cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/8zdutl/59ur9e
title: HMW_Sonchus_asper_(L.)_Hill_H_6224.jpg

description: :unav
DOI: 10.48370/ofd/8zdutl
title: Mlecz kolczasty (Sonchus asper (L.) Hill), 6224

description: Herbarium
DOI: 10.48370/ofd/fq7bq5/jhbgov
title: HMW_Sonchus_asper_(L.)_Hill_H_3952.jpg

description: :unav
DOI: 10.48370/ofd/fq7bq5
title: Mlecz kolczasty (Sonchus asper (L.) Hill), 3952

description: Herbarium
DOI: 10.48370/ofd/fa93fo/l1lwdd
title: HMW_Sonchus_arvensis_L._H_3774.jpg

description: :unav
DOI: 10.48370/ofd/fa93fo
title: Mlecz polny (Sonchus arvensis L.), 3774

description: Herbarium
DOI: 10.48370/ofd/2wjyxd/k8ync8
title: HMW_Sonchus_arvensis_L._H_3655.jpg

description: :unav
DOI: 10.48370/ofd/2wjyxd
title: Mlecz polny (Sonchus arvensis L.), 3655

description: Herbarium
DOI: 10.48370/ofd/yyzzfx/qkbrh3
title: HMW_Sonchus_arvensis_L._H_0765.jpg

description: :unav
DOI: 10.48370/ofd/yyzzfx
title: Mlecz polny (Sonchus arvensis L.), 765

description: Herbarium
DOI: 10.48370/ofd/kts1l6/auih9g
title: HMW_Sonchus_arvensis_L._H_0967.jpg

description: :unav
DOI: 10.48370/ofd/kts1l6
title: Mlecz polny (Sonchus arvensis L.), 967

description: Herbarium
DOI: 10.48370/ofd/oyswmo/phabct
title: HMW_Sonchus_arvensis_L._H_0731.jpg

description: :unav
DOI: 10.48370/ofd/oyswmo
title: Mlecz polny (Sonchus arvensis L.), 731

description: Herbarium
DOI: 10.6084/m9.figshare.16599173.v1
title: Collaborative healthcare education programmes for continuing professional education in low and middle-income countries: A Best Evidence Medical Education (BEME) systematic review. BEME Guide No. 65

description: Large discrepancies exist between standards of healthcare provision in high-income (HICs) and low and middle-income countries (LMICs). The root cause is often financial, resulting in poor infrastructure and under-resourced education and healthcare systems. Continuing professional education (CPE) programmes improve staff knowledge, skills, retention, and practice, but remain costly and rare in low-resource settings. One potential solution involves healthcare education collaborations between institutions in HICs and LMICs to provide culturally appropriate CPE in LMICs. To be effective, educational partnerships must address the challenges arising from differences in cultural norms, language, available technology and organisational structures within collaborating countries. Seven databases and other sources were systematically searched on 7 July 2020 for relevant studies. Citations, abstracts, and studies were screened and consensus was reached on which to include within the review. 54 studies were assessed regarding the type of educational programme involved, the nature of HIC/LMIC collaboration and quality of the study design. Studies varied greatly regarding the types and numbers of healthcare professionals involved, pedagogical and delivery methods, and the ways in which collaboration was undertaken. Barriers and enablers of collaboration were identified and discussed. The key findings were: 1. The methodological quality of reporting in the studies was generally poor. 2. The way in which HIC/LMIC healthcare education collaboration is undertaken varies according to many factors, including what is to be delivered, the learner group, the context, and the resources available. 3. Western bias was a major barrier. 4. The key to developing successful collaborations was the quality, nature, and duration of the relationships between those involved. This review provides insights into factors that underpin successful HIC/LMIC healthcare CPE collaborations and outlines inequities and quality issues in reporting.
DOI: 10.6084/m9.figshare.16599173
title: Collaborative healthcare education programmes for continuing professional education in low and middle-income countries: A Best Evidence Medical Education (BEME) systematic review. BEME Guide No. 65

description: Large discrepancies exist between standards of healthcare provision in high-income (HICs) and low and middle-income countries (LMICs). The root cause is often financial, resulting in poor infrastructure and under-resourced education and healthcare systems. Continuing professional education (CPE) programmes improve staff knowledge, skills, retention, and practice, but remain costly and rare in low-resource settings. One potential solution involves healthcare education collaborations between institutions in HICs and LMICs to provide culturally appropriate CPE in LMICs. To be effective, educational partnerships must address the challenges arising from differences in cultural norms, language, available technology and organisational structures within collaborating countries. Seven databases and other sources were systematically searched on 7 July 2020 for relevant studies. Citations, abstracts, and studies were screened and consensus was reached on which to include within the review. 54 studies were assessed regarding the type of educational programme involved, the nature of HIC/LMIC collaboration and quality of the study design. Studies varied greatly regarding the types and numbers of healthcare professionals involved, pedagogical and delivery methods, and the ways in which collaboration was undertaken. Barriers and enablers of collaboration were identified and discussed. The key findings were: 1. The methodological quality of reporting in the studies was generally poor. 2. The way in which HIC/LMIC healthcare education collaboration is undertaken varies according to many factors, including what is to be delivered, the learner group, the context, and the resources available. 3. Western bias was a major barrier. 4. The key to developing successful collaborations was the quality, nature, and duration of the relationships between those involved. This review provides insights into factors that underpin successful HIC/LMIC healthcare CPE collaborations and outlines inequities and quality issues in reporting.
DOI: 10.6084/m9.figshare.14783205
title: Thinking differently – Students’ cognitive processes when answering two different formats of written question

description: Single-best answer questions (SBAQs) are common but are susceptible to cueing. Very short answer questions (VSAQs) could be an alternative, and we sought to determine if students’ cognitive processes varied across question types and whether students with different performance levels used different methods for answering questions. We undertook a ‘think aloud’ study, interviewing 21 final year medical students at five UK medical schools. Each student described their thought processes and methods used for eight questions of each type. Responses were coded and quantified to determine the relative frequency with which each method was used, denominated on the number of times a method could have been used. Students were more likely to use analytical reasoning methods (specifically identifying key features) when answering VSAQs. The use of test-taking behaviours was more common for SBAQs; students frequently used the answer options to help them reach an answer. Students acknowledged uncertainty more frequently when answering VSAQs. Analytical reasoning was more commonly used by high-performing students compared with low-performing students. Our results suggest that VSAQs encourage more authentic clinical reasoning strategies. Differences in cognitive approaches used highlight the need for focused approaches to teaching clinical reasoning and dealing with uncertainty.
DOI: 10.6084/m9.figshare.14783205.v1
title: Thinking differently – Students’ cognitive processes when answering two different formats of written question

description: Single-best answer questions (SBAQs) are common but are susceptible to cueing. Very short answer questions (VSAQs) could be an alternative, and we sought to determine if students’ cognitive processes varied across question types and whether students with different performance levels used different methods for answering questions. We undertook a ‘think aloud’ study, interviewing 21 final year medical students at five UK medical schools. Each student described their thought processes and methods used for eight questions of each type. Responses were coded and quantified to determine the relative frequency with which each method was used, denominated on the number of times a method could have been used. Students were more likely to use analytical reasoning methods (specifically identifying key features) when answering VSAQs. The use of test-taking behaviours was more common for SBAQs; students frequently used the answer options to help them reach an answer. Students acknowledged uncertainty more frequently when answering VSAQs. Analytical reasoning was more commonly used by high-performing students compared with low-performing students. Our results suggest that VSAQs encourage more authentic clinical reasoning strategies. Differences in cognitive approaches used highlight the need for focused approaches to teaching clinical reasoning and dealing with uncertainty.
DOI: 10.48370/ofd/zqs6g2/pinako
title: HMW_Solidago_x_niederederi_=_S._canadensis_x_S._virgaurea_H_9413.jpg

description: :unav
DOI: 10.48370/ofd/zqs6g2
title: Solidago x niederederi Khek, 9413

description: Herbarium
DOI: 10.48370/ofd/xy5io5/akkou6
title: HMW_Solidago_x_niederederi_=_S._canadensis_x_S._virgaurea_H_9412.jpg

description: :unav
DOI: 10.48370/ofd/xy5io5
title: Solidago x niederederi Khek, 9412

description: Herbarium
DOI: 10.48370/ofd/wfmokj/9ikztg
title: HMW_Solidago_virgaurea_L._H_3835.jpg

description: :unav
DOI: 10.48370/ofd/wfmokj
title: Nawłoć pospolita (Solidago virgaurea L.), 3835

description: Herbarium
DOI: 10.48370/ofd/8flxjf/oljumt
title: HMW_Solidago_virgaurea_L._H_5207.jpg

description: :unav
DOI: 10.48370/ofd/8flxjf
title: Nawłoć pospolita (Solidago virgaurea L.), 5207

description: Herbarium
DOI: 10.5517/ccdc.csd.cc248n03
title: CCDC 1974514: Experimental Crystal Structure Determination

description: Related Article: Jingui Duan|2019|CSD Communication|||
description: Related Article: Shuang Liu, Yuhang Huang, Qiubing Dong, Huijie Wang, Jingui Duan|2020|Inorg.Chem.|59|9569|doi:10.1021/acs.inorgchem.0c00507
DOI: 10.5517/ccdc.csd.cc248n14
title: CCDC 1974515: Experimental Crystal Structure Determination

description: Related Article: Jingui Duan|2019|CSD Communication|||
description: Related Article: Shuang Liu, Yuhang Huang, Qiubing Dong, Huijie Wang, Jingui Duan|2020|Inorg.Chem.|59|9569|doi:10.1021/acs.inorgchem.0c00507
DOI: 10.5517/ccdc.csd.cc248n36
title: CCDC 1974517: Experimental Crystal Structure Determination

description: Related Article: Jingui Duan|2019|CSD Communication|||
description: Related Article: Shuang Liu, Yuhang Huang, Qiubing Dong, Huijie Wang, Jingui Duan|2020|Inorg.Chem.|59|9569|doi:10.1021/acs.inorgchem.0c00507
DOI: 10.5517/ccdc.csd.cc249j99
title: CCDC 1975360: Experimental Crystal Structure Determination

description: Related Article: Lei Li|2020|CSD Communication|||
description: Related Article: Lei Li, Xiang Wang, Na Xu, Zhihan Chang, Guocheng Liu, Hongyan Lin, Xiuli Wang|2020|CrystEngComm|22|8322|doi:10.1039/D0CE01239D
DOI: 10.48370/ofd/odvxdg/f7vsom
title: HMW_Solidago_virgaurea_L._H_0036.jpg

description: :unav
DOI: 10.5517/ccdc.csd.cc249jbb
title: CCDC 1975361: Experimental Crystal Structure Determination

description: Related Article: Lei Li|2020|CSD Communication|||
description: Related Article: Lei Li, Xiang Wang, Na Xu, Zhihan Chang, Guocheng Liu, Hongyan Lin, Xiuli Wang|2020|CrystEngComm|22|8322|doi:10.1039/D0CE01239D
DOI: 10.48370/ofd/odvxdg
title: Nawłoć pospolita (Solidago virgaurea L.), 36

description: Herbarium
DOI: 10.5517/ccdc.csd.cc249jcc
title: CCDC 1975362: Experimental Crystal Structure Determination

description: Related Article: Lei Li|2020|CSD Communication|||
description: Related Article: Lei Li, Xiang Wang, Na Xu, Zhihan Chang, Guocheng Liu, Hongyan Lin, Xiuli Wang|2020|CrystEngComm|22|8322|doi:10.1039/D0CE01239D
DOI: 10.5517/ccdc.csd.cc249jdd
title: CCDC 1975363: Experimental Crystal Structure Determination

description: Related Article: Lei Li|2020|CSD Communication|||
description: Related Article: Lei Li, Xiang Wang, Na Xu, Zhihan Chang, Guocheng Liu, Hongyan Lin, Xiuli Wang|2020|CrystEngComm|22|8322|doi:10.1039/D0CE01239D
DOI: 10.48370/ofd/kpj3uv/ongqr4
title: HMW_Solidago_virgaurea_L._H_1345.jpg

description: :unav
DOI: 10.48370/ofd/kpj3uv
title: Nawłoć pospolita (Solidago virgaurea L.), 1345

description: Herbarium
DOI: 10.48370/ofd/1v3xee/euy6jp
title: HMW_Solidago_gigantea_Aiton_H_7740.jpg

description: :unav
DOI: 10.48370/ofd/1v3xee
title: Nawłoć późna (Solidago gigantea Aiton), 7740

description: Herbarium
DOI: 10.48370/ofd/8dv1nw/pgmwwz
title: HMW_Solidago_gigantea_Aiton_H_4159.jpg

description: :unav
DOI: 10.48370/ofd/8dv1nw
title: Nawłoć późna (Solidago gigantea Aiton), 4159

description: Herbarium
DOI: 10.48370/ofd/dgpvdn/fv8w9u
title: HMW_Solidago_gigantea_Aiton_H_4161.jpg

description: :unav
DOI: 10.48370/ofd/dgpvdn
title: Nawłoć późna (Solidago gigantea Aiton), 4161

description: Herbarium
DOI: 10.48370/ofd/ben3wa/ypdstt
title: HMW_Solidago_gigantea_Aiton_H_4386.jpg

description: :unav
DOI: 10.48370/ofd/ben3wa
title: Nawłoć późna (Solidago gigantea Aiton), 4386

description: Herbarium
DOI: 10.5281/zenodo.5795270
title: Generated RGBD Tracking Benchmarks (COCO2017)

description: We convert the existing RGB tracking benchmakrs, eg. COCO, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the COCO page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5795269
title: Generated RGBD Tracking Benchmarks (COCO2017)

description: We convert the existing RGB tracking benchmakrs, eg. COCO, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the COCO page for the RGB images and the groundtruths.
DOI: 10.6084/m9.figshare.17306939
title: Dataset on self-reported spatial behaviours adult lifespan.xlsx

description: 456 participants, from 25 to 84 years oldInformation about:- gender- age- education- self reported frequency of: going out, experience of reaching an unfamiliar place, losing in an unfamiliar place, map use, GPS use, verbal indication use- visuospatial working memory task (jigsaw puzzle test)- questionnaires on wayfinding attitudes: sense of direction and spatial representation scale, attitudes toward orientation task scale (pleasure in exploring places), and spatial anxiety scale
DOI: 10.6084/m9.figshare.17306939.v1
title: Dataset on self-reported spatial behaviours adult lifespan.xlsx

description: 456 participants, from 25 to 84 years oldInformation about:- gender- age- education- self reported frequency of: going out, experience of reaching an unfamiliar place, losing in an unfamiliar place, map use, GPS use, verbal indication use- visuospatial working memory task (jigsaw puzzle test)- questionnaires on wayfinding attitudes: sense of direction and spatial representation scale, attitudes toward orientation task scale (pleasure in exploring places), and spatial anxiety scale
DOI: 10.5281/zenodo.5795286
title: Generated RGBD Tracking Benchmarks (Got10K) 1-700

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5592278
title: Supplemental data to Magnitude and Origin of CO2 evasion from high-latitude lakes

description: Supplemental dataset to the publication: Supplemental data to Seasonal Shifts in Magnitude and Source Contribution of CO2 evasion from High-latitude Lakes submitted to Journal of Geophysical Research: Biogeosciences
DOI: 10.5281/zenodo.5794660
title: WAP penguins_Nelson_Chinstrap_animalbornevideo_2018_2019

description: Animal-borne video data and associated dive logger / accelerometer / magnetometer tag data from 4 chinstrap penguins.
DOI: 10.5281/zenodo.5794659
title: WAP penguins_Nelson_Chinstrap_animalbornevideo_2018_2019

description: Animal-borne video data and associated dive logger / accelerometer / magnetometer tag data from 4 chinstrap penguins.
DOI: 10.5281/zenodo.5788201
title: Keyword frequencies in popular tech media during the COVID-19 pandemic (01.2020-06.2020)

description: Sources: Euractiv The Conversation Politico Europe IEEE Spectrum Techforge Fastcompany The Guardian (Tech) Arstechnica Reuters Gizmodo ZDNet The Register The Verge TechCrunch Methodology is modified relative to the regular trend analysis due to the short period of analysis (weekly freqiencies) Frequency of appearances for all unigrams and bigrams in the texts Frequency: number of appearances of every term divided by the number of all terms (for every week) Several media sources: all articles are treated equally Average monthly change in the analised term's frequency is calculated by OLS regressions The dependent variable of the estimation is the frequency index, while the number of weeks since the beginning of the analysed period (January 2020) is the independent variable The regression coefficient (referred to as coef) shows by how much on average the analysed expression’s frequency changed with every observed week (marginal change of the frequency), revealing which keywords had the biggest weekly growth Columns freq_2020_weeks (e.g. freq_2020_ww0): the average frequency of the term coef: the regression coefficient coef_norm: the regression coefficient divided by the mean frequency of the keyword
DOI: 10.5281/zenodo.5788200
title: Keyword frequencies in popular tech media during the COVID-19 pandemic (01.2020-06.2020)

description: Sources: Euractiv The Conversation Politico Europe IEEE Spectrum Techforge Fastcompany The Guardian (Tech) Arstechnica Reuters Gizmodo ZDNet The Register The Verge TechCrunch Methodology is modified relative to the regular trend analysis due to the short period of analysis (weekly freqiencies) Frequency of appearances for all unigrams and bigrams in the texts Frequency: number of appearances of every term divided by the number of all terms (for every week) Several media sources: all articles are treated equally Average monthly change in the analised term's frequency is calculated by OLS regressions The dependent variable of the estimation is the frequency index, while the number of weeks since the beginning of the analysed period (January 2020) is the independent variable The regression coefficient (referred to as coef) shows by how much on average the analysed expression’s frequency changed with every observed week (marginal change of the frequency), revealing which keywords had the biggest weekly growth Columns freq_2020_weeks (e.g. freq_2020_ww0): the average frequency of the term coef: the regression coefficient coef_norm: the regression coefficient divided by the mean frequency of the keyword
DOI: 10.5281/zenodo.5788325
title: Co-occurrences of trending keywords in popular tech media during the COVID-19 pandemic (01.2020-06.2020)

description: Sources: Euractiv The Conversation Politico Europe IEEE Spectrum Techforge Fastcompany The Guardian (Tech) Arstechnica Reuters Gizmodo ZDNet The Register The Verge TechCrunch Methodology Exploring the relationship between topics Pairs of terms which are mentioned together in media articles Most trending social issues and technologies have been selected (e.g. covid19) The co-occurrence analysis is calculated for pairs consisting of emerging social issues and trending uni/bigrams The number of times the terms appear in articles together with a social issue is divided by the number of times the social issue is mentioned across all articles A single index is constructed for all word pairs by weighted average (taking into account the prevalence of the given source)
DOI: 10.5281/zenodo.5788324
title: Co-occurrences of trending keywords in popular tech media during the COVID-19 pandemic (01.2020-06.2020)

description: Sources: Euractiv The Conversation Politico Europe IEEE Spectrum Techforge Fastcompany The Guardian (Tech) Arstechnica Reuters Gizmodo ZDNet The Register The Verge TechCrunch Methodology Exploring the relationship between topics Pairs of terms which are mentioned together in media articles Most trending social issues and technologies have been selected (e.g. covid19) The co-occurrence analysis is calculated for pairs consisting of emerging social issues and trending uni/bigrams The number of times the terms appear in articles together with a social issue is divided by the number of times the social issue is mentioned across all articles A single index is constructed for all word pairs by weighted average (taking into account the prevalence of the given source)
DOI: 10.48370/ofd/hr41yw/pf7pr9
title: HMW_Spergula_morisonii_Boreau_H_5059.jpg

description: :unav
DOI: 10.48370/ofd/hr41yw
title: Sporek wiosenny (Spergula morisonii Boreau), 5059

description: Herbarium
DOI: 10.48370/ofd/n8x6dk/i09mka
title: HMW_Spergula_morisonii_Boreau_H_9109.jpg

description: :unav
DOI: 10.48370/ofd/n8x6dk
title: Sporek wiosenny (Spergula morisonii Boreau), 9109

description: Herbarium
DOI: 10.48370/ofd/ny8osg/gctatd
title: HMW_Spergula_morisonii_Boreau_H_5060.jpg

description: :unav
DOI: 10.48370/ofd/ny8osg
title: Sporek wiosenny (Spergula morisonii Boreau), 5060

description: Herbarium
DOI: 10.48370/ofd/wcilsj/f7xvud
title: HMW_Spergula_morisonii_Boreau_H_6244.jpg

description: :unav
DOI: 10.48370/ofd/wcilsj
title: Sporek wiosenny (Spergula morisonii Boreau), 6244

description: Herbarium
DOI: 10.48370/ofd/gstxxw/tqoza4
title: HMW_Spergula_morisonii_Boreau_H_2091.jpg

description: :unav
DOI: 10.48370/ofd/gstxxw
title: Sporek wiosenny (Spergula morisonii Boreau), 2091

description: Herbarium
DOI: 10.48370/ofd/3jp1md/vuo1go
title: HMW_Spergula_morisonii_Boreau_H_2090.jpg

description: :unav
DOI: 10.48370/ofd/3jp1md
title: Sporek wiosenny (Spergula morisonii Boreau), 2090

description: Herbarium
DOI: 10.48370/ofd/t3iquh/u0hdnr
title: HMW_Spergula_morisonii_Boreau_H_0474.jpg

description: :unav
DOI: 10.48370/ofd/t3iquh
title: Sporek wiosenny (Spergula morisonii Boreau), 474

description: Herbarium
DOI: 10.48370/ofd/9eil4x/libgqn
title: HMW_Spergula_arvensis_L._H_0469.jpg

description: :unav
DOI: 10.48370/ofd/9eil4x
title: Sporek polny (Spergula arvensis L.), 469

description: Herbarium
DOI: 10.48370/ofd/lako3a/cgq3rg
title: HMW_Spergula_arvensis_L._H_0418.jpg

description: :unav
DOI: 10.48370/ofd/lako3a
title: Sporek polny (Spergula arvensis L.), 418

description: Herbarium
DOI: 10.48370/ofd/cgeaft/egitc1
title: HMW_Spergula_arvensis_L._H_0419.jpg

description: :unav
DOI: 10.48370/ofd/cgeaft
title: Sporek polny (Spergula arvensis L.), 419

description: Herbarium
DOI: 10.48370/ofd/ss082f/wehtwb
title: HMW_Spergula_arvensis_L._H_5058.jpg

description: :unav
DOI: 10.48370/ofd/ss082f
title: Sporek polny (Spergula arvensis L.), 5058

description: Herbarium
DOI: 10.48370/ofd/ign2n4/6cvdzm
title: HMW_Sparganium_minimum_Wallr._H_7653.jpg

description: :unav
DOI: 10.48370/ofd/ign2n4
title: Jeżogłówka najmniejsza (Sparganium minimum Wallr.), 7653

description: Herbarium
DOI: 10.48370/ofd/48a52t/ur0wsd
title: HMW_Sparganium_minimum_Wallr._H_8400.jpg

description: :unav
DOI: 10.48370/ofd/48a52t
title: Jeżogłówka najmniejsza (Sparganium minimum Wallr.), 8400

description: Herbarium
DOI: 10.48370/ofd/jahnc6/rfs92v
title: HMW_Sparganium_minimum_Wallr._H_8399.jpg

description: :unav
DOI: 10.48370/ofd/jahnc6
title: Jeżogłówka najmniejsza (Sparganium minimum Wallr.), 8399

description: Herbarium
DOI: 10.48370/ofd/1tb8ok/luaeik
title: HMW_Sparganium_erectum_L._emend._Rchb._s._str._H_9370.jpg

description: :unav
DOI: 10.48370/ofd/1tb8ok
title: Jeżogłówka gałęzista (Sparganium erectum L. emend. Rchb. s. str.), 9370

description: Herbarium
DOI: 10.48370/ofd/z7qxrn/3hqdmj
title: HMW_Sparganium_erectum_L._emend._Rchb._s._str._H_1351.jpg

description: :unav
DOI: 10.48370/ofd/z7qxrn
title: Jeżogłówka gałęzista (Sparganium erectum L. emend. Rchb. s. str.), 1351

description: Herbarium
DOI: 10.48370/ofd/kw4f0e/4plvou
title: HMW_Sparganium_erectum_L._emend._Rchb._s._str._H_0667.jpg

description: :unav
DOI: 10.48370/ofd/kw4f0e
title: Jeżogłówka gałęzista (Sparganium erectum L. emend. Rchb. s. str.), 667

description: Herbarium