scholarly journals How to publish your data with the EPOS Multi-scale Laboratories

2021 ◽  
Author(s):  
Geertje ter Maat ◽  
Otto Lange ◽  
Martyn Drury ◽  
Keyword(s):  
Earth Sciences ◽  
Solid Earth ◽  
Earth Science ◽  
Laboratory Data ◽  
Supplementary Information ◽  
Science Data ◽  
Scientific Publications ◽  
Data Repositories ◽  
Multi Scale ◽  
Metadata Standards

<p>EPOS (the European Plate Observing System) is a pan-European e-infrastructure framework with the goal of improving and facilitating the access, use, and re-use of Solid Earth science data. The EPOS Thematic Core Service Multi-scale Laboratories (TCS MSL) represent a community of European Solid Earth sciences laboratories including high-temperature and high-pressure experimental facilities, electron microscopy, micro-beam analysis, analogue tectonic and geodynamic modelling, paleomagnetism, and analytical laboratories. </p><p>Participants and collaborating laboratories from Belgium, Bulgaria, France, Germany, Italy, Norway, Portugal, Spain, Switzerland, The Netherlands, and the UK are already represented within the TCS MSL. Unaffiliated European Solid Earth sciences laboratories are welcome and encouraged to join the growing TCS MSL community.</p><p>Laboratory facilities are an integral part of Earth science research. The diversity of methods employed in such infrastructures reflects the multi-scale nature of the Earth system and is essential for the understanding of its evolution, for the assessment of geo-hazards, and the sustainable exploitation of geo-resources.</p><p>Although experimental data from these laboratories often provide the backbone for scientific publications, they are often only available as images, graphs or tables in the text or as supplementary information to research articles. As a result, much of the collected data remains unpublished, not searchable or even inaccessible, and often only preserved in the short term.</p><p>The TCS MSL is committed to making Earth science laboratory data Findable, Accessible, Interoperable, and Reusable (FAIR). For this purpose, the TCS MSL encourages the community to share their data via DOI-referenced, citable data publications. To facilitate this and ensure the provision of rich metadata, we offer user-friendly tools, plus the necessary data management expertise, to support all aspects of data publishing for the benefit of individual lab researchers via partner repositories. Data published via TCS MSL are described with the use of sustainable metadata standards enriched with controlled vocabularies used in geosciences. The resulting data publications are also exposed through a designated TCS MSL online portal that brings together DOI-referenced data publications from partner research data repositories (https://epos-msl.uu.nl/). As such, efforts have already been made to interconnect new data (metadata exchange) with previous databases such as MagIC (paleomagnetic data in Earthref.org), and in the future, we expect to enlarge and improve this practice with other repositories. </p>

scholarly journals EPOS Multi-scale laboratories Data Services & Trans-national access program

2020 ◽  
Author(s):  
Richard Wessels ◽  
Otto Lange ◽  
Keyword(s):  
Earth Sciences ◽  
Solid Earth ◽  
Earth Science ◽  
Laboratory Data ◽  
Remote Access ◽  
Supplementary Information ◽  
Scientific Publications ◽  
Data Repositories ◽  
Multi Scale ◽  
Laboratory Facilities

<p>EPOS (European Plate Observing System) is an ESFRI Landmark and European Research Infrastructure Consortium (ERIC). The EPOS Thematic Core Service Multi-scale laboratories (TCS MSL) represents a community of European solid Earth sciences laboratories including high temperature and pressure experimental facilities, electron microscopy, micro-beam analysis, analogue tectonic and geodynamic modelling, paleomagnetism, and analytical laboratories.</p><p>Participants and collaborating laboratories from Belgium, Bulgaria, France, Germany, Italy, Norway, Portugal, Spain, Switzerland, The Netherlands, and the UK are already organized in the TCS MSL. Unaffiliated European solid Earth sciences laboratories are welcome and encouraged to join the growing TCS MSL community. Members of the TCS MSL are also represented in the EPOS Sustainability Phase (SP).</p><p>Laboratory facilities are an integral part of Earth science research. The diversity of methods employed in such infrastructures reflects the multi-scale nature of the Earth system and is essential for the understanding of its evolution, for the assessment of geo-hazards, and for the sustainable exploitation of geo-resources.</p><p>Although experimental data from these laboratories often provide the backbone for scientific publications, they are often only available as supplementary information to research articles. As a result, much of the collected data remains unpublished, inaccessible, and often not preserved for the long term.  </p><p>The TCS MSL is committed to make Earth science laboratory data Findable, Accessible, Interoperable, and Reusable (FAIR). For this purpose the TCS MSL has developed an online portal that brings together DOI-referenced data publications from research data repositories related to the TCS MSL context (https://epos-msl.uu.nl/).</p><p>In addition, the TCS MSL has developed a Trans-national access (TNA) program that allows researchers and research teams to apply for physical or remote access to the participating EPOS MSL laboratories. Three pilot calls were launched in 2017, 2018, and 2019, with a fourth call scheduled for 2020. The pilot calls were used to develop and refine the EPOS wide TNA principles and to initialize an EPOS brokering service, where information on each facility offering access will be available for the user and where calls for proposals are advertised. Access to the participating laboratories is currently supported by national funding or in-kind contribution. Based on the EPOS Data policy & TNA General Principles, access to the laboratories is regulated by common rules and a transparent policy, including procedures and mechanisms for application, negotiation, proposal evaluation, user feedback, use of laboratory facilities and data curation.</p><p>Access to EPOS Multi-scale laboratories is a unique opportunity to create new synergy, collaboration and innovation, in a framework of trans-national access rules.</p><p>An example of such a successful collaboration is between MagIC and EPOS TCS MSL. This collaboration will allow paleomagnetic data and metadata to be exchanged between EPOS and the MagIC (https://www.earthref.org/MagIC) database. Such collaborations are beneficial to all parties involved and support the harmonization and integration of data at a global scale.</p>

scholarly journals INTELLECTUAL ANALYTICAL GEOINFORMATION SYSTEM “EARTH SCIENCE DATA FOR THE TERRITORY OF RUSSIA”

2015 ◽  
Vol 1 ◽  
pp. 215 ◽  
Author(s):  
Аlexandr Berezko ◽  
Anatoly Soloviev ◽  
Roman Krasnoperov ◽  
Alena Rybkina
Keyword(s):  
Earth Sciences ◽  
Volcanic Activity ◽  
Scientific Community ◽  
Earth Science ◽  
General Analysis ◽  
Fuzzy Mathematics ◽  
Geoinformation System ◽  
Science Data ◽  
The Earth ◽  
Earth Science Data

The present study is aimed at the integration of data on geography, geology, geophysics, geoecology and other Earth sciences in the comprehensive problem-oriented geoinformation system (GIS) including the intellectual superstructure for geoinformation analysis. At the present time GIS provide only limited opportunities for general analysis of geodata handled. At the same time, among the scientific community, dealing with the Earth sciences data, the requirement of more profound and comprehensive data analyzing and processing is constantly growing. The theory and methods of artificial intellect (AI) must become not only an integral, but the main core of a modern GIS. The methods of fuzzy mathematics correlate with a fuzzy character of geophysical data. The AI methods, developed by the authors, and presently applied to volcanic activity monitoring, search and interpretation of anomalies in geophysical fields, solving environmental, geodynamic and other problems, turned out to be a success.

Ordination analyses in sedimentology, geochemistry and paleoenvironment - current trends and recommendations 

2021 ◽  
Author(s):  
Or Mordechay Bialik ◽  
Emilia Jarochowska ◽  
Michal Grossowicz
Keyword(s):  
Earth Sciences ◽  
Data Analysis ◽  
Earth Science ◽  
Geochemical Data ◽  
Data Sets ◽  
Science Data ◽  
R Software ◽  
Data Set ◽  
Ordination Analyses ◽  
Earth Science Data

<p>Ordination is a family of multivariate exploratory data analysis methods. With the advent of high-throughput data acquisition protocols, community databases, and multiproxy studies, the use of ordination in Earth sciences has snowballed. As data management and analytical tools expand, this growing body of knowledge opens new possibilities of meta-analyses and data-mining across studies. This requires the analyses to be chosen adequately to the character of Earth science data, including pre-treatment consistent with the precision and accuracy of the variables, as well as appropriate documentation. To investigate the current situation in Earth sciences, we surveyed 174 ordination analyses in 163 publications in the fields of geochemistry, sedimentology and palaeoenvironmental reconstruction and monitoring. We focussed on studies using Principal Component Analysis (PCA), Non-Metric Multidimensional Scaling (NMDS) and Detrended Correspondence Analysis (DCA).</p><p>PCA was the most ubiquitous type of analysis (84%), with the other two accounting for ca. 12% each. Of 128 uses of PCA, only 5 included a test for normality, and most of these cases were not applied or documented correctly. Common problems include: (1) not providing information on the dimensions of the analysed matrix (16% cases); (2) using a larger number of variables than observations (24 cases); (3) not documenting the distance metric used in NMDS (55% cases); and (4) lack of information on the software used (38% cases). The majority (53%) of surveyed studies did not provide the data used for analysis at all and a further 35% provided data sets in a format that does not allow immediate, error-free reuse, e.g. as data table directly in the article text or in PDF appendix. The “golden standard” of placing a curated data set in an open access repository was followed only by 6 (3%) of the analyses. Among analyses which reported using code-based statistical environments such as R Software, SAS or SPSS, none provided the code that would allow reproducing the analyses.</p><p>Geochemical and Earth science data sets require expert knowledge which should support analytical decisions and interpretations. Data analysis skills attract students to Earth sciences study programmes and offer a viable research alternative when field- or lab-based work is limited. However, many study curricula and publishing process have not yet endorsed this methodological progress, leading to situations where mentors, reviewers and editors cannot offer quality assurance for the use of ordination methods. We provide a review of solutions and annotated R Software code for PCA, NMDA and DCA of geochemical data sets in the freeware R Software environment, encouraging the community to reuse and further develop a reproducible ordination workflow.</p>

scholarly journals NASA Global Satellite and Model Data Products and Services for Tropical Meteorology and Climatology

2020 ◽  
Vol 12 (17) ◽  
pp. 2821
Author(s):  
Zhong Liu ◽  
Chung-Lin Shie ◽  
Angela Li ◽  
David Meyer
Keyword(s):  
Earth Sciences ◽  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Earth Science ◽  
Data Access ◽  
Tropical Meteorology ◽  
Distribution Analysis ◽  
Model Data ◽  
Science Data ◽  
Data Products

Satellite remote sensing and model data play an important role in research and applications of tropical meteorology and climatology over vast, data-sparse oceans and remote continents. Since the first weather satellite was launched by NASA in 1960, a large collection of NASA’s Earth science data is freely available to the research and application communities around the world, significantly improving our overall understanding of the Earth system and environment. Established in the mid-1980s, the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), located in Maryland, USA, is a data archive center for multidisciplinary, satellite and model assimilation data products. As one of the 12 NASA data centers in Earth sciences, GES DISC hosts several important NASA satellite missions for tropical meteorology and climatology such as the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) Mission and the Modern-Era Retrospective analysis for Research and Applications (MERRA). Over the years, GES DISC has developed data services to facilitate data discovery, access, distribution, analysis and visualization, including Giovanni, an online analysis and visualization tool without the need to download data and software. Despite many efforts for improving data access, a significant number of challenges remain, such as finding datasets and services for a specific research topic or project, especially for inexperienced users or users outside the remote sensing community. In this article, we list and describe major NASA satellite remote sensing and model datasets and services for tropical meteorology and climatology along with examples of using the data and services, so this may help users better utilize the information in their research and applications.

scholarly journals The need for a new set of measures to assess the impact of research in earth sciences in Indonesia

2021 ◽  
Vol 47 ◽  
Author(s):  
Dasapta Erwin Irawan ◽  
Juneman Abraham ◽  
Jonathan Peter Tennant ◽  
Olivier Pourret
Keyword(s):  
Earth Sciences ◽  
Earth Science ◽  
Research Performance ◽  
National Level ◽  
Local Communities ◽  
Impact Factors ◽  
Search Term ◽  
Scientific Publications ◽  
Scientific Databases ◽  
The Impact

Background: Earth sciences is one of those sensitive field sciences that are closely needed to solve local problems within local physical and social settings. Earth researchers find state-of-the-art of topics in earth sciences by using scientific databases, conduct research on the topics, and write about them. However, the accessibility, readability, and usability of those articles for local communities are major problems in measuring the impact of research, although it may be covered by well-known international scientific databases. Objectives: To ascertain empirically whether there are differences in document distribution, in the proportions of openly accessible documents, and in the geographical coverage of earth sciences topics as revealed through analyses of documents retrieved from scientific databases and to propose new measures for assessing the impact of research in earth sciences based on those differences. Methods: Relevant documents were retrieved using ‘earth sciences’ as a search term in English and other languages from ten databases of scientific publications. The results of these searches were analysed using frequency analysis and a quantitative- descriptive design. Results: (1) The number of articles in English from international databases exceeded the number of articles in native languages from national-level databases. (2) The number of open-access (OA) articles in the national databases was higher than that in other databases. (3) The geographical coverage of earth science papers was uneven between countries when the number of documents retrieved from closed-access commercial databases was compared to that from the other databases. (4) The regulations in Indonesia related to promotion of lecturers assign greater weighting to publications indexed in Scopus and the Web of Science (WoS) and publications in journals with impact factors are assigned a higher weighting. Conclusions: The dominance of scientific articles in English as well as the paucity of OA publications indexed in international databases (compared to those in national or regional databases) may have been due to the greater weighting assigned to such publications. Consequently, the relevance of research reported in those publications to local communities has been questioned. This article suggests some open-science practices to transform the current regulations related to promotion into a more responsible measurement of research performance and impact.

scholarly journals The "GDSClient" Collecting Tool for Networked Solid Earth Science Data

2010 ◽  
Vol 9 ◽  
pp. S135-S139
Author(s):  
H. Nagao ◽  
S. Tsuboi ◽  
Y. Ishihara ◽  
H. Yanaka
Keyword(s):  
Solid Earth ◽  
Earth Science ◽  
Science Data ◽  
Earth Science Data

Geological Field Sketches and Illustrations

2019 ◽  
Author(s):  
Matthew J. Genge
Keyword(s):  
Cross Sections ◽  
Earth Science ◽  
Three Dimensional ◽  
Worked Examples ◽  
Scientific Publications ◽  
Thin Sections ◽  
Geological Features ◽  
Different Types ◽  
The Subject

Drawings, illustrations, and field sketches play an important role in Earth Science since they are used to record field observations, develop interpretations, and communicate results in reports and scientific publications. Drawing geology in the field furthermore facilitates observation and maximizes the value of fieldwork. Every geologist, whether a student, academic, professional, or amateur enthusiast, will benefit from the ability to draw geological features accurately. This book describes how and what to draw in geology. Essential drawing techniques, together with practical advice in creating high quality diagrams, are described the opening chapters. How to draw different types of geology, including faults, folds, metamorphic rocks, sedimentary rocks, igneous rocks, and fossils, are the subjects of separate chapters, and include descriptions of what are the important features to draw and describe. Different types of sketch, such as drawings of three-dimensional outcrops, landscapes, thin-sections, and hand-specimens of rocks, crystals, and minerals, are discussed. The methods used to create technical diagrams such as geological maps and cross-sections are also covered. Finally, modern techniques in the acquisition and recording of field data, including photogrammetry and aerial surveys, and digital methods of illustration, are the subject of the final chapter of the book. Throughout, worked examples of field sketches and illustrations are provided as well as descriptions of the common mistakes to be avoided.

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