cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/hrdikbkvmsiydt-uhfffaoysa-l/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/2C18H12Cl3P.C17H14NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-3-9-15(10-4-1)19(16-11-5-2-6-12-16)17-13-7-8-14-18-17;;;;/h2*1-12H;1-14H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6) δ [ppm] = 8.70 (bs, 1H, HPyr), 7.92 (t, 3JHH = 8.0 Hz, 1H, HPyr), 7.66–7.30 (m, 36H). Impurities: 1% DCM 1% unknown, 2% H-grease, 2% phosphine oxide of the ligands according to the 31P-NMR, note that the complex was not completely dissolved in the deuterated solvent.
DOI: 10.14272/hrdikbkvmsiydt-uhfffaoysa-l/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/2C18H12Cl3P.C17H14NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-3-9-15(10-4-1)19(16-11-5-2-6-12-16)17-13-7-8-14-18-17;;;;/h2*1-12H;1-14H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR) 𝜈̃ [cm–1] = 1573 (vw), 1557 (vw), 1478 (w), 1454 (vw), 1433 (vw), 1384 (w), 1183 (vw), 1079 (w), 1012 (w), 817 (w), 767 (vw), 743 (m), 694 (w), 631 (vw), 554 (w), 541 (w), 519 (w), 494 (m), 438 (w), 425 (w), 384 (w).
DOI: 10.14272/hrdikbkvmsiydt-uhfffaoysa-l/chmo0000739
title: 31P nuclear magnetic resonance spectroscopy (31P NMR) ()
title: InChI=1S/2C18H12Cl3P.C17H14NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-3-9-15(10-4-1)19(16-11-5-2-6-12-16)17-13-7-8-14-18-17;;;;/h2*1-12H;1-14H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for 31P nuclear magnetic resonance spectroscopy (31P NMR) 31P NMR (162 MHz, DMSO-d6) δ [ppm] = −5.06 (bs, 1P, PPyrPhos), −13.06 (bs, 2P, P(Cl-Ph)3P). Impurities: 1% DCM 1% unknown, 2% H-grease, 2% phosphine oxide of the ligands, note that the complex was not completely dissolved in the deuterated solvent.
DOI: 10.14272/hrdikbkvmsiydt-uhfffaoysa-l/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/2C18H12Cl3P.C17H14NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-3-9-15(10-4-1)19(16-11-5-2-6-12-16)17-13-7-8-14-18-17;;;;/h2*1-12H;1-14H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, DMSO-d6) δ [ppm] = 135.3 (d, JCP = 16.8 Hz), 133.4 (d, JCP = 11.5 Hz), 131.4 (d, JCP = 27.3 Hz), 130.1 (s), 128.8 (d, JCP = 8.6 Hz), 128.6 (d, JCP = 7.5 Hz), resonances could not be assigned due to low resolution even at 8192 ns (47C). Impurities: 1% DCM 1% unknown, 2% H-grease, 2% phosphine oxide of the ligands according to the 31P-NMR, note that the complex was not completely dissolved in the deuterated solvent.
DOI: 10.5281/zenodo.3697462
title: Transient stripping of subducting slabs controls periodic forearc uplift

description: This Source-Data file contains output files from numerical experiments presented by Menant et al. in a study published in Nature Communications (i.e., Transient stripping of subducting slabs controls periodic forearc uplift; doi: 10.1038/s41467-020-15580-7). MATLAB codes to post-process these files are also provided. The source code is available from the corresponding author (armel.menant@gfz-potsdam.de) or from the main code developer (taras.gerya@erdw.ethz.ch) upon reasonable request.
DOI: 10.5281/zenodo.3748425
title: Public medical text record in Japan

description: This dataset is the public medical text record with quality evaluation. Any researchers can use this dataset without privacy issues. CC BY-NC 4.0
DOI: 10.5281/zenodo.3748424
title: Public medical text record in Japan

description: This dataset is the public medical text record with quality evaluation. Any researchers can use this dataset without privacy issues. CC BY-NC 4.0
DOI: 10.5255/ukda-sn-854251
title: Building a global policy agenda to prioritise preterm birth: A qualitative analysis on factors shaping global health policy-making 2015-2020
DOI: 10.21227/4vje-n883
title: Analytical Study of Memristor

description: The Pinched Hysterisis Loop (PHL) i.e VI characteristics of memristor is studied by the application of different windows functions by computation in MATLAB environment. Also the behavior studied with different frequencies.
DOI: 10.21227/w09x-ks72
title: Analytical Study of Memristor

description: The Pinched Hysterisis Loop (PHL) i.e VI characteristics of memristor is studied by the application of different windows functions by computation in MATLAB environment. Also the behavior studied with different frequencies.
DOI: 10.5281/zenodo.3748491
title: Marlim R3D (MR3D) - Extended Resistivity Model (100 x 100 x 20 m mesh)

description: Marlim R3D (MR3D) is an open-source realistic geoelectric model for CSEM simulations of the post-salt turbiditic reservoirs at the Brazilian offshore margin.<br> Here we make available the Marlim MR3D model with a 100 x 100 x 20 m mesh extended to a volume of 56 x 51 x 6 km. That extended model was used by Correa and Menezes (2019) to produce the two CSEM dataset available at https://doi.org/10.5281/zenodo.1807135 (noise-free) and http://doi.org/10.5281/zenodo.1256787 (1% added noise).<br> You can follow the updates of the marlim project at:<br> https://www.researchgate.net/project/Marlim-R3D-A-realistic-model-for-mCSEM-simulations<br> Correa, J. L., and Menezes, P. T. L., 2019. Marlim R3D: A realistic model for controlled-source electromagnetic simulations — Phase 2: The controlled-source electromagnetic data set. Geophysics, 84 (5), E293–E299. Mrl3d_Rh_20metersmesh.segy - horizontal resistivity Mrl3d_Rv_20metersmesh.segy - vertical resistivity
DOI: 10.5281/zenodo.3748492
title: Marlim R3D (MR3D) - Extended Resistivity Model (100 x 100 x 20 m mesh)

description: Marlim R3D (MR3D) is an open-source realistic geoelectric model for CSEM simulations of the post-salt turbiditic reservoirs at the Brazilian offshore margin.<br> Here we make available the Marlim MR3D model with a 100 x 100 x 20 m mesh extended to a volume of 56 x 51 x 6 km. That extended model was used by Correa and Menezes (2019) to produce the two CSEM dataset available at https://doi.org/10.5281/zenodo.1807135 (noise-free) and http://doi.org/10.5281/zenodo.1256787 (1% added noise).<br> You can follow the updates of the marlim project at:<br> https://www.researchgate.net/project/Marlim-R3D-A-realistic-model-for-mCSEM-simulations<br> Correa, J. L., and Menezes, P. T. L., 2019. Marlim R3D: A realistic model for controlled-source electromagnetic simulations — Phase 2: The controlled-source electromagnetic data set. Geophysics, 84 (5), E293–E299. Mrl3d_Rh_20metersmesh.segy - horizontal resistivity Mrl3d_Rv_20metersmesh.segy - vertical resistivity
DOI: 10.15468/pqzy6u
title: An approach to scoring cursorial limb proportions in carnivorous dinosaurs and an attempt to account for allometry

description: This dataset contains the digitized treatments in Plazi based on the original journal article W. Scott Persons IV, Philip J. Currie (2016): An approach to scoring cursorial limb proportions in carnivorous dinosaurs and an attempt to account for allometry. Scientific Reports 6: 19828, DOI: 10.1038/srep19828
DOI: 10.5519/qd.kr8sny3l
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2637 records)
DOI: 10.5519/qd.bk5sn67w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1933 records)
DOI: 10.15468/ch8jwe
title: Family Rhinolophidae (Horseshoe Bats)

description: This dataset contains the digitized treatments in Plazi based on the original book chapter Csorba, Gábor, Hutso, Anthony, Rossiter, Steve, Burgin, Connor (2019): Family Rhinolophidae (Horseshoe Bats). In: Wilson, Don E., Mittermeier, Russell A. (Eds): Handbook of the Mammals of the World – Volume 9 Bats. Lynx Edicions: 280-332, ISBN: 978-84-16728-19-0, DOI: http://doi.org/10.5281/zenodo.3748525
DOI: 10.5281/zenodo.3748519
title: Catálogo público de productos de PC Componentes

description: Este fichero contiene un ejemplo real del tipo de datos que se pueden encontrar al ejecutar el scraper. Si quiere conocer más a fondo el proceso mediante el que fueron recogidos, puede visitar la web del proyecto en https://github.com/VictorColome/UOC-Scrapper. <br>Licencia: This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
DOI: 10.5281/zenodo.3748520
title: Catálogo público de productos de PC Componentes

description: Este fichero contiene un ejemplo real del tipo de datos que se pueden encontrar al ejecutar el scraper. Si quiere conocer más a fondo el proceso mediante el que fueron recogidos, puede visitar la web del proyecto en https://github.com/VictorColome/UOC-Scrapper. <br>Licencia: This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
DOI: 10.5281/zenodo.3748652
title: ibex35_3-5_Abril_2020

description: <pre>Datos recogidos por el programa entre el 3 y el 10 de Abril. Una vez recolectados, los string originales con "." para separar los miles y "," para separar los decimales, fueron transforamdos en floats con "." para separar decimales. Posteriormente han sido incluidos dentro de un dataframe de pandas y guardados en foramto csv separados por ",".</pre>
DOI: 10.5281/zenodo.3748653
title: ibex35_3-5_Abril_2020

description: <pre>Datos recogidos por el programa entre el 3 y el 10 de Abril. Una vez recolectados, los string originales con "." para separar los miles y "," para separar los decimales, fueron transforamdos en floats con "." para separar decimales. Posteriormente han sido incluidos dentro de un dataframe de pandas y guardados en foramto csv separados por ",".</pre>
DOI: 10.21227/0mj0-k438
title: Aerial Imagery of PV Plants for boundary detection

description: Extracting the boundaries of Photovoltaic (PV) plants is essential in the process of aerial inspection and autonomous monitoring by aerial robots. This method provides a clear delineation of the utility-scale PV plants’ boundaries for PV developers, Operation and Maintenance (O&M) service providers for use in aerial photogrammetry, flight mapping, and path planning during the autonomous monitoring of PV plants.Preparing the data is the primary step for training a Fully Convolutional Network (FCN). Accordingly, the “Amir” dataset is developed for use in the autonomous monitoring of large-scale PV plants. This dataset includes a set of aerial imagery collected from different large-scale PV plants located in twelve countries from six continents. In the Amir dataset, all necessary data has been provided to train an accurate FCN model for boundary detection, including aerial imagery of PV plants and their masks. Amir covers many PV plants throughout the world. In addition, the aerial images are fully annotated to specify the boundaries precisely. Amir consists of 3580 aerial images from mainly large-scale PV plants. The Amir dataset has been developed for a research project entitled " smart and autonomous monitoring system for large-scale PV Plants''. The detail information about this dataset and its applications can be found in the paper entitled ''Automatic Boundary Extraction of Large-Scale Photovoltaic Plants using a Fully Convolutional Network on Aerial Imagery".
DOI: 10.21227/g2bb-ms79
title: Aerial Imagery of PV Plants for boundary detection

description: Extracting the boundaries of Photovoltaic (PV) plants is essential in the process of aerial inspection and autonomous monitoring by aerial robots. This method provides a clear delineation of the utility-scale PV plants’ boundaries for PV developers, Operation and Maintenance (O&M) service providers for use in aerial photogrammetry, flight mapping, and path planning during the autonomous monitoring of PV plants.Preparing the data is the primary step for training a Fully Convolutional Network (FCN). Accordingly, the “Amir” dataset is developed for use in the autonomous monitoring of large-scale PV plants. This dataset includes a set of aerial imagery collected from different large-scale PV plants located in twelve countries from six continents. In the Amir dataset, all necessary data has been provided to train an accurate FCN model for boundary detection, including aerial imagery of PV plants and their masks. Amir covers many PV plants throughout the world. In addition, the aerial images are fully annotated to specify the boundaries precisely. Amir consists of 3580 aerial images from mainly large-scale PV plants. The Amir dataset has been developed for a research project entitled " smart and autonomous monitoring system for large-scale PV Plants''. The detail information about this dataset and its applications can be found in the paper entitled ''Automatic Boundary Extraction of Large-Scale Photovoltaic Plants using a Fully Convolutional Network on Aerial Imagery".
DOI: 10.5281/zenodo.3748695
title: Catálogo público de productos de PC Componentes

description: Este fichero contiene un ejemplo real del tipo de datos que se pueden encontrar al ejecutar el scraper. Si quiere conocer más a fondo el proceso mediante el que fueron recogidos, puede visitar la web del proyecto en https://github.com/VictorColome/UOC-Scrapper. <br>Licencia: This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
DOI: 10.5281/zenodo.3748696
title: Catálogo público de productos de PC Componentes

description: Este fichero contiene un ejemplo real del tipo de datos que se pueden encontrar al ejecutar el scraper. Si quiere conocer más a fondo el proceso mediante el que fueron recogidos, puede visitar la web del proyecto en https://github.com/VictorColome/UOC-Scrapper. <br>Licencia: This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
DOI: 10.5281/zenodo.3748709
title: taniagdn/WebScraping: Primer release - Dataset de valoración de Inmuebles Quito

description: El dataset es una recopilación de características de bienes inmuebles de la ciudad de Quito, en el periodo abril 2019 - marzo 2020, que se encuentran publicados en el portal de “Properati”, cuyas variables más importantes son la valoración del bien inmueble y el sector donde se encuentra. valoraciondeinmueblesquito.xlsx
DOI: 10.5281/zenodo.3748710
title: taniagdn/WebScraping: Primer release - Dataset de valoración de Inmuebles Quito

description: El dataset es una recopilación de características de bienes inmuebles de la ciudad de Quito, en el periodo abril 2019 - marzo 2020, que se encuentran publicados en el portal de “Properati”, cuyas variables más importantes son la valoración del bien inmueble y el sector donde se encuentra. valoraciondeinmueblesquito.xlsx
DOI: 10.15468/4vgus6
title: A fossil protein chimera; difficulties in discriminating dinosaur peptide sequences from modern cross-contamination

description: This dataset contains the digitized treatments in Plazi based on the original journal article Michael Buckley, Stacey Warwood, Bart van Dongen, Andrew C. Kitchener, Phillip L. Manning (2017): A fossil protein chimera; difficulties in discriminating dinosaur peptide sequences from modern cross-contamination. Proc. R. Soc. B 284: 544, DOI: 10.1098/rspb.2017.0544
DOI: 10.5281/zenodo.3748694
title: Knowledge Graph about altmetrics of selected papers about COVID-19

description: The knowledge graph (KG) contains data about altmetrics as well traditional indicators associated with 212 papers resulting from an early literature review. Publication dates encompass a time-window ranging from January 15th 2020 to February 24th 2020. The KG is represented as RDF and modelled by using the Indicators Ontology (I-Ont). I-Ont is an ontology for representing scholarly artefacts and their associated indicators, e.g. citation count or altmetrics such as the number of readers on Mendeley.
DOI: 10.5281/zenodo.3748693
title: Knowledge Graph about altmetrics of selected papers about COVID-19

description: The knowledge graph (KG) contains data about altmetrics as well traditional indicators associated with 212 papers resulting from an early literature review. Publication dates encompass a time-window ranging from January 15th 2020 to February 24th 2020. The KG is represented as RDF and modelled by using the Indicators Ontology (I-Ont). I-Ont is an ontology for representing scholarly artefacts and their associated indicators, e.g. citation count or altmetrics such as the number of readers on Mendeley.
DOI: 10.5281/zenodo.3748711
title: Raw datasets of the simulation of the Scheduling Functions LDSF, LLSF, MSF and Stratum

description: Raw datasets of the simulation of the Scheduling Functions LDSF, LLSF, MSF and Stratum
DOI: 10.5281/zenodo.3748712
title: Raw datasets of the simulation of the Scheduling Functions LDSF, LLSF, MSF and Stratum

description: Raw datasets of the simulation of the Scheduling Functions LDSF, LLSF, MSF and Stratum
DOI: 10.15468/nm7mgu
title: Carpinus gigabracteatus, a new species from southeast Yunnan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lu, Zhiqiang (2020): Carpinus gigabracteatus, a new species from southeast Yunnan, China. PhytoKeys 145: 47-56, DOI: http://dx.doi.org/10.3897/phytokeys.145.49488, URL: http://dx.doi.org/10.3897/phytokeys.145.49488
DOI: 10.15468/3q3ewf
title: Two new species of Ardisia subgenus Tetrardisia (Primulaceae - Myrsinoideae) from Borneo

description: This dataset contains the digitized treatments in Plazi based on the original journal article Julius, Avelinah, Kajita, Tadashi, Utteridge, Timothy M. A. (2020): Two new species of Ardisia subgenus Tetrardisia (Primulaceae - Myrsinoideae) from Borneo. PhytoKeys 145: 139-148, DOI: http://dx.doi.org/10.3897/phytokeys.145.48573, URL: http://dx.doi.org/10.3897/phytokeys.145.48573
DOI: 10.5281/zenodo.3748720
title: Catalan basketball results

description: Dataset containing results for basketball competitions in Catalonia.<br> The data depicted belongs to the Catalan Federation of Basketball, with their site at www.basquetcatala.cat The dataset contains one record for each match, with the following fields:<br> - temporada: start/end year of the season<br> - ambit: scope of the competition, either for the whole territory or within a province<br> - categoria: category of the involved teams<br> - competicio: name of the competition or phase within it<br> - grup: some competitions have a high number of competing teams, they are split in several groups then<br> - jornada: round within the competition<br> - data: date and time of the match<br> - equip_local: name of the local team<br> - punts_local: points obtained by the local team<br> - equip_visitant: name of the visitor team<br> - punts_visitant: points obtained by the visitor team There are some missing values in the points fields, with a hyphen instead of a numeric value.<br> There's also a missing category name, containing the fragment of link where it's pointed to in the site. '42018/950' instead of a name. Applicable license is Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
DOI: 10.5281/zenodo.3748721
title: Catalan basketball results

description: Dataset containing results for basketball competitions in Catalonia.<br> The data depicted belongs to the Catalan Federation of Basketball, with their site at www.basquetcatala.cat The dataset contains one record for each match, with the following fields:<br> - temporada: start/end year of the season<br> - ambit: scope of the competition, either for the whole territory or within a province<br> - categoria: category of the involved teams<br> - competicio: name of the competition or phase within it<br> - grup: some competitions have a high number of competing teams, they are split in several groups then<br> - jornada: round within the competition<br> - data: date and time of the match<br> - equip_local: name of the local team<br> - punts_local: points obtained by the local team<br> - equip_visitant: name of the visitor team<br> - punts_visitant: points obtained by the visitor team There are some missing values in the points fields, with a hyphen instead of a numeric value.<br> There's also a missing category name, containing the fragment of link where it's pointed to in the site. '42018/950' instead of a name. Applicable license is Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
DOI: 10.5281/zenodo.3748719
title: Long-Term Wi-Fi fingerprinting dataset and supporting material

description: WiFi measurements database for UJI's library and supporting material. The measurements were collected by one person using mainly one Android smartphone during 25 months at two floor of the library building from Universitat Jaume I, in Spain. It contains 103,584 WiFi fingerprints, which are organized into datasets. Each dataset is the result of a collection campaign. The supporting material includes Matlab® scripts to load and filter the desired data, and provides examples on possible studies that the database may enable. The supporting material also includes the bookshelves local coordinates. Citation request: Mendoza-Silva, G.M.; Richter, P.; Torres-Sospedra, J.; Lohan, E.S.; Huerta, J. Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor Positioning. <em>Data</em> <strong>2018</strong>, <em>3</em>, 3. G.M. Mendoza-Silva, P. Richter, J. Torres-Sospedra, E.S. Lohan, J. Huerta, "Long-Term Wi-Fi fingerprinting dataset and supporting material", Zenodo repository, DOI 10.5281/zenodo.1066041.
description: Measurements for version 1 were collected using a Samsung Galaxy S3 smartphone during 15 months. Version 2 includes 10 additional months of measurements and also contains measurements collected using a newer device, a Samsung Galaxy A5 (2017) smartphone. The new device measurements correspond to the last measurement campaign, specifically training 2 file and test 6-10 files gathered in month 25. The scripts remain unchanged, since they were created as supporting materials for the paper published in data (see citation request). Germán M. Mendoza-Silva gratefully acknowledges funding from grant PREDOC/2016/55 by Universitat Jaume I.
DOI: 10.15468/gukmp8
title: Nomenclatural changes in Onagraceae

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hoch, Peter C., Gandhi, Kanchi (2020): Nomenclatural changes in Onagraceae. PhytoKeys 145: 57-62, DOI: http://dx.doi.org/10.3897/phytokeys.145.51139, URL: http://dx.doi.org/10.3897/phytokeys.145.51139
DOI: 10.15468/76mpf2
title: Hanceola suffruticosa (Lamiaceae, Nepetoideae), a new species from the Sino-Vietnamese border

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chen, Ya-Ping, Paton, Alan J., Xiang, Chun-Lei (2020): Hanceola suffruticosa (Lamiaceae, Nepetoideae), a new species from the Sino-Vietnamese border. PhytoKeys 145: 131-138, DOI: http://dx.doi.org/10.3897/phytokeys.145.49995, URL: http://dx.doi.org/10.3897/phytokeys.145.49995
DOI: 10.15468/93f36y
title: New names and status for Pacific spiny species of Solanum (Solanaceae, subgenus Leptostemonum Bitter; the Leptostemonum Clade)

description: This dataset contains the digitized treatments in Plazi based on the original journal article McClelland, Donald H. R., Nee, Michael, Knapp, Sandra (2020): New names and status for Pacific spiny species of Solanum (Solanaceae, subgenus Leptostemonum Bitter; the Leptostemonum Clade). PhytoKeys 145: 1-36, DOI: http://dx.doi.org/10.3897/phytokeys.145.48531, URL: http://dx.doi.org/10.3897/phytokeys.145.48531