cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2b9cyd
title: Occurrence Download

description: A dataset containing 1283383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Aves, Insecta)",
 "Geometry MULTIPOLYGON (((103.7589 1.431576, 103.7591 1.439665, 103.7392 1.439665, 103.7376 1.383045, 103.7276 1.383045, 103.7272 1.366867, 103.7172 1.366867, 103.717 1.358779, 103.697 1.358779, 103.6968 1.35069, 103.6769 1.35069, 103.6767 1.342602, 103.6667 1.342602, 103.6665 1.334513, 103.6465 1.334513, 103.6467 1.342602, 103.6367 1.342602, 103.6365 1.334513, 103.6265 1.334513, 103.6257 1.302159, 103.6157 1.302159, 103.6155 1.294071, 103.6654 1.294071, 103.6652 1.285982, 103.6752 1.285982, 103.6754 1.294071, 103.6954 1.294071, 103.6952 1.285982, 103.7251 1.285982, 103.7253 1.294071, 103.7552 1.294071, 103.755 1.285982, 103.7451 1.285982, 103.7449 1.277894, 103.7648 1.277894, 103.7646 1.269805, 103.7746 1.269805, 103.7742 1.253629, 103.7942 1.253629, 103.7944 1.261717, 103.8143 1.261717, 103.8141 1.253629, 103.854 1.253629, 103.8544 1.269805, 103.8644 1.269805, 103.8646 1.277894, 103.8846 1.277894, 103.8848 1.285982, 103.8947 1.285982, 103.895 1.294071, 103.9249 1.294071, 103.9251 1.302159, 103.9451 1.302159, 103.9453 1.310248, 103.9652 1.310248, 103.9656 1.326425, 103.9756 1.326425, 103.9767 1.366867, 103.9867 1.366867, 103.9869 1.374956, 103.9769 1.374956, 103.9773 1.391133, 103.9374 1.391133, 103.9379 1.40731, 103.9179 1.40731, 103.9183 1.423488, 103.8984 1.423488, 103.8986 1.431576, 103.8886 1.431576, 103.8882 1.415399, 103.8782 1.415399, 103.878 1.40731, 103.868 1.40731, 103.8678 1.399222, 103.8378 1.399222, 103.8376 1.391133, 103.8276 1.391133, 103.8274 1.383045, 103.8174 1.383045, 103.817 1.366867, 103.7871 1.366867, 103.7875 1.383045, 103.7775 1.383045, 103.7777 1.391133, 103.7678 1.391133, 103.768 1.399222, 103.758 1.399222, 103.7584 1.415399, 103.7485 1.415399, 103.7489 1.431576, 103.7589 1.431576)))"
 ]
}

 The dataset includes 1283383 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004960-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7md43
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Aves, Insecta)",
 "Geometry MULTIPOLYGON (((124.4079 40.13067, 124.4182 40.13963, 124.4064 40.13963, 124.3756 40.11277, 124.3874 40.11277, 124.3567 40.08591, 124.3685 40.08591, 124.3583 40.07696, 124.3936 40.07696, 124.4243 40.10382, 124.4361 40.10382, 124.4464 40.11277, 124.4228 40.11277, 124.433 40.12172, 124.4095 40.12172, 124.4197 40.13067, 124.4079 40.13067)))"
 ]
}

 The dataset includes 115 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005057-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31395807
title: <b>Artificial Intelligence in Healthcare: 2025 Year in Review </b>

description: <b>Background</b>Artificial intelligence research in healthcare continues to expand rapidly, with 2025 marking a transition from a text-centric Large Language Model and traditional Deep Learning model focus toward multimodal foundation models. To support the community in tracking these advancements, we conducted a comprehensive qualitative and quantitative ‘Artificial Intelligence Year in Review 2025.’ This dataset, utilized in the Year In Review, is released to provide a standardized, annotated repository of the high-maturity research that defined the field over the past year.<b>Methods</b>On January 1, 2026, PubMed database was queried for the terms "machine learning" or "artificial intelligence" and "2025," with the search restricted to English-language human-subject research. A BERT-based deep learning classifier, pre-trained and validated on manually labeled data, assessed publication maturity from initial results. Additionally, systematic reviews, duplicates, pre-prints, robotic surgery publications, and non-human research were excluded. Five reviewers then manually annotated publications for healthcare specialty, data type, and model type. Publications employing foundation models, including LLMs, Large Vision Models (LVM), and Multimodal Models (FM-MM), were further utilized and included in the dataset.<br><b>Results</b>Our PubMed search yielded 49,394 total articles of which 3,366 were classified as mature, and 2,966 publications were used for analysis and are made available after final exclusions. The dataset reveals a slight decline in classical Machine Learning (173) and a surge in Multimodal Foundation Models (144) when compared to the previous year in review. Imaging remains the dominant specialty (976), though the dataset captures a diversification into Administrative (277) and General (251) categories. Data type distribution shows Image data at 53.9% and Text at 38.2%, with a newly significant emergence of Audio data (1.2%). This dataset tracks the specific trajectories of various specialties, such as Oncology and Surgery, as they adopt higher-capacity foundation models.<b>Conclusion</b>The 2025 dataset captures an inflection point in healthcare AI, documenting the doubling of research volume and the pivotal shift toward multimodal AI models. It is intended for researchers, policy-makers, and clinicians to identify trends and gaps in the current state of healthcare AI research and publications.<b>Data Files Description</b>One data file is provided, which illustrates the annotations of the mature sources used in the 2025 AI in healthcare review publication. The file includes 'DOI', 'Title', 'Abstract', 'Speciality', 'Model', 'Data type', 'PMID', 'Authors', 'Journal', 'First author', 'Citation', 'Year', 'Create Date'. The ‘Speciality’, ‘Model’, and ‘Data Type’ were manually annotated by the BrainXAI research team.
DOI: 10.6084/m9.figshare.31395807.v1
title: <b>Artificial Intelligence in Healthcare: 2025 Year in Review </b>

description: <b>Background</b>Artificial intelligence research in healthcare continues to expand rapidly, with 2025 marking a transition from a text-centric Large Language Model and traditional Deep Learning model focus toward multimodal foundation models. To support the community in tracking these advancements, we conducted a comprehensive qualitative and quantitative ‘Artificial Intelligence Year in Review 2025.’ This dataset, utilized in the Year In Review, is released to provide a standardized, annotated repository of the high-maturity research that defined the field over the past year.<b>Methods</b>On January 1, 2026, PubMed database was queried for the terms "machine learning" or "artificial intelligence" and "2025," with the search restricted to English-language human-subject research. A BERT-based deep learning classifier, pre-trained and validated on manually labeled data, assessed publication maturity from initial results. Additionally, systematic reviews, duplicates, pre-prints, robotic surgery publications, and non-human research were excluded. Five reviewers then manually annotated publications for healthcare specialty, data type, and model type. Publications employing foundation models, including LLMs, Large Vision Models (LVM), and Multimodal Models (FM-MM), were further utilized and included in the dataset.<br><b>Results</b>Our PubMed search yielded 49,394 total articles of which 3,366 were classified as mature, and 2,966 publications were used for analysis and are made available after final exclusions. The dataset reveals a slight decline in classical Machine Learning (173) and a surge in Multimodal Foundation Models (144) when compared to the previous year in review. Imaging remains the dominant specialty (976), though the dataset captures a diversification into Administrative (277) and General (251) categories. Data type distribution shows Image data at 53.9% and Text at 38.2%, with a newly significant emergence of Audio data (1.2%). This dataset tracks the specific trajectories of various specialties, such as Oncology and Surgery, as they adopt higher-capacity foundation models.<b>Conclusion</b>The 2025 dataset captures an inflection point in healthcare AI, documenting the doubling of research volume and the pivotal shift toward multimodal AI models. It is intended for researchers, policy-makers, and clinicians to identify trends and gaps in the current state of healthcare AI research and publications.<b>Data Files Description</b>One data file is provided, which illustrates the annotations of the mature sources used in the 2025 AI in healthcare review publication. The file includes 'DOI', 'Title', 'Abstract', 'Speciality', 'Model', 'Data type', 'PMID', 'Authors', 'Journal', 'First author', 'Citation', 'Year', 'Create Date'. The ‘Speciality’, ‘Model’, and ‘Data Type’ were manually annotated by the BrainXAI research team.
DOI: 10.25949/31323160
title: Data and code for scientific paper: Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a threatened frog, <i>Litoria aurea</i>

description: This project contains data (and a README.txt file), R code for statistical analyses and figure generation for the study: "Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a threatened frog,<i> Litoria aurea</i>".Data was collected in a laboratory using captive-bred frog eggs from artificial mesocosms located in the fauna park at Macquarie University, Sydney, Australia. Egg collection was done between 18 January 2024. Laboratory data was collected between 6 February 2024 and 12 February 2024. The aim of the study was to investigate the ecological and physico-chemical effects of exposure to a globally used aerially deployed long-term firefighting chemicals (Phos-Chek MVP-Fx) at diluted concentrations.The analyses include Linear Models, Linear Mixed Models, Generalised Linear Mixed Models, and post-hoc pairwise comparisons.The figures include a boxplots.<b>Funding</b>. This project is funded by The Ecological Society of Australia in the form of a Holsworth Student Award. Further, this project received funding in the form of a student award from the Frog and Tadpole Society of New South Wales.<b>Ethics statement</b>. All procedures were performed in accordance with the relevant guidelines and regulations approved by Macquarie University Animal Ethics Committee (ARA Number: 2022/017) and in accordance with ARRIVE guidelines.
DOI: 10.25949/31323160.v1
title: Data and code for scientific paper: Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a threatened frog, <i>Litoria aurea</i>

description: This project contains data (and a README.txt file), R code for statistical analyses and figure generation for the study: "Impacts of aerially deployed fire retardant on the survival, development, and behaviour of a threatened frog,<i> Litoria aurea</i>".Data was collected in a laboratory using captive-bred frog eggs from artificial mesocosms located in the fauna park at Macquarie University, Sydney, Australia. Egg collection was done between 18 January 2024. Laboratory data was collected between 6 February 2024 and 12 February 2024. The aim of the study was to investigate the ecological and physico-chemical effects of exposure to a globally used aerially deployed long-term firefighting chemicals (Phos-Chek MVP-Fx) at diluted concentrations.The analyses include Linear Models, Linear Mixed Models, Generalised Linear Mixed Models, and post-hoc pairwise comparisons.The figures include a boxplots.<b>Funding</b>. This project is funded by The Ecological Society of Australia in the form of a Holsworth Student Award. Further, this project received funding in the form of a student award from the Frog and Tadpole Society of New South Wales.<b>Ethics statement</b>. All procedures were performed in accordance with the relevant guidelines and regulations approved by Macquarie University Animal Ethics Committee (ARA Number: 2022/017) and in accordance with ARRIVE guidelines.
DOI: 10.15468/dl.rx6ujh
title: Occurrence Download

description: A dataset containing 4671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Aves, Insecta)",
 "Geometry MULTIPOLYGON (((125.554 -8.544645, 125.5523 -8.536522, 125.5222 -8.536522, 125.5239 -8.544645, 125.5038 -8.544645, 125.5054 -8.552767, 125.4954 -8.552767, 125.497 -8.560889, 125.5171 -8.560889, 125.5188 -8.569012, 125.5288 -8.569012, 125.5321 -8.585257, 125.5422 -8.585257, 125.5405 -8.577135, 125.6209 -8.577135, 125.6192 -8.569012, 125.6293 -8.569012, 125.6276 -8.560889, 125.6176 -8.560889, 125.6159 -8.552767, 125.6059 -8.552767, 125.6042 -8.544645, 125.554 -8.544645)))"
 ]
}

 The dataset includes 4671 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005059-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qf9yvc
title: Occurrence Download

description: A dataset containing 6229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Colombia",
 "TaxonKey is Leopardus pardalis"
 ]
}

 The dataset includes 6229 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005056-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6w0-ad4-ssw
title: Ruellia hypericoides (Nees) Lindau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9fy-k24-ak5
title: Clistax brasiliensis Mart.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bt2-jt4-1h0
title: Ruellia geminiflora Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t0k-lme-hnl
title: Centaurea gudrunensis Boiss. & Hausskn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/efk-p11-2z2
title: Centaurea ispahanica Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1sa-pkn-9ev
title: Ruellia hypericoides (Nees) Lindau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kj8-j69-jcl
title: Ammi majus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.ye78w4
title: Occurrence Download

description: A dataset containing 43281 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 (Sarkidiornis melanotos)",
 "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 43281 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075476-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/qft-fbw-3lk
title: Ruellia Plum. ex L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sl2-qsw-d1y
title: Justicia polita (Nees) Profice

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/45h-mj2-tr3
title: Ruellia Plum. ex L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/30t-pwn-esk
title: Centaurea spectabilis (Fisch. & C. A. Mey.) Sch. Bip.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q8n-m33-1rh
title: Ruellia brevifolia (Pohl) C. Ezcurra

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3vd-0a3-a06
title: Ruellia jussieuoides Schltdl. & Cham.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zn0-5wp-yva
title: Ruellia viscidula (Mart. ex Nees) Lindau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/00r-ecb-6yy
title: Galium hypocarpium (L.) Endl. ex Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/60y-eb0-6nx
title: Ruellia viscidula (Mart. ex Nees) Lindau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pzt-fht-0ct
title: Ruellia salviifolia (Nees) Profice

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/esy-ycd-rds
title: Jacobaea insubrica (Chenevard) Galasso & Bartolucci

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k9v-c2j-10d
title: Chomelia obtusa Cham. & Schltdl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1ye-4l3-wd4
title: Jacobaea carniolica (Willd.) Schrank

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wea-2rx-zll
title: Jacobaea disjuncta (Flatscher, Schneew. & Schönsw.) Galasso & Bartolucci

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lgq-gcz-b12
title: Senecio L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4mx-5qc-4p7
title: Geissomeria longiflora Lindl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k2z-tjj-70d
title: Aphelandra longiflora (Lindl.) Profice

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jek-8ry-axs
title: Chamaeranthemum beyrichii Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l4t-xfz-dje
title: Stylidium spathulatum R. Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0wk-2pr-pn0
title: Stylidium falcatum R. Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pzk-f1n-3lp
title: Ruellia solitaria Vell.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lgp-y2z-4wp
title: Zoegea crinita Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x7v-2dn-fdq
title: Ophrys argolica H.Fleischm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.8qgh77
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasioglossum indistinctum"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075477-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/p96-slb-10f
title: Dianthera brasiliensis Vell.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5067/qd0eb4tqgg6a
title: AMSR-E/Aqua Daily L3 25 km Brightness Temperature & Sea Ice Concentration Polar Grids, Version 4
DOI: 10.3535/fyp-h6s-j30
title: Justicia plumbaginifolia J. Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v98-3xs-w4n
title: Justicia rigida Balf. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2rv-22n-v58
title: Dianthera brasiliensis Vell.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h8s-9zm-t00
title: Helichrysum plicatum subsp. pseudoplicatum (Nábelek) Davis & Kupicha

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5067/svvxo1wxdslw
title: AMSR-E/Aqua Daily L3 6.25 km 89 GHz Brightness Temperature Polar Grids, Version 4
DOI: 10.3535/25w-2gq-pza
title: Justicia monticola (Nees) Profice

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n1t-25m-w58
title: Aphelandra squarrosa Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3mc-bn9-pym
title: Thyrsacanthus ramosus (Pohl ex Nees) A. L. A. Côrtes & Rapini

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ewm-r5q-1bw
title: Pterocaulon redolens (G. Forst.) Fern.-Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8a1-trw-f8k
title: Pterocaulon serrulatum (Montrouz.) Guillaumin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d9l-ret-64d
title: Manihot esculenta Crantz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5067/j00n1dzzhgw9
title: AMSR-E/Aqua Daily L3 12.5 km Brightness Temperature, Sea Ice Concentration, & Snow Depth Polar Grids, Version 4
DOI: 10.3535/dnp-5r3-jem
title: Anthemis hebronica Boiss. & Kotschy

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s8x-n12-b29
title: Inula viscidula Boiss. & Kotschy

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p8v-b8j-psm
title: Justicia parabolica (Nees) Profice

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0by-mqe-esr
title: Gymnostachyum Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qb5-s01-vxn
title: Pteris biaurita L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8l5-dlz-r34
title: Hygrophila costata Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ps8-f80-sae
title: Cephalaria juncea Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fyc-0kj-12g
title: Lysinema pentapetalum R. Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m6s-zk0-te2
title: Centaurea longepedunculata Sch. Bip.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6w7-n9d-cpe
title: Odontonema barlerioides (Nees) Kuntze

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s7g-3d5-fd2
title: Centaurea gigantea Sch. Bip.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kw6-hr1-hz7
title: Aphelandra squarrosa Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tem-91m-t6h
title: Dyschoriste erythrorhiza (Nees) Lindau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q0m-asf-xgg
title: Dianthera laevilinguis (Nees) Lindau

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