cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/khcw52htt4.1
title: Antofalla depression geochronology

description: The dataset contains two detrital zircon U-Pb geochronology samples that are used to investigate the tectonic evolution of the Antofalla depression, southern Puna plateau, Argentina in the article: Tye, A., McMillan, M., Schoenbohm, L., Zhou, R. Late Cenozoic extensional formation of the Antofalla depression, southern Puna plateau, Argentina: an effect of lithospheric foundering? (In revision).
DOI: 10.17632/k96yvyjb68.1
title: Finding Compact, Isolated Clusters in Data Lakes

description: These are the research materials that accompany article "On Exploring Data Lakes by Finding Compact, Isolated Clusters", by Patricia Jiménez, Juan C. Roldán, and Rafael Corchuelo. This package includes the following: - "data-lakes": it contains a compressed archive whose organisation is driven by data lakes. Each subfolder corresponds to data lake, and each CSV file inside a data-lake corresponds to a dataset. The last column of the datasets is called "clazz", but it is set to "0" in all cases. The column is present because many software packages expect that column to be present, although it is completely ignored. - "results": it provides the results of testing RóMULO and other competitors on the previous data lakes. Each CSV file in this folder provides the experimental data gathered for all of the competitors on all of the datasets using a particular performance measure. - "system": it provides the python code required to run and test RóMULO. There is a "launch.cmd" script that launches the experimentation. The implementation of the competitors can be found elsewhere. The implementation of GSPPCA is available from the authors at https://github.com/pamattei/GSPPCA. The implementation of AffinityPropagation, Meanshift, and OPTICS-XI is available from SckitLearn at https://scikit-learn.org/stable/install.html. The implementation of PQC is available from the authors at https://github.com/racaes/PQC. The implementation of DCC is also available from the authors at https://github.com/shahsohil/DCC.
DOI: 10.25449/ruspsydata.15090240
title: Coping with Trauma. Data from Self-reports and Projective Technique

description: The data on young people trauma coping including self-reports (The Impact of Event Scale IES-R, Hobfoll's Strategic Approach to Coping Scale SACS, «The Type of Role Victimization» Questionnaire by Odintsova & Radchikova) and projective technique (The Draw-a-Person-in-the-Rain test) in English (“Coping with Trauma. Data from Self-reports and Projective Technique (Eng).xlsx”) and Russian (“Coping with Trauma. Data from Self-reports and Projective Technique (Rus).xlsx”) languages.
DOI: 10.25449/ruspsydata.15090240.v1
title: Coping with Trauma. Data from Self-reports and Projective Technique

description: The data on young people trauma coping including self-reports (The Impact of Event Scale IES-R, Hobfoll's Strategic Approach to Coping Scale SACS, «The Type of Role Victimization» Questionnaire by Odintsova & Radchikova) and projective technique (The Draw-a-Person-in-the-Rain test) in English (“Coping with Trauma. Data from Self-reports and Projective Technique (Eng).xlsx”) and Russian (“Coping with Trauma. Data from Self-reports and Projective Technique (Rus).xlsx”) languages.
DOI: 10.17632/mwr6cfyh8t.1
title: LINF_160017800

description: cyclophilin 13 | CyP13 Leishmania infantum (strain JPCM5)
DOI: 10.17632/xzb5hcymkw.2
title: STAR-PROTOCOLS-D-21-00345

description: The SnapGene file (.dna) and schematic illustration (.jpg) of the AAV-Retro-GFP plasmid map.
DOI: 10.17632/xzb5hcymkw.3
title: STAR-PROTOCOLS-D-21-00345

description: The SnapGene file (.dna) and schematic illustration (.jpg) of the AAV-Retro-GFP plasmid map.
DOI: 10.17632/jxnnzrzwzf.3
title: Nin et al-MS unprocessed data

description: These files are for Nin et al- GAGE Mediates Radio-Resistance In Cervical Cancers Via The Regulation Of Chromatin Accessibility-Cell Reports
DOI: 10.17632/332kvzz8xk.1
title: RNA-seq of a small molecule targeted recruitment of a ribonuclease to degrade the c9ALS/FTD r(G4C2) repeat expansion

description: We are publishing a study of a small molecule targeted recruitment of a ribonuclease to degrade the c9ALS/FTD r(G4C2) repeat expansion. We performed multiple RNA-seq experiments to evaluate the effect of the compound on transcriptome, including the 4 datasets: SET1. RNA-seq analysis of c9ALS patient-derived iPSCs treated with 50 nM of 7 plotted as average Log2(Fold Change) vs -Log10(q-value) (n = 1 C9orf72 iPSC line, 3 replicates per line). The amounts of mutant allele containing the repeat expansion were calculated using the coding SNPs as a proxy for abundance. SET2. RNA-seq analysis of iPSCs from healthy donors treated with 50 nM of 7 plotted as averege Log2(Fold Change) vs -Log10(q-value) (n = 1 C9orf72 iPSC line, 3 replicates per line). The amounts of mutant allele containing the repeat expansion were calculated using the coding SNPs as a proxy for abundance. SET3. RNA-seq analysis of +/+PWR500 mice treated with 33 nmol of 7 (n = 3 mice per treatment group). The amounts of mutant allele containing the repeat expansion were calculated using the coding SNPs as a proxy for abundance. SET4. RNA-seq analysis of c9ALS patient-derived iPSNs treated with 50 nM of 7 plotted as average Log10(TPM) (n = 1 C9orf72 iPSN line, 3 replicates per line). The amounts of mutant allele containing the repeat expansion were calculated using the coding SNPs as a proxy for abundance.
DOI: 10.17632/7fdvk6xbjd.1
title: Supplementary Material

description: These supplements incorporate all the supplementary materials for the manuscript of JAAD-D-21-01433, Phenotypes of atopic dermatitis and the risk for subsequent asthma: a systematic review and meta-analysis.
DOI: 10.17632/txsygt85gs.1
title: Dataset for Technological peculiarities of strengthening RC members with prestressed FRP laminates

description: Full description of the novel prestressing system for externally bonded FRP laminates and following technology
DOI: 10.17632/g7v69f77gj.1
title: Chicken eggs' consumption in Brazil

description: This database is from a research that focuses on the structure of consumer preferences for chicken eggs – a category increasingly influenced by sustainable considerations – to identify how strongly sustainable features shape individuals’ choices compared to other criteria. 550 Brazilian consumers answered a self-administered online survey containing a 12-items goal-orientated scale to identify consumers’ main goal frame, followed by a choice experiment with 12 repeated alternatives for egg choice. The choice design considered five egg attributes: Production System (Poultry farm/Cage-Free), Tray Material (Plastic/Cardboard/Styrofoam), Point of Purchase (Growers Market/Neighborhood Store/Supermarket), Label (No Label/Organic Label/Animal Well-being Label) and Price (three levels). Respondents had to think of a hypothetical purchase of a 10-egg units pack, considering diverse alternative features.
DOI: 10.17632/pykfkn5fzr.1
title: DREEM Hashemite University Jordan Dataset

description: Excel Spreadsheet of results of DREEM questionnaire for Hashemite University Jordan medical students (n=183) after participation in an innovatively (learner-centered) taught course and traditionally taught course within the medical curriculum. Scoring is 0 = strongly disagree, 1 = disagree, 2 = neutral, 3 = agree, 4 = strongly agree. Negatively scored items of the questionnaire have had score adjusted (labelled adj)
DOI: 10.17632/g2xc3mxcgy.3
title: Data for: Trade integration and research and development investment as a proxy for idiosyncratic risk in the cross-section of stock returns

description: We compile raw data from the Datastream database for all stocks traded on the Tokyo Stock Exchance, Osaka Exchange, Fukuoka Stock Exchange, Nagoya Stock Exchange and Sapporo Securities Exchange. Particularly, we collect the following data series, on a monthly basis: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), and (iv) primary SIC codes. Following Griffing et al. (2010), we exclude non-common equity securities from Datastream data. Additionally, we remove all companies with less than 12 observations in RI series for the period under analysis. Hence, our sample comprises 5,627 stocks, considering all companies that started trading or were delisted in the period under analysis. We use the three-month Treasury Bill rate for Japan, as provided by the OECD database, as a proxy for the risk-free rate. Accordingly, the dataset comprises the following series: 1. Japan_25_Portfolios_MV_PTBV_M: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database) 2. Japan_20_Portfolios_MOM_M: Monthly returns for 20 momentum portfolios rebalanced in June of each year. (Raw data source: Datastream database) 3. Japan_61_Portfolios_SECTOR_M: Monthly returns for 61 industry portfolios. (Raw data source: Datastream database) 4. Japan_RF_M: Three-month Treasury Bill rate for Japan. (Raw data source: OECD) 5. Japan_C_Q: Private final consumption expenditure, in national currency and constant prices, non-seasonally adjusted, for Japan. (Raw data source: OECD) 6. Japan_Trade_Y: Trade openness for Japan, as measured by the variation rate of exports plus imports. (Raw data source: OECD) 7. Japan_RD_Y: Variation rate of R&D investment for Japan. (Raw data source: OECD) 8. Japan_IK_Y: Investment-capital ratio for Japan., determined using the methodology suggested by Cochrane (1991) (Raw data source: OECD) 9. Japan_CCI_M: Consumer confidence index for Japan. (Raw data source: OECD) REFERENCES: Cochrane, J.H. (1991), Production-based asset pricing and the link between stock returns and economic fluctuations. The Journal of Finance, 46, 209-237. Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.
DOI: 10.25423/medsea_reanalysis_phy_006_009
title: Mediterranean Sea Reconstruction Reanalysis (MED RR)
title: MEDSEA_REANALYSIS_PHY_006_009

description: The Mediterranean Sea Reconstruction and Reanalysis data set (RR) spans the time period 1955-2015 has been developed by INGV within the framework of NEXTDATA project and distributed and yearly updated by the Copernicus Monitoring Environment Marine Service (CMEMS) phase I from the Med-MFC (Monitoring and Forecasting Center). The ocean general circulation model is based on the Nucleos for European Modelling of the Ocean (NEMO version 3.2-3.4) code, forced by AMIP data and relaxed to Hadley SST. The Med RR assimilated salinity and temperature profiles and along track Sea Level Anomaly data through a variational data assimilation schema (OceanVar). The model has a horizontal grid resolution of 1/16th of degree (ca. 6-7km) and 72 unevenly spaced vertical levels.
DOI: 10.17632/tjwvtsshhm.1
title: spss and word files

description: chin symphysis bone graft is the most popular intraoral donor site for alveolar cleft operation, but iliac crest bone graft still use commonly for defect treatment.in this study we combined allograft with chin symphysis bone to achieve enough graft volume while minimum morbidity(like nerve injury) have occurred. We compared iliac bone graft versus mentioned approach in success & morbidity. For the first time we utilized cone beam computed tomography (CBCT) for volumetric comparison analyze between these two modalities. this randomized clinical trial performed with 22 patients suffered from unilateral alveolar cleft over 12 month follow up.12 repairs included chin bone graft+allograft (group A) while 10 repairs contain iliac bone crest(group B)as donor site.12 month after surgical process we obtained CBCT to compare bone formation percent. at one year, post operative CBCT demonstrated that 76.9% of alveolar defect was filled in group A compare with 77% in group B. paresthesia in lower lip or chin didn’t occur in any patients of group A. the surgical process duration between two group was significantly shorter in group A as well as gaining normal gait.
DOI: 10.17632/834kstxzry.1
title: Hallegger_Chakrabarti_Lee_TDP-43 condensation properties_Mendeley

description: Mutations causing amyotrophic lateral sclerosis (ALS) often affect the condensation properties of RNA-binding proteins (RBPs). However, the role of RBP condensation in the specificity and functions of protein-RNA complexes remains unclear. We created a series of TDP-43 C-terminal domain (CTD) variants, which exhibited a gradient of low to high condensation propensity, as observed in vitro and by nuclear mobility and foci formation. Notably, capacity for condensation was required for efficient TDP-43 assembly on subsets of RNA-binding regions, which contain unusually long clusters of motifs of characteristic types and density. These ‘binding-region condensates’ are promoted by homomeric CTD-driven interactions and are required for efficient regulation of a subset of bound transcripts, including autoregulation of TDP-43 mRNA. Thus, we establish that RBP condensation can occur in a binding-region specific manner to selectively modulate transcriptome-wide RNA regulation, which has implications for remodeling RNA networks in the context of signaling, disease, and evolution.
DOI: 10.6084/m9.figshare.15090891
title: The development and validation of a three-dimensional COVID-19 vaccine hesitancy scale

description: Despite the availability of Covid-19 vaccines for the general population since the first months of 2021, vaccine hesitancy is widespread. In this context, a validated tool for properly assessing vaccine hesitancy is essential. The complexity, the dynamic and context-specific nature of the phenomenon guided the development of a multidimensional tool to assess Covid-19 vaccination hesitancy, as at the onset of the fourth wave of Covid-19 literature still lacks specific instruments for assessing the phenomena in its complexity. The aim of the study was to preliminary validate the Multidimensional Covid-19 Vaccine Hesitancy Scale, a new self-report measure for the assessment of beliefs and attitudes beneath vaccination hesitancy and barriers for vaccine uptake / reasons for vaccine refusal in the context of Covid-19. <br>
DOI: 10.6084/m9.figshare.15090891.v1
title: The development and validation of a three-dimensional COVID-19 vaccine hesitancy scale

description: Despite the availability of Covid-19 vaccines for the general population since the first months of 2021, vaccine hesitancy is widespread. In this context, a validated tool for properly assessing vaccine hesitancy is essential. The complexity, the dynamic and context-specific nature of the phenomenon guided the development of a multidimensional tool to assess Covid-19 vaccination hesitancy, as at the onset of the fourth wave of Covid-19 literature still lacks specific instruments for assessing the phenomena in its complexity. The aim of the study was to preliminary validate the Multidimensional Covid-19 Vaccine Hesitancy Scale, a new self-report measure for the assessment of beliefs and attitudes beneath vaccination hesitancy and barriers for vaccine uptake / reasons for vaccine refusal in the context of Covid-19. <br>
DOI: 10.17632/hzxtt5n522.1
title: LINF_160018900

description: cytochrome c Leishmania infantum (strain JPCM5)
DOI: 10.17632/3tbjptdtjj.1
title: LINF_160018500

description: protein of unknown function - conserved Leishmania infantum (strain JPCM5)
DOI: 10.17632/ncvfr2trwb.2
title: Covid-19 Go Away 2020 (C-19GA20)

description: The C-19GA20 dataset was gathered online in April 2020 from school and university students between 14 to 24 years of age. It provides insightful information about the students’ mental health, social lives, attitude towards Covid-19, impact of the Covid-19 Pandemic on students’ education, and their experience with online learning. The data includes 5 major groups of variables: 1) Socio-demographic data - age group, gender, current place of stay, study level in their institution 2) 4 items for information regarding connectivity to the internet during the lockdown - device availability for exclusive use, internet bandwidth, top 5 online tools used most commonly, and screen time. 3) 9 items measured the impact of Covid-19 on the students’ social lives - their current situation of living, number of people around them where they live, their feelings towards meeting their friends, visiting their institution of study, events that would have been held offline. Students were asked about their top 5 past time activities during the lockdown and the amount of time they spend on social media online. 4) 6 items to gauge their experience with online learning during the lockdown - questions about feeling connected to their peers, maintaining discipline, structured learning, and the stress/burden felt by them due to online learning in the lockdown 5) 11 items to comprehensively gather information about the students’ mental health - how well have they adapted to stay-at-home instructions, their overall mood in the lockdown, feelings towards Covid 19, their prime concerns regarding their academic schedule, being updated and informed about Covid 19, the impact of social media on their beliefs. Finally, the students were asked to write about how they feel the pandemic has changed them as a person and affected their thinking process, and the students were asked to share a one-line message for the world during the lockdown.
DOI: 10.17632/99hx2xg7gx.2
title: Covid-19 Go Away 2021 (C-19GA21)

description: A Google Form was floated via social media platforms to collect data from teachers from 28 March 2021 to 28 April 2021. These teachers had been teaching online for the past one year during Covid-19. Another Google Form was similarly floated via social media platforms to collect data from students from 4 April 2021 to 26 April 2021. These students had been attending online classes for the past one year during Covid-19. The surveys were responded to by 709 students and 420 teachers across various states of India from a variety of institutes and belonging to various age groups. After removing records of individuals who did not wish to participate, 51 attributes from each of the 572 students and 64 attributes from each of the 390 teachers were obtained and anonymized to obtain the novel dataset “Covid-19 Go Away 2021” abbreviated as “C-19GA21”. C-19GA21 responses depict changes in emotional, behavioral, social, and cognitive aspects, attitudes towards Covid-19, and mental health measurements of its participants. The data collected includes the following: Email Address, informed consent, attention check question, basic Information like age, gender, nationality, state/ union territory, nature of institute, age group of participant, subjects taught/learnt. Information related to connectivity or access to Internet, availability of a device for online teaching/learning. Facilities provided by the institution such as E-books, ergonomic furniture, data packs for internet, software resources, hardware resources (laptop, tablet, webcam, etc), technological or IT support, training/ FDP/ workshops/ webinars, MOOCs, etc. Queries related to teaching-learning activities such as average number of hours spent on screen per day, platforms used, method of communication, average attendance in online classes, how these numbers compare to the attendance in the previous semester, reasons for increase/decrease in attendance, percentage of students actively participating in online classes, reasons why students do not participate actively, major obstacles encountered, pedagogy adopted, areas in which students/ teachers would require more assistance, attitude towards online/ open book assessments, etc. Another set of queries focused on emotional and behavioral aspects like - feeling at the end of an average day after classes are finished, social interaction, day-to-day routine, predominant emotional responses during the pandemic period, issues related to online classes causing distress. Participants’ views vis-a-vis the role of social media during the Pandemic, the extent of trust in content on social media groups, what in classroom teaching cannot be substituted by online teaching, how the pandemic has changed them as a person, ways the pandemic has changed their thinking process and in the end their message to the World after a year of Pandemic!
DOI: 10.17632/wk7xnbrrvy.1
title: LINF_160018100

description: mitoribosomal protein mS48 Leishmania infantum (strain JPCM5)
DOI: 10.17632/kphtgxn3ff.1
title: A Real-Time Shelf-Life Estimation Model

description: A Shelf-Life Estimation Model built in MATLAB for fresh fruits and vegetables. The model can accept any temperature history, whether simulated or provided by a temperature sensor, and can account for passively-created modified atmospheres. It has been validated experimentally and found to be most accurate for unsealed non-climacteric products. Much effort has been put into making the model setup process as user-friendly as possible as a user manual has been provided.
DOI: 10.17632/xtxkgyyc4h.1
title: Covid Tweets

description: Dataset Tweets
DOI: 10.17632/7v27k4h4kr.2
title: Dataset for the manuscript "A coupled thermal-hydraulic-mechanical approach to modeling roadbed frost loading on water main failure"

description: This dataset includes input data for the thermal-hydraulic-mechanic model used in the manuscript entitled ''A coupled thermal-hydraulic-mechanical approach to modeling roadbed frost loading on water main failure'' by Huang, X., Rudolph, D., and Glass, B.
DOI: 10.34725/dvn/kpis4b/jyc1rq
title: CIS_indicators_anonymized.tab

description: Baseline indicators data file
DOI: 10.34725/dvn/kpis4b
title: Replication Data for: Evaluating the Impact of the Multidisciplinary Working Group Model on Farmers’ Use of Climate Information Services in Senegal

description: Climate variability and change have been identified as major threats to important sectors that drive economic growth and sustainable development in Africa. The provision of tailor-made climate information services is increasingly gaining importance. It has been widely touted as a vital adaptation and mitigation strategy against the adverse effects of climate change and variability. While various co-design and co-production models have been used to tailor climate information services (CIS) in different parts of the world, there is hardly any rigorous evidence assessing their effectiveness in meeting users’ needs.
DOI: 10.17632/rmyvkwbmyn.1
title: Raw images (Taglialatela et al, Molecular Cell, 2021)

description: Raw images of western blots and immunofluorescence experiments (Taglialatela et al, Molecular Cell, 2021)
DOI: 10.5281/zenodo.5153476
title: BSWO_cloud radar data

description: Cloud radar data observed at BSWO between 2014 and 2017. cfradial files are identical to the netCDF files.
DOI: 10.34725/dvn/jtf31n/picx7c
title: CIS_indicators_anonymized.tab

description: CIS baseline indicators data file