cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/wm3dgm/rrelmq
title: cecr1b-LoF (3).tif
DOI: 10.13140/rg.2.2.11232.34569
title: 243Am(n,F) up to 200 MeV
DOI: 10.13130/rd_unimi/wm3dgm/lsztec
title: cecr1b-LoF (20).tif
DOI: 10.13130/rd_unimi/wm3dgm/4rxf1m
title: cecr1b-LoF+tnfaMO (6).tif
DOI: 10.13130/rd_unimi/wm3dgm/lzw8pz
title: cecr1b-LoF (16).tif
DOI: 10.13130/rd_unimi/wm3dgm/b9htee
title: image0047.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/oq9uij
title: cecr1b-LoF+tnfaMO (21).tif
DOI: 10.13130/rd_unimi/wm3dgm/tm0ydu
title: ctrl (8).tif
DOI: 10.13130/rd_unimi/wm3dgm/ius7sj
title: image0043.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/rti7dy
title: cecr1b-LoF (8).tif
DOI: 10.13130/rd_unimi/wm3dgm/wlmw9m
title: ctrl+tnfaMO (17).tif
DOI: 10.13130/rd_unimi/wm3dgm/eagksc
title: cecr1b-LoF+tnfaMO (29).tif
DOI: 10.13130/rd_unimi/wm3dgm/9hvvcu
title: ctrl (10).tif
DOI: 10.13130/rd_unimi/wm3dgm/cxbt7s
title: ctrl (1).tif
DOI: 10.13130/rd_unimi/wm3dgm/z0ihpi
title: cecr1b-LOF+tnfaMO (13).tif
DOI: 10.13130/rd_unimi/wm3dgm/9zuvpn
title: image0023.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/p3brky
title: image0006.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/zxxuhz
title: ctrl (3).tif
DOI: 10.13130/rd_unimi/wm3dgm/ohkrps
title: image0028.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/tua8su
title: image0012.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/5ymdoe
title: image0038.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/af1xtd
title: image0002.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/drmiwb
title: ctrl+tnfaMO (22).tif
DOI: 10.13130/rd_unimi/wm3dgm/fhikju
title: image0002.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/ijlnkn
title: cecr1b-LoF+tnfaMO (1).tif
DOI: 10.13130/rd_unimi/wm3dgm/zafei8
title: ctrl (25).tif
DOI: 10.13130/rd_unimi/wm3dgm/fsno9z
title: image0004.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/bfafbq
title: image0038.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/koj50h
title: image0022.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/z3quzi
title: cecr1b-LoF+tnfaMO (20).tif
DOI: 10.13130/rd_unimi/wm3dgm/xualdj
title: image0019.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/mtegyt
title: image0037.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/irzhau
title: cecr1b-LoF+tnfaMO (31).tif
DOI: 10.13130/rd_unimi/wm3dgm/ni57nm
title: image0005.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/bllblv
title: image0019.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/3njufs
title: cecr1b-LoF (8).tif
DOI: 10.13130/rd_unimi/wm3dgm/5cuheq
title: ctrl (22).tif
DOI: 10.13130/rd_unimi/wm3dgm/n1uimi
title: image0021.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/dlfjgj
title: cecr1b-LoF+tnfaMO (15).tif
DOI: 10.13130/rd_unimi/wm3dgm/rtcb49
title: cecr1b-LoF+tnfaMO (7).tif
DOI: 10.13130/rd_unimi/wm3dgm/2fjeoo
title: image0023.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/li8kpd
title: image0017.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/m9aukq
title: ctrl+tnfaMO (12).tif
DOI: 10.13130/rd_unimi/wm3dgm/kkldxu
title: ctrl+tnfaMO (16).tif
DOI: 10.13130/rd_unimi/wm3dgm/7ofezl
title: image0014.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/abxkl7
title: image0047.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/kl5ntt
title: image0042.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/uvizsd
title: ctrl+tnfaMO (1).tif
DOI: 10.13130/rd_unimi/wm3dgm/l2l4el
title: image0036.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/hrgixf
title: image0024.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/wsgrjv
title: image0019.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/0ufsrr
title: image0011.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/b4lvpb
title: image0028.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/ehqmbv
title: image0014.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/omicsc
title: cecr1b-LoF (11).tif
DOI: 10.13130/rd_unimi/wm3dgm/rflkdf
title: ctrl+tnfaMO (38).tif
DOI: 10.13130/rd_unimi/wm3dgm/qz1fhg
title: cecr1b-LoF+tnfaMO (15).tif
DOI: 10.13130/rd_unimi/wm3dgm/ertsil
title: image0016.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/rgnjvm
title: cecr1b-LoF (25).tif
DOI: 10.15468/dl.yscycu
title: Occurrence Download

description: A dataset listing the 5776 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "InstitutionKey is not null",
 "CollectionKey is not null"
 ]
 },
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Tracheophyta [GBIF Backbone Taxonomy])",
 "Country is one of (Azerbaijan)"
 ]
 }
 ]
}

 The dataset's 5776 records were derived from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039835-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/wm3dgm/4sqnwb
title: cecr1b-LOF+tnfaMO (15).tif
DOI: 10.13130/rd_unimi/wm3dgm/wk3bsf
title: ctrl+tnfaMO (14).tif
DOI: 10.13130/rd_unimi/wm3dgm/ytf5cd
title: cecr1b-LoF (39).tif
DOI: 10.13130/rd_unimi/wm3dgm/x12gpj
title: cecr1b-LoF (5).tif
DOI: 10.13130/rd_unimi/wm3dgm/ftzygc
title: ctrl (8).tif
DOI: 10.13130/rd_unimi/wm3dgm/klixsp
title: cecr1b-LoF+tnfaMO (4).tif
DOI: 10.13130/rd_unimi/wm3dgm/htmlav
title: image0020.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/9unh6m
title: image0030.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/ppt7xh
title: image0008.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/avigyt
title: cecr1b-LoF (2).tif
DOI: 10.13130/rd_unimi/wm3dgm/xnp3sn
title: cecr1b-LoF+tnfaMO (1).tif
DOI: 10.13130/rd_unimi/wm3dgm/zdawgp
title: ctrl (26).tif
DOI: 10.13130/rd_unimi/wm3dgm/ujsdf5
title: cecr1b-LoF (28).tif
DOI: 10.13130/rd_unimi/wm3dgm/wpijiq
title: image0045.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/2o40qc
title: cecr1b-LoF+tnfaMO (26).tif
DOI: 10.13130/rd_unimi/wm3dgm/ib64o7
title: cecr1b-LoF+tnfaMO (15).tif
DOI: 10.13130/rd_unimi/wm3dgm/67ap4t
title: ctrl (15).tif
DOI: 10.13130/rd_unimi/wm3dgm/wwcten
title: cecr1b-LoF (12).tif
DOI: 10.13130/rd_unimi/wm3dgm/rg4lxx
title: image0031.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/jaodpv
title: ctrl (20).tif
DOI: 10.13130/rd_unimi/wm3dgm/uidt7n
title: image0035.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/g6od94
title: ctrl (2).tif
DOI: 10.13130/rd_unimi/wm3dgm/rh6xos
title: cecr1b-LoF (1).tif
DOI: 10.13130/rd_unimi/wm3dgm/chglaw
title: image0039.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/cxhvbh
title: ctrl+tnfaMO (8).tif
DOI: 10.13130/rd_unimi/wm3dgm/kzxuas
title: cecr1b-LoF+tnfaMO (25).tif
DOI: 10.13130/rd_unimi/wm3dgm/ivgfua
title: image0025.tif.anx
DOI: 10.15468/pkxkgd
title: PELD - PNCA | Dados da ocorrência de plantas lenhosas em uma cronossequência em área de Caatinga, Parque Nacional do Catimbau, Buíque, PE, Brasil

description: O levantamento florístico representa a listagem da ocorrência de espécies lenhosas (exceto lianas) nas parcelas permanentes vinculadas ao PELD Catimbau, entre os anos de 2014 e 2015.

Especificamente aqui apresentamos o inventário das espécies lenhosas inventariadas em 15 parcelas que representam uma cronossequência após o abandono do uso da terra para fins agrícolas.
DOI: 10.13130/rd_unimi/wm3dgm/wvbye3
title: image0011.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/yxzjcy
title: image0022.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/yt35ae
title: ctrl (3).tif
DOI: 10.13130/rd_unimi/wm3dgm/fmpfo1
title: image0007.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/hzwohl
title: cecr1b-LoF+tnfaMO (9).tif
DOI: 10.13130/rd_unimi/wm3dgm/xcwsty
title: cecr1b-LoF (9).tif
DOI: 10.13130/rd_unimi/wm3dgm/ojxwfx
title: cecr1b-LoF+tnfaMO (33).tif
DOI: 10.5281/zenodo.14207480
title: Rediscovery of the greater chestnut weevil highlights the power of digital platforms in biodiversity research and conservation
DOI: 10.13130/rd_unimi/wm3dgm/giagiz
title: cecr1b-LoF (37).tif
DOI: 10.13130/rd_unimi/wm3dgm/5lmfx9
title: ctrl (12).tif
DOI: 10.13130/rd_unimi/wm3dgm/pwzeeh
title: image0032.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/acdzmn
title: ctrl (11).tif
DOI: 10.13130/rd_unimi/wm3dgm/nixkya
title: image0016.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/zqm7no
title: ctrl+tnfaMO (36).tif
DOI: 10.13130/rd_unimi/wm3dgm/abkwzv
title: cecr1b-LOF+tnfaMO (9).tif
DOI: 10.13130/rd_unimi/wm3dgm/20pihe
title: image0039.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/8rxdvc
title: ctrl (16).tif
DOI: 10.13130/rd_unimi/wm3dgm/0kf0xm
title: image0019.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/iwtwck
title: image0005.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/0s1vqi
title: cecr1b-LoF (6).tif
DOI: 10.13130/rd_unimi/wm3dgm/htfnho
title: ctrl+tnfaMO (29).tif
DOI: 10.13130/rd_unimi/wm3dgm/9f12fy
title: image0005.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/ibloks
title: image0046.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/dnurjp
title: ctrl+tnfaMO (14).tif
DOI: 10.13130/rd_unimi/wm3dgm/qlv713
title: image0010.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/xae80p
title: image0036.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/knc0nv
title: cecr1b-LoF (33).tif
DOI: 10.13130/rd_unimi/wm3dgm/ggbgrf
title: cecr1b-LoF (5).tif
DOI: 10.13130/rd_unimi/wm3dgm/lykef8
title: cecr1b-LoF+tnfaMO (4).tif
DOI: 10.13130/rd_unimi/wm3dgm/wctf6o
title: cecr1b-LoF+tnfaMO (2).tif
DOI: 10.13130/rd_unimi/wm3dgm/ljmmcc
title: cecr1b-LoF (11).tif
DOI: 10.13130/rd_unimi/wm3dgm/vlaalv
title: ctrl (22).tif
DOI: 10.13130/rd_unimi/wm3dgm/bpljcu
title: ctrl+tnfaMO (9).tif
DOI: 10.13130/rd_unimi/wm3dgm/jrlnnp
title: image0022.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/wbfiwo
title: image0004.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/wr86vw
title: ctrl (3).tif
DOI: 10.13130/rd_unimi/wm3dgm/enw4iq
title: image0045.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/vy2y5p
title: cecr1b-LoF (17).tif
DOI: 10.13130/rd_unimi/wm3dgm/0nzcw3
title: image0019.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/l4nrno
title: ctrl (39).tif
DOI: 10.13130/rd_unimi/wm3dgm/xr8ija
title: image0029.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/tu6ezc
title: ctrl+tnfaMO (46).tif
DOI: 10.13130/rd_unimi/wm3dgm/2e3tfh
title: image0005.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/m4prnk
title: ctrl (5).tif
DOI: 10.13130/rd_unimi/wm3dgm/hvxgnr
title: ctrl (24).tif
DOI: 10.5281/zenodo.15423764
title: Data file of the article: Extensive vineyard management and semi-natural habitats increase biodiversity and ecosystem services: insights from a global meta-analysis

description: This Exel file includes the effect size dataset used for the statistical analysis for the paper "Extensive vineyard management and semi-natural habitats increase biodiversity and ecosystem services: insights from a global meta-analysis", which was published in the Journal of Environmental Management.

In addition, the corresponding R code is provided.

This meta-analysis was funded by the research project SECBIVIT, which was funded through the 2017-2018 Belmont Forum and BiodivERsA joint call for research proposals, under the BiodivScen ERA-Net COFUND program, with the funding organizations: Agencia Estatal de Investigación (Ministerio de ciencia e innovación/ES/Grant #10.13039/501100011033), Austrian Science Fund (AT/Grant #I 4025-B32), Federal Ministry of Education and Research and Projektträger VDI/VDE Innovation + Technik GmbH (DE), French National Research Agency (FR), Netherlands Organisation for Scientific Research (NL), National Science Foundation (US/Grant #1850943) and Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding (RO).
DOI: 10.5281/zenodo.15423765
title: Data file of the article: Extensive vineyard management and semi-natural habitats increase biodiversity and ecosystem services: insights from a global meta-analysis

description: This Exel file includes the effect size dataset used for the statistical analysis for the paper "Extensive vineyard management and semi-natural habitats increase biodiversity and ecosystem services: insights from a global meta-analysis", which was published in the Journal of Environmental Management.

In addition, the corresponding R code is provided.

This meta-analysis was funded by the research project SECBIVIT, which was funded through the 2017-2018 Belmont Forum and BiodivERsA joint call for research proposals, under the BiodivScen ERA-Net COFUND program, with the funding organizations: Agencia Estatal de Investigación (Ministerio de ciencia e innovación/ES/Grant #10.13039/501100011033), Austrian Science Fund (AT/Grant #I 4025-B32), Federal Ministry of Education and Research and Projektträger VDI/VDE Innovation + Technik GmbH (DE), French National Research Agency (FR), Netherlands Organisation for Scientific Research (NL), National Science Foundation (US/Grant #1850943) and Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding (RO).
DOI: 10.13130/rd_unimi/wm3dgm/k0hjdp
title: image0044.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/w3e3ww
title: image0040.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/0i3wpj
title: cecr1b-LoF (22).tif
DOI: 10.13130/rd_unimi/wm3dgm/s7ighs
title: image0003.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/shyibv
title: image0007.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/4maasl
title: image0002.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/9bw22x
title: image0035.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/oejy4s
title: cecr1b-LoF+tnfaMO (5).tif
DOI: 10.13130/rd_unimi/wm3dgm/p7sogb
title: cecr1b-LoF+tnfaMO (17).tif
DOI: 10.13130/rd_unimi/wm3dgm/42nmok
title: ctrl (4).tif
DOI: 10.13130/rd_unimi/wm3dgm/ujchum
title: ctrl+tnfaMO (10).tif
DOI: 10.13130/rd_unimi/wm3dgm/s5b301
title: image0045.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/qmfcsu
title: image0046.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/xeuzda
title: image0038.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/q7x64w
title: image0020.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/njh1zs
title: image0040.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/svi3ei
title: image0030.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/l5cbwz
title: cecr1b-LoF (13).tif
DOI: 10.13130/rd_unimi/wm3dgm/m6fw6o
title: cecr1b-LoF+tnfaMO (8).tif
DOI: 10.13130/rd_unimi/wm3dgm/cvvm0e
title: cecr1b-LoF+tnfaMO (9).tif
DOI: 10.13130/rd_unimi/wm3dgm/geaihi
title: ctrl (15).tif
DOI: 10.13130/rd_unimi/wm3dgm/vicjfz
title: cecr1b-LoF (38).tif
DOI: 10.13130/rd_unimi/wm3dgm/6euxeh
title: cecr1b-LoF (8).tif
DOI: 10.15468/dl.krxcjn
title: Occurrence Download

description: A dataset containing 892 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-980.0",
 "TaxonKey is Egeria densa"
 ]
}

 The dataset includes 892 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039843-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/wm3dgm/5rpgw4
title: cecr1b-LoF+tnfaMO (28).tif
DOI: 10.13130/rd_unimi/wm3dgm/82wsgf
title: image0011.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/foaolm
title: cecr1b-LOF+tnfaMO (4).tif
DOI: 10.13130/rd_unimi/wm3dgm/xpnbbh
title: image0008.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/gu7txz
title: image0031.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/eyspml
title: image0011.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/3fxdtm
title: image0004.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/56sgie
title: image0026.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/3cznv5
title: cecr1b-LoF (34).tif
DOI: 10.13130/rd_unimi/wm3dgm/ox6gfi
title: image0016.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/mqqdvy
title: cecr1b-LoF+tnfaMO (13).tif
DOI: 10.13130/rd_unimi/wm3dgm/htiuzy
title: ctrl (6).tif
DOI: 10.13130/rd_unimi/wm3dgm/neze0b
title: image0021.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/lbxa0n
title: cecr1b-LoF+tnfaMO (12).tif
DOI: 10.13130/rd_unimi/wm3dgm/p6gxwf
title: image0039.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/dh6eok
title: image0020.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/84cder
title: image0037.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/ft0eyc
title: ctrl (18).tif
DOI: 10.13130/rd_unimi/wm3dgm/g6cd95
title: ctrl (25).tif
DOI: 10.13130/rd_unimi/wm3dgm/tea7e6
title: ctrl+tnfaMO (13).tif
DOI: 10.13130/rd_unimi/wm3dgm/swe7aw
title: image0013.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/tphuxu
title: ctrl (15).tif
DOI: 10.13130/rd_unimi/wm3dgm/knfcdi
title: image0045.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/pug2yh
title: image0002.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/jnzq0r
title: qPCR.pzfx
DOI: 10.13130/rd_unimi/wm3dgm/vifzic
title: image0001.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/iniyuu
title: cecr1b-LoF (14).tif
DOI: 10.13130/rd_unimi/wm3dgm/fk2get
title: ctrl+tnfaMO (17).tif
DOI: 10.13130/rd_unimi/wm3dgm/qcjlo1
title: image0018.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/ir1hat
title: cecr1b-LoF+tnfaMO (30).tif
DOI: 10.13130/rd_unimi/wm3dgm/jw9aet
title: ctrl (40).tif
DOI: 10.13130/rd_unimi/wm3dgm/bbldno
title: image0044.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/pfmgds
title: image0015.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/wugm69
title: cecr1b-LoF+tnfaMO (6).tif
DOI: 10.13130/rd_unimi/wm3dgm/ekodtf
title: cecr1b-LoF (18).tif
DOI: 10.13130/rd_unimi/wm3dgm/smgsa8
title: ctrl (20).tif
DOI: 10.13130/rd_unimi/wm3dgm/rhbddu
title: image0012.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/arpvdi
title: cecr1b-LoF+tnfaMO (16).tif
DOI: 10.13130/rd_unimi/wm3dgm/s6eoxx
title: cecr1b-LoF+tnfaMO (10).tif
DOI: 10.13130/rd_unimi/wm3dgm/vvyi3b
title: cecr1b-LoF (1).tif
DOI: 10.13130/rd_unimi/wm3dgm/siukzc
title: image0003.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/tp46k5
title: image0029.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/1qzsgv
title: cecr1b-LoF (25).tif
DOI: 10.13130/rd_unimi/wm3dgm/ui2wlp
title: image0002.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/z81lxd
title: ctrl (7).tif
DOI: 10.13130/rd_unimi/wm3dgm/kmgch1
title: image0029.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/nsl0ee
title: ctrl+tnfaMO (23).tif
DOI: 10.13130/rd_unimi/wm3dgm/ycdn0y
title: image0029.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/bj4aoc
title: ctrl+tnfaMO (30).tif
DOI: 10.13130/rd_unimi/wm3dgm/mbpyw7
title: image0006.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/kkb6y7
title: cecr1b-LoF+tnfaMO (11).tif
DOI: 10.13130/rd_unimi/wm3dgm/uhaull
title: ctrl (22).tif
DOI: 10.13130/rd_unimi/wm3dgm/h1xhz8
title: image0045.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/mshcwh
title: image0010.tif.eax
DOI: 10.13130/rd_unimi/wm3dgm/qppexw
title: ctrl (10).tif
DOI: 10.13130/rd_unimi/wm3dgm/sbpmwe
title: image0044.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/nzr3wi
title: image0022.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/xmauan
title: cecr1b-LoF (7).tif
DOI: 10.13130/rd_unimi/wm3dgm/emh0d0
title: cecr1b-LoF+tnfaMO (18).tif
DOI: 10.13130/rd_unimi/wm3dgm/j08zko
title: cecr1b-LoF+tnfaMO (23).tif
DOI: 10.13130/rd_unimi/wm3dgm/9voy9h
title: image0025.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/6fuedr
title: cecr1b-LoF (1).tif
DOI: 10.6084/m9.figshare.30642661
title: Oxygen, strontium, and sulfur isotopes in modern deer bone from Virginia, USA: a model for geographic location in east coast North America

description: Understanding movements of animals and people in modern or historic contexts is hindered by limited animal tissue proxies to indicate regional origins. On North America’s east coast, stable oxygen and hydrogen isoscapes provide broad latitudinal proxies, but more nuanced geographical proxies are lacking. This study examines oxygen, strontium, and sulfur isotopes in deer bone bioapatite and collagen from Virginia, USA, which reflects grazing location, to create the first robust δ<sup>34</sup>S<sub>collagen</sub> distribution in this region, contribute new <sup>87</sup>Sr/<sup>86</sup>Sr<sub>bone</sub> data to a currently small regional dataset, consider δ<sup>18</sup>O<sub>bioapatite</sub> values on a more nuanced scale, determine which isotope systems best indicate particular regions, and especially consider the efficacy of δ<sup>34</sup>S<sub>collagen</sub> for geographic location. Random forest models show longitudinal trends in δ<sup>18</sup>O<sub>bioapatite</sub> and <sup>87</sup>Sr/<sup>86</sup>Sr<sub>bone</sub> data; δ<sup>34</sup>S<sub>collagen</sub> values were more variable across Virginia with unique values in specific areas. Model results suggest δ<sup>18</sup>O<sub>bioapatite</sub> values are most affected by geomorphic and meteorological controls, specifically altitude effects of the Appalachian Mountains, aridity, and mean annual temperature. The <sup>87</sup>Sr/<sup>86</sup>Sr<sub>bone</sub> ratios are controlled largely by underlying bedrock geology, allochthonous dust and sea spray deposition, and surface source mixing. The western coal-bearing formations of the Appalachian Plateau showed relatively low δ<sup>34</sup>S<sub>collagen</sub> values; the eastern Coastal Plains showed relatively high δ<sup>34</sup>S<sub>collagen</sub> resulting from dust and sea spray deposition. Modeled proxies for modern anthropogenic inputs of these elements (e.g. fossil fuels) notably were not strong controlling factors for these isotope systems; therefore, the models produced here are suitable for identification of geographic location using bone isotope values from modern, historic, or paleontological samples. Linear discriminant analysis suggests A multi-isotope approach using δ<sup>18</sup>O<sub>bioapatite</sub>, <sup>87</sup>Sr/<sup>86</sup>Sr<sub>bone</sub>, and δ<sup>34</sup>S<sub>collagen</sub> data provides a more nuanced geographic prediction than one isotope system alone in this region. The δ<sup>34</sup>S<sub>collagen</sub> values in particular are emerging as a potential new proxy to indicate broad east–west movements of animals and people.
DOI: 10.6084/m9.figshare.30642661.v1
title: Oxygen, strontium, and sulfur isotopes in modern deer bone from Virginia, USA: a model for geographic location in east coast North America

description: Understanding movements of animals and people in modern or historic contexts is hindered by limited animal tissue proxies to indicate regional origins. On North America’s east coast, stable oxygen and hydrogen isoscapes provide broad latitudinal proxies, but more nuanced geographical proxies are lacking. This study examines oxygen, strontium, and sulfur isotopes in deer bone bioapatite and collagen from Virginia, USA, which reflects grazing location, to create the first robust δ<sup>34</sup>S<sub>collagen</sub> distribution in this region, contribute new <sup>87</sup>Sr/<sup>86</sup>Sr<sub>bone</sub> data to a currently small regional dataset, consider δ<sup>18</sup>O<sub>bioapatite</sub> values on a more nuanced scale, determine which isotope systems best indicate particular regions, and especially consider the efficacy of δ<sup>34</sup>S<sub>collagen</sub> for geographic location. Random forest models show longitudinal trends in δ<sup>18</sup>O<sub>bioapatite</sub> and <sup>87</sup>Sr/<sup>86</sup>Sr<sub>bone</sub> data; δ<sup>34</sup>S<sub>collagen</sub> values were more variable across Virginia with unique values in specific areas. Model results suggest δ<sup>18</sup>O<sub>bioapatite</sub> values are most affected by geomorphic and meteorological controls, specifically altitude effects of the Appalachian Mountains, aridity, and mean annual temperature. The <sup>87</sup>Sr/<sup>86</sup>Sr<sub>bone</sub> ratios are controlled largely by underlying bedrock geology, allochthonous dust and sea spray deposition, and surface source mixing. The western coal-bearing formations of the Appalachian Plateau showed relatively low δ<sup>34</sup>S<sub>collagen</sub> values; the eastern Coastal Plains showed relatively high δ<sup>34</sup>S<sub>collagen</sub> resulting from dust and sea spray deposition. Modeled proxies for modern anthropogenic inputs of these elements (e.g. fossil fuels) notably were not strong controlling factors for these isotope systems; therefore, the models produced here are suitable for identification of geographic location using bone isotope values from modern, historic, or paleontological samples. Linear discriminant analysis suggests A multi-isotope approach using δ<sup>18</sup>O<sub>bioapatite</sub>, <sup>87</sup>Sr/<sup>86</sup>Sr<sub>bone</sub>, and δ<sup>34</sup>S<sub>collagen</sub> data provides a more nuanced geographic prediction than one isotope system alone in this region. The δ<sup>34</sup>S<sub>collagen</sub> values in particular are emerging as a potential new proxy to indicate broad east–west movements of animals and people.
DOI: 10.13130/rd_unimi/wm3dgm/0x3cel
title: image0035.tif.thb
DOI: 10.13130/rd_unimi/wm3dgm/dsuyha
title: image0029.tif.cal.xml
DOI: 10.13130/rd_unimi/wm3dgm/k8coe4
title: cecr1b-LoF (2).tif
DOI: 10.13130/rd_unimi/wm3dgm/6luusf
title: ctrl+tnfaMO (25).tif
DOI: 10.13130/rd_unimi/wm3dgm/pqnq6n
title: image0006.tif.anx
DOI: 10.13130/rd_unimi/wm3dgm/aa9cbu
title: image0043.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/eyvnrx
title: image0006.tif.sbx
DOI: 10.13130/rd_unimi/wm3dgm/aekjm4
title: image0041.tif.thb