cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17045/sthlmuni.7016369.v2
title: Open data: Frequency mismatch negativity and visual load

description: Wiens, S., van Berlekom, E., Szychowska, M., & Eklund, R. (2019). Visual Perceptual Load Does Not Affect the Frequency Mismatch Negativity. Frontiers in Psychology, 10(1970). doi:10.3389/fpsyg.2019.01970<br><br>We manipulated visual perceptual load (high and low load) while we recorded electroencephalography. Event-related potentials (ERPs) were computed from these data.<br><br>OSF_*.pdf contains the preregistration at open science framework (osf).<br>https://doi.org/10.17605/OSF.IO/EWG9X<br><br>ERP_2019_rawdata_bdf.zip contains the raw eeg data files that were recorded with a biosemi system (www.biosemi.com). The files can be opened in matlab with the fieldtrip toolbox. <br>https://www.mathworks.com/products/matlab.html<br>http://www.fieldtriptoolbox.org/<br><br>ERP_2019_visual_load_fieldtrip_scripts.zip contains all the matlab scripts that were used to process the ERP data with the toolbox fieldtrip. http://www.fieldtriptoolbox.org/<br><br>ERP_2019_fieldtrip_mat_*.zip contain the final, preprocessed individual data files. They can be opened with matlab.<br><br>ERP_2019_visual_load_python_scripts.zip contains the python scripts for the main task. They need python (https://www.python.org/) and psychopy (http://www.psychopy.org/)<br><br>ERP_2019_visual_load_wmc_R_scripts.zip contains the R scripts to process the working memory capacity (wmc) data. https://www.r-project.org/.<br><br>ERP_2019_visual_load_R_scripts.zip contains the R scripts to analyze the data and the output files with figures (eg scatterplots). https://www.r-project.org/.<br>
DOI: 10.17632/sm483xzhkf
title: ANE

description: Thirty-four pediatric ANE patients admitted to Zhejiang University School of Medicine Hospital between February 2019 and December 2023 were included in this study. To identify the factors associated with mortality, clinical, laboratory and imaging data were analyzed with independent-sample t tests, Mann‒Whitney U tests, Fisher's exact probability tests and receiver operating characteristic (ROC) curve analyses.
DOI: 10.3535/c00-2fq-v8h
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ljq-dz4-z9w
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5ck-del-w2z
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/dbn-zrq-13k
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/mk3ykkms44
title: A Route for De Novo Domestication of Wild Allotetraploid Rice, Yu et al.

description: Original data of paper
DOI: 10.3535/cjn-rjy-3zl
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ssl-28b-te7
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8sm-xa2-p7k
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/db1-r63-n52
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28578731.v1
title: <b>木本植物的侵占显著改变了草原土壤微生物群落</b><b>ent significantly alters grassland soil microbial community</b>

description: 木本植物侵占是一个全球性问题，木本侵占引起的草原生态功能变化已被广泛记录。然而，我们对木本植物侵占对土壤微生物群落影响的理解仍然有限。在这项研究中，我们对来自 61 项研究的 241 个配对观察结果进行了荟萃分析，以检查木本植物侵占对草原土壤微生物群落的影响，并确定驱动这些变化的因素。
DOI: 10.3535/yjz-58z-c24
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mrh-emy-48g
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rn6-7sx-prw
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.6uz3va
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Pezicula querciphila (S.C.Lynch, Eskalen & Zambino) P.R.Johnst."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009582-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9nr-cfe-ms2
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fdy-z4w-1dj
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kpr-qvc-9wl
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1424698.v1
title: Temperature and PM2.5 data from May 2014 at St. Albans, Christchurch - New Zealand

description: Data from Environmentl Canterbury's air quality monitoring site at St Albans for May 2014 as part of the ODIN validation project. http://dx.doi.org/10.6084/m9.figshare.1095832 <strong>Site Details</strong> Location (lat,lon): (-43.511236,172.633695)<br>Name: Coles Place (St. Albans)<br>Maintainer: Environment Canterbury (www.ecan.govt.nz) <strong>Headers</strong> date: Record time (NZST) PM2.5.FDMS: PM2.5 measured with a TEOM - FDMS instrument (ug/m3) Temperature..1m: Ambient temperature at 1m above the site building (C) <strong>Data QA</strong> No changes were made to the data provided by Environment Canterbury. These data was marked <em>perliminary</em> and therefore subject to change after the anual review of the reported data. The data was obtained through Environment Canterbury's data portal data.ecan.govt.nz and it is subject to its disclaimers.
DOI: 10.17632/djvfpvvdbj
title: Internationalization of Intrastate Armed Conflicts Dataset v.2.0-2020 (RFBR 18-314-00006\18)

description: This dataset is part of the research project on internationalization of intrastate armed conflicts funded by the Russian Foundation for Basic Research (RFBR) according to the research project № 18-314-00006\18. It proceeds from an alternative expanded conceptualization of the phenomenon of internationalized internal conflict which argues that accounting for involvement of external state-based actors into intrastate conflict is insufficient for understanding the complex interplay between various international, transnational and cross-border processes that form multiple reinforcing and counterbalancing links and feedback loops. To this end, we offer re-operationalization of the internationalization phenomenon based on an integrated three-dimensional framework which differentiates between three dimensions of internationalization (interpreted in a broader sense). The horizontal dimension (horizontal escalation) represents varied processes through which the spatial spread of organized violence (often originated on the sub-state level) affects the territory of other (usually neighboring) countries leading to consequences (usually destabilizing) for both the source state and the recipient state. The vertical dimension (vertical escalation) covers the processes by which either the structure of a conflict gets expanded to involve outside (foreign) actors, normally as secondary (supporting) parties, or (often as a result of the former) the nominal level of conflict gets upgraded from intrastate to interstate. Vertical escalation is enabled either through an attack by a source state on the territory or subjects of one or more of its neighbors (outward-directed vertical escalation), or alternatively through intervention by a state-based external actor into the original internal conflict (inward-directed vertical escalation). Finally, the systemic dimension (systemic escalation) denotes the expansion of international systemic limits of original conflict by increased political stake, interest and/or attention of various international actors vis-à-vis the conflict in question, through its “proxy-fication” or connectedness with other conflicts in the neighborhood. The proposed dimensions are conceptual constructs aimed at facilitating the analysis of conflict dynamics and are not intended to be interpreted literally. This current version of the dataset (2.0) covers the universe of armed conflicts in the regions of Europe (excl. FSU), Former Soviet Union (FSU), and Asia for the period from 1975 to 2018, and the Middle East and North Africa region for the period from 1989 to 2018.
DOI: 10.3535/2z4-mh3-xg6
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/4ryg2mvb2h
title: DNA Metabarcoding reveals spatial and temporal variation of fish eye fluke communities in lake ecosystems

description: This Data set includes the eye fluke diversity (Diplostomidae) revealed by dna metabarcoding in two fish species (Eurasian perch and common roach) collected at seven lakes in Estonia ( North-East of Europe). Our data revealed a high degree of heterogeneity with significant differences in parasite communities between host, lakes and sites within lakes., as well a temporal variation. Also, revealed novel associations between parasites species that could also affect the variability of diplostomids communities. .These results indicate that diplostomid communities in temperate lakes are complex and dynamic systems exhibiting both spatial and temporal heterogeneity. They are influenced by various environmental factors and by host-parasite and inter-parasite interactions.
DOI: 10.17632/8vrtxts669
title: Geomorphic feature classification for Lord Howe Island and Balls Pyramid shelves, southwest Pacific Ocean

description: This dataset is a geomorphic classification of the shelf features surrounding Lord Howe Island and Balls Pyramid. This dataset provides information on the size, extent and type of features which occur around the shelves, which can be used for a broad range of marine planning and research purposes. Shelves were classified into shelf region (inner, mid, outer) and geomorphic features. Features include an extensive submerged fossil reefs, ridges and patch reefs, sandy basins, paleochannels, modern fringing reef, shallow lagoon, shelf edge terraces and shelf break. Broad seafloor features were visually interpreted through digitisation in ArcGIS v10.1 using terminology consistent with international nomenclature and national standards. The classification of geomorphic features extends upon the interpretation of Balls Pyramid shelf undertaken by Linklater et al. (2015). Full description of methods is outlined in the following open-access publication, accessible by the following link: http://www.mdpi.com/2076-3263/8/1/11/htm
DOI: 10.3535/98y-1jk-227
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/me5-92h-agb
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cwg-6zf-khy
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ghz-6g9-scv
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1444294.v1
title: Development of cortical morphology evaluated with longitudinal MR brain images of preterm infants

description: Data corresponding to the paper in PLOS ONE: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0131552.
DOI: 10.3535/90g-g8x-yb1
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pan-8dr-leb
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/z5mhfckr29
title: TRACES pilot pharmacokinetic study

description: This dataset summarizes raw data used to build the pharmacokinetic model described in Gilliot et al. The dataset was designed to be ready to be analyzed by the software MONOLIX 2019R1 (Lixoft, Orsay, France). Patients were included if they were undergoing haemorrhagic cesarean section (blood loss &gt; 800 mL) and receiving a single i.v dose of TA (0.5, 1 or 2 g over 1 minute). Non-inclusion criteria used were presented in the TRACES pilot study protocol.[1] The first seven columns on the left of the dataset describe the pharmacokinetic data. The blood TDM samples were obtained from our patients at T0 (inclusion time, when bleeding ≥ 800 mL is diagnosed), T1 (at the end of injection), T15, T30, T60, T120, T180, and T360 (defined as 15, 30, 60, 120, 180 and 360 min after the injection). The urinary samples were collected within 6 hours after treatment. From the eight column, the variables describe the anthropometric, biological and clinical characteristics of the patients included in the study. Vs1 represents the volume of blood loss at the inclusion time in L. SCr1 represents the serum creatinine at inclusion time and SCr2 represents the serum creatinine 360 after the administration of tranexamic acid, in mg/L. Uremia is expressed in g/L.
DOI: 10.3535/lkx-wm3-js4
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t1c-n8q-3sc
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/23g-twc-xmx
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4vq-859-829
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qa4-3v0-lf6
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fq3-vdl-75v
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ra6-xr7-sx5
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v2a-p76-kak
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8xh-dh5-zyl
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fq6-vfm-64h
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cwq-ejm-we5
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/da8-qsh-a3m
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/aa4-97k-xs2
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kyx-cf8-3yd
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/67a-ycp-0hc
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r5w-s7l-kgx
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26036197.v3
title: Raw Data Investigation of the Trends and Associated Factors of Ovarian Cancer in Indonesia: A Systematic Analysis of the Global Burden of Disease Study 1990–2019

description: Ovarian cancer is one of the most lethal gynecological cancers. Despite diagnosis and treatment advances, survival rates have not increased over the past 30 years. This study estimated and reported the global burden of ovarian cancer during the past 30 years to inform preventative and control strategies. We examined ovarian cancer incidence, mortality, and disability-adjusted life years (DALYs) using age-standardized rates from the Global Burden of Disease, Injuries, and Risk Factors Study 2019. Elevated fasting plasma glucose, occupational asbestos exposure, and high body mass index were associated with death. Data are presented as averages with 95 % uncertainty intervals (UIs).Indonesia had 2961 (2077–5708) ovarian cancer cases in 2019, with 1841 (1371–3407) deaths and 65 692 (47 198–124 857) DALYs. The burden increased by 256.1 % (215.1–245.7 %) for new cases, 232.1 % (182.3 to 241.9 %) for fatalities, and 208.8 % (169.1 to 205.3 %) for DALYs. The age-standardized rate also increased from 1990 to 2019. Ovarian cancer burden increased with age but dropped in the 65+ year age group. According to the sociodemographic index, the gross domestic product per capita and the number of obstetricians and oncologic gynecologists in provinces showed different trends.<b> </b>Indonesian ovarian cancer rates are rising despite gynecologic oncologists in 25 of 34 provinces. These findings will help policymakers and healthcare providers identify ovarian cancer prevention and control gaps.
DOI: 10.25403/upresearchdata.17119469.v1
title: Top management characteristics and intellectual capital performance of companies listed on JSE, South Africa

description: This study focuses on the relationship between top management characteristics and intellectual capital performance of companies listed on JSE South Africa.<br>
DOI: 10.3535/td6-fft-xym
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/w9bwp3gtzh
title: GSL_personality_DeRango_data

description: This data represents raw scores from a ranking of responses to novel object (NO) and Human Approach tests in Galapagos sea lions during both 2017 and 2018 field seasons as pups and yearlings, in addition to some intrinsic (sex, age, scaled mass index-SMI) and maternal (age, axillary girth, length) traits.
DOI: 10.23645/epacomptox.17065024.v1
title: Multimedia Monitoring Database (MMDB)

description: Direct monitoring of chemical concentrations in different environmental and biological media is critical to understanding the mechanisms by which human and ecological receptors are exposed to exogenous chemicals. Monitoring data provides evidence of chemical occurrence in different media and can be used to inform exposure assessments. The monitoring data provide required information for parameterization and evaluation of predictive models based on chemical uses, fate and transport, and release or emission processes. Finally, these data are useful in supporting regulatory chemical assessment and decision-making. There are a wide variety of public monitoring data available from existing government programs, historical efforts, public data repositories, and peer-reviewed literature databases. However, these data are difficult to access and analyze in a coordinated manner. Here, data from 20 individual public monitoring data sources were extracted, curated to unique chemical identifiers (EPA’s DSSTox Substance Identifiers, DTXSID) and medium identifiers (e.g., blood, drinking water, indoor air, ambient air, etc.) and harmonized into a sustainable machine-readable data format for support of exposure assessments. The database is provided here as a compressed MySQL dump, containing SQL statements that would recreate MMDB in its entirety.Note that the full uncompressed size of this file is over 300 GB. Users should be aware of space requirements before uncompressing.<br>Curation updates (minor error fixes) for MMDB releases are available at https://doi.org/10.23645/epacomptox.16674298.v5.<br><br>This database accompanies the publication “A Harmonized Chemical Monitoring Database for Support of Exposure Assessments”, by Isaacs K.K., Wall J.T., Williams A.R., Hobbie K.A., Sobus J.R., Ulrich E., Lyons D., Dionisio K.L., Williams A.J., Grulke C., Foster C.A., McCoy J., and Bevington C.
DOI: 10.3535/3xc-rsj-8rb
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/543-4fa-0qm
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/d5v-m4r-678
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12236963.v1
title: Country Boundaries

description: This is a shapefile with country boundaries.
DOI: 10.17632/gjvx3rc6cr
title: PIAAC pooled county data

description: The dataset contains a PIAAC survey (rounds 1 and 2) pooled sample of 17 European countries, including Belgium, Czech Republic, Denmark, Estonia, Finland, France, Greece, Ireland, Italy, Lithuania, Netherlands, Norway, Poland, Slovakia, Slovenia, Spain, and Great Britain.
The source data-files are public used files from https://www.oecd.org/skills/piaac/data/

The data was cleaned and arranged according to the research  questions addressed in the paper "Gender disparities in wage returns to human capital components: How different are European labour markets?" (forthcoming in the Baltic Journal of Economics).

Specifically, the paper investigates the gender wage gap in relation to the multi-dimensional human capital measure, asking the question which human capital components are most valued in the European labour markets.
Relying on the Programme of International Assessment of Adult Competencies (PIAAC) data for seventeen European countries and applying Gelbach (2016) decomposition, we document remarkable cross-country disparities in the returns to different human capital components.  
The only dimension that consistently and significantly decreases gender wage disparities in all countries is work experience related to a currently occupied job. Women’ shorter job-specific experience often stem from family reasons indicating that women adjust their labour market behaviour and skills’ developments with current conditions more often than men do. Numeracy cognitive ability and job-specific cognitive and non-cognitive skills are additional strong predictors of the gender wage disparity.
DOI: 10.3535/1vk-3ne-qfv
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pkk-xpd-m0t
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.8187143.v3
title: The alignment and tree files of chloroplost genome

description: The alignment and tree files of supportting the  plastid genome phylogenetic analysis for the genus Camellia
DOI: 10.3535/3j2-y2x-he8
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kmj-5x6-wm0
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/wdn479ch25
title: Dataset for NCO mantle pyroxenites

description: Whole-rock and mineral chemical and isotopic compositions of the mantle pyroxenite from the New Caledonia ophiolite.