dataesr/scientific-paragraphs-categorization huggingface dataset:
Workbook A collection of spreadsheets or tabs (e. g. , MS Excel) Table  1. Definitions of terms used in the present work. characterization, correlation, and data reporting is essential to improving the quality and reusability of regional and global tephra datasets. In recognition of this need, a series of multidisciplinary tephra workshops held between 2014-2019 drew consensus from >100 members of the global tephra community on the need to: (a) identify, develop, and share best practices in tephra data collection, analysis, and reporting across different scientific disciplines, and (b) establish common, accessible mechanisms for tephra data archiving and retrieval. These tephra-community-wide workshops and subsequent developments built upon past efforts and progress to establish best practice methodologies in tephra studies (e.
g. [61] [62] [63]  ), with an interdisciplinary viewpoint, on the entire research process from field collection to laboratory analysis and finally to publication and accessible data archiving. Here we focus on the development of a framework of best practices as the first step towards standardization of protocols for the collection, analysis and reporting of tephra data across and within disciplines. The resulting uniformity will facilitate the development, population, and interoperability of globally usable tephra databases (e. g. , Tephrabase 43 ; RESET  46  ; AntT 45 ; GeoDIVA 48 and TephraKam  49  ), and the aggregation and reusability of information from multiple datasets. As an expression of this framework, the community has generated best practice recommendations to: (a) ensure consistency in data acquisition and reporting among tephra scientists, regardless of research focus; (b) provide basic, comprehensible metadata requirements, especially for those who collect tephra as a peripheral part of their research; (c) enable the community to create compatible datasets that can be built upon and readily reused; (d) help train students to identify and collect relevant data using checklists; (e) develop templates for publication of supplementary data files and/or upload into databases; (f) inform software tool and data repository development; (g) help journal editors and reviewers to know which essential information should be included in published works, and (h) aid in data management plans required by most funding agencies (e.
g. , National Science Foundation -NSF, Natural Environmental Research Council -NERC). Consistency in tephra sample collection, analysis, and reporting attained by the widespread adoption of these best-practice recommendations should ultimately facilitate global collaborative tephra research. We see standardized protocols as a way to finally link diverse research disciplines and scientists; the next step will be to build supporting data management systems and tools to facilitate efficient data access and reuse. Implementation of these best-practice protocols in tephra datasets, data templates, repositories, and digital tools has already begun, and we highlight some examples below.
Paleontology and evolution isochron, impacts Archaeology, human history, human origins isochron, impacts  18, 19  Anthropology isochron, impacts, ecology  90  Glacial geology Isochron  91  , impacts Atmospheric science effects, impacts on atmospheric chemistry  13  Tectonophysics (paleoseismology) Isochron  17, 92  Geomorphology Isochron  93  Landslide hazards Isochron, impacts  94, 95  Basin stratigraphy and analysis Isochron  53  Paleofire Isochron  96, 97  Soil science isochron Geological data managers all data collected by above scientists Table  2. Various disciplines that work with tephra in their research. representation and participation of >100 tephra scientists from 17 nations (Supplementary Table ) ensures a well-vetted set of best practice recommendations. The recommendations are organized as a series of topical, evolving workbooks (spreadsheets with multiple data tabs), openly shared on the Zenodo platform  64  and which distill all critical components into a readily usable, well-documented, and system-independent format.
Building blocks to the best practice recommendations. The Tephra in Quaternary Science (TIQS) research group of the UK-based Quaternary Research Association held a 36-participant workshop in 2011 to discuss implications of the 2010 eruptions of Eyjafjallajökull volcano in Iceland for tephrochronology, volcanology, and Quaternary studies. The meeting report  66  summarizes several essential research needs identified during the workshop, including better geochemical data comparability, routine reporting of tephra grain size data, better protocols for field data collection, and more complete datasets. The International Volcanic Health Hazard Network (IVHHN)  67  has developed a set of scientific protocols for rapid collection and analysis of freshly erupted volcanic ash for the assessment of health hazards and includes important workflows for the timing of various analyses (e.
g. [68] [69] [70] [71]  ). We defer to the IVHHN for best practices guidelines for analysis of ash for assessment of health impacts but include sample collection guidance for such analyses in the best practice recommendations presented here. The Volcanic Ash Impacts Working Group of the Cities on Volcanoes Commission of IAVCEI is an international consortium of multidisciplinary geoscientists focused on understanding and mitigating the impacts of ashfall including on critical infrastructure and agriculture, and clean up methodology and disposal, and thus have developed workflows for analysis of tephra following eruptions  [72] [73] [74]. This working group formally began in 2008 with the goal of pulling the global community together to share experiences and attempt to standardize protocols for ashfall data collection and analysis, create standard data checklists to assess potential societal impact following eruptions, and create ash impacts loss-damage functions for risk calculations.
Community-based, interdisciplinary best practice recommendations. Most directly, the present holistic best practice recommendations are the product of international workshops held in 2014, 2017, and 2019. Workshop documents, including consensus reports and summaries, are archived on VHub  75  (and links therein), and outcomes are summarized at Zenodo  64. Workshop participants are listed in Supplementary Table. The first workshop "Tephra 2014 -Maximizing the potential of tephra for multidisciplinary science" specifically aimed to bring together an international and interdisciplinary group to (a) discuss major developments, best practices, future directions, and needs in tephra studies and (b) enhance interdisciplinary collaboration and data sharing. To achieve these goals, the organizers directly contacted >100 scientists across archaeology, geochronology, geoinformatics, geomorphology, limnology, paleoseismology, paleomagnetism, statistics, tectonics, tephrochronology, volcanology, and Quaternary studies and distributed a general call for participants via ≥40 scientific associations, including those involved in the above mentioned "building blocks" to the best practice recommendations presented here.
The 70-participant, 4-day workshop was held 3-7 August 2014 in Portland, Oregon, USA. Two consensus  75  themes emerged from this workshop calling for (a) standardization of tephra field data collection, geochemical analysis, correlation, and data reporting and (b) development of databases to facilitate information access across communities representing different disciplines. All agreed that standardization was a necessary precursor to widespread database development and data sharing. In addition to the consensus report  75  , presentation videos  75  , and a 2014 American Geophysical Union (AGU) annual meeting report poster  76  , the workshop yielded a set of three checklists (predecessors of the current best practice workbooks) covering sample collection, sample analysis, and tephra correlation.
These were shared (and physically distributed) during and after the 2015 AGU meeting  77  to collect community feedback. Feedback was also solicited directly from all 2014 workshop participants and invitees and via postings on several listservs. A one-day workshop in 2017 was held in conjunction with the quadrennial IAVCEI Scientific Assembly (http://iavcei2017. org/postA_2. html). This second workshop focused on the two consensus themes identified during the 2014 workshop  75. The ≥50 participants re-affirmed a strong commitment toward standardization and interdisciplinary data sharing and agreed that these efforts would significantly advance tephra research. The three best practice checklists were updated and expanded to include a fourth: tephra data publication. Continued feedback from the tephra community aided in further developing the four checklists.
In 2019, updated checklists, now considered and referred to as "best-practice recommendations" were presented at the International Union for Quaternary Research (INQUA) Congress  78  , and to an International Focus Group on Tephrochronology and Volcanism (INTAV) group by invitation in Dublin, Ireland. In association with these meetings, a small group of 15 researchers, leaders in the fields of tephra collection and analysis, gathered with a focused task: to (a) discuss, debate, and then distill the essential information -i. e. , minimum data, methods, and metadata requirements -that must be routinely reported, and to (b) incorporate existing best-practice material as appropriate. The goal of the 2019 workshop was to bring the best-practice recommendations to a place of publication so they could be more widely used by the tephra community at large.
The team worked in small, focused groups cataloguing key metadata for the various aspects of tephra collection through to analysis and reporting of data. As a result, the former suite of four checklists were expanded into six separate workbooks focused on metadata recommendations for tephra: (1) collection, (2) processing and preparation, (3) geochemical analysis, (4) physical analysis, (5) physical microanalysis (microscopic imaging), and (6) correlation. These themed workbooks were iterated over the next 10 months and definitions, examples and key references were added to explain metadata. The workbooks and metadata therein are organized in such a way as to be compatible for database development. The first public versions of the best practice recommendation workbooks were archived at Zenodo 64 in May 2020 and have been revised with community input three times.
results Based on the framework developed by the global scientific tephra community (see Methods), we constructed recommendations in the form of workbooks of tabular data (spreadsheets) that list the most important data types and affiliated metadata required for tephra collection, processing, analysis, and correlation. These recommendation workbooks are linked by categorical relationships, subdivided into logical areas. Major categories are defined to explain their applicability for novice users. Data fields include definitions (what, why, etc. ) that provide a shared vocabulary for database and software tool development. Every workbook includes multiple tabs: (1) introduction, (2) metadata and data types, (3) additional resources (references and links), and (4) lists of pre-defined terms for possible inclusion in digital apps (to help reduce typing errors and conform to standard terminology).
For fieldwork, the recommendations emphasize data collection in different contexts, such as excavations, cores, or on the ground surface immediately following an eruption. Sample processing focuses on general processing and preparation for specific types of analyses (not including health impacts). For geochemical laboratory analysis of glasses, minerals, and whole rock, the recommendations emphasize the importance of appropriate secondary standards -i. e. , appropriate quality control reference materials -analyzed during the same instrument sessions as unknowns, as the primary and most important documentation of analytical quality. This reference material data should be required for publications, stored in databases, and linked with the corresponding tephra analysis. Past practices have not consistently included such materials or reported such data, severely limiting the ability for others to assess data quality.
Similarly, complete analytical results -e. g. , all individual point data for EPMA or Laser Ablation Inductively Coupled Mass Spectrometry (LA-ICP-MS), and the individual values for all analyzed elements -must also be reported routinely. For example, analytical techniques like EPMA and ICP-MS are based on signal counting and largely follow Poisson statistics and replicate analyses on a homogeneous material will follow a probability distribution. At low enough concentrations, a portion of that distribution will naturally begin to fall below the single analysis detection limit but are no less valid as members of the population than those analyses which fall above the limit. Therefore, they must be included in analytical results to avoid biasing the dataset by computing statistics without all available data.
For physical and microphysical analysis in the field and laboratory, the recommendations emphasize careful thickness measurement as well as grain componentry, size, shape, and mass measurements, which are all important in calculating eruption source parameters. The correlation recommendations emphasize the importance of a multi-parameter approach that includes evaluating geochemical evidence of correlation against independent data, such as age, stratigraphic association, expected deposit thickness, and visual similarity, to substantiate a correlation. The recommendation workbooks are intended as a catalog of key data and metadata identified by the global scientific tephra community as most important for generating high quality datasets that maximize transparency, data sharing, and collaboration.
Minimum requirements are meant as essential practice recommendations, as we recognize that the lack of such information in legacy datasets will limit their re-use, even though these datasets will remain valuable for certain research purposes. Consequently, those developing tephra databases using these recommendations should consider a flexible policy for uploading incomplete legacy data, as well as allowing flexibility in database design to accommodate such data. The tephra community specifically avoids recommendations of parameters for analytical instrument settings, focusing instead on the basic metadata associated with the various collection and analysis steps, including key instrument metadata that should be recorded during analysis. We recommend that every lab or individual researcher publish their routine lab-specific methods (e.
g. , details of EPMA, LA-ICPMS settings, details of the epoxy used, etc. ) in publicly available systems (e. g. , in databases, web sites, on-line data servers, publications), ideally with a permanent digital object identifier (DOI). Minor diversions from a previously documented and cited method can then be reported with the analytical results; major changes in laboratory methodology should result in a new method description. The recommendations include the most commonly performed tephra analyses, and we defer to the literature for specific or evolving analyses, such as those to assess ashfall impacts to society and economy  [68] [69] [70] [71] [72] [73] [74]. Best practice recommendation workbooks. The best practice recommendation workbooks are computer system-independent and can be converted and used with proprietary and non-proprietary software tools: e.
g. , Google Sheets, Microsoft Excel, Apple Numbers, or OpenOffice. The granular design allows information to be (a) used as a model for database construction, (b) developed into data templates for upload into databases, (c) used to organize data, and (d) used as the basis for data supplemental tables for publication, or (e) as training guides (checklists). Tephra collection. The "Tephra Collection" workbook aims to aid researchers in data collection in field settings from proximal (near the volcano where tephra deposits are typically coarse grained and thick) to ultradistal (thousands of kilometers from the volcano where deposits either are very thin or consist of cryptotephra, trace accumulations of particles less than a few hundred microns that are not visible to the naked eye in situ  46  ).
Discussion The tephra community best-practice recommendations are aimed at maximizing long-term reusability and facilitating sharing of data across disciplines. They are designed to encourage different research groups working with tephra to use similar (standardized) practices for data collection and processing, and to lower barriers for new investigators to enter the field by providing key publications and working examples that they can consult for topics specific to their tephra-related research area. No single dataset is expected to incorporate all the best-practice recommendations because of the varied nature of real-world tephra studies (e. g. , tephrochronology, impacts, eruption characterization). Depending on the goal of the project, only a subset of the guidelines may apply (e. g.
Implementations of the best-practice recommendations. To increase usability of these recommendations and to aid users in adopting the best practices into their workflow, we include examples of datasets that convert the best-practice worksheets into usable formats for data population (that can be used as templates). We have collaborated with the developers of StraboSpot (https://www. strabospot. org/)  79  , a digital field collection tool; System for Earth Sample Registration (SESAR, https://www. geosamples. org/) and EarthChem (https:// www. earthchem. org/), open-access geologic data repositories; and Sparrow, lab management software (https:// sparrow-data. org/) to incorporate the best practice metadata fields into their systems, to make it easy for users of tephra-specific data. Kuehn et al.
80, 81  converted the best practice workbooks into datasheets or templates. These include examples of field collection templates, datasets of physical sample characteristics (e. g. , particle size, maximum clast measurements etc. ) and geochemistry. Hopkins et al. 82  and Leicher at al. 83  recently published their regional tephra datasets in the EarthChem open-source data repository using the tephra template (https://www. earthchem. org/communities/tephra/) developed from the best practice workbooks. We encourage the tephra community to contribute links to worked examples like these and new examples (e. g. , methods documentation) that can be referenced on Zenodo  64  along with the best-practice metadata worksheets to be used as citable references, examples, and templates for tephra researchers.
Contact the authors if you have working examples to link to the compilation. The best-practice recommendations serve as the basis for the inclusion of tephra data collection in StraboSpot (https://www. strabospot. org/). StraboSpot is a free, community-developed, geologic mapping and data-recording digital framework optimized for tablets, which archives data in a cloud-based data storage server that is accessible via a web browser. The addition of tephra-specific fields (taken directly from the best practice workbooks) to a new module, StraboSpot Tephra (https://www. strabospot. org/files/StraboSpotTephraHelp. pdf), enables users to consistently collect and report essential tephra data in the field which is then automatically saved to an online data repository. We find that use of StraboSpot for data collection in the field results in more consistent field data than does the use of traditional user-based methods (i.
e. , field notebooks) because certain metadata are automatically prompted to be recorded such as date, time, and geocoded spot coordinates. The enforcement of data collection, or at least a reminder, is an important feature of StraboSpot and the best-practice recommendations. SESAR (https://www. geosamples. org/) is a platform for registering information related to samples in a public database, to improve their discoverability. As such, all samples are assigned International Geo Sample Numbers (IGSN) which are globally unique identifiers, allowing samples to be unambiguously cited and linked to data and publications. EarthChem (https://www. earthchem. org/) is an open-access repository that offers data preservation and access, including long-term archiving and registration of data with Digital Object Identifiers (DOIs).
org/). Sparrow is software for managing analytical data and tracking project-and sample-level metadata. Much like the direct digital data capture in StraboSpot (https:// www. strabospot. org/), these plug-ins will enable the capture of sample processing workflows and laboratory data collection while that work is being conducted. This digital-first approach will aid researchers in utilizing best practices and will streamline the process of later submitting information to open repositories, thereby reducing the data archival workload for researchers. Usage of tephra-specific data templates and tools and the uploading of data to open-source data repositories supports data management for researchers and facilitates faster access to key research by secondary users while meeting FAIR 84 data principles-findable, accessible, interoperable and reusable.
Because these recommendations have been in development since the 2014 tephra workshop  75  and have been shared iteratively to solicit feedback from tephra research community, there are numerous examples of their current use by tephra scientists and peer reviewers of tephra data. Since 2019, several journal editors and journal peer reviewers (e. g. , GChron, Nature Science Data, Alaska Geological & Geophysical Surveys) have solicited the authors for access to the best-practice recommendations for use in reviewing tephra manuscript submissions. The Zenodo site hosting the recommendation workbooks  64  has received 2,475 visits and nearly 500 downloads of the workbooks between May 2020 and July 2022. We are aware of several recent studies  [80] [81] [82] [83]  that have explicitly used the best practice-recommendations for publishing tephra data.
Creating best-practice-recommendation metadata workbooks is a first (but not final) major step to meet the data accessibility goals of the communities that use tephra in their research. It is essential to establish and distribute best practice standards now, early in the process of tephra data globalization, and then develop databases and other derivative frameworks accordingly. Anticipated future uses of the best practice framework include: (a) training guides and checklists for researchers and students doing field, laboratory and interpretative work on tephra deposits, (b) formats or templates for supplementary data for publications and upload to databases, (c) templates for journal editors to help ensure public conformity with standards, (d) DOI-citable method description files linked to analytical data in repositories and publications, and (e) aid in data management plans required by most funding agencies (e.
g. , NSF, NERC). The global tephra community encourages all researchers who work with tephra to begin using the recommendations when developing checklists or other tools for data collection, processing, and data supplementary files for publication, because the easiest way to distribute, share, and integrate reusable data is through scientific datasets that follow common practices. Using the recommendations as a guide to what are considered important data and metadata is a key step toward generating high-quality, reusable data that is required for future interconnected databases.