Reference health

Representation of the Hyrcanian Forest (Northern Iran) in Modern Pollen Rain Revealed by Palynological and Metabarcoding Data

https://doi.org/10.2139/ssrn.4108857
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30/30 checkable references clean · checked 2026-09-09

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 30 checked references that resolve
resolves10.1007/s11032-007-9123-9
Genetic mapping of Echinacea purpurea via individual pollen DNA fingerprinting
resolves10.1038/s41598-020-61198-6
Experimental quantification of pollen with DNA metabarcoding using ITS1 and trnL
resolves10.1139/gen-2015-0200
Pollen DNA barcoding: current applications and future prospects
resolves10.1093/nar/gkn723
GenBank
resolves10.1016/j.scitotenv.2020.141189
Tracking seasonal changes in diversity of pollen allergen exposure: Targeted metabarcoding of a subtropical aerobiome
resolves10.1111/j.1365-294X.2012.05550.x
Bioinformatic challenges for DNA metabarcoding of plants and animals
resolves10.1111/2041-210X.12574
The ecologist's field guide to sequence‐based identification of biodiversity
resolves10.1093/aobpla/plx015
Reconstructing a herbivore’s diet using a novel rbcL DNA mini-barcode for plants
resolves10.1111/j.1755-0998.2009.02652.x
Are plant species inherently harder to discriminate than animal species using DNA barcoding markers?
resolves10.1007/s00709-010-0119-7
Dynamic morphologies of pollen plastids visualised by vegetative-specific FtsZ1–GFP in Arabidopsis thaliana
resolves10.1371/journal.pone.0109363
A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees
resolves10.1016/j.pld.2021.07.005
Plant diversity of Hyrcanian relict forests: An annotated checklist, chorology and threat categories of endemic and near endemic vascular plant species
resolves10.1371/journal.pone.0134735
Using DNA Metabarcoding to Identify the Floral Composition of Honey: A New Tool for Investigating Honey Bee Foraging Preferences
resolves10.1016/j.revpalbo.2013.01.011
Trapping pollen in the tropics — Comparing modern pollen rain spectra of different pollen traps and surface samples across Andean vegetation zones
resolves10.1038/s41559-018-0614-3
The value of environmental DNA biobanking for long-term biomonitoring
resolves10.1111/plb.12251
Evaluating multiplexed next‐generation sequencing as a method in palynology for mixed pollen samples
resolves10.1007/BF02243729
Precipitation patterns of central Elburz
resolves10.1111/1755-0998.12288
Efficient and sensitive identification and quantification of airborne pollen using next‐generation <scp>DNA</scp> sequencing
resolves10.1002/jemt.20688
Detection of pollen grains in multifocal optical microscopy images of air samples
resolves10.1016/S1081-1206(10)60268-2
Biomolecular identification of allergenic pollen: a new perspective for aerobiological monitoring?
resolves10.1111/j.1471-8286.2006.01588.x
The determination of multiple microsatellite genotypes and DNA sequences from a single pollen grain
resolves10.1007/s11676-015-0019-y
A floristic survey of the Hyrcanian forests in Northern Iran, using two lowland-mountain transects
resolves10.1111/mec.14776
The choice of universal primers and the characteristics of the species mixture determine when <scp>DNA</scp> metabarcoding can be quantitative
resolves10.1016/j.scitotenv.2021.150468
DNA metabarcoding using nrITS2 provides highly qualitative and quantitative results for airborne pollen monitoring
resolves10.1038/s41598-017-16785-5
DNA metabarcoding data unveils invisible pollination networks
resolves10.1016/j.revpalbo.2012.10.004
Pollen–vegetation relationships in the central Caspian (Hyrcanian) forests of northern Iran
resolves10.3732/apps.1500043
Rank‐based characterization of pollen assemblages collected by honey bees using a multi‐locus metabarcoding approach
resolves10.3732/apps.1400066
Application of ITS2 metabarcoding to determine the provenance of pollen collected by honey bees in an agroecosystem
resolves10.1016/j.jim.2012.01.012
Immunologic, spectrophotometric and nucleic acid based methods for the detection and quantification of airborne pollen
resolves10.1186/s12898-015-0051-y
Increased efficiency in identifying mixed pollen samples by meta-barcoding with a dual-indexing approach
The 12 references without a DOI — listed, not checked
no DOI — not checkedApplying Pollen DNA Metabarcoding to the Study of Plant-Pollinator Interactions
no DOI — not checkedref6
no DOI — not checkedImproving the performance of particle swarms through dimension reductions-A case study with locust swarms
no DOI — not checkedref11
no DOI — not checkedMultiple multilocus DNA barcodes from the plastid genome discriminate plant species equally well
no DOI — not checkedref18
no DOI — not checkedChoosing and using a plant DNA barcode
no DOI — not checkedref23
no DOI — not checkedref35
no DOI — not checkedref39
no DOI — not checkedref40
no DOI — not checkedThe relationship between elevation and seed-plant species richness in the Mt
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. If Crossref’s record marks the work itself retracted, withdrawn, or removed, the badge says so instead of showing clean. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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