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115 results for “scientific research”
Figure 3 from: Islam S, Papale D, Vaira L, Rosati I, Peterseil J, Pichot C (2024) Navigating taxonomic complexity: A use-case report on FAIR scientific name-matching service usage in ENVRI Research Infrastructures. Research Ideas and Outcomes 10: e121871. https://doi.org/10.3897/rio.10.e121871
Figure 3 LifeWatch web service data upload screen. Screenshot captured 10 Jan 2024.
Figure 1 from: Islam S, Papale D, Vaira L, Rosati I, Peterseil J, Pichot C (2024) Navigating taxonomic complexity: A use-case report on FAIR scientific name-matching service usage in ENVRI Research Infrastructures. Research Ideas and Outcomes 10: e121871. https://doi.org/10.3897/rio.10.e121871
Figure 1 COL Checklistbank cross dataset search. Screenshot captured 10 Jan 2024.
Figure 2 from: Islam S, Papale D, Vaira L, Rosati I, Peterseil J, Pichot C (2024) Navigating taxonomic complexity: A use-case report on FAIR scientific name-matching service usage in ENVRI Research Infrastructures. Research Ideas and Outcomes 10: e121871. https://doi.org/10.3897/rio.10.e121871
Figure 2 COL name match tool for bulk input. Screenshot captured 10 Jan 2024.
Figure 2 from: Heger T, Zarrieß S, Algergawy A, Jeschke JM, König-Ries B (2022) INAS: Interactive Argumentation Support for the Scientific Domain of Invasion Biology. Research Ideas and Outcomes 8: e80457. https://doi.org/10.3897/rio.8.e80457
Figure 2 The main architecture of INAS.
Figure 4 from: Hardisty AR, Addink W, Glöckler F, Güntsch A, Islam S, Weiland C (2021) A choice of persistent identifier schemes for the Distributed System of Scientific Collections (DiSSCo). Research Ideas and Outcomes 7: e67379. https://doi.org/10.3897/rio.7.e67379
Figure 4 A PID services model with the essential components in place.
Scientific Research Barriers by Gender and Other Characteristics in Physiatry
ClinicalTrials.gov study NCT05820022. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Assessing and mapping the potential development of forest ecosystems, link to research data and scientific software
<p>Research data and scientific software related to: Schröder W. Nickel S, Jenssen M, Riediger J 2015. Methodology to assess and map the potential development of forest ecosystems exposed to climate change and atmospheric nitrogen deposition: a pilot study in Germany. Science of the Total Environment 521-522:108-122</p>
Modelling and mapping heavy metal accumulation in moss and natural surface soil throughout Norway (1990-2010), link to research data and scientific software
<p>Research data and scientific software related to an investigation of statistical relations between the accumulation of heavy metals in moss and natural surface soil and potential influencing factors such as atmospheric deposition. Data were collected in 1995, 2000, 2005 and 2010 throughout Norway. Statistical correlations of a set of potential predictors (elevation, precipitation, density of different land uses, population density, physical properties of soil) with concentrations of cadmium, mercury and lead in moss and natural surface soil were evaluated. Spatio-temporal trends were estimated by use of multivariate regression-kriging and generalized linear models.</p>
Correlating heavy metal deposition and respective concentration in moss and natural surface soil for ecological land classes in Norway (1990-2010), link to research data and scientific software
<p>Research data and scientific software related to a study on statistical correlations between modelled atmospheric heavy metal deposition and respective accumulation in moss and natural surface soil for different natural landscapes in Norway. Data on cadmium, lead, and mercury were collected in 1995, 2000, 2005 and 2010 throughout Norway. The landscape information was derived from the Ecological Land Classification of Europe. Correlations between concentration and respective modelled deposition data were computed for each land class.</p>
Integrative evaluation of biomonitoring data and modelings indicating atmospheric deposition of heavy metals, link to research data and scientific software
<p>Research data and scientific software related to integrative statistical analyses based on deposition data calculated with the model LOTOS-EUROS (LE) and the EMEP/MSC-East model (Germany, Europe) and Biomonitoring data on As, Cd, Cr, Cu, Ni, Pb, Zn concentrations in moss, leaves and needles and soil derived from the European Moss Survey (EMS), the German Environmental Specimen Bank (ESB) and the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests). The modelled HM deposition and respective concentrations in moss (EMS), leaves and needles (ESB, ICP Forests) and soil (ICP Forests) were investigated for their statistical relationships. Regression kriging was applied to calculate maps of Cd and Pb deposition across Germany.</p>
Random Forest models and maps of heavy metal and nitrogen concentrations in moss in 2010 across Europe, link to research data and scientific software
<p>Research data and scientific software related to a study exploring the statistical relations between the concentration of nine heavy metals (As, Cd, Cr, Cu, Hg, Ni, Pb, V, Zn) and N in moss specimens collected in 2010 throughout Europe and a set potential explanatory variables (such as the atmospheric deposition calculated by use of two chemical transport models, distance from emission sources, density of different land uses, population density, elevation, precipitation, clay content of soils). Statistical analysis and modelling relies on Random Forest (RF). RF-models in conjunction with a Geographical Information System (GIS) were then used for mapping spatial patterns of element concentrations in moss across Europe.</p>
Main areas of research and scientific production regionalized by Policosanol biorefining route: from the 1990s to the 2024 (October 1, 2024).
<p>The Table 1 presents the results of surveys, in 18 Ibero-American countries and in the world, carried out in the Science Citation Index Expanded (SCI-E) or Web of Science - Core Collection - Clarivate Analytics – (WoS) and Scopus (Elsevier): AR - Argentina, BR - Brazil, CL - Chile, CO - Colombia, CR - Cota Rica, CU - Cuba, DO - Dominican Republic, EC - Ecuador, ES - Spain, GT - Guatemala, HN - Honduras, MX - Mexico, NI - Nicaragua, PA - Panama, PE - Peru, PT - Portugal, SV - El Salvador, UY - Uruguay. </p> <p>Merging the Scopus and Web of Science bases, the scientometric methodology of K-Synth (Bibliometrix) is applied here, according to which the scientific production of each country is measured by the number of appearances of authors by country affiliations. Thus, if in an article there are, for example, three authors working, respectively, in Brazil, Spain and the USA, the appearance counter will be increased by 1 for each of them. Due to the identification of some gaps, the electronically merged data were reconciled with the original databases.</p> <p>As for the Main Subject Areas, the classification adopted is that of Scopus Elsevier, as well as the compiled data, as it is the most quantitatively complete basis for this research. </p> <p>Data is updated until October 1, 2024.</p>
Modelling spatial patterns of correlations between concentrations of heavy metals in mosses and atmospheric deposition across Europe in 2010, link to research data and scientific software
<p>Research data and scientific software related to a study investigating the correlations between the concentrations of nine heavy metals in moss and atmospheric deposition within ecological land classes covering Europe. Additionally, it is examined to what extent the statistical relations are affected by the land use around the moss sampling sites.</p>
Figure 1 in Open Access and the Future of the Scientific Research
Figure 1. Growth in manuscript submissions to the BioMed Central open access journals.
Main areas of research and scientific production regionalized by Policosanol biorefining route: from the 1990s to the 2024 (June).
<p><span>The Table 1 presents the results of surveys, in 18 Ibero-American countries and in the world, carried out in the Science Citation Index Expanded (SCI-E) or Web of Science - Core Collection - Clarivate Analytics – (WoS) and Scopus (Elsevier): </span><span>AR - Argentina, BR - Brazil, CL - Chile, CO - Colombia, CR - Cota Rica, CU - Cuba, DO - Dominican Republic, EC - Ecuador, ES - Spain, GT - Guatemala, HN - Honduras, MX - Mexico, NI - Nicaragua, PA - Panama, PE - Peru, PT - Portugal, SV - El Salvador, UY - Uruguay. </span></p> <p> </p> <p><span>Merging the Scopus and Web of Science bases, the scientometric methodology of K-Synth (Bibliometrix) is applied here, according to which the scientific production of each country is measured by the number of appearances of authors by country affiliations. Thus, if in an article there are, for example, three authors working, respectively, in Brazil, Spain and the USA, the appearance counter will be increased by 1 for each of them. Due to the identification of some gaps, the electronically merged data were reconciled with the original databases.</span></p> <p><span> </span></p> <p><span>As for the Main Subject Areas, the classification adopted is that of Scopus Elsevier, as well as the compiled data, as it is the most quantitatively complete basis for this research. </span></p> <p><span> </span></p> <p><span>Data is updated until June 2024.</span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.