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Record W4393401509 · doi:10.5281/zenodo.5044247

Rapid Creation of a Data Product for the World's Specimens of Horseshoe Bats and Relatives, a Known Reservoir for Coronaviruses

2021· dataset· en· W4393401509 on OpenAlexaff
Austin Mast, Deborah Paul, Nelson Rios, Robert Bruhn, Trevor Dalton, Erica Krimmel, Katelin D. Pearson, Aja Sherman, David Peter Shorthouse, Nancy B. Simmons, Pam Soltis, Nathan S. Upham, Djihbrihou Abibou

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedataset
Languageen
FieldMedicine
TopicCOVID-19 diagnosis using AI
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsHorseshoe (symbol)Coronavirus disease 2019 (COVID-19)CoronavirusGeography2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Product (mathematics)ZoologyBiologyArchaeologyVirologyComputer scienceMedicineOutbreakInfectious disease (medical specialty)Mathematics

Abstract

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This repository is associated with NSF DBI 2033973, RAPID Grant: Rapid Creation of a Data Product for the World's Specimens of Horseshoe Bats and Relatives, a Known Reservoir for Coronaviruses (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2033973). Specifically, this repository contains (1) raw data from iDigBio (http://portal.idigbio.org) and GBIF (https://www.gbif.org), (2) R code for reproducible data wrangling and improvement, (3) protocols associated with data enhancements, and (4) enhanced versions of the dataset published at various project milestones. Additional code associated with this grant can be found in the BIOSPEX repository (https://github.com/iDigBio/Biospex). Long-term data management of the enhanced specimen data created by this project is expected to be accomplished by the natural history collections curating the physical specimens, a list of which can be found in this Zenodo resource. Grant abstract: "The award to Florida State University will support research contributing to the development of georeferenced, vetted, and versioned data products of the world's specimens of horseshoe bats and their relatives for use by researchers studying the origins and spread of SARS-like coronaviruses, including the causative agent of COVID-19. Horseshoe bats and other closely related species are reported to be reservoirs of several SARS-like coronaviruses. Species of these bats are primarily distributed in regions where these viruses have been introduced to populations of humans. Currently, data associated with specimens of these bats are housed in natural history collections that are widely distributed both nationally and globally. Additionally, information tying these specimens to localities are mostly vague, or in many instances missing. This decreases the utility of the specimens for understanding the source, emergence, and distribution of SARS-COV-2 and similar viruses. This project will provide quality georeferenced data products through the consolidation of ancillary information linked to each bat specimen, using the extended specimen model. The resulting product will serve as a model of how data in biodiversity collections might be used to address emerging diseases of zoonotic origin. Results from the project will be disseminated widely in opensource journals, at scientific meetings, and via websites associated with the participating organizations and institutions. Support of this project provides a quality resource optimized to inform research relevant to improving our understanding of the biology and spread of SARS-CoV-2. The overall objectives are to deliver versioned data products, in formats used by the wider research and biodiversity collections communities, through an open-access repository; project protocols and code via GitHub and described in a peer-reviewed paper, and; sustained engagement with biodiversity collections throughout the project for reintegration of improved data into their local specimen data management systems improving long-term curation. This RAPID award will produce and deliver a georeferenced, vetted and consolidated data product for horseshoe bats and related species to facilitate understanding of the sources, distribution, and spread of SARS-CoV-2 and related viruses, a timely response to the ongoing global pandemic caused by SARS-CoV-2 and an important contribution to the global effort to consolidate and provide quality data that are relevant to understanding emergent and other properties the current pandemic. This RAPID award is made by the Division of Biological Infrastructure (DBI) using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria." Files included in this resource 9d4b9069-48c4-4212-90d8-4dd6f4b7f2a5.zip: Raw data from iDigBio, DwC-A format 0067804-200613084148143.zip: Raw data from GBIF, DwC-A format 0067806-200613084148143.zip: Raw data from GBIF, DwC-A format 1623690110.zip: Full export of this project's data (enhanced and raw) from BIOSPEX, CSV format bionomia-datasets-attributions.zip: Directory containing 103 Frictionless Data packages for datasets that have attributions made containing Rhinolophids or Hipposiderids, each package also containing a CSV file for mismatches in person date of birth/death and specimen eventDate. File bionomia-datasets-attributions-key_2021-02-25.csv included in this directory provides a key between dataset identifier (how the Frictionless Data package files are named) and dataset name. bionomia-problem-dates-all-datasets_2021-02-25.csv: List of 21 Hipposiderid or Rhinolophid records whose eventDate or dateIdentified mismatches a wikidata recipient’s date of birth or death across all datasets. flagEventDate.txt: file containing term definition to reference in DwC-A flagExclude.txt: file containing term definition to reference in DwC-A flagGeoreference.txt: file containing term definition to reference in DwC-A flagTaxonomy.txt: file containing term definition to reference in DwC-A georeferencedByID.txt: file containing term definition to reference in DwC-A identifiedByNames.txt: file containing term definition to reference in DwC-A instructions-to-get-people-data-from-bionomia-via-datasetKey: instructions given to data providers RAPID-code_collection-date.R: code associated with enhancing collection dates RAPID-code_compile-deduplicate.R: code associated with compiling and deduplicating raw data RAPID-code_external-linkages-bold.R: code associated with enhancing external linkages RAPID-code_external-linkages-genbank.R: code associated with enhancing external linkages RAPID-code_external-linkages-standardize.R: code associated with enhancing external linkages RAPID-code_people.R: code associated with enhancing data about people RAPID-code_standardize-country.R: code associated with standardizing country data RAPID-data-dictionary.pdf: metadata about terms included in this project’s data, in PDF format RAPID-data-dictionary.xlsx: metadata about terms included in this project’s data, in spreadsheet format rapid-data-providers_2021-05-03.csv: list of data providers and number of records provided to rapid-joined-records_country-cleanup_2020-09-23.csv rapid-final-data-product_2021-06-29.zip: Enhanced data from BIOSPEX, DwC-A format rapid-final-gazetteer.zip: Gazetteer providing georeference data and metadata for 10,341 localities assessed as part of this project rapid-joined-records_country-cleanup_2020-09-23.csv: data product initial version where raw data has been compiled and deduplicated, and country data has been standardized RAPID-protocol_collection-date.pdf: protocol associated with enhancing collection dates RAPID-protocol_compile-deduplicate.pdf: protocol associated with compiling and deduplicating raw data RAPID-protocol_external-linkages.pdf: protocol associated with enhancing external linkages RAPID-protocol_georeference.pdf: protocol associated with georeferencing RAPID-protocol_people.pdf: protocol associated with enhancing data about people RAPID-protocol_standardize-country.pdf: protocol associated with standardizing country data RAPID-protocol_taxonomic-names.pdf: protocol associated with enhancing taxonomic name data RAPIDAgentStrings1_archivedCopy_30March2021.ods: resource used in conjunction with RAPID people protocol recordedByNames.txt: file containing term definition to reference in DwC-A Rhinolophid-HipposideridAgentStrings_and_People2_archivedCopy_30March2021.ods: resource used in conjunction with RAPID people protocol wikidata-notes-for-bat-collectors_leachman_2020: please see https://zenodo.org/record/4724139 for this resource

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.211
Threshold uncertainty score0.706

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.008
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0040.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2110.229

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.144
GPT teacher head0.362
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2021
Admission routes1
Has abstractyes

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