Data from: sFDvent: a global trait database for deep-sea hydrothermal-vent fauna

Chapman AS, Beaulieu SE, Colaço A, Gebruk AV, Hilario A, Kihara TC, Ramirez-Llodra E, Sarrazin J, Tunnicliffe V, Amon DJ, Baker MC, Boschen-Rose RE, Chen C, Cooper IJ, Copley JT, Corbari L, Cordes EE, Cuvelier D, Duperron S, Du Preez C, Gollner S, Horton T, Hourdez S, Krylova EM, Linse K, LokaBharathi PA, Marsh L, Matabos M, Mills SW, Mullineaux LS, Rapp HT, Reid WDK, Rybakova (Goroslavskaya) E, Thomas TRA, Southgate SJ, Stöhr S, Turner PJ, Watanabe HK, Yasuhara M, Bates AE

Date Published: July 31, 2019

DOI: https://doi.org/10.5061/dryad.cn2rv96

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Title sFDvent trait database for deep-sea hydrothermal-vent species, v.1.0
Downloaded 4 times
Description This file is the processed, ‘ready-to-use’ version of the sFDvent trait dataset that we recommend for use. The sFDvent database comprises species-level trait scores for deep-sea hydrothermal-vent species across the globe, as contributed by experts using their observations on research cruises and in laboratories, as well as published literature. ‘Taxon’ refers to the taxonomic identity assigned by contributors, while ‘UniqueID’ is an identifier created using letters from the taxon and the entry number, to make it easier to work with the data and reference a taxon. A glossary, describing the traits and modalities, is provided with the paper that accompanies this dataset. We would recommend that users check these data are processed in line with criteria and thresholds appropriate for their research question and/or analytical approach and make adjustments where required, as no dataset will be fit for all purposes. Nevertheless, to ensure this dataset is as user-friendly and ‘ready-to-use’ as possible, we only include traits in this version of the dataset that meet thresholds for certainty and coverage, with more than 50% of species scored and/or an average certainty score of more than 2.3 (of a maximum score of 3). References have been assigned numeric identifiers, which can be matched to the references provided in the paper that accompanies this dataset. If more than one reference is provided to support a score, the reference identifiers are separated by a semi-colon (;). Please note that species with UniqueID 'Aus74' should not have 'Lau Basin' listed as a location. This has been corrected since publication and will be updated in future versions of the sFDvent database.
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At the request of the author, this item is embargoed until 2020-07-30
Title Table_S4.1_Glossaries
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Description These glossaries can be used to check the definitions of the traits and modalities in the sFDvent database.
Download Table_S4.1_Glossaries.xls (133.1 Kb)
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Title Table_S4.3_Raw
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Description Table S4.3 is a copy of raw data contributions, compiled from the personalised files sent to each sFDvent contributor. This version of the dataset is provided for transparency and as metadata for users wanting to refer to raw contributions and/or data provided by specific contributors. This dataset includes traits that were removed from the error-checked, quality-controlled dataset due to lack of coverage and would require appropriate processing for each user’s research question before it could be used in an analysis. A glossary to support the traits and modalities given in Table S4.3 is provided in Table S4.1.
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At the request of the author, this item is embargoed until 2020-07-30
Title Table_S4.4_CleanedRaw
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Description Table S4.4 is a cleaned version of Table S4.3, processed according to the decision rules documented in Table S4.5. We refer users to the Supporting Information accompanying the manuscript for further information about this, and other, files.
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At the request of the author, this item is embargoed until 2020-07-30
Title Table_S4.5_Metadata
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Description Here, we document the decision rules used to clean / process the data provided in Table S4.3 (raw data). We refer users to the Supporting Information accompanying the manuscript, as well as the manuscript itself, for further information.
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At the request of the author, this item is embargoed until 2020-07-30
Title Table_S4.2_Recommended_References_As_Numbers_v1
Downloaded 30 times
Description This file is the processed, ‘ready-to-use’ version of the sFDvent trait dataset that we recommend for use. The sFDvent database comprises species-level trait scores for deep-sea hydrothermal-vent species across the globe, as contributed by experts using their observations on research cruises and in laboratories, as well as published literature. ‘Taxon’ refers to the taxonomic identity assigned by contributors, while ‘UniqueID’ is an identifier created using letters from the taxon and the entry number, to make it easier to work with the data and reference a taxon. A glossary, describing the traits and modalities, is also available on Dryad (Table S4.1). We would recommend that users check these data are processed in line with criteria and thresholds appropriate for their research question and/or analytical approach and make adjustments where required, as no dataset will be fit for all purposes. Nevertheless, to ensure this dataset is as user-friendly and ‘ready-to-use’ as possible, we only include traits in this version of the dataset that meet thresholds for certainty and coverage, with more than 50% of species scored and/or an average certainty score of more than 2.3 (of a maximum score of 3). References have been assigned numeric identifiers, which can be matched to the references provided in the paper that accompanies this dataset. If more than one reference is provided to support a score, the reference identifiers are separated by a semi-colon (;).
Download Table_S4.2_Recommended_References_As_Numb...v1.xls (550.4 Kb)
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Title Video_S4.1_Tutorial
Downloaded 4 times
Description Video S4.1 is a copy of a narrated tutorial sent to all contributors as part of the online, personalised Google Sheets populated to create Table S4.3. This video could be used as a guide by future contributors to the database.
Download Video B.3.1.mov (356.5 Mb)
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When using this data, please cite the original publication:

Chapman AS, Beaulieu SE, Colaço A, Gebruk AV, Hilario A, Kihara TC, Ramirez-Llodra E, Sarrazin J, Tunnicliffe V, Amon DJ, Baker MC, Boschen-Rose RE, Chen C, Cooper IJ, Copley JT, Corbari L, Cordes EE, Cuvelier D, Duperron S, Du Preez C, Gollner S, Horton T, Hourdez S, Krylova EM, Linse K, LokaBharathi PA, Marsh L, Matabos M, Mills SW, Mullineaux LS, Rapp HT, Reid WDK, Rybakova (Goroslavskaya) E, Thomas TRA, Southgate SJ, Stöhr S, Turner PJ, Watanabe HK, Yasuhara M, Bates AE (2019) sFDvent: a global trait database for deep-sea hydrothermal-vent fauna. Global Ecology and Biogeography. https://doi.org/org/10.1111/geb.12975

Additionally, please cite the Dryad data package:

Chapman AS, Beaulieu SE, Colaço A, Gebruk AV, Hilario A, Kihara TC, Ramirez-Llodra E, Sarrazin J, Tunnicliffe V, Amon DJ, Baker MC, Boschen-Rose RE, Chen C, Cooper IJ, Copley JT, Corbari L, Cordes EE, Cuvelier D, Duperron S, Du Preez C, Gollner S, Horton T, Hourdez S, Krylova EM, Linse K, LokaBharathi PA, Marsh L, Matabos M, Mills SW, Mullineaux LS, Rapp HT, Reid WDK, Rybakova (Goroslavskaya) E, Thomas TRA, Southgate SJ, Stöhr S, Turner PJ, Watanabe HK, Yasuhara M, Bates AE (2019) Data from: sFDvent: a global trait database for deep-sea hydrothermal-vent fauna. Dryad Digital Repository. https://doi.org/10.5061/dryad.cn2rv96
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