cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4544526
title: Data set for "Is the H4 histone tail intrinsically disordered or intrinsically multifunctional?"

description: Data set for "Is the H4 histone tail intrinsically disordered or intrinsically multifunctional?" Contains energy landscape databases and some analysis scripts README file in archive details usage. To use the computational energy landscape framework PATHSAMPLE developed and maintained by Prof David Wales, Cambridge is needed (http://www-wales.ch.cam.ac.uk/PATHSAMPLE/) To extract structures in mdcrd format, compile and use fortran script in archive.
DOI: 10.17632/9ck8478g65.1
title: Air Density - GHANA

description: This dataset contains various air density values of all 170 districts in Ghana. This dataset is provided in tiff format.
DOI: 10.17632/mvtd4fjjvj.1
title: Dataset. Identifying stagnation zones and reverse flow caused by river-aquifer interaction: An approach based on polynomial chaos expansions

description: This dataset is part of the Supplementary Material of the research: Identifying stagnation zones and reverse flow caused by river-aquifer interaction: An approach based on polynomial chaos expansions. The code infrastructure, the programming scripts, the simulation results, and the dataset files are stored in this online repository. Research Abstract: Fluctuating transient river stages and peak-flow events can significantly influence the interactions between rivers and aquifers and modify the hydraulic gradient, the flux exchange and the subsurface flow paths. As a result, stagnation zones and reverse flow may appear in different parts of an aquifer and at different times. These features of the flow field play a relevant role in the transport, transformation, and residence time of solutes, pollutants, and nutrients in the subsurface. However, their identification using numerical models is complex not only because of highly non-linear dynamics, but also due to significant uncertainties in the model input data which propagate into the quantities of interest. In this work, we use an approach based on polynomial chaos expansions to map the probability of occurrence of stagnation zones and reverse flow during a flood event. We quantify the propagation of uncertainty into the groundwater flow field due to the applied river boundary conditions. Then, we evaluate the responses of the posterior probabilities in an element-wise fashion using a set of flow classification criteria and kernel density estimations. The proposed methodology is flexible because it employs a non-intrusive pseudo-spectral technique and, consequently, it can be applied straightforwardly in pre-existing models. The regions near the confluence of two rivers in the studied area are prone to present transient stagnation and reverse flow.
DOI: 10.17632/yf2xkjvd4k.1
title: An Epidemic Model for Non-First-Order Transmission Kinetics

description: Computing codes for Mun and Geng (2021). An Epidemic Model for Non-First-Order Transmission Kinetics. PLOS ONE
DOI: 10.17632/5xthvrbspc.2
title: Data on G-quadruplex topology, and binding ability of G-quadruplex forming sequences found in the promoter region of biomarker proteins and those relations to the presence of nuclear localization signal in the proteins

description: Aptamer is a nucleic acid ligand which specifically binds to its target molecule. Previously, we have designed an identification method of aptamer called “G-quadruplex (G4) promoter-derived aptamer selection (G4PAS)” [1]. In G4PAS procedure, putative G4 forming sequences (PQS) were explored in a promoter region of a target protein in human gene through computational analysis, and evaluated binding ability towards the gene product encoded in the downstream of the promoter. We investigated the topology of the obtained PQSs by circular dichroism measurement, as well as their binding ability against its target protein by surface plasmon resonance measurement and gel-shift assay. Additionally, the presence of nuclear localization signal in the target protein was predicted in silico. This data set summarized all the PQS sequences, these biochemical characteristics, and the presence of nuclear localization signal to address the possibility of binding of these PQS region to the target proteins in vivo. hese data should contribute to increase the success rate of G4PAS, and potentially beneficial for the cell biology field as G4 is supposed to participate in vivo gene regulation. [1] W. Yoshida, T. Saito, T. Yokoyama, S. Ferri, K. Ikebukuro, Aptamer selection based on G4-forming promoter region. PLoS ONE, 8(6) (2013) e65497. http://doi.org/10.1371/journal.pone.0065497
DOI: 10.17632/jnx89bmv4s.1
title: BARseq2 in M1 and A1

description: BARseq2 in M1 and A1. Including processed projection data, in situ sequencing data, and analysis scripts. Also include helper files needed to run the scripts. Accompanying Sun et al., 2020 Nat Neurosci
DOI: 10.17632/tcbh2kzhb5.1
title: Paramount Health Data Project 2020

description: Data from standardized test of academic achievement and visits to the school nurse.
DOI: 10.20351/29sg20140310
title: SUBVENT-2 Cruise, RV Sarmiento de Gamboa

description: SUBVENT-2 Cruise (29SG20140310) carried out on the Research Vessel Sarmiento de Gamboa in 2014
DOI: 10.17638/datacat.liverpool.ac.uk/1237
title: Electronic Supplementary Material (Videos) for the paper G.Carta, D.J.Colquitt, A.B.Movchan, N.V.Movchan, I.S. Jones, 2020, Chiral flexural waves in structured plates: Directional localisation and control. JMPS, 137 (2020), 103866
DOI: 10.17632/b74xk7fzgy.1
title: Effect of dupilumab on allergic contact dermatitis and patch testing

description: Supplemental material for the paper: Effects of dupilumab on allergic contact dermatitis and patch testing (J Am Acad Dermatol. 2021)
DOI: 10.17632/5jp6c2wzmz.1
title: A Cold Stress Inducible PERK/OGT Axis Controls TOM70-Assisted Mitochondrial Protein Import and Cristae Formation (Latorre-Muro et al.)

description: Raw images from "A Cold Stress Inducible PERK/OGT Axis Controls TOM70-Assisted Mitochondrial Protein Import and Cristae Formation" (Latorre-Muro et al.)
DOI: 10.17632/snv3t78t9g.1
title: Cultural Heritage Images of Palmyra (CHIoP) Dataset

description: Cultural Heritage Images of Palmyra (CHIoP) dataset were gathered by scraping Flickr where images do not have any copyrights. Text search was used to collect CHIoP images, of cultural heritage sites in the Palmyra region in Syria, that have tags related to the search keywords. Later, the collected images were filtered manually to ensure that only images that positively related to each keyword search were included. The CHIoP dataset comprised a collection of 432 images distributed in 4 categories. Accordingly, each category represents a cultural heritage region of interest, then they were assigned names corresponding to each region as follows: Baalshamin (50 samples), Palmyra Theater (171 samples), Temple of Bel (113 samples), and Tetrapylon (98 samples). The CHIoP dataset could help researchers interested in the field of computer vision to test different approaches for image classification and object detection such as machine learning, deep learning, or transfer learning.
DOI: 10.20351/29sg20140804
title: MODUPLAN Cruise, RV Sarmiento de Gamboa

description: MODUPLAN Cruise (29SG20140804) carried out on the Research Vessel Sarmiento de Gamboa in 2014
DOI: 10.17632/wk5ns9kgr2.1
title: Data on Land Tenure and Food Security

description: This dataset presents data collected from the household survey in Northern Nigeria to examine land tenure and property rights among smallholder rice farmers and the influence it has on household food security. Data collection was by personal interviews of adult members of the farmers’ households, focusing on the households’ socio-economics, United States Department of Agriculture’- 18 Household Food Security questions for households, land titling status, and land tenure type on farmland cultivated during the 2016/17 farming season.
DOI: 10.5281/zenodo.4545056
title: Data from "Seascape genomics reveals candidate molecular targets of heat stress adaptation in three coral species"

description: Data and scripts from the publication "Seascape genomics reveals candidate molecular targets of heat stress adaptation in three coral species". Read the readme.pdf document for details.
DOI: 10.5281/zenodo.4545055
title: Data from "Seascape genomics reveals candidate molecular targets of heat stress adaptation in three coral species"

description: Data and scripts from the publication "Seascape genomics reveals candidate molecular targets of heat stress adaptation in three coral species". Read the readme.pdf document for details.
DOI: 10.17632/tst5583273.2
title: ENDBOSS source code and demonstration

description: Source code for ENDBOSS: Industrial endpoint detection using batch-specific control spaces of spectroscopic data, including a demonstration of the code on relevant and publicly available data from the INDPENSIM simulator. For our publication introducing ENDBOSS with this demonstration, please see: - Offermans, Tim, et al. "ENDBOSS: Industrial endpoint detection using batch-specific control spaces of spectroscopic data." Chemometrics and Intelligent Laboratory Systems 209 (2021): 104229. - https://www.sciencedirect.com/science/article/pii/S016974392030664X For the original INDPENSIM data used in this work, please see: - Goldrick, S., et al., Moden day monitoring and control challenges outlined on an industrial-scale benchmark fermentation processes. Computers and Chemical Engineering, 2019. 130 - https://data.mendeley.com/datasets/pdnjz7zz5x/1
DOI: 10.6084/m9.figshare.7121099
title: Higher ventricular rate during atrial fibrillation relates to increased cerebral hypoperfusion and hypertensive events

description: Raw data of simulations for the cerebral circulation in normal sinus rhythm (NSR) and atrial fibrillation (AF) conditions are available.
DOI: 10.6084/m9.figshare.7121099.v4
title: Higher ventricular rate during atrial fibrillation relates to increased cerebral hypoperfusion and hypertensive events

description: Raw data of simulations for the cerebral circulation in normal sinus rhythm (NSR) and atrial fibrillation (AF) conditions are available.
DOI: 10.17632/f2vkfd5s8t.1
title: Slow Tourism

description: Slow tourism experience data
DOI: 10.20351/29sg20140901
title: MOWER Cruise, RV Sarmiento de Gamboa

description: MOWER Cruise (29SG20140901) carried out on the Research Vessel Sarmiento de Gamboa in 2014
DOI: 10.17632/c6pdfrwxgj.4
title: Landscape and Selection of Vaccine Epitopes in SARS-CoV-2

description: Early in the pandemic, we designed a SARS-CoV-2 peptide vaccine containing epitope regions optimized for concurrent B cell, CD4+ T cell, and CD8+ T cell stimulation. The rationale for this design was to drive both humoral and cellular immunity with high specificity while avoiding undesired effects such as antibody-dependent enhancement (ADE). In this study, we combine computational prediction of T cell epitopes, recently published B cell epitope mapping studies, and epitope accessibility to select candidate peptide vaccines for SARS-CoV-2. We begin with an exploration of the space of possible T cell epitopes in SARS-CoV-2 with interrogation of predicted HLA-I and HLA-II ligands, overlap between predicted ligands, protein source, as well as concurrent human/murine coverage. Beyond MHC affinity, T cell vaccine candidates were further refined by predicted immunogenicity, viral source protein abundance, sequence conservation, coverage of high frequency HLA alleles and co-localization of CD4+ and CD8+ T cell epitopes. B cell epitope regions were chosen from linear epitope mapping studies of convalescent patient serum, followed by filtering to select regions with surface accessibility, high sequence conservation, spatial localization near functional domains of the spike glycoprotein, and avoidance of glycosylation sites. From 58 initial candidates, three B cell epitope regions were identified. By combining these B cell and T cell analyses, as well as a manufacturability heuristic, we propose a set of SARS-CoV-2 vaccine peptides for use in subsequent murine studies. The immunogenicity of the selected peptides was validated using ELISpot and ELISA following murine vaccination. We also curated a dataset of almost a thousand observed T-cell epitopes from convalescent COVID-19 patients across eight studies. Our vaccine selection process appears to be effective at predicting recurrent T-cell epitopes and strong T-cell responses were observed in mice following vaccination. Humoral responses were deficient, likely due to the unrestricted conformational space inhabited by linear vaccine peptides. Overall, we find our selection process and vaccine formulation to be appropriate for identifying T-cell epitopes and eliciting T-cell responses against those epitopes.
DOI: 10.17632/brz97gfxry.1
title: Deidentified Data and Code from Epilepsy, dissociative seizures and mixed: associations with time to video-EEG

description: Deidentified Data and Code from 39. Kerr WT, Zhang X, Hill CE, Janio EA, Chau AM, Braesch CT, Le JM, Hori JM, Patel AB, Allas CH, Karimi AH, Dubey I, Sreenivasan SS, Gallardo N, Bauirjan J, Hwang ES, David EC, D’Ambrosio SR, Al Banna M, Cho AY, Deward SR, Engel J, Jr., Feusner JD, Stern JM. Epilepsy, dissociative seizures and mixed: associations with time to video-EEG. Seizure 2021. Minor modifications may need to be made to reproduce the analysis.
DOI: 10.17632/4dgj4d6z56.1
title: Data & Code from Reliability of additional reported seizure manifestations to identify dissociative seizures

description: Deidentified data and code from Kerr WT, Zhang X, Janio EA, Karimi AH, Allas CH, Dubey I, Sreenivasan SS, Bauirjan J, D'Ambrosio SR, Al Banna M, Cho AY, Engel J, Jr., Cohen MS, Feusner JD, Stern JM. Reliability of additional reported seizure manifestations to identify dissociative seizures. Epilepsy & Behavior. 2020. Minor modifications in the code are likely needed to fully reproduce the work.
DOI: 10.17632/z73rn2n6vs.1
title: ThreatBiasedAttentionERPData
DOI: 10.5255/ukda-sn-854583
title: Edwardian Book Inscriptions, 1901-1914

description: Edwardian book inscriptions can be described as any mark of ownership on the front endpapers of a book published between 1901 and 1914. This dataset contains 3,155 images of Edwardian book inscriptions (1901-1914) collected from Bookbarn International, Oxfam Online Shop and Cardiff University Special Collections and Archives. It also contains 236 booksellers' labels. Images are coded with a number and the name of the book in which they were originally found. Types of inscription include: ownership inscriptions, author inscriptions, association copies, gift inscriptions, prize inscriptions, prize stickers, bookplates, miscellaneous. The dataset also contains an Access database with detailed metadata for each of the 3,155 collected inscriptions. The metadata includes: ID, book category, book title, author, year of publication, publishing house, binding type, additional features, bookseller label, type of book inscription, inscription description, additional information, owner name, source, validity.
DOI: 10.5255/ukda-sn-854663
title: The Induction with Foley OR Misoprostol (INFORM) Study, 2013-2015

description: This dataset includes comprehensive data on 602 women who underwent induction of labour for hypertensive disorders in pregnancy. Women were randomly assigned to cervical ripening with oral misoprostol or a transcervical Foley catheter in two hospitals in India. The main dataset has 367 variables including monitoring during the induction of labour, medications administered, timing and mode of delivery, measures of neonatal morbidity and mortality, maternal mortality and morbidity, maternal satisfaction, in addition to health economic data. The dataset is anonymised and available in CSV and Excel formats with a data dictionary.
DOI: 10.17632/v97368kvbf.1
title: State of the Canal before and after flooding

description: The datasets presented here were collected during a study on the assessment of community vulnerability to flooding in the city of Basse in the Upper-river region of The Gambia between 2013 and 2015. The canal (drainage system) constructed at the entrance of Kaba-Kama was built by the government as a measure to increase protection against the flood risk. However, that canal had quite different impacts than expected. Indeed, during heavy precipitation, the canal, having small depth and width, rapidly reaches its carrying capacity, leading to an overflow that affects residences located nearby. Moreover, the canal is often used illegally by inhabitants as a site to throw solid waste, which further complicates the normal flow of the runoff during rainy periods.
DOI: 10.17632/5mmxs3tvyg.1
title: Affected households & Workshops

description: The datasets presented here were collected during a study on the assessment of community vulnerability to flooding in the city of Basse in the Upper-river region of The Gambia between 2013 and 2015. Pictures and videos taken highlight the extent of property damage that have resulted from the impacts of a flood event that occurred in July 2015 in the settlements of Kaba-Kama and Basse-Layout. The majority of households affected were located in Kaba-Kama, where constructions are mainly made with mud compared to Basse-Layout where the majority of houses are built with concrete blocks. The destructions captured were mainly destroyed compound toilets, rooms, clothing, books, collapsed fences and roofs, muddy yards, damaged workshop machines, domestic pets/poultry carried away by the runoff, and injuries. The wells used in households’ daily needs were also greatly affected with potential health danger due to its impure state (change in color, etc.).
DOI: 10.20351/29he20140831
title: PUMP Cruise, RV Hespérides

description: PUMP Cruise (29HE20140831) carried out on the Research Vessel Hespérides in 2014
DOI: 10.17632/dc6gdcz7n9.1
title: U2VDow : Dow 30 Stocks tweets for proposing User2Vec approach

description: This data set has been collected for "User2Vec: stock market prediction using deep learning with a novel representation of social network users" paper. Stock market prediction is an interesting and challenging problem for investors and financial analysts. Recently, recurrent neural networks like LSTM have shown good performance in the field of stock market prediction. Most current methods use historical market data and in some cases, the dominant direction of users and news for each day. In some cases, the opinions of social network members about the stocks are extracted to improve the prediction accuracy. Usually, the opinions of different users are treated in the same way and are given the same weights in these works. However, it is clear that these opinions have different values based on the accuracy of the prediction of the related user. In this study, the idea is to convert the opinion of each user about each stock into a vector (User2Vec) and then use these vectors to train a Recurrent Neural Network (RNN) and ultimately model the behavior of the users in the market. The proposed user representation is composed of the features extracted from the messages posted in a social network and the market data. Here, we consider the power of the user in predicting the future of the stock based on the social network metrics, e.g. the number of the followers of the user, and the accuracy of its previous predictions. This way, the number of training data is increased and the model is effectively learned. These data are then used to train a stacked bidirectional LSTM network used for aggregating the input data and providing the final prediction. Empirical studies of the proposed model on 30 stocks of 30 Dow Jones clearly shows the superiority of the proposed model over traditional representations. For example, the prediction accuracy is about 93% for the Apple stock which is much higher than the compared models.
DOI: 10.17632/59z5mwd98r.1
title: Nanochemistry Research Dataset (1970-2020)

description: The Nanochemistry research & publication dataset, which was indexed by Scopus from 1970 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/c7s4n48kd2.1
title: White matter plasticity in healthy older adults: the effects of aerobic exercise

description: Here, we report the effects of a 6-month aerobic walking and dance interventions (clinical trial NCT01472744) on white matter integrity in healthy older adults (n=180, 60–79 years) measured by change in the ratio of calibrated T1- to T2-weighted images (T1w/T2w). This dataset contains: demographic variables, cognitive variables from the Virginia Cognitive Aging Battery and T1w/T2w data for each white matter region of interest. The cognitive variables include the raw scores pre and post intervention, z-scores pre and post intervention and cognitive composites. The T1w/T2w data includes T1w/T2w intensity values for each white matter region of interest, including the raw winsorized variables for pre and post intervention and the change in T1w/T2w scores. We calculated the 6-month change scores in the variables of interest as the post-intervention z-score minus pre-intervention z-score. We also include the R code to replicate the linear mixed effect models observed in our study: "White matter plasticity in healthy older adults: the effects of aerobic exercise". The data is from the FAST randomized controlled trial. ClinicalTrials.gov Identifier: NCT01472744.