cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/txs-bkp-vxj
title: Cirsium erisithales (Jacq.) Scop.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3kb-67f-xjh
title: Agrostis rupestris All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yjj-9gg-n6y
title: Alyssum argyrophyllum Schott & Kotschy

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.26021/canterburynz.29286723
title: HGB Probability (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB prediction HGB probability [this dataset]MLPC predictionMLPC probabilityRandom forest predictionRandom forest probabilityXGBoost predictionXGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v
DOI: 10.26021/canterburynz.29286723.v1
title: HGB Probability (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB prediction HGB probability [this dataset]MLPC predictionMLPC probabilityRandom forest predictionRandom forest probabilityXGBoost predictionXGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v
DOI: 10.3535/5k3-fj2-4v3
title: Potentilla caulescens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g8j-0d3-t61
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kvh-j63-7qz
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zwz-ltw-n46
title: Vriesea crassa Mez

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e2d-7gd-be1
title: Boerhavia coccinea Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lhj-8cv-tta
title: Euphorbia squamosa Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tk2-97n-0zn
title: Duguetia furfuracea (A. St.-Hil.) Saff.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/aa3-z4d-rgx
title: Minuartia hirsuta subsp. oreina Mattf.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kdl-789-73x
title: Marrubium parviflorum Fisch. & C.A.Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/50d-zbb-n0f
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/klk-3k7-756
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gly-y8j-7qx
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/byr-6l4-5jd
title: Onobrychis Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wt5-162-eky
title: Hypericum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kjd-wq4-0nz
title: Erysimum scoparium (Brouss. ex Willd.) Wettst.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n6l-xel-7dx
title: Erysimum scoparium (Brouss. ex Willd.) Wettst.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jvd-cx9-411
title: Silene roemeri Friv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5n5-9tm-a1z
title: Hordeum murinum subsp. glaucum (Steud.) Tzvelev

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rby-ry5-63w
title: Potamogeton crispus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7z2-gn0-8fv
title: Thesium alpinum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x2p-vqp-319
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jmg-tj3-5hw
title: Aegilops tauschii Coss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n22-2cj-eeq
title: Cotoneaster integerrimus Medik.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e71-t4f-3fd
title: Anthyllis vulneraria L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4tn-76a-4gv
title: Rosa corymbifera Borkh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j99-pzq-1qg
title: Hyoscyamus niger L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b90-bh7-t34
title: Alyssoides utriculata (L.) Medik.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f67-7t6-e20
title: Trifolium pratense L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/djp-2g1-wkb
title: Bunias orientalis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e91-3d2-pay
title: Achillea millefolium L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ld1-46k-hfl
title: Carex aterrima subsp. medwedewii (Leskov) T.V.Egorova

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yp6-nag-1zy
title: Myriophyllum spicatum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.26021/canterburynz.29286711
title: HGB Prediction (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB prediction [this dataset]HGB probabilityMLPC predictionMLPC probabilityRandom forest predictionRandom forest probabilityXGBoost predictionXGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v1
DOI: 10.26021/canterburynz.29286711.v1
title: HGB Prediction (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB prediction [this dataset]HGB probabilityMLPC predictionMLPC probabilityRandom forest predictionRandom forest probabilityXGBoost predictionXGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v1
DOI: 10.3535/6sb-2eb-z0w
title: Gagea glacialis K.Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/klz-9m3-kxm
title: Poaceae

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a5p-zge-jhv
title: Thlaspi arvense L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e92-5f4-fv4
title: Poaceae

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.thak8v
title: Occurrence Download

description: A dataset containing 2001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.62418 47.80977,-121.64381 47.79674,-121.66359 47.76953,-121.63144 47.64338,-121.58526 47.61782,-121.49209 47.61864,-121.4172 47.64428,-121.37811 47.67909,-121.35447 47.73525,-121.35808 47.79038,-121.3916 47.82423,-121.44532 47.85257,-121.50553 47.86054,-121.56013 47.84991,-121.62418 47.80977))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2001 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064035-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/e3t-mmv-e50
title: Teucrium orientale L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mqj-2kn-hnw
title: Lamiaceae

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.ysh93d
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paracladopelma graminicolor, Paracladopelma rhoedesianum, Paradoxocladius, Parakiefferiella biloba, Parakiefferiella, Polypedilum ephippium, Paramerina nigromarmorata, Paramerina septemguttata, Paramerina vaillanti, Parametriocnemus, Paraphaenocladius dewulfi, Paraphaenocladius, Paratendipes crosskeyi, Paratendipes, Paratendipes reidi, Paratendipes seydeli, Cricotopus micans, Paratrichocladius pretorianus, Paratrissocladius, Polypedilum annulatipes, Polypedilum bifalcatum, , Polypedilum fuscum, Polypedilum griseoguttatum, Polypedilum kibatiense, Polypedilum laterale, Polypedilum lobiferum, Polypedilum melanophilum, Polypedilum quinqueguttatum, Polypedilum ramiferum, Polypedilum subovatum, Polypedilum tenuitarse, Polypedilum tridens, Polypedilum tropicum, Pseudorthocladius nigerrimus, Pseudorthocladius, Pseudorthocladius similis, Pseudosmittia capicola, Pseudosmittia, Pseudosmittia conigera, , Pseudosmittia hirtella, Pseudosmittia rectilobus, Pseudosmittia subnigra, Pseudosmittia subtrilobata, Rheocricotopus, Semiocladius crassipennis, Skusella, Smittia collifera, Stelechomyia, Stempellina truncata, Stenochironomus antennalis, Stenochironomus bipunctatus, Stenochironomus edwardsi, Stenochironomus harrisoni, Stenochironomus polychaetus, Stenochironomus spatuliger, Stictochironomus bisignatus, Stictochironomus caffrarius, Stictochironomus festivus, Stictochironomus natalensis, Synorthocladius, Synorthocladius lobiger, Thienemannia, Trissopelopia montivaga, Trissopelopia, Virgatanytarsus, Xenochironomus ugandae, Xenochironomus, Zavrelia, Zavreliella, Zavreliella marmorata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064034-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/d6b-b4r-lda
title: Astragalus incertus Ledeb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lsn-0mp-vlj
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cg0-r34-xer
title: Euphrasia frigida Pugsley

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t1e-810-s7p
title: Sideritis montana L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tg1-efl-bsn
title: Pilosella pannoniciformis (Litv. & Zahn) Soják

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3e5-vkl-zb0
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tkb-1b2-kdd
title: Pedicularis crassirostris Bunge

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9c2-a9b-c1j
title: Lophiolepis eriophora (L.) Del Guacchio, Bures, Iamonico & P. Caputo

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lh0-nf4-xze
title: Impatiens parviflora DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e48-mxr-vks
title: Lophiolepis eriophora (L.) Del Guacchio, Bures, Iamonico & P. Caputo

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mb3-p6l-teq
title: Poa bulbosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.xge2tq
title: Occurrence Download

description: A dataset containing 17626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Bassia scoparia"
 ]
}

 The dataset includes 17626 records from 455 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064033-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/4r2-a8f-03p
title: Glyceria notata Chevall.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.5967zw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aglaonema costatum",
 "Country is Lao People’s Democratic Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064037-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2zf-hq0-gpy
title: Crepis capillaris (L.) Wallr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4zs-gxc-0vw
title: Alyssum alyssoides (L.) L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/606-kd4-866
title: Carex stenophylla Wahlenb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2nf-bge-s97
title: Euphrasia officinalis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w56-r5s-6s2
title: Euphrasia frigida Pugsley

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/56x-d8d-y5t
title: Centrosema macrocarpum Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pkq-t60-753
title: Euphrasia officinalis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7gv-hah-3hs
title: Scrophularia variegata M. Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pkp-09s-8ab
title: Salvia sclarea L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ch6-y8f-v56
title: Berberis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kcm-e8s-j82
title: Carex liparocarpos subsp. bordzilowskii (V.I.Krecz.) T.V.Egorova

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hag-azn-5tv
title: Aegilops triuncialis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jfz-n61-2rp
title: Medicago rigidula (L.) All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.a9m49a
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brassica rapa",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 70 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064038-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6wa-g6g-n66
title: Fallopia convolvulus (L.) Á. Löve

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p5e-505-ac5
title: Poterium sanguisorba subsp. sanguisorba

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yy0-w08-j9a
title: Silene ruprechtii Schischk.

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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aglaonema costatum",
 "Country is Algeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064036-250717081556266/datasets/export for details.
DOI: 10.3535/fmv-pm4-1ac
title: Odontarrhena muralis (Waldst. & Kit.) Endl.

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