@prefix adms: <http://www.w3.org/ns/adms#> .
@prefix aiiso: <http://purl.org/vocab/aiiso/schema#> .
@prefix cc: <http://creativecommons.org/ns#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix gsp: <http://www.opengis.net/ont/geosparql#> .
@prefix locn: <http://www.w3.org/ns/locn#> .
@prefix mads: <http://www.loc.gov/mads/rdf/v1#> .
@prefix org: <http://www.w3.org/TR/vocab-org/#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix schema: <http://schema.org/> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix tdwgi: <http://rs.tdwg.org/ontology/voc/Institution#> .
@prefix time: <http://www.w3.org/2006/time> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix void: <http://rdfs.org/ns/void#> .
@prefix xml: <http://www.w3.org/XML/1998/namespace> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da> a void:DatasetDescription ;
    cc:license <http://creativecommons.org/publicdomain/zero/1.0/> ;
    foaf:primaryTopic <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da#dataset> .

<http://nhm.ac.uk> a aiiso:Institution,
        org:Organization,
        foaf:Organization ;
    tdwgi:acronymOrCoden "NHMUK" ;
    tdwgi:institutionType <http://rs.tdwg.org/ontology/voc/InstitutionType#museum> ;
    owl:sameAs <http://dbpedia.org/resource/Natural_history_museum>,
        <https://www.wikidata.org/wiki/Q309388> ;
    foaf:name "Natural History Museum" .

<https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da#dataset> a dcat:Dataset ;
    dc:contributor "MR is funded by the Graduate School of the National Oceanography Centre Southampton and DAAD Research Grants for Doctoral Candidates 2016/17 (no. 57210260). TE is funded by NERC Advanced Research Fellowship NE/J018163/1." ;
    dc:creator [ a vcard:Person ;
            mads:hasAffiliation "Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton; Department of Earth Sciences, Natural History Museum, London; MARUM Center for Marine Environmental Sciences, University of Bremen" ;
            vcard:fn "Marina Costa Rillo; Michal Kucera; Thomas Ezard; Giles Miller" ] ;
    dc:identifier <10.5519/0001936> ;
    dc:issued "2019-01-02T15:45:03.120721"^^xsd:dateTime ;
    dc:license <http://www.opendefinition.org/licenses/cc-by> ;
    dc:modified "2019-04-25T13:38:39.910532"^^xsd:dateTime ;
    dc:temporal "21,000 years to present" ;
    dc:title "Supplementary Material: Surface Sediment Samples From Early Age of Seafloor Exploration Can Provide a Late 19th Century Baseline of the Marine Environment" ;
    dcat:contactPoint <http://nhm.ac.uk> ;
    dcat:description """Ocean-floor sediment samples collected up to 150 years ago represent an important historical archive to benchmark global changes in the seafloor environment, such as species' range shifts and pollution trends. Such benchmarking requires that the historical sediment samples represent the state of the environment at-or shortly before the time of collection. However, early oceanographic expeditions sampled the ocean floor using devices like the sounding tube or a dredge, which potentially disturb the sediment surface and recover a mix of Holocene (surface) and deeper, Pleistocene sediments. Here we use climate-sensitive microfossils as a fast biometric method to assess if historical seafloor samples contain a mixture of modern and glacial sediments. Our assessment is based on comparing the composition of planktonic foraminifera (PF) assemblages in historical samples with Holocene and Last Glacial Maximum (LGM) global reference datasets. We show that eight out of the nine historical samples contain PF assemblages more similar to the Holocene than to the LGM PF assemblages, but the comparisons are only significant when there is a high local species' temporal turnover (from the LGM to the Holocene). When analysing temporal turnover globally, we show that upwelling and temperate regions had greatest species turnover, which are areas where our methodology would be most diagnostic. Our results suggest that sediment samples from historical collections can provide a baseline of the state of marine ecosystems in the late nineteenth century, and thus be used to assess ocean global change trends.\r
\r
## Related materials:\r
Rillo MC, Kucera M, Ezard THG and Miller CG (2019) Surface Sediment Samples From Early Age of Seafloor Exploration Can Provide a Late 19th Century Baseline of the Marine Environment. Front. Mar. Sci. 5:517. doi:  https://doi.org/10.3389/fmars.2018.00517\r
\r
Marina Costa Rillo (2016). Dataset: Henry Buckley Collection of Planktonic Foraminifera. Natural History Museum Data Portal (data.nhm.ac.uk). https://doi.org/10.5519/0035055""" ;
    dcat:distribution <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/3cf600d0-3caf-4d8b-80dd-d221a1927759>,
        <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/821ec184-039c-49d8-8b73-01fa1fda6976>,
        <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/8f5dda19-b743-473a-ac8d-996b36366b06> ;
    dcat:keyword "NHC",
        "Natural history collections",
        "beta-diversity",
        "global change",
        "historical collections",
        "pre-anthropogenic",
        "pre-industrial",
        "species turnover" ;
    dcat:landingPage <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/3cf600d0-3caf-4d8b-80dd-d221a1927759>,
        <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/821ec184-039c-49d8-8b73-01fa1fda6976>,
        <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/8f5dda19-b743-473a-ac8d-996b36366b06> ;
    dcat:theme [ a skos:Concept ;
            skos:prefLabel "Research" ] .

<https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/3cf600d0-3caf-4d8b-80dd-d221a1927759> a dcat:Distribution ;
    dc:description """###Table S3, S4, S5. \r
\r
Relative abundance of planktonic foraminifera species in the historical samples M.192, M.8780, M.5246, M.408, M.3787, M.4080, M.7487, M.284 and M.25 (see Table 1 in the  [published article] (https://doi.org/10.3389/fmars.2018.00517)) and their corresponding neighbouring samples in the Holocene and Last Glacial Maximum reference datasets. \r
\r
Species not shown had 0\\% abundance in all samples. Local sedimentation rate is given by the LGM datasets (see Methods) and expressed in centimetres per thousand of years.""" ;
    dc:format "CSV" ;
    dc:title "si_table_raw_counts" ;
    dcat:accessURL <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/3cf600d0-3caf-4d8b-80dd-d221a1927759> .

<https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/821ec184-039c-49d8-8b73-01fa1fda6976> a dcat:Distribution ;
    dc:description "Code in R programming language used to generate the figures and the analyses. " ;
    dc:title "code" ;
    dcat:accessURL <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/821ec184-039c-49d8-8b73-01fa1fda6976> .

<https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/8f5dda19-b743-473a-ac8d-996b36366b06> a dcat:Distribution ;
    dc:description """### Table S1. \r
\r
Planktonic foraminifera species counts of the nine historical samples (see Table 1 in the [published article] (https://doi.org/10.3389/fmars.2018.00517)).\r
\r
IRN (OBD) stands for the internal registration number of the Ocean-Bottom Deposits collection at the Natural History Museum in London. Individuals were identified to the species level by M. Rillo and M. Kucera together.""" ;
    dc:format "CSV" ;
    dc:title "si_table_rel_abund" ;
    dcat:accessURL <https://data.nhm.ac.uk/dataset/a79a684f-fc60-4348-b619-34d61b3b31da/resource/8f5dda19-b743-473a-ac8d-996b36366b06> .