Gates, Thomas Johann-Tewes, Alistair Elfick, Björn Neu and Andrew Downes.
description: Data plotted in Figs 1-3, and supplementary figures S1 and S2, is presented as tab delimited data in .txt files (except Fig 1 - .xlsx file). A full description is given in the document "Readme_Index and Descriptions". Figure captions describe the data plotted in each figure as follows: Fig. 1 The effects of radiation on proliferation assessed through SRB assays. Breast cancer cells were treated 24 hours after seeding, and cultured for 144 hours post-radiation. (A: MCF7 cells. B: ZR-75-1 cells. C: MDA-MB-231 cells). Data expressed as mean ± standard error of mean (SEM); n=3; 6 replicates per experiment. *P≤0.03, **P≤0.008, ***P≤0.005, ****P≤0.0001 (2-Way ANOVA followed by Holm-Sidak’s multiple comparison test performed, comparing each RR mean value to its parental mean value). Fig. 2 Differences between Raman spectra from radioresistant phenotypes and their parental breast cancer cells. The difference spectra (offset for clarity) is created by subtracting the average spectrum of the (WT) parental cells from the average spectrum of the radioresistant (RR) cells. Fig. 3 PCA-LDA scatter plot for Raman spectra of wild-type (WT) and radioresistant (RR) breast cancer cells. An accuracy of 100% is achieved in correctly classifying the samples as either wild-type or radioresistant as depicted by the dividing line. The plotted points depict both training set (2/3rd) and test set (1/3rd) data. S. Fig. 1 Average Raman spectra for wild-type (WT MCF-7, WT MDA-MB-231, and WT ZR-75-1) and radioresistant (RR MCF-7, RR MDA-MB-231, and RR ZR-75-1) cell lines. S. Fig. 2 Principal component analysis (PCA) scatter plot for Raman spectra of wild-type (WT) and radioresistant (RR) breast cancer cells. 99.49% of the samples are classified correctly as either wild-type (circles) or radioresistant (triangles) as shown by the dividing line. Raw spectral data is presented before processing, in the following files (named with date, cell type, power %, exposure time in seconds, gratin lines/mm, centre wavenumber): 09_12_2019_MCF-7_p100e200g1200c520 10-12-2019_MDA-231_p100e200g1200c520 11-12-2019_MDA-231RR_p100e200g1200c520 12-12-2019_ZR-75-1_p100e200g1200c520 16_11_2019_ZRRR_p100e200g1200c1200 17_11_2019_MCF7RR_p100e200g1200c1200
DOI: 10.7488/ds/3051
title: Does Model Calibration Reduce Uncertainty in Climate Projections?

description: Processed data from original model simulations and optimisation. These are for use in plotting results in "Does Model Calibration Reduce Uncertainty in Climate Projections?" submitted to Journal of Climate. Code used in plotting and some more data processing is available at https://github.com/SimonTett/Jclim21_calibrate
description: Please see Readme file.