Bibliography Report

Author
Affiliation

Rainer M. Krug

University of Zürich

Abstract

Reports analysing the IPBES Libraries on Zotero.

Introduction

This report assesses the IAS Bibliography in regards to different measures and shows some information of the content. It does not assess the content of the sources but rather the bibliometric data.

Bibliographic analysis

In most cases, the bibliographic analysis is done on the OpenAlex library. In some cases, we can also do it using the Zenodo data. This is mentioned in the beginning of each subsection

Publication types

Analysis: Zenodo and OpenAlex

OpenAlex and Zotero use different tyoes. These are not directly compable, which is whu=y both are shown.

Show the code 
bib_data$figure_types_data |>
  dplyr::arrange(
    from,
    desc(count)
  ) |>
  knitr::kable(
    caption = "Types of documents from the Zotero bibliography as well as from OpenApex."
  )
Types of documents from the Zotero bibliography as well as from OpenApex.
type count from
article 3423 OpenAlex
review 119 OpenAlex
preprint 13 OpenAlex
dataset 10 OpenAlex
book-chapter 6 OpenAlex
book 2 OpenAlex
other 2 OpenAlex
journalArticle 4157 Zotero
bookSection 305 Zotero
book 244 Zotero
report 236 Zotero
webpage 97 Zotero
conferencePaper 83 Zotero
document 67 Zotero
annotation 19 Zotero
thesis 15 Zotero
dataset 12 Zotero
blogPost 9 Zotero
preprint 2 Zotero
magazineArticle 1 Zotero
newspaperArticle 1 Zotero
presentation 1 Zotero
videoRecording 1 Zotero
Show the code 
bib_data$figure_types

Zenodo versus OpenAlex Types

Analysis: Zenodo and OpenAlex

The types entered in the Zenodo library and the types as retrieved from OpenAlex are not linked, therefore they can differ. This can indicate faulty data entering in Zenodo but not necessarily has to. These cases need to be carefully evaluated and here only given as a starting point.

NA in OpenAlex is likely caused by the doi not found in OpenAlex (not in there, not valid, non-standard DOI in Zenodo). NA in Zotero is linked to non-standard DOI entries (i.e. with http) which can therefore not be linked to OpenAlex data. If all DOIs are in standard format, there should be no NAs in this Table in the column Ferom Zenodo.

TODO: Improvements should be done after feedback.

Show the code 
bib_data$metrics$types$comparison |>
  knitr::kable(
    col.names = c("Type from Zenodo", "Type from [OpenAlex](https://OpenAlex.org){target='_blank'}", "count"),
    caption = "Table giving the combination of types from Zenodo as well as [OpenAlex](https://OpenAlex.org){target='_blank'} and their frequency"
  )
Table giving the combination of types from Zenodo as well as OpenAlex and their frequency
Type from Zenodo Type from OpenAlex count
journalArticle article 3081
journalArticle NA 952
NA article 339
bookSection NA 305
book NA 244
report NA 236
journalArticle review 111
webpage NA 97
conferencePaper NA 74
document NA 67
annotation NA 19
thesis NA 15
dataset NA 12
blogPost NA 9
journalArticle preprint 8
NA dataset 8
NA review 8
conferencePaper article 5
conferencePaper book-chapter 3
preprint preprint 2
journalArticle dataset 2
journalArticle other 2
journalArticle book 2
NA book-chapter 2
NA preprint 2
presentation NA 1
videoRecording NA 1
journalArticle book-chapter 1
magazineArticle NA 1
conferencePaper preprint 1
newspaperArticle NA 1

Year of Publication

Analysis: Zenodo and OpenAlex

The following ranges of publication years can be found in the data.

Show the code 
bib_data$figure_pub_year_data |>
  dplyr::summarize(
    min = min(publication_year, na.rm = TRUE),
    max = max(publication_year, na.rm = TRUE),
    .by = c(from)
  ) |>
  knitr::kable()
from min max
Zenodo 1839 2023
OpenAlex 1966 2023
Show the code 
bib_data$figure_pub_year
Warning: Removed 1 row containing missing values or values outside the scale range
(`geom_col()`).

Access Status of References

Analysis: OpenAlex

Show the code 
bib_data$figure_oa_status

50 Most often cited Journals

Analysis: Zenodo

TODO: OpenAlex should be added

Show the code 
bib_data$figure_top_journals

This table contains all Journals as specified in the Zotero database.

Show the code 
bib_data$figure_top_journals_data |>
  IPBES.R::table_dt("cited_journals")

Coutries of Institutes of all authors

Analysis: OpenAlex

In this section we will take a closer look at the countries from which ih the authors ot the publication come. THe data includes all authoirs without weighting.

Show the code 
#|
#| fig-height: 10
#| fig-width: 10

bib_data$figure_top_country_map

This plot only contains the countries with more than 10 references.

Show the code 
#|
#| fig-height: 10
#| fig-width: 10

bib_data$figure_top_country

This table contains all countries and the number of authorship.

Show the code 
bib_data$figure_top_country_data |>
  IPBES.R::table_dt("top_countries")

Cleanliness of the Bibliography

Cleanliness of a bibliography is defined here as the quality of the bibliografic data in the bibliography. It does not concern any topical measures, only measures related to the bibliografic data in the bibliography.

The analysis is at the moment only done for DOIs as corresponding measures are not available at the moment for ISBNs and ISSNs and duplicate ISBNs and ISSNs can be rcorrect as different chapters of a book might be in the bibliography.

Entries with DOIs, ISBNs or ISSNs in Zotero

To identify a reference, the most widely used identifier is the DOI. The following table shows the number of references with a DOI and the number of unique DOIs.

To consider duplicate ISBNs or ISSNs as duplicates entries in the library is not waranted as e.g. differenc chapters of a book can be separate entries in the library and therefore lead to duplicates.

  • DOIs: 3863 (73.58%) - 4 duplicates
  • ISBNss: 453 (8.63%)
  • ISBNss: 3301 (62.88%)

DOIs in Zotero

The following sections provide some more detailed analysis of the bibliography in Zenodo. The tables all contain clickable links which, shwen clicked, show the respective article in the Zotero bibliograpohy.

Duplicates

The following DOIs are duplicates in the bibliography. This table should be empty.

Show the code 
if (length(bib_data$metrics$zotero_dois$duplicate) > 0) {
  data.frame(
    doi = bib_data$metrics$zotero_dois$duplicate,
    link = paste0(bib_data$bibliography$url, "/items/", names(bib_data$metrics$zotero_dois$duplicate))
  ) |>
    dplyr::mutate(
      sort = doi,
      doi = paste0('<a href="', link, '" target="_blank">', doi, "</a>"),
    ) |>
    dplyr::arrange(
      sort
    ) |>
    dplyr::mutate(
      sort = NULL
    ) |>
    knitr::kable(
      caption = "DOIs in Zenodo which are duplicated",
      escape = FALSE
    )
}
DOIs in Zenodo which are duplicated
doi link
DNQGDYCT 10.1111/emr.12464 https://www.zotero.org/groups/2352922/items/DNQGDYCT
BKJZTSZS 10.1111/emr.12464 https://www.zotero.org/groups/2352922/items/BKJZTSZS
ERCRVI2L 10.1111/mam.12277 https://www.zotero.org/groups/2352922/items/ERCRVI2L
BW28LAD5 10.1111/mam.12277 https://www.zotero.org/groups/2352922/items/BW28LAD5

Non Standard

All DOIs should be given as only the DOI without the resolver, i.e. not starting with http. The following table shows all entries which do have a non-conform DOI:

Show the code 
#|

http <- grep("http", bib_data$metrics$zotero_dois$id_raw)
data.frame(
  doi = bib_data$metrics$zotero_dois$id_raw[http],
  link = paste0(bib_data$bibliography$url, "/items/", names(bib_data$metrics$zotero_dois$id_raw)[http])
) |>
  dplyr::mutate(
    doi = paste0('<a href="', link, '" target="_blank">', doi, "</a>"),
    link = NULL
  ) |>
  knitr::kable(
    caption = "DOIs in Zenodo which include a `http`",
    escape = FALSE
  )
DOIs in Zenodo which include a http
doi
4JHQ9XWE https://doi.org/10.1111/j.1461-0248.2007.01067.x
GYGADVID http://dx.doi.org/10.3354/meps243111
QAYJCMTF https://doi.org/10.1111/jbi.13555
IS3C3LLP http://dx.doi.org/10.3897/neobiota.25.8613
UYIEZBW4 https://doi.org/10.1007/978-3-540-36920-2_20
PV4Q78VY https://doi.org/10.1016/j.tree.2011.06.013
P7YMTFFE https://doi.org/10.1890/1540-9295(2004)002[0131:BBWAAO]2.0.CO;2
LIACFMQL https://doi.org/10.3896/IBRA.1.50.1.02
BZ9DZNAB https://doi.org/10.1080/13657305.2021.1896604
WXJ7MDE7 https://doi.org/10.17161/randa.v23i2.14119
JVWAGNEX https://doi.org/10.1126/science.336.6085.1102-b
XPGMAJNK https://doi.org/10.1002/ffej.10044
5FMI7RIF https://doi.org/10.1002/aqc.1129
VR7RJBFJ https://doi.org/10.1016/j.gecco.2020.e01080
33P9295H https://doi.org/10.2307/40203478
YMQJX4SW https://doi.org/10.15517/rbt.v62i4.13231
EECUYPAW https://doi.org/10.1016/j.biocon.2013.11.003
ELAF7FIV https://doi.org/10.3897/neobiota.61.58380
8D9H2WHY https://doi.org/10.1007/s10530-011-9946-5
3MWGCWSD https://doi.org/10.1016/j.cosust.2015.05.008
RDSZSNGU http://dx.doi.org/10.1016/j.landurbplan.2016.01.007
DRNCYUQ5 https://doi.org/10.1111/j.1472-4642.2010.00652.x
5NAEENVG https://doi.org/10.3389/fevo.2020.576667
NBUJ6447 https://doi.org/10.1111/1365-2745.13419
SHBVHJRC https://doi.org/10.1016/j.biocontrol.2020.104503
GFLFSATK https://doi.org/10.1079/cabireviews202217006
SXSCHIRC https://doi.org/10.1007/s11600-018-0237-8
ZHZCEETV https://doi.org/10.11646/zootaxa.5039.4.7
K5U3QNCX https://doi.org/10.2305/IUCN.CH.2019.SSC-OP.62.en
YI5G6YAS https://doi.org/10.1111/mam.12176
TL2B76K7 https://doi.org/10.1111/mec.15788
DWQ67M5S http://dx.doi.org/10.2458/azu_rangelands_v25i6_frost
JBUPIVCG https://doi.org/10.1111/eea.12619
S7XIVDGH https://doi.org/10.1111/j.1365-2427.2009.02169.x
897ALY3S https://doi.org/10.1016/j.tree.2017.03.006
VPGVRIHQ https://doi.org/10.1111/j.1523-1739.2008.00937.x
QHVGP3F6 https://doi.org/10.1002/(SICI)1096-9063(199703)49:3%3C213::AID-PS516%3E3.0.CO;2-%23
ILULHK7I https://doi.org/10.1603/0022-0493-99.5.1550
RFZJRAIP https://doi.org/10.1111/ddi.12225
S59G4BKM https://doi.org/10.1007/s00338-019-01807-7
XNI357U5 https://doi.org/10.3897/neobiota.40.28840
X7689EJA https://doi.org/10.1038/nplants.2016.134
K8VYE8ZH https://doi.org/10.1016/j.gloenvcha.2021.102366
SQLNLGCP https://doi.org/10.1016/j.pt.2020.12.005
YFNHYQWN https://doi.org/10.1093/bjs/znab134.326
T8TUHC2X https://doi.org/10.1111/j.1600-0536.2008.01492.x
DFI8IIFH https://doi.org/10.1080/09670262.2017.1357084
SZEQ6H6Y https://doi.org/10.1016/j.jglr.2018.10.001
67BM7SIM https://doi.org/10.1016/j.aquaculture.2020.735711
G2UNJC68 https://doi.org/10.1016/j.ocecoaman.2020.105253
LCLHYMK8 https://doi.org/10.21203/rs.3.rs-389696/v1
MBB7FRZW https://doi.org/10.1111/cobi.12363
B5X9KCCL https://doi.org/10.2307/2402124
ACLGWPX2 https://doi.org/10.1890/0012-9658(2006)87[3109:CDGIAL]2.0.CO;2
7JYWTVAJ https://doi.org/10.1111/j.1442-9993.2005.01534.x
P67U9S2X https://conbio.onlinelibrary.wiley.com/doi/epdf/10.1111/j.1755-263X.2011.00164.x
DNLSQ82T https://doi.org/10.1111/j.1442-8903.2009.00457.x
SGSJCHZU https://doi.org/10.1071/WR18047
B7THTI48 https://doi.org/10.1016/j.jembe.2006.10.038
8L6HNXH4 https://doi.org/10.1080/15627020.2002.11657175
5QAT6DGU https://doi.org/10.1007/s00338-010-0684-4
T3BX4AC3 http://dx.doi.org/10.13140/2.1.3086.6888
4LG4MJRY https://doi.org/10.1371/journal.pone.0188386
8UHJYY79 https://doi.org/10.1007/s00227-020-03689-8
RHM9AX2U https://doi.org/10.1016/j.aquabot.2017.10.003
FP4DKY2K https://doi.org/10.1006/jmsc.2000.0736
SC7RSBEW https://doi.org/10.1007/s10530-011-9936-7
23G8IZVU https://doi.org/10.1080/15627020.2002.11657170
XQDMSZHG https://doi.org/10.1007/s10530-012-0336-4
8PUJSR9K https://doi.org/10.1093/plankt/fbq100
FDGXK7YL https://doi.org/10.1093/plankt/fbp021
P9CG6NTI https://doi.org/10.2989/1814232X.2020.1754908
T3T4SPZ9 https://doi.org/10.1016/j.jembe.2004.11.022
U3TUD6W7 https://doi.org/10.1080/00359199209520258
WEFIWLCJ https://doi.org/10.1007/s10750-009-9966-7
83BC59RT https://doi.org/10.3989/scimar.2007.71n1129
8G7RQIEA https://doi.org/10.1016/j.ecss.2006.02.011
MW63954I https://doi.org/10.1023/B:HYDR.0000029927.91756.41
IAE42VNS https://doi.org/10.1111/j.1095-8649.2004.00280.x
WXI2QFG6 https://doi.org/10.3354/meps09547
2GFWIKC9 https://link.springer.com/article/10.1007/s10530-012-0347-1
6W3IH3J6 https://doi.org/10.3989/scimar.2009.73n2329
MGHFTN66 https://doi.org/10.1093/mollus/eyl033
6JMYI2BG https://doi.org/10.1016/j.icesjms.2004.06.016
HRH329EB https://doi.org/10.1007/s10152-006-0027-6
ZEHEHA3Q https://doi.org/10.1093/icesjms/fsr126
W25JSSCI https://doi.org/10.1016/j.seares.2011.05.009
MTLSY8LQ http://dx.doi.org/10.3391/ai.2020.15.1.10
49CVNS7A https://doi.org/10.1111/maec.12642
ILDWLD9A https://doi.org/10.1080/17451000.2017.1333620
H3GSRBAC https://doi.org/10.1007/s10530-019-02072-z
4Y47DLQT https://doi.org/10.1007/s002270050538
8VQQ6493 https://doi.org/10.4319/lo.2011.56.2.0431
HY6GQSEA https://doi.org/10.1007/s10530-016-1268-1
NFY53E5U https://doi.org/10.1023/A:1013264400526
DMP6SVHW https://doi.org/10.1111/faf.12252
TF2JEPAT https://doi.org/10.1007/s10393-005-0012-6
UNGF7ATG https://doi.org/10.1098/rspb.2015.0120
YNYMGWP2 https://doi.org/10.1111/j.1523-1739.2009.01420.x
APAN3LYA https://doi.org/10.1016/j.mambio.2012.11.007
B9UB533V https://doi.org/10.1007/s10530-019-02122-6
KBSQ4K9F https://doi.org/10.1139/f91-305
9PXY3UNI https://doi.org/10.1111/eva.12367
THW9SZGX https://doi.org/10.1890/11-1740.1
6JRBUGKV http://dx.doi.org/10.1007/s10530-015-0874-7
52ESYBNT https://doi.org/10.1007/s10530-019-01955-5
QBSGZXXE https://doi.org/10.1007/s10641-006-9180-7
I6EF2DAE https://doi.org/10.1007/s10530-020-02436-w
YSZXIT87 https://doi.org/10.7589/0090-3558-42.3.479
6D23ABPX https://doi.org/10.1016/j.jglr.2016.07.027
QFBGJYGN https://doi.org/10.1093/jmedent/45.4.600
9X7NVWEY https://doi.org/10.1093/auk/119.4.929
VH3N3SXX https://doi.org/10.1111/j.1365-294X.2010.04849.x
8LZ4MLP4 https://doi.org/10.2984/70.3.3
LZVRF3ND https://doi.org/10.2984/69.1.5
GJTIH6JD https://doi.org/10.1093/ee/nvaa108
M2SUBPML https://doi.org/10.1111/gcb.15674
N3CRSZKE https://doi.org/10.1016/j.pt.2017.11.006
E8WAKN49 https://doi.org/10.2984/73.3.3
W2CNAMUJ https://doi.org/10.1017/S0954102017000487
IIASHSWG https://doi.org/10.1007/s00300-016-1985-z
RJL43IP6 https://doi.org/10.1016/j.baae.2018.02.003
U7DUR978 https://doi.org/10.1016/j.biocon.2013.03.024
XZYNTNN3 https://doi.org/10.1016/S0006-3207(97)00178-X
2VUVXJHP https://doi.org/10.1017/S0954102015000486
MA8B7P5R https://doi.org/10.1371/journal.pone.0047080
RMEVFV3X https://doi.org/10.1007/s10841-019-00147-9
EHH2Y2EQ https://doi.org/10.1016/j.tree.2018.12.008
MPPL9T5V https://doi.org/10.4141/cjps2012-128
KKQE2IRS https://doi.org/10.3390/biology10121322
DNQGDYCT https://doi.org/10.1111/emr.12464
49BXVTU4 https://doi.org/10.1080/10641260600886455
4Q8ELAGS https://doi.org/10.1007/s10530-008-9405-0
CIWKQTYU https://doi.org/10.1080/00288330.2004.9517252
2CRT5S5X https://doi.org/10.1067/mai.2000.105707
9G6252YK https://doi.org/10.1007/s10530-008-9392-1
R2BQGJE3 https://doi.org/10.1111/cobi.13180
GNZX3YWG https://doi.org/10.1016/j.tree.2023.01.006
GNG7XTF6 https://www.sciencedirect.com/science/article/abs/pii/S0169534709002018
DCAVAS5I https://doi.org/10.1111/j.1442-9993.2009.02000.x
I7KR2ZA7 https://doi.org/10.1659/mrd.0805
UR3AGXBB https://doi.org/10.1016/j.gloenvcha.2011.05.003
58ZEJ9PV https://doi.org/10.1111/twec.13187
T9I5R3N3 https://doi.org/10.1007/s41685-020-00179-z
A6BML947 https://doi.org/10.1111/j.1469-8137.2010.03277.x
ETLNKW94 https://doi.org/10.3389/fnbeh.2016.00077
Y3A37L9B http://dx.doi.org/10.5154/r.rchscfa.2020.03.011
FPIZHDWR https://doi.org/10.1086/702340
C4UZAUQ7 https://doi.org/10.1007/s10453-011-9230-2
MMSH9QRC https://doi.org/10.1111/ele.13090
HVU87CCU https://doi.org/10.2737/PSW-GTR-236
EVV3PBC5 https://doi.org/10.1139/er-2018-0071
JFACYUT8 https://doi.org/10.1002/fee.2160
9UKQNNUT https://doi.org/10.1016/S1095-6433(03)00242-3
PHIWD2WA https://doi.org/10.1111/j.1469-7998.1991.tb03792.x
S5HB9IK9 https://doi.org/10.1016/j.marenvres.2007.02.003
LJ3MPEVZ https://doi.org/10.1046/j.1365-2435.2002.00653.x
QM6AT47D https://doi.org/10.1111/j.1472-4642.2008.00538.x
88J7UERF https://doi.org/10.1515/botm.1990.33.3.241
J9ZEVM44 https://doi.org/10.1002/ps.4044
BKJZTSZS https://doi.org/10.1111/emr.12464
2N5A9KHU https://doi.org/10.1163/1937240X-00002204
RZQ8CYBD https://doi.org/10.1111/j.1469-8137.2010.03446.x
7HPJWEGG https://doi.org/10.1002/rra.2571
IB2Z237B https://doi.org/10.2307/3800238
ZNVEYZP2 https://doi.org/10.1016/j.marenvres.2008.06.002
BVLFEZD3 https://doi.org/10.1007/s10530-015-0852-0
VHU3PPAU https://doi.org/10.1007/s10530-020-02300-x
4HRI5ZAB https://doi.org/10.1007/s10530-014-0666-5
U7JC3DL5 https://doi.org/10.1111/j.1365-2664.2009.01751.x
7ZD4MLZT https://doi.org/10.1890/05-1991
4V4STE85 https://doi.org/10.1890/02-5002
CPIYLX9J https://doi.org/10.1139/cjfas-2018-0136
FF68BRT9 https://doi.org/10.1111/are.12986
3AB7UP7T https://doi.org/10.1016/j.tree.2011.05.008
6QPTYAZ7 https://doi.org/10.24266/0738-2898-21.3.137
TR4MK2E9 https://doi.org/10.1111/1365-2664.13820
6MC2NFAL https://doi.org/10.1111/gcb.12557
KBWZNR68 https://doi.org/10.1038/s41467-017-00626-0
BYNU2GQS https://doi.org/10.3391/ai.2017.12.1.11
QQ3ZNCC5 https://dx.doi.org/10.20417/nzjecol.43.23
Q24QQCQT https://doi.org/10.1016/j.jnc.2017.07.007
XU9UNGHX https://doi.org/10.1007/s10530-004-0740-5
3SE7VUQ3 https://doi.org/10.7931/J2/FNZ.38
XKZFX5U4 https://doi.org/10.1071/PC140094
374TJEJR https://doi.org/10.1111/nph.13107
XWF5CR36 https://doi.org/10.1111/ele.12355
QPRZLA8L https://doi.org/10.2307/2445896
PCRNAFI4 https://doi.org/10.1111/j.1365-2435.2007.01289.x
PGE7QD7S https://doi.org/10.1093/forestscience/45.1.74
URUPIKCF https://doi.org/10.1002/ecy.3474
SPS8ZRVC https://doi.org/10.1046/j.1365-2699.2002.00706.x
SUM7SVXT https://doi.org/10.1016/j.tree.2009.03.01
6DHT7CNR https://doi.org/10.1093/mnras/stt1458
AP6PDDCR https://doi.org/10.1890/1540-9295(2005)003[0495:TWOTRD]2.0.CO;2
YB2QDM5V https://doi.org/10.1111/j.1472-4642.2008.00521.x
QX8ILNFM https://doi.org/10.1111/j.1600-0706.2012.20673.x
P7V8CCU4 https://doi.org/10.1890/15-0171.1
57TT5BZ9 https://doi.org/10.1111/risa.12870
9DBJR3QX http://doi.org/10.1098/rspb.2020.077

Not Valid

Here we do acheck for the structural validity of the dois. This check needs to be improved. Of these 647 are not valid. These are:

Show the code 
#|

if (length(bib_data$metrics$zotero_dois$not_valid) > 0) {
  data.frame(
    doi = bib_data$metrics$zotero_dois$not_valid,
    link = paste0(bib_data$bibliography$url, "/items/", names(bib_data$metrics$zotero_dois$not_valid))
  ) |>
    dplyr::mutate(
      doi = paste0('<a href="', link, '" target="_blank">', doi, "</a>"),
      link = NULL
    ) |>
    knitr::kable(
      caption = "DOIs in Zenodo which ar not valid",
      escape = FALSE
    )
} else {
  print("All DOIs in Zenodo are valid.")
}
DOIs in Zenodo which ar not valid
doi
36NKRZYZ 10.1641/0006-3568(2002)052[0801:EEIINA]2.0.CO;2
P7YMTFFE 10.1890/1540-9295(2004)002[0131:BBWAAO]2.0.CO;2
8TEITQDU 10.1659/0276-4741(2006)026[0080:MANRNC]2.0.CO;2
836VV7XI 10.1641/0006-3568(2000)050[0239:TAGISF]2.3.CO;2
XBI9ZZ3B 10.1890/1540-9295(2005)003[0103:TTOTCR]2.0.CO;2
FWA4CJD8 10.1890/1540-9295(2006)004[0075:EACUDO]2.0.CO;2
NC4C4UVR 10.1641/0006-3568(2002)052[0464:Tgohnc]2.0.Co;2
NYTDRNS8 10.1890/1051-0761(2006)016[2035:BIRFUP]2.0.CO;2
FF5QVLTE 10.2111/1551-5028(2007)60[225:KAITPO]2.0.CO;2
RF6KDAH8 10.1890/1051-0761(2000)010[0689:BICEGC]2.0.CO;2
T4GQDS4Y 10.1890/1051-0761(2002)012[0927:AAMIIP]2.0.CO;2
QJUH6JCE 10.1579/0044-7447(2008)37[114:ECITBS]2.0.CO;2
SVAUY7BQ 10.1641/0006-3568(2004)054[0613:TGISIN]2.0.CO;2
PJ2U42NU 10.1641/0006-3568(2001)051[0095:HAGPDG]2.0.CO;2
X4PQSSSS 10.1890/1540-9295(2005)003[0071:BCOIAP]2.0.CO;2
SWNQTRGB 10.1614/0043-1745(2003)051[0247:EPIATO]2.0.CO;2
QMUJCAI5 10.4102/koedoe. v53i2.1049
YGZUYIXA 10.2981/0909-6396(2007)13[159:PCOCMC]2.0.CO;2
RHMHM7QA 10.1614/0043-1745(2000)048[0255:IWIRSI]2.0.CO;2
NZTBD2B9 10.1890/1540-9295(2006)4[428:LFAMIT]2.0.CO;2
QHVGP3F6 10.1002/(SICI)1096-9063(199703)49:3%3C213::AID-PS516%3E3.0.CO;2-%23
9NMFEPRL 10.1641/0006-3568(2004)054[0337:DDPBWF]2.0.CO;2
C6YEVH8M 10.1641/0006-3568(2002)052[0593:BMTACA]2.0.CO;2
PLG2LPDR 10.1641/0006-3568(2006)56[931:SAEITM]2.0.CO;2
FAWZTUAE 10.1890/1051-0761(2002)012[0618:ATATOU]2.0.CO;2
P3WI2WYU 10.1890/1540-9295(2005)003[0012:ISPMAF]2.0.CO;2
UR2MRQQM 10.1653/0015-4040(2007)90[723:AOOTRI]2.0.CO;2
QZ7UTL49 10.1641/0006-3568(2000)050[0053:EAECON]2.3.CO;2
ACLGWPX2 10.1890/0012-9658(2006)87[3109:CDGIAL]2.0.CO;2
P67U9S2X https://conbio.onlinelibrary.wiley.com/doi/epdf/10.1111/j.1755-263X.2011.00164.x
2GFWIKC9 https://link.springer.com/article/10.1007/s10530-012-0347-1
Y3V965JT 10.1002/1522-2632(200011)85:5/6<609::AID-IROH609>3.0.CO;2-S
9RKURUXK 10.1641/0006-3568(2003)053[0703:BAFSIT]2.0.CO;2
R7GPGV9H doi.org/10.2307/1311536
PJSTT35V 10.1641/0006-3568(2004)054[0321:TGDONM]2.0.CO;2
GNG7XTF6 https://www.sciencedirect.com/science/article/abs/pii/S0169534709002018
IFS8U8R3 10.1890/0012-9658(1999)080[2045:SLRACF]2.0.CO;2
EAY98IYC 10.1029/2011GL046583@10.1002/(ISSN)1944-8007.GRL40
NHW5MM48 doi.org/10.1023/A:1010090414598
XBMBJM6T doi.org/10.1038/26886
EGLBHEW9 10.1890/1540-9295(2007)5[365:ANGOCE]2.0.CO;2
ABXB2YE3 10.1371/ journal.pone.0111913
HU5AB4ZR 10.1093/aobpla/plv085
DVSZLWH6 10.1641/0006-3568(2005)055[0518:DRFIIL]2.0.CO;2
FYJYPZ7I annurev.es.23.110192.000431
MEWWU4ZQ 10.1111/j.1744-7429.201 0.00647.x
LWE6PBMS 10.1641/0006-3568(2004)054[0677:EOIAPO]2.0.CO;2
H3NKGIYL 10.1890/1540-9295(2003)001[0197:SODECA]2.0.CO;2
B4LKGDYS 10.1577/1548-8667(2000)012<0001:IVIAIP>2.0.CO;2
SCATM7WD 10.1645/0022-3395(2001)087[1366:TSNACI]2.0.CO;2
JC88EUMS 10.2983/0730-8000(2007)26[281:BAAESA]2.0.CO;2
6MV3NVAM 10.1890/1051-0761(2001)011[1750:ESITIS]2.0.CO;2
78WHBLJ3 10.1002/(SICI)1099-145X(199905/06)10:3<225::AID-LDR337>3.0.CO;2-T
8VEWQWK3 10.1659/0276-4741(2002)022[0159:IOPPOS]2.0.CO;2
ELNKKYYQ 10.1641/0006-3568(2003)053[0843:AMEASP]2.0.CO;2
G7F5FTVW 10.2984/1534-6188(2007)61[469:rroaao]2.0.co;2
MIV6DY5E 10.1890/1540-9295(2007)5[199:IASIAE]2.0.CO;2
GEAP9FT6 10.1641/0006-3568(2001)051[0103:HAAPOI]2.0.CO;2
U97B2QGL 10.1641/0006-3568(2005)055[0780:TOOTNP]2.0.CO;2
KSWSHRIZ 10.1890/1540-9295(2003)001[0307:BBAB]2.0.CO;2
3YHUAZSW 10.1641/0006-3568(2005)055[0335:SPFRTT]2.0.CO;2
AP6PDDCR 10.1890/1540-9295(2005)003[0495:TWOTRD]2.0.CO;2
ZEML3VIC 10.2984/1534-6188(2007)61[307:BAIOPI]2.0.CO;2
Z64YL7WL 10.1890/1540-9295(2007)5[153:IPIIAR]2.0.CO;2
FWWQ8TZG 10.1890/1540-9295(2004)002[0354:APFASI]2.0.CO;2
K55B5YBI 10.1890/1540-9295(2004)002[0265:TOOATI]2.0.CO;2

Not in OpenAlex

To validate the existence and validity of the DOIs, we check if the DOIs are in the OpenAlex database.

Of the 3863 unique DOIs in the library, 647 (16.75%) are in not in OpenAlex. This includes the non-valid DOIS, which are filtered out in the table below.

Show the code 
data.frame(
  doi = bib_data$metrics$zotero_dois$not_in_oa,
  link = paste0(bib_data$bibliography$url, "/items/", names(bib_data$metrics$zotero_dois$not_in_oa))
) |>
  dplyr::mutate(
    doi = paste0('<a href="', link, '" target="_blank">', doi, "</a>"),
    link = NULL
  ) |>
  knitr::kable(
    caption = "DOIs in Zenodo which ar not in [OpenAlex](https://OpenAlex.org){target='_blank'}",
    escape = FALSE
  )
DOIs in Zenodo which ar not in OpenAlex
doi
36NKRZYZ 10.1641/0006-3568(2002)052[0801:EEIINA]2.0.CO;2
4JHQ9XWE 10.1111/j.1461-0248.2007.01067.x
GYGADVID 10.3354/meps243111
3XCCATCT 10.2111/REM-D-09-00151.1
YBIQ59C7 10.1111/j.1365-294X.2011.05432.x
96JMLEEB 10.3197/096327114X13947900181031
FH3FMGIH 10.1111/2041-210X.12844
A4YQWPZU 10.5281/ZENODO.5562892
AGJPTGIV 10.1017/S0032247414000916
FCVNL7LU 10.1111/j.1466-822X.2006.00212.x
Q8M8CBR8 10.5751/ES-11583-250318
XIF4ZMCZ 10.1007/BF01579651
I2E6MVQB 10.5751/ES-09487-220401
9XIKAMDJ 10.1023/A:1014193329979
ERERLZTN 10.5281/ZENODO.5719431
9IYXL4BB 10.1080/0376835X.2011.570065
GKRHU9XM 10.1017/S003060531200124X
5FYKRWIE 10.1016/S2542-5196(19)30194-9
QAYJCMTF 10.1111/jbi.13555
QU5GAXV3 10.7882/AZ.2006.016
MV84B6PD 10.1017/S0376892907003815
D66YXVTW 10.1134/S2075111711040059
2ELAFJ42 10.3362/2041-7136.2010.014
S9UT4YR2 10.1017/S0376892908005146
GXMVVJX3 10.1094/PHYTO-105-7-0001
IS3C3LLP 10.3897/neobiota.25.8613
NAKFCHZ4 10.1016/B978-0-444-52272-6.00528-6
QZVRPZ7E 10.1007/BF01867529
UYIEZBW4 10.1007/978-3-540-36920-2_20
EGGVZ36N 10.1111/j.1365-294X.2012.05710.x
PV4Q78VY 10.1016/j.tree.2011.06.013
P7YMTFFE 10.1890/1540-9295(2004)002[0131:BBWAAO]2.0.CO;2
LIACFMQL 10.3896/IBRA.1.50.1.02
VVM256UK 10.1046/j.1466-822X.2002.00293.x
BZ9DZNAB 10.1080/13657305.2021.1896604
WXJ7MDE7 10.17161/randa.v23i2.14119
XVTTKW68 10.3161/15052249PJE2019.67.3.003
JVWAGNEX 10.1126/science.336.6085.1102-b
FTDLKZGP 10.2317/JKES805.27.1
GP3VIA54 10.1017/S0954102017000037
2UVAK7ZA 10.1094/PHYTO-95-0587
XPGMAJNK 10.1002/ffej.10044
5FMI7RIF 10.1002/aqc.1129
ZTQHU5YZ 10.21273/HORTSCI.19.1.168
KZIKXDSN 10.1641/B580102
LDUXNQQ7 10.1111/j.1526-100X.2009.00586.x
VR7RJBFJ 10.1016/j.gecco.2020.e01080
8TEITQDU 10.1659/0276-4741(2006)026[0080:MANRNC]2.0.CO;2
J7ZHW74A 10.1111/j.1755-263X.2011.00196.x
QT4XK9ZE 10.5751/ES-04342-160406
UT5YKBAR 10.1111/j.1755-263X.2010.00158.x
VZ9IFFJI 10.1016/S0022-0981(01)00382-3
2LEEP9SX 10.1016/J.BIOCON.2016.09.004
33P9295H 10.2307/40203478
DYTCQDHK 10.2307/3439329
94F7J32S 10.1016/S0263-2373(99)00070-5
UBQT5U99 10.1023/A:1023395631811
B47ZSHXI 10.1109/HICSS.2014.419
HRCN2KVE 10.1890/12.WB.016
836VV7XI 10.1641/0006-3568(2000)050[0239:TAGISF]2.3.CO;2
9ZMZCZ9D 10.1023/A:1013776931796
YMQJX4SW 10.15517/rbt.v62i4.13231
EECUYPAW 10.1016/j.biocon.2013.11.003
LHEWVWSK 10.1111/j.1365-294X.2010.04773.x
DVEXWLLU 10.1017/S037689291500003X
K3AD9KRG 10.1065/jss2004.10.121
AGUHRBGG 10.1111/j.1526-100X.2012.00919.x
CBF4FAXM 10.1016/S0921-8009(96)00088-2
JBFNEE9E 10.1086/6760341
68EV6JLR 10.5070/V425110616
X3BM5FV4 10.5751/ES-08053-210224
4FX8WNA5 10.1071/WR16041
F5UDYKTY 10.5751/ES-04534-170132
F6XRHPZX 10.5751/ES-06824-190356
VL6AY865 10.1016/S0006-3207(02)00161-1
MCZTVNPJ 10.5751/ES-06533-190301
KDDY6VSS 10.5751/ES-05383-180121
3LPJC2MZ 10.1504/IER.2016.074871
33T5CK6V 10.5751/ES-05178-180208
3PCNMCKC 10.1016/J.BIOCON.2008.07.014
LJHQN34J 10.5751/ES-05551-180426
VSGNZ7DP 10.5751/ES-07469-200167
XBI9ZZ3B 10.1890/1540-9295(2005)003[0103:TTOTCR]2.0.CO;2
R2JYPDJU 10.1641/B570509
TQF2YUHG 10.1111/j.1755-263X.2009.00086.x
B96CYCCS 10.5751/Es-04712-170134
FWA4CJD8 10.1890/1540-9295(2006)004[0075:EACUDO]2.0.CO;2
XGHAJVIF 10.1017/S1464793104006542
AWBYIPR8 10.1017/S0376892911000014
MGHDQUUQ 10.1017/S1755267214001341
VT4LEB4V 10.1163/187601005X00020
NC4C4UVR 10.1641/0006-3568(2002)052[0464:Tgohnc]2.0.Co;2
IMX69ZN2 10.1016/0006-3207(88)90002-X
ELAF7FIV 10.3897/neobiota.61.58380
DL3ZHT9R 10.1017/S0954102011000198
PRPTQDLD 10.1641/B571108
8D9H2WHY 10.1007/s10530-011-9946-5
CFXAKMXQ 10.1042/ETLS20200067
NYTDRNS8 10.1890/1051-0761(2006)016[2035:BIRFUP]2.0.CO;2
DABRZBE7 10.1080/1943815X.2014.975723
V3JX6E45 10.1614/IPSM-D-14-00059.1
QFWU5Y56 10.5751/ES-12352-260211
3MWGCWSD 10.1016/j.cosust.2015.05.008
IZLPFAMD 10.5751/ES-04952-170311
3MLHJ4IF 10.3316/agispt.20121130
T8XJ98L3 10.5751/ES-08362-210230
FF5QVLTE 10.2111/1551-5028(2007)60[225:KAITPO]2.0.CO;2
RHL9NQPR 10.5061/dryad.1qq64
RDSZSNGU 10.1016/j.landurbplan.2016.01.007
GMLBRS2S 10.3316/agispt.20181228005297
HHBPHS6N 10.5751/ES-10327-230329
RF6KDAH8 10.1890/1051-0761(2000)010[0689:BICEGC]2.0.CO;2
WGFCZE2M 10.1016/S0169-5347(01)02194-2
T4GQDS4Y 10.1890/1051-0761(2002)012[0927:AAMIIP]2.0.CO;2
FN7MTA3H 10.1016/S0168-1923(00)00119-2
UC2V8VRX 10.5281/ZENODO.5706521
DRNCYUQ5 10.1111/j.1472-4642.2010.00652.x
5NAEENVG 10.3389/fevo.2020.576667
AAHS2RQD 10.1603/EC11130
QJUH6JCE 10.1579/0044-7447(2008)37[114:ECITBS]2.0.CO;2
85PNTEE7 10.10520/EJC132237
Z5VHAJFZ 10.1017/S1068280500010005
SVAUY7BQ 10.1641/0006-3568(2004)054[0613:TGISIN]2.0.CO;2
NBUJ6447 10.1111/1365-2745.13419
NNQD95PI 10.17170/KOBRA-202011192210
HNKP5Q73 10.1111/j.1755-263X.2012.00250.x
SHBVHJRC 10.1016/j.biocontrol.2020.104503
GFLFSATK 10.1079/cabireviews202217006
QGKNGZRV 10.1071/BT05157
LKP9KQUB 10.1071/WR13100
SXSCHIRC 10.1007/s11600-018-0237-8
6LPXUMPV 10.1128/Spectrum.00686-21
IT4U9M4H 10.1071/WR01011
PJ2U42NU 10.1641/0006-3568(2001)051[0095:HAGPDG]2.0.CO;2
CBYPB6DM 10.1016/S1573-5214(04)80019-8
X4PQSSSS 10.1890/1540-9295(2005)003[0071:BCOIAP]2.0.CO;2
HNWNU5A2 10.1071/WR11097
AXI4B7YE 10.1046/j.1526-100X.2002.01051.x
2YJ34K8R 10.1071/BT20092
ZHZCEETV 10.11646/zootaxa.5039.4.7
K5U3QNCX 10.2305/IUCN.CH.2019.SSC-OP.62.en
DGBJSLLU 10.5751/ES-01208-090212
SWNQTRGB 10.1614/0043-1745(2003)051[0247:EPIATO]2.0.CO;2
QMUJCAI5 10.4102/koedoe. v53i2.1049
ZVY8KSPK 10.1016/S0169-5347(01)02154-1
YGZUYIXA 10.2981/0909-6396(2007)13[159:PCOCMC]2.0.CO;2
VUL7L7S7 10.1023/B:BINV.0000005567.58234.b9
8637SLTA 10.13292/j.1000-4890.201810.001
RHMHM7QA 10.1614/0043-1745(2000)048[0255:IWIRSI]2.0.CO;2
7LSWTA89 10.1017/S0890037X00045942
35WUEQ3G 10.1109/IROS.2015.7353629
Q53QKA8K 10.1017/S1742758400008201
8JGVYMB9 10.1017/S0890037X00040124
DNGLYD6N 10.1023/A:1024054909052
Y2LWTJNI 10.1109/DICTA.2007.4426838
6J4LPL2G 10.1016/S0022-0981(00)00260-4
K8WBS93R 10.10520/EJC142072
YI5G6YAS 10.1111/mam.12176
TL2B76K7 10.1111/mec.15788
CNLRSS3S 10.1016/S0167-5877(98)00078-6
2JIWXVHP 10.1023/A:1020951407069
ENITFXZD 10.1016/S0308-597X(03)00041-1
HXXAXRTF 10.1017/S0890037X00040793
XQ7WTLT7 10.1071/PC18080
D44D825Y 10.1584/jpestics.D19-101
BIHB896K 10.1071/EA06009
AIJ3HS8A 10.1071/RJ19047
DWQ67M5S 10.2458/azu_rangelands_v25i6_frost
YPDWJYJB 10.10520/EJC96214
NZTBD2B9 10.1890/1540-9295(2006)4[428:LFAMIT]2.0.CO;2
JBUPIVCG 10.1111/eea.12619
S7XIVDGH 10.1111/j.1365-2427.2009.02169.x
5B5VLAFF 10.1071/RJ15100
KBA6RJT3 10.1071/AM14023
897ALY3S 10.1016/j.tree.2017.03.006
4E8MXFSH 10.1128/JVI.75.24.12288-12297.2001
7C9NY5Z5 10.1109/MILCOM.2005.1605894
VPGVRIHQ 10.1111/j.1523-1739.2008.00937.x
QHVGP3F6 10.1002/(SICI)1096-9063(199703)49:3%3C213::AID-PS516%3E3.0.CO;2-%23
2WVLFA2E 10.1109/IGARSS.2002.1024961
58SMZNII 10.3233/JIFS-179109
ILULHK7I 10.1603/0022-0493-99.5.1550
P545SWME 10.1109/INISTA.2017.8001126
DUJQZCLB 10.1590/S0037-86822012000200006
53BUH5TC 10.1088/1748-0221/16/08/P08037
3VVZTPH2 10.1603/0046-225X-33.4.844
4EMB2PYM 10.1088/1757-899X/799/1/012045
9HF5KYDU 10.1016/S0022-474X(03)00012-2
KBRF3KQM 10.14455/DOA.res.2014.3
MGZAD25Z 10.1109/ACCESS.2020.3010287
9NMFEPRL 10.1641/0006-3568(2004)054[0337:DDPBWF]2.0.CO;2
CDJ4DPBI 10.1111/j.1755-263X.2012.00228.x
RFZJRAIP 10.1111/ddi.12225
UCUHBJ3I 10.1111/j.1526-100X.2009.00614.x
S59G4BKM 10.1007/s00338-019-01807-7
ZKJPQRV7 10.2118/177952-MS
EDRSEM83 10.1590/S1519-69842005000400014
33C799UR 10.1071/PC15020
PHRMIUJX 10.1614/IPSM-D-10-00012.1
C6YEVH8M 10.1641/0006-3568(2002)052[0593:BMTACA]2.0.CO;2
8T3TSY8T 10.1017/S0007485320000061
DYAM5LJJ 10.22004/AG.ECON.152140
2Q6J62Y4 10.1017/S0007485315001017
PLG2LPDR 10.1641/0006-3568(2006)56[931:SAEITM]2.0.CO;2
PL98EN7Q 10.1017/S1355770X1200037X
22F5BXKU 10.1071/WR18154
739MZKEP 10.1614/IPSM-09-042.1
NP8ZHH7Y 10.1079/PAVSNNR20149037
XKQA2S67 10.1016/S0262-4079(19)31224-2
MF2PUVTN 10.1016/S0301-4797(95)90347-X
FAWZTUAE 10.1890/1051-0761(2002)012[0618:ATATOU]2.0.CO;2
4XPX2TXC 10.1071/WR15176
XNI357U5 10.3897/neobiota.40.28840
NVARK385 10.1614/IPSM-08-127.1
GX7CJR53 10.5751/ES-04590-170223
P3WI2WYU 10.1890/1540-9295(2005)003[0012:ISPMAF]2.0.CO;2
H3LC479H 10.1017/S1755773913000131
MFUK4CNL 10.1614/IPSM-D-14-00076.1
X7689EJA 10.1038/nplants.2016.134
K8VYE8ZH 10.1016/j.gloenvcha.2021.102366
KC8MYH5I 10.3197/096327117X15002190708119
RJN3TAP9 10.1007/BF00004802
SZEKKL2K 10.5751/ES-07988-210122
P6TEZSS7 10.1071/MF18009
8UMZD838 10.5849/jof.2016-034R1
JPZG76RJ 10.1300/J064v18n02_07
Q7AL4SGQ 10.1007/BF00712056
DEJK28C7 10.1016/S0261-2194(00)00044-2
9NZHV3JI 10.1016/S0140-6736(07)61779-6
59JKQHRP 10.1056/NEJMoa0805715
29MSFSMV 10.1097/EDE.0b013e31823b66b8
QM49G4RB 10.1017/S0031182016000652
HWSR7F33 10.1097/MEJ.0000000000000479
SQLNLGCP 10.1016/j.pt.2020.12.005
Z3RNRLQH 10.2298/ABS1303877J
CVAZBGLV 10.1071/MF20080
JU8VAT5P 10.1007/BF00001938
HW6E7FFI 10.7176/JESD/10-10-09
Z5WHJF9F 10.3750/AIP2010.40.1.02
YFNHYQWN 10.1093/bjs/znab134.326
7FBN4Z4A 10.1016/0167-5877(93)90051-T
9LTXX4QR 10.1056/NEJM199008163230707
CP8T5K55 10.1016/S1081-1206(10)63493-X
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U97B2QGL 10.1641/0006-3568(2005)055[0780:TOOTNP]2.0.CO;2
U7IWT8Z6 10.1016/0044-8486(94)00227-F
AW2XHST4 10.1111/2041-210X.13629
URUPIKCF 10.1002/ecy.3474
IJL7IK5E 10.1071/WR07091
KCATLE2H 10.5281/ZENODO.6458083
4EPKXFTK 10.1016/S0169-5347(99)01679-1
SPS8ZRVC 10.1046/j.1365-2699.2002.00706.x
I3WANZNY 10.1111/2041-210X.13335
KSWSHRIZ 10.1890/1540-9295(2003)001[0307:BBAB]2.0.CO;2
7UZIC5WJ 10.1080/00212210.1995.10688827
SUM7SVXT 10.1016/j.tree.2009.03.01
6DHT7CNR 10.1093/mnras/stt1458
3YHUAZSW 10.1641/0006-3568(2005)055[0335:SPFRTT]2.0.CO;2
K9ZYGDF9 10.14284/170
9WNNYTIV 10.5751/ES-04249-160325
CMQ8KJIF 10.1016/S0169-5347(98)01417-7
9SFCL4HV 10.5282/RCC/6270
UBY5M4K9 10.1016/S0169-5347(00)89171-5
AP6PDDCR 10.1890/1540-9295(2005)003[0495:TWOTRD]2.0.CO;2
YB2QDM5V 10.1111/j.1472-4642.2008.00521.x
TJNT5NRX 10.1111/2041-210X.12288
QX8ILNFM 10.1111/j.1600-0706.2012.20673.x
J2XEAGXE 10.1111/j.1755-263X.2008.00021.x
G8SRB76R 10.1016/S0169-5347(02)02495-3
P7V8CCU4 10.1890/15-0171.1
57TT5BZ9 10.1111/risa.12870
ZEML3VIC 10.2984/1534-6188(2007)61[307:BAIOPI]2.0.CO;2
Z64YL7WL 10.1890/1540-9295(2007)5[153:IPIIAR]2.0.CO;2
9DBJR3QX 10.1098/rspb.2020.077
FWWQ8TZG 10.1890/1540-9295(2004)002[0354:APFASI]2.0.CO;2
K55B5YBI 10.1890/1540-9295(2004)002[0265:TOOATI]2.0.CO;2
BJQGGPVA 10.1614/WT-04-126.1
AU6PLA3N 10.5751/ES-07541-200216

TODO Do Exist

TODO Finally we check, if these dois exist but are not ingested into OpenAlex. This is done using the doi.org resolver This is disabled at the moment and still needs to be implemented.

Reuse

Citation

BibTeX citation:
@report{krug,
  author = {Krug, Rainer M.},
  title = {Bibliography {Report}},
  langid = {en},
  abstract = {Reports analysing the IPBES Libraries on Zotero.}
}
For attribution, please cite this work as:
Krug, Rainer M. n.d. “Bibliography Report.”