cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11583/dtu.28955279.v2
title: Global Wind Atlas v4 (landcover)

description: Landcover in GWA 4.0 was derived from the European Space Agency’s (ESA) WorldCover dataset v200<sup>[1]</sup>. This dataset is based on both optical sensors and Sentinel 1 and 2 data, and achieves an accuracy of 76.7% for the version used in the GWA4 dataset. It contains 11 land cover classes and has a horizontal grid spacing of approximately 10 m. For the GWA, the data were resampled to 1/2400 degree resolution (approximately 50 m) using nearest neighbour extrapolation. The WorldCover data was provided in the WGS 1984 coordinate system (EPSG: 4326).The data was converted to roughness length by defining a specific roughness length to each of the land cover classes. Because the roughness length of taller canopies (landcover classes 10, 20 and 95) is highly uncertain, the roughness length was instead determined based on the ETH tree height dataset<sup>[2]</sup>. This dataset was resampled to the same horizontal grid spacing as the land cover data using bilinear interpolation. The tree heights were then classified into 2 m bins from 2 to 30 m. The simple approach of estimating the roughness length as 0.1 times the tree height was used to convert these bins into new landcover classes. The displacement height was estimated as 2/3 times the tree height.The landcover to roughness and displacement height conversion table can be found here.We recommend the windkit library if you want to convert the landcover to roughness length or displacement height map:<pre>import windkit as wk<br>lc = wk.read_landcover_map("https://api.globalwindatlas.info/cogs/GWA4_ESA_WorldCover_2021_50m.tif")<br>lct = wk.get_landcover_table("GWA4")<br>lcs = lc.sel(west_east=slice(10,11),south_north=slice(55,56))<br>lcs = lcs.load()<br>z0 = wk.topography.raster_map._landcover_to_roughness(lcs, lct, field="z0")<br></pre>Note that the above only works for limited areas, because the full dataset is likely too large to fit into your computers memory. If you want to convert landcover using gdal you can do something like:<pre>gdal raster reclassify -f GTIFF --ot UInt16 -m '0=0;10=1500;100=10;20=300;30=30;40=100;50=500;60=5;70=3;80=0;90=100;95=700;101=300;102=300;103=500;104=700;105=900;106=1100;107=1300;108=1500;109=1700;110=1900;111=2100;112=2300;113=2500;114=2700;115=2900;116=3000' -i GWA4_ESA_WorldCover_2021_50m.tif -o z0.tif<br></pre>Also note that for landcover class 0 (water) the roughness length is 0.0002 m when running the global wind atlas. This is because this landcover class is both defining the sea/land mask and a roughness length in this dataset.When using this dataset, please cite using the following DOI:<br>Floors, R. et al. (2025) <i>Global Wind Atlas v4 (landcover)</i>, 10.11583/DTU.28955279
DOI: 10.3535/vrl-zjt-3fx
title: Hieracium froelichianum subsp. macilentum (Fr.) Gottschl. & Greuter

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xl2-cwe-x2m
title: Hieracium glaucinum subsp. pallidifrons (Sudre) O. Bolòs & Vigo

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.11583/dtu.28955279.v1
title: Global Wind Atlas v4 (Roughness length)

description: Roughness length in GWA 4.0 was derived from the European Space Agency’s (ESA) WorldCover dataset v200<sup>[1]</sup>. This dataset is based on both optical sensors and Sentinel 1 and 2 data, and achieves an accuracy of 76.7% for the version used in the GWA4 dataset. It contains 11 land cover classes and has a horizontal grid spacing of approximately 10 m. For the GWA, the data were resampled to 1/2400 degree resolution (approximately 50 m) using nearest neighbour extrapolation. The WorldCover data was provided in the WGS 1984 coordinate system (EPSG: 4326).The data was converted to roughness length by defining a specific roughness length to each of the land cover classes. Because the roughness length of taller canopies (landcover classes 10, 20 and 95) is highly uncertain, the roughness length was instead determined based on the ETH tree height dataset<sup>[2]</sup>. This dataset was resampled to the same horizontal grid spacing as the land cover data using bilinear interpolation. The tree heights were then classified into 2 m bins from 2 to 30 m. The simple approach of estimating the roughness length as 0.1 times the tree height was used to convert these bins into new landcover classes. The displacement height was estimated as 2/3 times the tree height.The landcover to roughness and displacement height conversion table can be found here.When using this dataset, please cite using the following DOI:<br>Floors, R. et al. (2025) <i>Global Wind Atlas v4 (Roughness length)</i>, 10.11583/DTU.28955279
DOI: 10.3535/caf-9mz-a4m
title: Cornus kousa subsp. kousa

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r80-sh0-0br
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2tp-2xk-m05
title: Knautia tatarica (L.) Szabó

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y6y-a49-xbz
title: Polygonum cognatum Meisn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h5n-67v-nll
title: Polygonum cognatum Meisn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.gauq8a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Desmognathus quadramaculatus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072845-250717081556266/datasets/export for details.
DOI: 10.3535/s9h-sca-vja
title: Patrinia villosa (Thunb.) Juss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tn4-y0p-1he
title: Euphrasia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3fz-03j-561
title: Hieracium sabaudum subsp. nemorivagum (Jord. ex Boreau) Zahn

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p4z-hn6-hqc
title: Hieracium tephropogon subsp. tephropogon

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4cq-z93-55l
title: Alnus japonica (Thunb.) Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z6g-4cx-fyx
title: Aruncus dioicus (Walter) Fernald

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/85d-8j0-sxz
title: Quercus myrsinifolia Blume

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bxy-a0v-ae1
title: Rhamnus crenata Siebold & Zucc.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ccp-a1x-8fn
title: Euptelea polyandra Siebold & Zucc.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/eyx-cn5-9gp
title: Alyssum tortuosum Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3ff-cb7-h9c
title: Trifolium nigrescens Viv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vdq-v26-tmz
title: Trifolium alpestre L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xt4-avd-9my
title: Vitis gmelinii Buttler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rsy-710-8e2
title: Anthyllis aurea Welden ex Host

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wx5-4fq-5gz
title: Trifolium ochroleucon Huds.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jqn-d1m-xez
title: Dianthus integer subsp. minutiflorus (Halácsy) Bornm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kap-q6v-xt5
title: Medicago marina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.menuy2
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna septemtrionalis",
 "Country is Ethiopia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 191 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072847-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/rfm-rbv-r5q
title: Aria graeca (Lodd. ex Spach) M. Roem.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vxl-x69-07z
title: Diplotaxis tenuifolia (L.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3vq-h61-qps
title: Epilobium montanum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/108-e79-01q
title: Cynoglottis barrelieri subsp. barrelieri

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1rv-ver-4jk
title: Grafia golaka (Hacq.) Rchb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/285-b9s-1nw
title: Moenchia mantica (L.) Bartl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lzv-2r2-3kb
title: Veronica arvensis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8jm-5wd-kw9
title: Ranunculus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ynw-92j-56r
title: Grammosciadium DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cgp-7g8-lar
title: Hieracium atrocalyx Gottschl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r48-gv0-sll
title: Panicum miliaceum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/60c-6kk-ct2
title: Leersia oryzoides (L.) Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hkv-zvj-chd
title: Melilotus Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hyk-dn6-8g0
title: Saxifraga muscoides All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2ep-gfw-w8f
title: Achillea chrysocoma Friv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zg7-cct-s4t
title: Echium italicum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/392-zcc-92t
title: Panicum miliaceum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4r8-n3q-6kh
title: Eremostachys laciniata (L.) Bunge

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.6084/m9.figshare.28883615
title: Multiple sequence alignment and gene-species tree of plant SOK proteins

description: This entry includes Supplementary Data for Chapter 5 of the PhD thesis titled "Navigating the Plant Cell: The Function and Evolution of SOSEKI Polar Proteins" by Andriy Volkov (Wageningen University).This dataset contains a multiple sequence alignment of 1086 SOSEKI (SOK) proteins from various plants (SOKs.l-ins-i.fa, FASTA format), as well as references for sequence sources (Supplementaly methods, Microsoft Word document). A reconciled gene-species phylogenetic tree is also presented (SupplFigure3_SOK_gene-species-tree_reconciliated.xml, doubleRecXML format)We compiled a set of SOK sequences from various public databases. Most databases have Pfam/InterPro annotations, which allowed us to obtain proteins containing annotated SOSEKI DIX domains (Pfam ID: PF06136). Where no such annotations existed (<i>Metasequoia glyptostroboides, Lupinus angustifolius and Lycopodium clavatum</i>) we queried the genomes using BLASTP to identify sequences highly homologous to the <i>Arabidopsis </i>SOK1 protein. Since genome sequences are available for few bryophyte species, we supplemented our dataset with additional bryophyte SOK sequences from the OneKP dataset (van Dop et al, 2020). We filtered out sequences that did not match a SOK DIX domain using PFAMScan (Madeira et al., 2024; Mistry et al., 2020), as well as sequences with less than 200 amino acids (median sequence length before filtering: 427 amino acids). The resulting dataset contained 1086 sequences from 199 species.Sequences were aligned using MAFFT L-Ins-2 (Katoh et al., 2017). This multiple sequence alignment (MSA) was used to build a phylogenetic tree using FastTree version 2.1.11 (Price et al., 2009, 2010). No trimming of the input sequences was performed. We used a JTT + gamma substitution model, which Smart Model Selection for PhyML (Lefort et al., 2017) showed as optimal. The resulting tree was used as a starting tree for GeneRax to infer a maximum likelihood species-tree-aware phylogeny. We ran GeneRax with the undated gene tree evolution model (UndatedDL) and optimized the tree topology using SPR moves with a maximum radius of 6. We retrieved a species tree from OpenTree Taxonomy version 3.6 (OpenTreeOfLife et al., 2020). There were a few polytomies in the species tree. We resolved these polytomies for downstream use by grouping pairs of branches into artificial clades. Furthermore, we rerooted the species tree to reflect the monophyletic origin of bryophytes, which is currently the consensus topology of land plant phylogeny (Harris et al., 2022; Harris et al., 2020; Su et al., 2021).
DOI: 10.6084/m9.figshare.28883615.v2
title: Multiple sequence alignment and gene-species tree of plant SOK proteins

description: This entry includes Supplementary Data for Chapter 5 of the PhD thesis titled "Navigating the Plant Cell: The Function and Evolution of SOSEKI Polar Proteins" by Andriy Volkov (Wageningen University).This dataset contains a multiple sequence alignment of 1086 SOSEKI (SOK) proteins from various plants (SOKs.l-ins-i.fa, FASTA format), as well as references for sequence sources (Supplementaly methods, Microsoft Word document). A reconciled gene-species phylogenetic tree is also presented (SupplFigure3_SOK_gene-species-tree_reconciliated.xml, doubleRecXML format)We compiled a set of SOK sequences from various public databases. Most databases have Pfam/InterPro annotations, which allowed us to obtain proteins containing annotated SOSEKI DIX domains (Pfam ID: PF06136). Where no such annotations existed (<i>Metasequoia glyptostroboides, Lupinus angustifolius and Lycopodium clavatum</i>) we queried the genomes using BLASTP to identify sequences highly homologous to the <i>Arabidopsis </i>SOK1 protein. Since genome sequences are available for few bryophyte species, we supplemented our dataset with additional bryophyte SOK sequences from the OneKP dataset (van Dop et al, 2020). We filtered out sequences that did not match a SOK DIX domain using PFAMScan (Madeira et al., 2024; Mistry et al., 2020), as well as sequences with less than 200 amino acids (median sequence length before filtering: 427 amino acids). The resulting dataset contained 1086 sequences from 199 species.Sequences were aligned using MAFFT L-Ins-2 (Katoh et al., 2017). This multiple sequence alignment (MSA) was used to build a phylogenetic tree using FastTree version 2.1.11 (Price et al., 2009, 2010). No trimming of the input sequences was performed. We used a JTT + gamma substitution model, which Smart Model Selection for PhyML (Lefort et al., 2017) showed as optimal. The resulting tree was used as a starting tree for GeneRax to infer a maximum likelihood species-tree-aware phylogeny. We ran GeneRax with the undated gene tree evolution model (UndatedDL) and optimized the tree topology using SPR moves with a maximum radius of 6. We retrieved a species tree from OpenTree Taxonomy version 3.6 (OpenTreeOfLife et al., 2020). There were a few polytomies in the species tree. We resolved these polytomies for downstream use by grouping pairs of branches into artificial clades. Furthermore, we rerooted the species tree to reflect the monophyletic origin of bryophytes, which is currently the consensus topology of land plant phylogeny (Harris et al., 2022; Harris et al., 2020; Su et al., 2021).
DOI: 10.15468/dl.mqnnyd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Geospiza parvula)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072849-250717081556266/datasets/export for details.
DOI: 10.3535/2f7-a3s-h29
title: Calamagrostis Adans.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.6084/m9.figshare.28883615.v1
title: Multiple sequence alignment of plant SOK proteins

description: This entry includes Supplementary Data for Chapter 5 of the PhD thesis titled "" by Andriy Volkov (Wageningen University). This dataset contains a multiple sequence alignment of 1086 SOSEKI (SOK) proteins from various plants.We compiled a set of SOK sequences from various public databases. Most databases have Pfam/InterPro annotations, which allowed us to obtain proteins containing annotated SOSEKI DIX domains (Pfam ID: PF06136). Where no such annotations existed (<i>Metasequoia glyptostroboides, Lupinus angustifolius and Lycopodium clavatum</i>) we queried the genomes using BLASTP to identify sequences highly homologous to the <i>Arabidopsis </i>SOK1 protein. Since genome sequences are available for few bryophyte species, we supplemented our dataset with additional bryophyte SOK sequences from the OneKP dataset (van Dop et al, 2020). We filtered out sequences that did not match a SOK DIX domain using PFAMScan (Madeira et al., 2024; Mistry et al., 2020), as well as sequences with less than 200 amino acids (median sequence length before filtering: 427 amino acids). The resulting dataset contained 1086 sequences from 199 species. Sequences were aligned using MAFFT L-Ins-2 (Katoh et al., 2017). This multiple sequence alignment (MSA) was used to build a phylogenetic tree.
DOI: 10.15468/dl.7457fy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astroblepus prenadillus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072846-250717081556266/datasets/export for details.
DOI: 10.3535/7m6-jef-psy
title: Typha laxmannii Lepech.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g12-tm9-pf0
title: Parentucellia Viv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0vq-y6c-cpn
title: Hieracium subspeciosum subsp. megalocladum Nägeli & Peter

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a4e-eqt-y1f
title: Cynoglossum officinale L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5bb-npz-jy8
title: Carex pilulifera L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wzj-wcy-wf6
title: Achnatherum virescens (Trin.) Banfi, Galasso & Bartolucci

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/98t-znz-twz
title: Pilosella prussica (Nägeli & Peter) Soják

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pmt-qvs-db1
title: Allium schoenoprasum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/71x-3rs-4mw
title: Potentilla supina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v53-b03-05r
title: Hieracium permaculatum subsp. cacuminicola Gottschl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5bj-q08-e4w
title: Hieracium dermophyllum subsp. dermophyllum

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gln-e33-fwd
title: Hieracium cirritum subsp. biceps (Zahn) Zahn

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3b9-n1g-ly0
title: Ononis spinosa subsp. austriaca (Beck) Gams

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5c4-pfb-43v
title: Pilosella calodon subsp. calodon

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ecr-ca0-bkf
title: Silene saxatilis Sims

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4h5-4tq-58h
title: Dipsacus laciniatus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q7m-2qz-0wd
title: Lamium galeobdolon subsp. flavidum (F.Herm.) Á.Löve & D.Löve

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/se2-qxg-6p2
title: Hieracium froelichianum subsp. cavicola Gottschl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2b1-8md-9v5
title: Pilosella officinarum Vaill.

description: Digital Specimen for the physical specimen hosted at University of Graz.