cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14882307.v2
title: Mobile Banking Adoption and Usage among Malaysians of Generation Y

description: By 2018, the Malaysian mobile banking services made the third largest amount of banking transactions following credit card and internet banking. Besides, it is significantly contributing to the banking industry by providing greater ease of transactions to the banking consumers. This study examines factors affecting the intention to use and the actual use of mobile banking services in Malaysia. Two main theories of unified theory of acceptance and use of technology – extended version (UTAUT2) and the model of perceived risk are used to propose a modified framework. Using questionnaires, the data are collected from 504 respondents. The data is analyzed by SPSS and PLS-SEM to acquire the findings. The findings of the study reveals that the independent variables can explain 55.3% variance in mobile banking use and 60.3% variance in Intention to use variables. Moreover, it demonstrates that common factors that have affected significantly on the actual use and intention to use of mobile banking are habit, facilitating condition, interface design quality. Whereas Perceived risk and intentional use are found to have significant impacts on only the use of mobile banking, while effort expectancy is found to have only significant impact on only the intention to use.
DOI: 10.6084/m9.figshare.3761562.v2020
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v2019
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.16807909.v5
title: Bioblitz Data

description: BIOL 3250 Bioblitz Data and Meta-Data
DOI: 10.6084/m9.figshare.16807909.v4
title: Bioblitz Data

description: BIOL 3250 Bioblitz Data and Meta-Data
DOI: 10.6084/m9.figshare.16657876.v1
title: Next generation Glucose-1-phosphate thymidylyltransferase (RmlA) inhibitors: An extended SAR study to direct future design

description: Raw data for next generation Glucose-1-phosphate thymidylyltransferase (RmlA) inhibitors: An extended SAR study to direct future design.
DOI: 10.6084/m9.figshare.16800004.v4
title: Animal biodiversity distribution across different parks in North York, Ontario.

description: This is my data and meta-data of species observed in 8 different parks in North york Ontario. This is a park bioblitz experiment.<br>
DOI: 10.6084/m9.figshare.16800004.v3
title: Biodiversity distribution across different parks in North York, Ontario.

description: This is my data and meta-data of species observed in 8 different parks in North york Ontario. This is a park bioblitz experiment.<br>
DOI: 10.6084/m9.figshare.14825133.v1
title: Network model input files for Pribilof Islands, Georges Bank, and Mid-Barataria Basin systems

description: Input files for Qualitative Network Models, Fuzzy Cognitive Maps, and Bayesian Belief Networks of marine ecological systems analyzed in the manuscript:<br>Network approaches for formalizing conceptual models in ecosystem-based management<br><br>Jonathan C.P. Reum, Christopher R. Kelble, Chris J. Harvey, Robert Wildermuth, Neda Trifonova, Sean M. Lucey, P. Sean McDonald, Howard Townsend. ICES Journal of Marine Science, doi: 10.1093/icesjms/fsab211
DOI: 10.48370/ofd/08cuqp/f0wgub
title: Golovinomyces sonchicola U. Braun & R.T.A. Cook F-0728.tif

description: :unav
DOI: 10.48370/ofd/08cuqp
title: Golovinomyces sonchicola U. Braun R.T.A. Cook, 728

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.16863514.v2
title: Figure.1a.xlsx

description: Quantitative Reverse-Transcription PCR (q-RT-PCR) of <i>Reg4</i> mRNA in different organs of mice. 4 - 6 mice per group. Values were normalized to <i>Actb</i> expression.
DOI: 10.6084/m9.figshare.16699156.v1
title: Metagenomic Next-Generation Sequencing Successfully Detects Pulmonary Infectious Pathogens in Children with Hematologic Malignancy

description: Pulmonary infection is a leading cause of mortality in pediatric patients with hematologic malignancy (HM). In clinical settings, pulmonary pathogens are frequently undetectable, and empiric therapies may be costly, ineffective and lead to poor outcomes in this vulnerable population. Metagenomic next-generation sequencing (mNGS) enhances pathogen detection, but data on its application in pediatric patients with HM and pulmonary infections are scarce.
DOI: 10.6084/m9.figshare.3761562.v2023
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v2022
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.48370/ofd/bco1pb/loknak
title: Golovinomyces sonchicola U. Braun & R.T.A. Cook F-0431.tif

description: :unav
DOI: 10.48370/ofd/bco1pb
title: Golovinomyces sonchicola U. Braun R.T.A. Cook, 431

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.9616319.v1
title: MUG500+ Repository

description: Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants.<br>Please use the following citations if you use them in your work:<br>Li J., et al. MUG500+ Repository. Figshare, 2021. DOI: 10.6084/m9.figshare.9616319<br>Li J., et al. MUG500+: Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants. Data in Brief, Elsevier, 2021.<br>A recorded tutorial video about the semi-automatic cranial implant design workflow with Geomagic Sculpt can be viewed at:<br>https://www.youtube.com/watch?v=FzaR3ydjaSc<br>
DOI: 10.6084/m9.figshare.12130980.v117
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.12130980.v116
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.13366730.v1
title: Morphometric Study of Craters on Rhea

description: Figures and accompanying data for :Aponte-Hernandez et al. (2021) PSJ, DOI: 10.6084/m9.figshare.13366730.<br>All data is provided as a .txt file in csv and figures in .pdf. <br>%%%% Data %%%%<br> Simple_RheaData.txt contains data only from craters classified as simple and Complex_RheaData.txt contains data from craters classified as complex.Simple_RheaData.txt and Complex_RheaData.txt each consists of eight columns. From left to right the values correspond to the following variables: Diameter (km), Diameter error, depth (km), depth error, d/D, d/D error, Crater wall slope and Crater wall slope error.<br>The file transition.txt has two columns. The first column contains the surface gravity in cm/s^2 and the second column has reported transition diameters for icy and rocky bodies in km.
DOI: 10.6084/m9.figshare.16686094.v1
title: Background suppression in a multimode fiber CARS endoscope

description: Dataset for publication "Suppression of the non-linear background in a multimode fiber CARS endoscope"The HDR images of the foci underlying figure 4 is not included due to their size (GBs) They can be obtained from the authors upon reasonable request.
DOI: 10.6084/m9.figshare.14865870.v3
title: DATA: Learning Words While Listening to Syllables: Electrophysiological Correlates of Statistical Learning in Children and Adults

description: Accuracy data and N1 and N400 ERP data from an auditory statitical learning paradigm. Participants were exposed to a continuous stream made up of triplets with high and low transitional probabilities. In a subsequent ecognition phase, learning was tested using a 2-AFC task. Participants performed firstly the implicit version of the task (i.e., without instructions of the content and structure of the stream of syllables); after that, they performed the same task with different stimuli, in this case under explicit instructions.
DOI: 10.6084/m9.figshare.14865870.v2
title: DATA: Developmental Differences in the Online Statistical Learning of Complex Speech Streams: An ERP Study with Children and Adults

description: Accuracy data and N1 and N400 ERP data from an auditory statitical learning paradigm. Participants were exposed to a continuous stream made up of triplets with high and low transitional probabilities. In a subsequent ecognition phase, learning was tested using a 2-AFC task. Participants performed firstly the implicit version of the task (i.e., without instructions of the content and structure of the stream of syllables); after that, they performed the same task with different stimuli, in this case under explicit instructions.
DOI: 10.6084/m9.figshare.16892353.v1
title: Dataset for effects of diet on triatomine shape

description: This dataset contains the results of an experiment where diet and the time food was provided were manipulated using Triatoma pallidipennis bugs
DOI: 10.48370/ofd/44hefz/mawxij
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-0680.tif

description: :unav
DOI: 10.48370/ofd/44hefz
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 680

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.14703801.v1
title: Data File 3: Details of sample processing and sequencing runs

description: Details of sample processing and sequencing runs
DOI: 10.48370/ofd/8zkymb/oejy7t
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-2649.tif

description: :unav
DOI: 10.48370/ofd/8zkymb
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 2649

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.3759321.v1
title: Critical current characterisation of Fujikura 2G HTS superconducting wire

description: Detailed measurements of the critical current of a commercial 2G HTS YBCO wire as a function of temperature, magnetic field, and field angle, performed at the Robinson Research Institute of Victoria University of Wellington.
DOI: 10.6084/m9.figshare.16879876.v2
title: Data for ocean wave inversion based on the Doppler information

description: <br>The Doppler frequency shift and orbital velocity of the water waves is extracted from high-resolution airborne SAR data. The sea wave spectrum retrieved from line-of-sight velocity of wave and the in situ buoy measurement results.<br>
DOI: 10.6084/m9.figshare.16879876.v1
title: Data for ocean wave inversion based on the Doppler information

description: <br>The Doppler frequency shift and orbital velocity of the water waves is extracted from high-resolution airborne SAR data. The sea wave spectrum retrieved from line-of-sight velocity of wave and the in situ buoy measurement results.<br>
DOI: 10.6084/m9.figshare.16903204.v1
title: cGAS in human cancers

description: row data of cGAS in human cancer
DOI: 10.48370/ofd/qvhhga/xzc8ub
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-1986.tif

description: :unav
DOI: 10.48370/ofd/qvhhga
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 1986

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.16905058.v1
title: SOI tables

description: Sequencing libraries and corresponding methods as well as IMG/M bin ID numbers, statistics, and processing method for metagenome assembled genomes contained in "Metagenomes and metagenome-assembled genomes from substrate-amended hot spring sediment incubations from Yellowstone National Park", Microbiology Resource Announcements
DOI: 10.6084/m9.figshare.3761562.v2029
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v2028
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.6146390.v2
title: Test 1

description: This is for test.<br>
DOI: 10.6084/m9.figshare.6146390.v1
title: N2O emissions from California croplands

description: The data from the manuscript entitled "Changes in Irrigation Practices likely Mitigate Nitrous Oxide Emissions from California Cropland".<br>
DOI: 10.48370/ofd/dswlsr/db3xb4
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-0960.tif

description: :unav
DOI: 10.48370/ofd/dswlsr
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 960

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.16864006.v6
title: Dataset

description: Dataset and tools
DOI: 10.6084/m9.figshare.16864006.v5
title: Dataset

description: Dataset and tools
DOI: 10.48370/ofd/bgdyci/dhelet
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-0959.tif

description: :unav
DOI: 10.48370/ofd/bgdyci
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 959

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/rganpl/cknha4
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-0649.tif

description: :unav
DOI: 10.48370/ofd/rganpl
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 649

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/kfqidt/pciyk7
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-0506.tif

description: :unav
DOI: 10.48370/ofd/kfqidt
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 506

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/uhocf7/c6t3z1
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-0504.tif

description: :unav
DOI: 10.48370/ofd/uhocf7
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 504

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/i7sfxs/c1v0or
title: Golovinomyces sordidus (L. Junell) V.P. Heluta F-0504.tif

description: :unav
DOI: 10.48370/ofd/i7sfxs
title: Golovinomyces sordidus (L. Junell) V.P. Heluta, 504

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/ggsdjl/xdlfcl
title: Golovinomyces valerianae (Jacz.) V.P. Heluta F-0542.tif

description: :unav
DOI: 10.48370/ofd/ggsdjl
title: Golovinomyces valerianae (Jacz.) V.P. Heluta, 542

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/h21l6l
title: Botryohypochnus isabellinum (Fr.) J.Erikss., 463

description: Fungarium Macromycetes
DOI: 10.5519/qd.r1mnz9uz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.48370/ofd/xjfvff/v3ecd3
title: Golovinomyces verbasci (Jacz.) V.P. Heluta F-2436.tif

description: :unav
DOI: 10.48370/ofd/xjfvff
title: Golovinomyces verbasci (Jacz.) Heluta, 2436

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/5a1zcd/9hqyvp
title: Golovinomyces verbasci (Jacz.) V.P. Heluta F-0638.tif

description: :unav
DOI: 10.48370/ofd/5a1zcd
title: Golovinomyces verbasci (Jacz.) Heluta, 638

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/sqaaml/n6lcpr
title: Golovinomyces verbasci (Jacz.) V.P. Heluta F-0531.tif

description: :unav
DOI: 10.48370/ofd/sqaaml
title: Golovinomyces verbasci (Jacz.) Heluta, 531

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/vuezca/mboids
title: Golovinomyces verbasci (Jacz.) Heluta F-4418 (2).tif

description: :unav
DOI: 10.48370/ofd/vuezca/kmkf0p
title: Golovinomyces verbasci (Jacz.) Heluta F-4418.tif

description: :unav
DOI: 10.48370/ofd/vuezca/atyayf
title: Golovinomyces verbasci (Jacz.) Heluta F-4418 (3).tif

description: :unav
DOI: 10.48370/ofd/vuezca/3v6l3d
title: Golovinomyces verbasci (Jacz.) V.P. Heluta F-4418.tif

description: :unav
DOI: 10.48370/ofd/vuezca
title: Golovinomyces verbasci (Jacz.) Heluta, 4418

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/0jqvfv/fnqomw
title: Golovinomyces verbasci (Jacz.) V.P. Heluta F-0532.tif

description: :unav
DOI: 10.48370/ofd/0jqvfv
title: Golovinomyces verbasci (Jacz.) Heluta, 532

description: Fungarium Mikromycetes
DOI: 10.34740/kaggle/dsv/3129063
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.48370/ofd/hvh2dq/uiuq2y
title: Hyaloperonospora niessleana (Berl.) Constant. F-0908.tif

description: :unav
DOI: 10.48370/ofd/hvh2dq/y8xrt6
title: Hyaloperonospora niessleana (Berl.) Constant. F-0908 (4).tif

description: :unav
DOI: 10.48370/ofd/hvh2dq/2jmgxm
title: Hyaloperonospora niessleana (Berl.) Constant. F-0908 (2).tif

description: :unav
DOI: 10.48370/ofd/hvh2dq/w5illa
title: Hyaloperonospora niessleana (Berl.) Constant. F-0908 (3).tif

description: :unav
DOI: 10.48370/ofd/hvh2dq/z27xuj
title: Hyaloperonospora niessleana (Berl.) Constant. F-0908.jpg

description: :unav
DOI: 10.48370/ofd/hvh2dq/ajddjo
title: Hyaloperonospora niessleana (Berl.) Constant. F-0908 (5).tif

description: :unav
DOI: 10.48370/ofd/hvh2dq
title: Hyaloperonospora niessleana (Berl.) Constant., 908

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/zilg92/rzdcvy
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr F-2452.tif

description: :unav
DOI: 10.48370/ofd/zilg92
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr, 2452

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/2ntyj1/7lulyk
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr F-1977 (3).tif

description: :unav
DOI: 10.48370/ofd/2ntyj1/of8cgu
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr F-1977.tif

description: :unav
DOI: 10.48370/ofd/2ntyj1/cpofou
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr F-1977 (4).tif

description: :unav
DOI: 10.48370/ofd/2ntyj1/mpznpg
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr F-1977 (2).tif

description: :unav
DOI: 10.48370/ofd/2ntyj1
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr, 1977

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/lj3qey/lcygog
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr F-1468.tif

description: :unav
DOI: 10.48370/ofd/lj3qey
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr, 1468

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/eth0qd/qvmmn6
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr F-0171.tif

description: :unav
DOI: 10.48370/ofd/eth0qd
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr, 171

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/l5lulc/p6icrh
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr F-0170.tif

description: :unav
DOI: 10.48370/ofd/l5lulc
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr, 170

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/p7ug49/asyxhc
title: Hyaloperonospora dentariae.macrophyllae Voglmayr F-2346.tif

description: :unav
DOI: 10.48370/ofd/p7ug49
title: Hyaloperonospora dentariae (Rabenh.) Voglmayr, 2346

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/kdglae/dgvk85
title: Hyaloperonospora dentariae.macrophyllae Voglmayr F-1124 (2).tif

description: :unav
DOI: 10.48370/ofd/kdglae/dp2j6p
title: Hyaloperonospora dentariae.macrophyllae Voglmayr F-1124 (3).tif

description: :unav
DOI: 10.48370/ofd/kdglae/mhdfqo
title: Hyaloperonospora dentariae.macrophyllae Voglmayr F-1124.tif

description: :unav
DOI: 10.48370/ofd/kdglae/3atvsk
title: Hyaloperonospora dentariae.macrophyllae Voglmayr F-1124 (4).tif

description: :unav