cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5556901
title: Early warning signal reliability varies with COVID-19 waves

description: <strong>Abstract</strong> Early warning signals (EWSs) aim to predict changes in complex systems from phenomenological signals in time series data. These signals have recently been shown to precede the emergence of disease outbreaks, offering hope that policy makers can make predictive rather than reactive management decisions. Here, using a novel, sequential analysis in combination with daily COVID-19 case data across 24 countries, we suggest that composite EWSs consisting of variance, autocorrelation, and skewness can predict non-linear case increases, but that the predictive ability of these tools varies between waves based upon the degree of critical slowing down present. Our work suggests that in highly monitored disease time series such as COVID-19, EWSs offer the opportunity for policy makers to improve the accuracy of urgent intervention decisions but best characterise hypothesised critical transitions. <strong>Dataset</strong> The deposited dataset contains scripts used in the early warning signal and generalised additive model analysis, the generation of figures, and the custom R functions underpinning the work. Raw COVID-19 case data is also provided if users prefer to access files directly rather than sourcing from the host repositories (all credit is provided to the original publishers).
description: All scripts are written in the R language (R Core Team. 2021. R: A language and environment for statistical computing).
DOI: 10.5281/zenodo.5556900
title: Early warning signal reliability varies with COVID-19 waves

description: <strong>Abstract</strong> Early warning signals (EWSs) aim to predict changes in complex systems from phenomenological signals in time series data. These signals have recently been shown to precede the emergence of disease outbreaks, offering hope that policy makers can make predictive rather than reactive management decisions. Here, using a novel, sequential analysis in combination with daily COVID-19 case data across 24 countries, we suggest that composite EWSs consisting of variance, autocorrelation, and skewness can predict non-linear case increases, but that the predictive ability of these tools varies between waves based upon the degree of critical slowing down present. Our work suggests that in highly monitored disease time series such as COVID-19, EWSs offer the opportunity for policy makers to improve the accuracy of urgent intervention decisions but best characterise hypothesised critical transitions. <strong>Dataset</strong> The deposited dataset contains scripts used in the early warning signal and generalised additive model analysis, the generation of figures, and the custom R functions underpinning the work. Raw COVID-19 case data is also provided if users prefer to access files directly rather than sourcing from the host repositories (all credit is provided to the original publishers).
description: All scripts are written in the R language (R Core Team. 2021. R: A language and environment for statistical computing).
DOI: 10.48370/ofd/vdwkgq/2fqpjg
title: HMW_Polygonatum_multiflorum_(L.)_All._H_0461.jpg

description: :unav
DOI: 10.48370/ofd/vdwkgq/mtb9bq
title: HMW_Polygonatum_odoratum_(Mill.)_Druce_H_00462.jpg

description: :unav
DOI: 10.48370/ofd/vdwkgq
title: Kokoryczka wielokwiatowa (Polygonatum multiflorum (L.) All.), 462

description: Herbarium
DOI: 10.34740/kaggle/dsv/2687802
title: 2021 World Population (updated daily)
DOI: 10.48370/ofd/tilict/g5tkds
title: HMW_Polygonatum_verticillatum_(L.)_All._H_8567.jpg

description: :unav
DOI: 10.48370/ofd/tilict
title: Kokoryczka okółkowa (Polygonatum verticillatum (L.) All.), 8567

description: Herbarium
DOI: 10.48370/ofd/2rei7v/ryupan
title: HMW_Polygonatum_verticillatum_(L.)_All._H_5945.jpg

description: :unav
DOI: 10.48370/ofd/2rei7v
title: Kokoryczka okółkowa (Polygonatum verticillatum (L.) All.), 5945

description: Herbarium
DOI: 10.48370/ofd/f2kv0b/dsm2r8
title: HMW_Polygonatum_verticillatum_(L.)_All._H_1379.jpg

description: :unav
DOI: 10.48370/ofd/f2kv0b
title: Kokoryczka okółkowa (Polygonatum verticillatum (L.) All.), 1379

description: Herbarium
DOI: 10.5281/zenodo.5552570
title: Different to the core: the pre-supernova structures of massive single and binary-stripped stars

description: This is a basic reproduction package for the paper "Different to the core: the pre-supernova structures of massive single and binary-stripped stars". This package contains inlists for MESA and processed output.
DOI: 10.48370/ofd/ehktwb/s8n7gr
title: HMW_Polygonatum_verticillatum_(L.)_All._H_1169.jpg

description: :unav
DOI: 10.48370/ofd/ehktwb
title: Kokoryczka okółkowa (Polygonatum verticillatum (L.) All.), 1169

description: Herbarium
DOI: 10.5281/zenodo.5556945
title: Knepp WildVeg Geodatabase

description: <em><strong>An article describing the production of this data set has been prepared for peer-review. A link will be provided here following publication. Please contact project lead Alex Henshaw (a.henshaw@qmul.ac.uk) for further information in the interim. </strong></em> We are releasing our 'Knepp WildVeg’ geodatabase to support future research on rewilding and landscape change. The geodatabase was co-produced by geographers at Queen Mary University of London and ecologists and conservationists at the Knepp Estate, UK. The data set quantifies vegetation regeneration (vegetation cover, height, density and type) at 20 years since the start of rewilding at Knepp Wildland, West Sussex, UK. The Knepp Estate was previously a 3,500 acre intensive arable and dairy farm, but has been devoted to landscape rewilding since 2001. The unique nature of Knepp provides vast opportunities for environmental research but the scale of the project generates research design challenges. Future research on the environmental and ecological effects of rewilding requires baseline data on vegetation structure and dynamics to inform sampling design. Furthermore, the rewilding agenda has, to date, been largely driven by biodiversity goals (with dramatic results achieved) but the fundamental principles that underpin the approach offer potential for much wider-ranging ecosystem services benefits including natural flood management, nutrient cycling, and climate and soil quality regulation. These outcomes are less well understood and this data set is intended to support their investigation. We analysed Environment Agency airborne LiDAR surveys<sup>1</sup> from 2001 and 2019 to produce spatial data on vegetation extent, height and density for both pre-existing vegetation (hedgerows, woodland) and new vegetation that has regenerated in former arable fields following rewilding. We used this information in combination with spectral reflectance data from high resolution satellite imagery<sup>2</sup> to classify the new vegetation into three distinct types (thorny scrub, bramble scrub, sallows). Further information on our project is available here arcg.is/C5mDP. The project was funded by Queen Mary University of London via an HSS Collaboration Fund grant. <sup>1</sup><strong> </strong>LiDAR data supplied by Environment Agency under Open Government License v3.0. <sup>2</sup> Multispectral satellite image data used in new vegetation classification supplied by Planet Team (2017) under Education and Research Program license. Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com.
DOI: 10.5281/zenodo.5556944
title: Knepp WildVeg Geodatabase

description: <em><strong>An article describing the production of this data set has been prepared for peer-review. A link will be provided here following publication. Please contact project lead Alex Henshaw (a.henshaw@qmul.ac.uk) for further information in the interim. </strong></em> We are releasing our 'Knepp WildVeg’ geodatabase to support future research on rewilding and landscape change. The geodatabase was co-produced by geographers at Queen Mary University of London and ecologists and conservationists at the Knepp Estate, UK. The data set quantifies vegetation regeneration (vegetation cover, height, density and type) at 20 years since the start of rewilding at Knepp Wildland, West Sussex, UK. The Knepp Estate was previously a 3,500 acre intensive arable and dairy farm, but has been devoted to landscape rewilding since 2001. The unique nature of Knepp provides vast opportunities for environmental research but the scale of the project generates research design challenges. Future research on the environmental and ecological effects of rewilding requires baseline data on vegetation structure and dynamics to inform sampling design. Furthermore, the rewilding agenda has, to date, been largely driven by biodiversity goals (with dramatic results achieved) but the fundamental principles that underpin the approach offer potential for much wider-ranging ecosystem services benefits including natural flood management, nutrient cycling, and climate and soil quality regulation. These outcomes are less well understood and this data set is intended to support their investigation. We analysed Environment Agency airborne LiDAR surveys<sup>1</sup> from 2001 and 2019 to produce spatial data on vegetation extent, height and density for both pre-existing vegetation (hedgerows, woodland) and new vegetation that has regenerated in former arable fields following rewilding. We used this information in combination with spectral reflectance data from high resolution satellite imagery<sup>2</sup> to classify the new vegetation into three distinct types (thorny scrub, bramble scrub, sallows). Further information on our project is available here arcg.is/C5mDP. The project was funded by Queen Mary University of London via an HSS Collaboration Fund grant. <sup>1</sup><strong> </strong>LiDAR data supplied by Environment Agency under Open Government License v3.0. <sup>2</sup> Multispectral satellite image data used in new vegetation classification supplied by Planet Team (2017) under Education and Research Program license. Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com.
DOI: 10.6084/m9.figshare.15173171
title: Synthesis, crystal structure and properties of hepta(ammonium) penta(1H-imidazol-3-ium) paratungstate B tetrahydrate

description: An attempted isolation of the elusive diammonium tetraoxidotungstate (NH<sub>4</sub>)<sub>2</sub>[WO<sub>4</sub>] as its imidazole (Im) adduct resulted in the serendipitous formation of hepta(ammonium) penta(1H-imidazol-3-ium) paratungstate B tetrahydrate having formula [NH<sub>4</sub>]<sub>7</sub>[ImH]<sub>5</sub>[W<sub>12</sub>O<sub>42</sub>]·4H<sub>2</sub>O (<b>1</b>). The synthesis, vibrational spectra, crystal structure and thermal study of the mixed cationic paratungstate tetrahydrate <b>1</b> are reported. The structure of <b>1</b> consists of a centrosymmetric paratungstate [W<sub>12</sub>O<sub>42</sub>]<sup>12–</sup> anion devoid of internal hydrogen atoms, which is charge balanced by ammonium and 1H-imidazol-3-ium cations. One of the four unique NH<sub>4</sub><sup>+</sup> cations and one of the three crystallographically independent 1H-imidazol-3-ium cations are disordered around a center of inversion. The cations, [W<sub>12</sub>O<sub>42</sub>]<sup>12–</sup> anion and the unique lattice water molecules are joined with the aid of five varieties of hydrogen bonding interactions. A comparative study of twenty-three partaungstates is described. Thermal decomposition of <b>1</b> results in the formation of monoclinic tungsten trioxide WO<sub>3</sub>.
DOI: 10.6084/m9.figshare.15173171.v1
title: Synthesis, crystal structure and properties of hepta(ammonium) penta(1H-imidazol-3-ium) paratungstate B tetrahydrate

description: An attempted isolation of the elusive diammonium tetraoxidotungstate (NH<sub>4</sub>)<sub>2</sub>[WO<sub>4</sub>] as its imidazole (Im) adduct resulted in the serendipitous formation of hepta(ammonium) penta(1H-imidazol-3-ium) paratungstate B tetrahydrate having formula [NH<sub>4</sub>]<sub>7</sub>[ImH]<sub>5</sub>[W<sub>12</sub>O<sub>42</sub>]·4H<sub>2</sub>O (<b>1</b>). The synthesis, vibrational spectra, crystal structure and thermal study of the mixed cationic paratungstate tetrahydrate <b>1</b> are reported. The structure of <b>1</b> consists of a centrosymmetric paratungstate [W<sub>12</sub>O<sub>42</sub>]<sup>12–</sup> anion devoid of internal hydrogen atoms, which is charge balanced by ammonium and 1H-imidazol-3-ium cations. One of the four unique NH<sub>4</sub><sup>+</sup> cations and one of the three crystallographically independent 1H-imidazol-3-ium cations are disordered around a center of inversion. The cations, [W<sub>12</sub>O<sub>42</sub>]<sup>12–</sup> anion and the unique lattice water molecules are joined with the aid of five varieties of hydrogen bonding interactions. A comparative study of twenty-three partaungstates is described. Thermal decomposition of <b>1</b> results in the formation of monoclinic tungsten trioxide WO<sub>3</sub>.
DOI: 10.48370/ofd/b7kwa8/qk5sgp
title: HMW_Polygonum_alpinum_L._H_07829.jpg

description: :unav
DOI: 10.48370/ofd/b7kwa8
title: Polygonum alpinum All., 7829

description: Herbarium
DOI: 10.25345/c5w26j
title: MassIVE MSV000088204 - Cowen_Myers_Chemogenomics_2021
title: This dataset consists of 4 raw MS files and associated peak lists and results files, acquired on an AB-SCIEX mass spectrometer operated in Data Dependent Acquisition mode. Samples were generated by the Cowen lab and affinity purification and mass spectrometric acquisition was performed by Zhen-Yuan Lin. Analysis was performed by Anne-Claude Gingras and Cassandra Wong. The files are associated with a manuscript by co-first authors Li, Zhang, Veri, Iyer, Lash, Xue et al. The co-corresponding authors are Chad Myers (chadm@umn.edu) and Leah Cowen (leah.cowen@utoronto.ca). Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca).
DOI: 10.17632/zy5v4xs89d.1
title: Parallel time integration using Batched BLAS (Basic Linear Algebra Subprograms) routines

description: We present an approach for integrating the time evolution of quantum systems. We leverage the computation power of graphics processing units (GPUs) to perform the integration of all time steps in parallel. The performance boost is especially prominent for small to medium-sized quantum systems. The devised algorithm can largely be implemented using the recently-specified batched versions of the BLAS routines, and can therefore be easily ported to a variety of platforms. Our PARAllelized Matrix Exponentiation for Numerical Time evolution (PARAMENT) implementation runs on CUDA-enabled graphics processing units.
DOI: 10.17632/8vfhhv8s2f.2
title: Wetlands of North African during mid-Holocene 

description: We present reconstructions of wetland distribution in the mid-Holocene North Africa using five calibrated wetland models and four precipitation levels.  The five models are TCI1, TCI2, RFM1, RFM2 and LSM. The four precipitation levels are MH1, MH2, MH3 and MH4. The 20 simulations are in '.mat' format created by matlab. For more informations, please refer the original article in GRL (https://doi.org/10.1029/2021GL094194), or contact wzchen@cug.edu.cn (W. Chen).
DOI: 10.17632/3bc8dd6x3t.3
title: Databases (antibiofilm assays)

description: Databases: Antibacterial, antibiofilm, and cytotoxic activities and chemical compositions of Peruvian propolis in an in vitro oral biofilm
DOI: 10.17632/jjc3kxhhzt.1
title: AN EXPERIMENTAL APPROACH TO COMPARE THE DATA OF THE BREAKDOWN VOLTAGE FOR VARIOUS POWER DEVICES

description: Here, an experimental approach to compare the data of the breakdown voltage for the various power devices has been presented. In the era of electronics devices, there is a demand for higher frequency switches with high breakdown voltage (BV) and small on specific on-resistance (Ron,sp). LDMOS can fulfill all the above demands with better performance. A comparative study of the power devices like PMOS, DG-LDMOS Without STI and Sinker, subPNP, 40 V pLDMOS, Triple RESURF LDMOS, 600 V nLDMOS, 700 V ISO DB-nLDMOS, New SJ-LDMOS has been proposed for the first time. It has been observed that the high voltage MOSFET structure freezing out effect at higher temperatures, results from the output current roll-off ahead of a transition temperature.
DOI: 10.48370/ofd/nti33l/gn0ggb
title: HMW_Polygonum_amphibium_L._H_4497.jpg

description: :unav
DOI: 10.48370/ofd/nti33l
title: Rdest ziemnowodny (Polygonum amphibium L.), 4497

description: Herbarium
DOI: 10.48370/ofd/husffo/cnqg7c
title: HMW_Polygonum_amphibium_L._H_1787.jpg

description: :unav
DOI: 10.48370/ofd/husffo
title: Rdest ziemnowodny (Polygonum amphibium L.), 1787

description: Herbarium
DOI: 10.48370/ofd/dfe63z/rtn452
title: HMW_Polygonum_amphibium_L._H_1659.jpg

description: :unav
DOI: 10.48370/ofd/dfe63z
title: Rdest ziemnowodny (Polygonum amphibium L.), 1659

description: Herbarium
DOI: 10.48370/ofd/brq0ct/ppckxb
title: HMW_Polygonum_amphibium_L._H_1498.jpg

description: :unav
DOI: 10.48370/ofd/brq0ct
title: Rdest ziemnowodny (Polygonum amphibium L.), 1498

description: Herbarium
DOI: 10.5281/zenodo.5556977
title: Supplementary Material for "TITANIA Model-Free Interpretation of Residual Dipolar Couplings in the Context of Organic Compounds"

description: Simulation input (RDC data, input geometries, keywords) and output files (simulation / geometry trajectories, alignment data, SECONDA analysis) for isopinocampheol, tubocurarine and strychnine runs with the TITANIA software.
DOI: 10.5281/zenodo.5556976
title: Supplementary Material for "TITANIA Model-Free Interpretation of Residual Dipolar Couplings in the Context of Organic Compounds"

description: Simulation input (RDC data, input geometries, keywords) and output files (simulation / geometry trajectories, alignment data, SECONDA analysis) for isopinocampheol, tubocurarine and strychnine runs with the TITANIA software.
DOI: 10.48370/ofd/hwzlq3/ctbmjo
title: HMW_Polygonum_bistorta_L._H_03403.jpg

description: :unav
DOI: 10.48370/ofd/hwzlq3
title: Rdest wężownik (Polygonum bistorta L.), 3403

description: Herbarium
DOI: 10.18462/iif.nitec43.06.2021
title: Energy recovery in mechanical ventilation systems, 43rd Informatory Note on Refrigeration Technologies.
DOI: 10.5517/ccdc.csd.cc25m02x
title: CCDC 2014258: Experimental Crystal Structure Determination

description: Related Article: Márton Zwillinger, Post Sai Reddy, Barbara Wicher, Pradeep K. Mandal, Márton Csékei, Lucile Fischer, András Kotschy, Ivan Huc|2020|Chem.-Eur.J.|26|17366|doi:10.1002/chem.202004064
DOI: 10.5517/ccdc.csd.cc266gxt
title: CCDC 2032016: Experimental Crystal Structure Determination

description: Related Article: Josue Valdes-García, Alejandro O. Viviano-Posadas, José Rivera-Chávez, Teresa Ramírez-Apan, Sergio Martínez-Vargas, Eva Aguirre-Hernández, Juan M. German-Acacio, David Morales-Morales, Alejandro Dorazco-González|2021|J.Mol.Struct.|1249|131582|doi:10.1016/j.molstruc.2021.131582
DOI: 10.5517/ccdc.csd.cc266gyv
title: CCDC 2032017: Experimental Crystal Structure Determination

description: Related Article: Josue Valdes-García, Alejandro O. Viviano-Posadas, José Rivera-Chávez, Teresa Ramírez-Apan, Sergio Martínez-Vargas, Eva Aguirre-Hernández, Juan M. German-Acacio, David Morales-Morales, Alejandro Dorazco-González|2021|J.Mol.Struct.|1249|131582|doi:10.1016/j.molstruc.2021.131582
DOI: 10.5517/ccdc.csd.cc266gzw
title: CCDC 2032018: Experimental Crystal Structure Determination

description: Related Article: Josue Valdes-García, Alejandro O. Viviano-Posadas, José Rivera-Chávez, Teresa Ramírez-Apan, Sergio Martínez-Vargas, Eva Aguirre-Hernández, Juan M. German-Acacio, David Morales-Morales, Alejandro Dorazco-González|2021|J.Mol.Struct.|1249|131582|doi:10.1016/j.molstruc.2021.131582
DOI: 10.5517/ccdc.csd.cc27v8m0
title: CCDC 2080832: Experimental Crystal Structure Determination

description: Related Article: Maximilian Elter, Lukas Ahrens, Stella M. Luo, Frank Rominger, Jan Freudenberg, Dennis D. Cao, Uwe H. F. Bunz|2021|Chem.-Eur.J.|27|12284|doi:10.1002/chem.202101573
DOI: 10.5517/ccdc.csd.cc27v8n1
title: CCDC 2080833: Experimental Crystal Structure Determination

description: Related Article: Maximilian Elter, Lukas Ahrens, Stella M. Luo, Frank Rominger, Jan Freudenberg, Dennis D. Cao, Uwe H. F. Bunz|2021|Chem.-Eur.J.|27|12284|doi:10.1002/chem.202101573
DOI: 10.5517/ccdc.csd.cc27wmrj
title: CCDC 2082138: Experimental Crystal Structure Determination

description: Related Article: Julian M. Feilner, Immanuel Plangger, Klaus Wurst, Thomas Magauer|2021|Chem.-Eur.J.|27|12410|doi:10.1002/chem.202101926
DOI: 10.5517/ccdc.csd.cc27wmsk
title: CCDC 2082139: Experimental Crystal Structure Determination

description: Related Article: Julian M. Feilner, Immanuel Plangger, Klaus Wurst, Thomas Magauer|2021|Chem.-Eur.J.|27|12410|doi:10.1002/chem.202101926
DOI: 10.48370/ofd/c5ukhs/smroxs
title: HMW_Polygonum_minus_Huds._H_3841.jpg

description: :unav
DOI: 10.5517/ccdc.csd.cc27wmtl
title: CCDC 2082140: Experimental Crystal Structure Determination

description: Related Article: Julian M. Feilner, Immanuel Plangger, Klaus Wurst, Thomas Magauer|2021|Chem.-Eur.J.|27|12410|doi:10.1002/chem.202101926
DOI: 10.5517/ccdc.csd.cc27wmvm
title: CCDC 2082141: Experimental Crystal Structure Determination

description: Related Article: Julian M. Feilner, Immanuel Plangger, Klaus Wurst, Thomas Magauer|2021|Chem.-Eur.J.|27|12410|doi:10.1002/chem.202101926
DOI: 10.48370/ofd/c5ukhs
title: Rdest mniejszy (Polygonum minus Huds.), 3841

description: Herbarium
DOI: 10.5517/ccdc.csd.cc27wmwn
title: CCDC 2082142: Experimental Crystal Structure Determination

description: Related Article: Julian M. Feilner, Immanuel Plangger, Klaus Wurst, Thomas Magauer|2021|Chem.-Eur.J.|27|12410|doi:10.1002/chem.202101926
DOI: 10.5517/ccdc.csd.cc27wmxp
title: CCDC 2082143: Experimental Crystal Structure Determination

description: Related Article: Julian M. Feilner, Immanuel Plangger, Klaus Wurst, Thomas Magauer|2021|Chem.-Eur.J.|27|12410|doi:10.1002/chem.202101926
DOI: 10.5517/ccdc.csd.cc27z0r0
title: CCDC 2084432: Experimental Crystal Structure Determination

description: Related Article: M. Trinidad Martín, Mario Marín, Celia Maya, Auxiliadora Prieto, M. Carmen Nicasio|2021|Chem.-Eur.J.|27|12320|doi:10.1002/chem.202101906
DOI: 10.5517/ccdc.csd.cc27z0t2
title: CCDC 2084434: Experimental Crystal Structure Determination

description: Related Article: M. Trinidad Martín, Mario Marín, Celia Maya, Auxiliadora Prieto, M. Carmen Nicasio|2021|Chem.-Eur.J.|27|12320|doi:10.1002/chem.202101906
DOI: 10.48370/ofd/c2bzll/gaavf4
title: HMW_Polygonum_minus_Huds._H_7518.jpg

description: :unav
DOI: 10.48370/ofd/c2bzll
title: Rdest mniejszy (Polygonum minus Huds.), 7518

description: Herbarium
DOI: 10.48370/ofd/umoyjl/b6ueak
title: HMW_Polygonum_minus_Huds._H_3576.jpg

description: :unav
DOI: 10.48370/ofd/umoyjl
title: Rdest mniejszy (Polygonum minus Huds.), 3576

description: Herbarium
DOI: 10.48370/ofd/r83rgd/6ga8gy
title: HMW_Polygonum_minus_Huds._H_2040.jpg

description: :unav
DOI: 10.48370/ofd/r83rgd
title: Rdest mniejszy (Polygonum minus Huds.), 2040

description: Herbarium
DOI: 10.48370/ofd/qq2ij3/zlatmj
title: HMW_Polygonum_minus_Huds._H_1776.jpg

description: :unav
DOI: 10.48370/ofd/qq2ij3
title: Rdest mniejszy (Polygonum minus Huds.), 1776

description: Herbarium
DOI: 10.48370/ofd/wi6tqh/wiwvxk
title: HMW_Polygonum_minus_Huds._H_4314.jpg

description: :unav
DOI: 10.48370/ofd/wi6tqh
title: Rdest mniejszy (Polygonum minus Huds.), 4314

description: Herbarium
DOI: 10.48370/ofd/wpnqkd/p9kw6g
title: HMW_Polygonum_minus_Huds._H_3656.jpg

description: :unav
DOI: 10.48370/ofd/wpnqkd
title: Rdest mniejszy (Polygonum minus Huds.), 3656

description: Herbarium
DOI: 10.48370/ofd/ormru0/ngur1p
title: HMW_Polygonum_minus_Huds._H_3265.jpg

description: :unav
DOI: 10.48370/ofd/ormru0
title: Rdest mniejszy (Polygonum minus Huds.), 3265

description: Herbarium
DOI: 10.48370/ofd/7strxt/2oxbp4
title: HMW_Polygonum_mite_Schrank_H_1521.jpg

description: :unav
DOI: 10.48370/ofd/7strxt
title: Rdest łagodny (Polygonum mite Schrank), 1521

description: Herbarium