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  • This data set contains information regarding the research about the role of attractiveness, facial fluctuating asymmetry, and previous ailments on the expression of psychopathology in men and women
    Data Types:
    • Tabular Data
    • Dataset
  • Data is in the Excel file format. Data enables reproduction of the figures in the publication "Quantification of the effect of oxygen on mechanical properties of TIMETAL 834". Abstract: Atom probe tomography, electron probe microanalysis and nanoindentation was used to characterise the oxygen-rich layer on an in-service aerospace engine compressor disc, manufactured from the titanium alloy TIMETAL 834. Oxygen ingress was quantified and related to changes in mechanical properties through nanoindentation studies. Contributions of crystallography and microstructure to hardness changes are qualitatively discussed. The role of microstructure on oxygen ingress was studied and oxygen ingress along a potential α / β interface was directly observed on the nanoscale using atom probe tomography.
    Data Types:
    • Tabular Data
    • Dataset
  • Here are all the raw data about the study of "Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies". Including the proposed correlation atlas to clarify the relationship between medical imaging features and human malignancies, and the CT image dataset of 1000 lung cancer patients for discovering the pattern of distribution of values of the texture features and explaining the visual difference of different image feature values, and all of the source code of this study.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • File Set
  • Corneae from Body Donors in Anatomy Department: Valuable Use for Clinical Transplantation and Experimental Research
    Data Types:
    • Tabular Data
    • Dataset
  • The dataset provides information on fine root biomass (2-20mm ; 1m in depth) associated to edaphic factors (soil texture and fertility) in ecotone forests located on the eastern of Maracá Island, a fluvial island integrated to the Maracá Ecological Station, state of Roraima, northern Brazilian Amazonia. This area represents an ecotone zone of the southern region of the Guyana Shield, which is dominated by mosaics of ombrophilous and seasonal forests in contact with savanna areas. Our sampling took into consideration 30 permanent plots located in the PPBio (Biodiversity Research Program) 25-km2 research grid installed in the eastern of Maracá Island. The fieldwork was carried in July and October 2015 when we collected two soil cores (sub-samples) 1 m in depth for each plot. Each soil core was composed by 10 sections of 10 cm in length (000-010 cm; … ; 090-100 cm). All fine root (2-20 mm) found in each section was classified by diameter categories (2-5 mm; 5-10mm; 10-20mm), dried in electric stove (100±3oC) and weighted (0,0001g). Soil analysis were performed for each depth section taking into account a composite sample derived from both soil cores. We used the soil analysis methodology adopted by Embrapa (Embrapa. 2009. Manual de análises químicas de solos, plantas e fertilizantes. Embrapa Informação Tecnológica, 2. ed. rev. ampl. Brasília-DF. 627 p). Our dataset is presented in two files: (i) soil_analysis - sampling units codes (plotID) and their geographical reference (UTM, SAD69, Zone 20), associated with altitude (m a.s.l.), drainage (well/poor), section depth (cm), and soil analysis (mean of the edaphic variables for each section - texture, fertility, soil bulk density); (ii) fine_root – fine root biomass (g) for each soil section by root diameter category (2-5 mm; 5-10mm; 10-20mm), sampling date and sub-sample number. This dataset was supported by institutional project PPI/INPA 015/122 (Ecologia e manejo de savannas e florestas de Roraima). The Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil) provided a fellowship for R.I. Barbosa (CNPq 304204/2015-3). L.C.S. Carvalho was supported by a fellowship from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES/PNPD). Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio) provided authorization for the study. This dataset is also available on the DataONE website (https://search.dataone.org/view/PPBioAmOc.135.9), as well as the soil bulk density data (https://search.dataone.org/view/PPBioAmOc.114.5).
    Data Types:
    • Tabular Data
    • Dataset
  • The database contains results of the modeling study performed for the Raba River basin (Carpathian Mts., Poland) on the sediment yields. Using the calibrated and verified basin created in the DNS/SWAT Macromodel as a baseline scenario, subsequently the climate and land use scenarios were superimposed. The climate change scenarios were prepared using temperature and precipitation projections from the EuroCORDEX regional climate [https://euro-cordex.net/060378/index.php.en] and CMIP5 general circulation models [https://esgf-node.llnl.gov/projects/cmip5/][http://climateimpact.sggw.pl/map/proj/]. The land use change projections were based on the FORECOM project [http://www.gis.geo.uj.edu.pl/forecom/]. To track the sediment yields on the sub-basin level the Raba River basin was divided into 36 units. Impacts of single (hypothetical) and combined climate change and land use scenarios on sediment yield (t/ha and %) for each of these units (sub-basins) are displayed through the selection of database filters. The database consists of six Excel sheets: ‘scenarios’ - a list of scenarios prepared for the needs of the research together with their descriptions, whose impact on sediment yield in each sub-basin can be traced in the next sheets ‘results_plot’ - results of the individual scenarios impact on the sediment yield in the selected sub-basins and/or seasons the data is presented in the form of a pivot column chart. By using the "Select sub-basin or/and season" buttons user can filter any sub-basin and season values ‘changes_plot (t/ha)’ - sediment yield change for each scenario in comparison to baseline scenario in t/ha (functionality like previous sheet) ‘changes_plot (%)’ - sediment yield change for each scenario sediment yield change for each scenario in t/ha in comparison to baseline scenario in % (functionality like previous sheet) ‘sub-basins features’ - location of individual sub-basins, their numbers in the Raba River basin and main features: land use, slopes and soils classes share in the sub-basin area ‘data’ - output from the model for all scenarios (see sheet ‘scenarios’), average values of sediment yield for each season of data from 2005-2017 for 36 sub-basins in t/month
    Data Types:
    • Tabular Data
    • Dataset
  • The brand management reseach & publication dataset, which was indexed by Scopus from 1968 to 2019. 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.
    Data Types:
    • Tabular Data
    • Dataset
  • This dataset contains the data used for the figures, tables and regressions in our paper "Imputing Away the Ladder". They include both time-series (for all countries where available) for official GDP figures under different systems of national accounts (SNA 68, SNA 93 and SNA 2008), as well as time-series constructed in line with Basu and Foley's (2013) concept of Narrow-Measured Value-Added (NMVA) - that is, GDP excluding all sectors for which value-added had been imputed.
    Data Types:
    • Tabular Data
    • Dataset
    • File Set
  • Antigen-induced arthritis (AIA) was induced in C57BL6 mice by immunization with methylated bovine serum albumin (mBSA) and subsequent intra-articular injection of mBSA. Non-immunized (NI) mice were injected with phosphate buffered saline at all timepoints. Ten days after intra-articular injection knee joints were harvested and synovial cells were released by collagenase type IV injection into joint cavitied, and fluorescence-activated cell sorting (FACS) was used to sort 200-500 TER119–CD31–CD45–CD51+CD200+CD105– cells from NI mice (NI 200+, Sample 1-4) and mice with AIA (AIA 200+, Sample 5-9) and, TER119–CD31–CD45–CD51+CD200–CD105+ cells from mice with AIA (AIA 105+, Sample 11-14) using BD FASCAria IIu. For each sample, 200-500 live (DAPI–) cells were sorted directly into cell lysis buffer from Smartseq v4 Ultra® Low Input RNA Kit for Sequencing (TakaRa, Kyoto, Japan). ERCC RNA Spike-In Mix (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA) were added to lysed cell samples. cDNA amplicons were created using SmartSeq v4 Ultra® Low Input RNA Kit for Sequencing (TakaRa) and libraries were prepared using Nextera XT DNA Library Preparation Kit (Illumina, San Diego, CA, USA). Libraries were sequenced using NextSeq 500 (Illumina) instrument and raw files are available at GSE148130. After quality control of raw reads, reads were trimmed, aligned, assembled and quantified using cutadapt (Martin, EMBnet Journal, 2011), HISAT2 (Kim, Nat Methods, 2015) and StringTie (Pertea, Nat Biotecnol, 2015), and normalized and filtered in egdeR package (Robinson, Bioinformatics, 2010). Gene set enrichment analysis (GSEA) was conducted by ClusterProfiler package using gseGO function (Yu, OMICS, 2012) on GO gene sets from biological processes (BP) cell component (CC) and molecular function (MF) categories. Genes were preranked according to signed logarithm (log10) of Benjamini-Hochberg adjusted p value, with positive or negative sign given to genes with positive or negative fold change, respectively. Gene sets with Benjamini-Hochberg adjusted p value < 0.05 were considered significantly enriched and are listed in the tables, together with their enrichment score, normalized enrichment score (NES), p value, adjusted p value (Benjamini-Hochberg) and q value, rank at which the maximum enrichment score occurred, leading edge analysis and core enriched genes for each gene set. The table also includes gene set ID, ontology category (BP, CC or MF), description and size of gene sets. Table 1 contains analysis of comparison of NI 200+ and AIA 200+, Table 2 NI 200+ and AIA 105+ and Table 3 AIA 200+ and AIA 105+.
    Data Types:
    • Tabular Data
    • Dataset
  • The dataset was constructed to examine Vietnamese student’s learning habit during the school suspension time due to the novel coronavirus - SARS-CoV-2 (Covid-19), responds to the call of open research to prevent potential effects of coronavirus (Elsevier, 2020). The questionnaires were spread over a network of educational communities on Facebook from 7th to 28th of February 2020. Using the snowball sampling method, researchers delivered the survey to teachers and parents to confirm the consent form before they forward it to their students and children. In order to measure the influence of student’s socioeconomic status and occupational aspirations over their learning habit during school closure, the survey includes three major groups of questions: (1) Individual demographic, includes family socioeconomic status, school types, and occupational aspirations; (2) Student’s learning habits, include hours of learning before and during school suspension time, with and without other people’s support; and (3) Student’s perception on self-learning during the disease. There was a total of 920 clicks on the survey link, but only 460 responses with consent form were received. The incurable answers (e.g., year of birth is before 2009, more than 20 hours of learning per day, etc.) have been eliminated. Finally, the dataset includes 420 valid observations.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
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