cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14136020
title: SUplementary tables for "Tetradesmus almeriensis"

description: Supplementary tables for "Tetradesmus almeriensis"
DOI: 10.6084/m9.figshare.14136020.v1
title: SUplementary tables for "Tetradesmus almeriensis"

description: Supplementary tables for "Tetradesmus almeriensis"
DOI: 10.5281/zenodo.4570611
title: Vibronic Coupling in a Molecular 4f Qubit

description: Vibronic coupling, the interaction between molecular vibrations and electronic states, is a pervasive effect that profoundly affects chemical processes. In the case of molecular magnetic materials, vibronic, or spin-phonon, coupling leads to magnetic relaxation, which equates to loss of magnetic memory and loss of phase coherence in molecular magnets and qubits, respectively. The study of vibronic coupling is challenging, and most experimental evidence is indirect. Here we employ far-infrared magnetospectroscopy to probe vibronic transitions in a Yb<sup>III</sup> molecular qubit directly. We find intense signals near electronic states, which we show arise due to an “envelope effect” in the vibronic coupling Hamiltonian, and we calculate the vibronic coupling fully <em>ab initio</em> to simulate the spectra. We subsequently show that vibronic coupling is strongest for vibrational modes that simultaneously distort the first coordination sphere and break the C<sub>3</sub> symmetry of the molecule. With this knowledge, vibrational modes could be identified and engineered to shift their energy towards or away from particular electronic states to alter their impact. Hence, these findings provide new insights towards developing general guidelines for the control of vibronic coupling in molecules.
description: We thank The University of Manchester for access to the Computational Shared Facility, the EPSRC (studentship to J.G.C.K.), and The Royal Society (University Research Fellowship to N.F.C.). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 851504) and the US National Science Foundation (NSF grant numbers DMR-1610226 and DMR-2004732). A portion of this work was performed at the NHMFL which is supported by the NSF (grant number DMR-1644779) and the State of Florida. S.P. thanks the VILLUM FONDEN for research grant 13376.
DOI: 10.5281/zenodo.4570721
title: Meiofauna Raw Data

description: Data set of meiofauna, and environmental variables collected in Prieta in the year 2017.
DOI: 10.15468/3q8gth
title: Synopsis of the Psychodidae (Diptera) fauna of Bulgaria

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ježek, Jan, Manko, Peter, Oboňa, Jozef (2020): Synopsis of the Psychodidae (Diptera) fauna of Bulgaria. Zootaxa 4877 (2): 201-240, DOI: https://doi.org/10.11646/zootaxa.4877.2.1
DOI: 10.15468/kj6zyw
title: A new species of Lepidotrigla from the South China Sea off Vietnam (Teleostei: Scorpaeniformes: Triglidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Prokofiev, Artem M., Yato, Takuji (2020): A new species of Lepidotrigla from the South China Sea off Vietnam (Teleostei: Scorpaeniformes: Triglidae). Zootaxa 4877 (2): 373-385, DOI: https://doi.org/10.11646/zootaxa.4877.2.9
DOI: 10.15468/7khhgy
title: New species and records of the genus Ammophila W. Kirby, 1798 (Hymenoptera Sphecidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Olszewski, Piotr, Danilov, Yuriy N. (2020): New species and records of the genus Ammophila W. Kirby, 1798 (Hymenoptera Sphecidae). Zootaxa 4878 (1): 189-194, DOI: https://doi.org/10.11646/zootaxa.4878.1.10
DOI: 10.5281/zenodo.4570743
title: ASTRA OSSET simulated ground-based GPS data

description: <pre>The data were simulated using the Observation System Simulation Experiment Tool (OSSET). OSEET was developed by ASTRA LLC to provide the Air Force (AF) the capability to perform assessments of the utility of existing and planned sensors for ionospheric specification. </pre>
DOI: 10.5281/zenodo.4570742
title: ASTRA OSSET simulated ground-based GPS data

description: <pre>The data were simulated using the Observation System Simulation Experiment Tool (OSSET). OSEET was developed by ASTRA LLC to provide the Air Force (AF) the capability to perform assessments of the utility of existing and planned sensors for ionospheric specification. </pre>
DOI: 10.15468/pv89jx
title: New insights on the systematics and reproductive behaviour in tree frogs of the genus Feihyla, with description of a new related genus from Asia (Anura, Rhacophoridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Biju, S. D., Garg, Sonali, Gokulakrishnan, G., Chandrakasan, Sivaperuman, Thammachoti, Panupong, Ren, Jinlong, Gopika, C., Bisht, Karan, Hamidy, Amir, Shouche, Yogesh (2020): New insights on the systematics and reproductive behaviour in tree frogs of the genus Feihyla, with description of a new related genus from Asia (Anura, Rhacophoridae). Zootaxa 4878 (1): 1-55, DOI: https://doi.org/10.11646/zootaxa.4878.1.1
DOI: 10.4231/r7zs2tg7
title: Data from Benefits of Coinfection experiments

description: These data correspond to a paper entitled &quot;The benefits of coinfection: Trematodes alter disease outcomes associated with virus infection&quot; by Wuerthner, Hua, and Hoverman published in the Journal of Animal Ecology
DOI: 10.21227/ac5b-zk53
title: UBFC-Phys

description: The UBFC-Phys dataset is a public multimodal dataset dedicated to psychophysiological studies. 56 participants followed a three-step experience where they lived social stress through a rest task T1, a speech task T2 and an arithmetic task T3. During the experience, the participants were filmed and were wearing a wristband that measured their Blood Volume Pulse (BVP) and ElectroDermal Activity(EDA) signals. Before the experience started and once it finished, the participants filled a form allowing to compute their self-reported anxiety scores. The dataset contains video recordings and BVP / EDA signals of participants measured during the three tasks, as well as their anxiety scores computed before and after the experience sessions.
DOI: 10.4231/r7rx992t
title: Data from neonicotinoid experiments and field surveys

description: Study examining the effects of neonicotinoids on aquatic communities
DOI: 10.5281/zenodo.4570780
title: CABra: a novel large-sample dataset for Brazilian catchments

description: Hydrometeorological time series and catchment attributes from the CABra dataset. The manuscript of "CABra: a novel large-sample dataset for Brazilian catchments" is under review on Hydrology and Earth System Sciences (HESS) journal. Here we present the Catchments Attributes for Brazil (CABra), which is a large-sample dataset for Brazilian catchments that includes long-term data (30 years) for 735 catchments in eight main catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land-use and land-cover, and hydrologic disturbance). We have collected and synthesized data from multiple sources (ground stations, remote sensing, and gridded datasets). To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model and the coordinates of the streamflow stations provided by the Brazilian Water Agency (ANA), where only the stations with 30 years (1980-2010) of data and less than 10% of missing records were included. Catchment areas range from 9 to 4,800,000 km² and the mean daily streamflow varies from 0.02 to 9 mm day<sup>-1</sup>. Several signatures and indices were calculated based on the climate and streamflow data. Additionally, our dataset includes boundary shapefiles, geographic coordinates, and drainage area for each catchment, aside from more than 100 attributes within the attribute classes. Data can be also accessed at: thecabradataset.shinyapps.io/CABra
description: For any questions contact andre.almagro@gmail.com
DOI: 10.18112/openneuro.ds003549.v1.0.0
title: Visser, Scholte Kindt (2011) Journal of Neuroscience
DOI: 10.18119/n9dp4x
title: Network-Based Classification (GBM, Fig. 4A)
DOI: 10.18119/n9902b
title: SARS-CoV STRESS GRANULES
DOI: 10.5281/zenodo.4570817
title: Data&software

description: Software and Data - Model ITIL
DOI: 10.5281/zenodo.4570816
title: Data&software

description: Software and Data - Model ITIL
DOI: 10.6084/m9.figshare.8057273
title: Polynomials Defining Teichmüller Curves and Their Factorizations mod <i>p</i>

description: We investigate the arithmetic nature of Teichmüller curves in the spirit of the theory developed for classical modular curves. We focus on the Weierstrass curves for square discriminants introduced in [McMullen 05] which give arithmetic Teichmüller curves in genus two. For these curves, we introduce an analog of the classical modular polynomials. These Weierstrass polynomials have integer coefficients and give defining equations for Weierstrass curves. We formulate, and provide evidence towards, several conjectures concerning the factorizations of Weierstrass polynomials in positive characteristic similar to the factorizations for modular polynomials discovered by Kronecker and Deuring.
DOI: 10.6084/m9.figshare.8057273.v1
title: Polynomials Defining Teichmüller Curves and Their Factorizations mod <i>p</i>

description: We investigate the arithmetic nature of Teichmüller curves in the spirit of the theory developed for classical modular curves. We focus on the Weierstrass curves for square discriminants introduced in [McMullen 05] which give arithmetic Teichmüller curves in genus two. For these curves, we introduce an analog of the classical modular polynomials. These Weierstrass polynomials have integer coefficients and give defining equations for Weierstrass curves. We formulate, and provide evidence towards, several conjectures concerning the factorizations of Weierstrass polynomials in positive characteristic similar to the factorizations for modular polynomials discovered by Kronecker and Deuring.
DOI: 10.5281/zenodo.4569912
title: Ecosystem maps

description: Global maps of habitat combining more than 30 environmental datasets and are based on the definitions provided by the IUCN habitat class scheme.
DOI: 10.5281/zenodo.4570825
title: Numerical Inside View of Hypermassive Remnant Models for GW170817 supplemental data

description: This archive contains gravitational waveform data discussed in the article Wolfgang Kastaun, Frank Ohme, "Numerical Inside View of Hypermassive Remnant Models for GW170817" (2021) It was extracted from numerical simulations using the SFHO EOS and the chirp mass inferred for GW170817, using two mass ratios 1 and 0.9. Both the raw numerical waveform and a hybridized waveform are provided. The data format is described in the README file.
DOI: 10.17632/ctbcxcmnfj.3
title: Data for: To app or not to app: A business-to-business seller’s decision

description: B2B Mobile Apps Adoption
DOI: 10.6084/m9.figshare.14097263.v1
title: Human femur section (female, 77 years) CT stack

description: Section of a human femur from a 77-year-old female.Voxel size: 0.01 mm <br>The samples was retrieved following ethical approval and patient consent.
DOI: 10.5517/ccdc.csd.cc21v042
title: CCDC 1901823: Experimental Crystal Structure Determination

description: Related Article: Wei-Chao Song, Chen-Chen Geng, Sheng-Yang Li, Ling Liang, Xiu-Guang Wang, En-Cui Yang, Xiao-Jun Zhao|2021|Chem.Commun.|57|2148|doi:10.1039/D0CC08021G
DOI: 10.5517/ccdc.csd.cc2266wd
title: CCDC 1912603: Experimental Crystal Structure Determination

description: Related Article: Olivier Renier, Guillaume Bousrez, Mei Yang, Milena Hölter, Bert Mallick, Volodymyr Smetana, Anja-Verena Mudring|2021|CrystEngComm|23|1785|doi:10.1039/D0CE01672A
DOI: 10.5517/ccdc.csd.cc2266xf
title: CCDC 1912604: Experimental Crystal Structure Determination

description: Related Article: Olivier Renier, Guillaume Bousrez, Mei Yang, Milena Hölter, Bert Mallick, Volodymyr Smetana, Anja-Verena Mudring|2021|CrystEngComm|23|1785|doi:10.1039/D0CE01672A
DOI: 10.5517/ccdc.csd.cc2266yg
title: CCDC 1912605: Experimental Crystal Structure Determination

description: Related Article: Olivier Renier, Guillaume Bousrez, Mei Yang, Milena Hölter, Bert Mallick, Volodymyr Smetana, Anja-Verena Mudring|2021|CrystEngComm|23|1785|doi:10.1039/D0CE01672A
DOI: 10.5517/ccdc.csd.cc24xj0m
title: CCDC 1993610: Experimental Crystal Structure Determination

description: Related Article: Rong Wan, Zhen Liu, Xinyi Ma, Huafeng Li, Pengtao Ma, Chao Zhang, Jingyang Niu, Jingping Wang|2021|Chem.Commun.|57|2172|doi:10.1039/D0CC07590F
DOI: 10.5517/ccdc.csd.cc24xj1n
title: CCDC 1993611: Experimental Crystal Structure Determination

description: Related Article: Rong Wan, Zhen Liu, Xinyi Ma, Huafeng Li, Pengtao Ma, Chao Zhang, Jingyang Niu, Jingping Wang|2021|Chem.Commun.|57|2172|doi:10.1039/D0CC07590F
DOI: 10.5517/ccdc.csd.cc25bb73
title: CCDC 2005924: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Flavia Pop, Paul A. Hume, Alanna S. Murphy, William Lewis, E. Stephen Davies, Stephen P. Argent, David B. Amabilino|2021|CrystEngComm|23|1796|doi:10.1039/D1CE00039J
DOI: 10.5517/ccdc.csd.cc25bb84
title: CCDC 2005925: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Flavia Pop, Paul A. Hume, Alanna S. Murphy, William Lewis, E. Stephen Davies, Stephen P. Argent, David B. Amabilino|2021|CrystEngComm|23|1796|doi:10.1039/D1CE00039J
DOI: 10.5517/ccdc.csd.cc25bb95
title: CCDC 2005926: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Flavia Pop, Paul A. Hume, Alanna S. Murphy, William Lewis, E. Stephen Davies, Stephen P. Argent, David B. Amabilino|2021|CrystEngComm|23|1796|doi:10.1039/D1CE00039J
DOI: 10.5517/ccdc.csd.cc25bbb6
title: CCDC 2005927: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Flavia Pop, Paul A. Hume, Alanna S. Murphy, William Lewis, E. Stephen Davies, Stephen P. Argent, David B. Amabilino|2021|CrystEngComm|23|1796|doi:10.1039/D1CE00039J
DOI: 10.5517/ccdc.csd.cc25bbc7
title: CCDC 2005928: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Flavia Pop, Paul A. Hume, Alanna S. Murphy, William Lewis, E. Stephen Davies, Stephen P. Argent, David B. Amabilino|2021|CrystEngComm|23|1796|doi:10.1039/D1CE00039J
DOI: 10.5517/ccdc.csd.cc25bbf9
title: CCDC 2005930: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Flavia Pop, Paul A. Hume, Alanna S. Murphy, William Lewis, E. Stephen Davies, Stephen P. Argent, David B. Amabilino|2021|CrystEngComm|23|1796|doi:10.1039/D1CE00039J
DOI: 10.5517/ccdc.csd.cc25ynxq
title: CCDC 2024514: Experimental Crystal Structure Determination

description: Related Article: Akshoy Jamadar, Chandan Kumar Karan, Subhendu Biswas, Anindita Das|2021|CrystEngComm|23|1695|doi:10.1039/D1CE00101A
DOI: 10.5517/ccdc.csd.cc25ynyr
title: CCDC 2024515: Experimental Crystal Structure Determination

description: Related Article: Akshoy Jamadar, Chandan Kumar Karan, Subhendu Biswas, Anindita Das|2021|CrystEngComm|23|1695|doi:10.1039/D1CE00101A
DOI: 10.5517/ccdc.csd.cc25ynzs
title: CCDC 2024516: Experimental Crystal Structure Determination

description: Related Article: Akshoy Jamadar, Chandan Kumar Karan, Subhendu Biswas, Anindita Das|2021|CrystEngComm|23|1695|doi:10.1039/D1CE00101A
DOI: 10.5517/ccdc.csd.cc25bbd8
title: CCDC 2005929: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Flavia Pop, Paul A. Hume, Alanna S. Murphy, William Lewis, E. Stephen Davies, Stephen P. Argent, David B. Amabilino|2021|CrystEngComm|23|1796|doi:10.1039/D1CE00039J
DOI: 10.5517/ccdc.csd.cc26fyp9
title: CCDC 2039201: Experimental Crystal Structure Determination

description: Related Article: Ruirui Wang, Binling Yao, Feifei Bai, Wen Wang, Licun Li, Yue Ma, Qinglun Wang, Bin Zhao, Yuanzhu Zhang|2021|CrystEngComm|23|1718|doi:10.1039/D0CE01826K
DOI: 10.5517/ccdc.csd.cc26fyrc
title: CCDC 2039203: Experimental Crystal Structure Determination

description: Related Article: Ruirui Wang, Binling Yao, Feifei Bai, Wen Wang, Licun Li, Yue Ma, Qinglun Wang, Bin Zhao, Yuanzhu Zhang|2021|CrystEngComm|23|1718|doi:10.1039/D0CE01826K
DOI: 10.5517/ccdc.csd.cc26q3wy
title: CCDC 2047050: Experimental Crystal Structure Determination

description: Related Article: Sang Loon Tan, Edward R. T. Tiekink|2021|CrystEngComm|23|1723|doi:10.1039/D0CE01810D
DOI: 10.5517/ccdc.csd.cc26q3xz
title: CCDC 2047051: Experimental Crystal Structure Determination

description: Related Article: Sang Loon Tan, Edward R. T. Tiekink|2021|CrystEngComm|23|1723|doi:10.1039/D0CE01810D
DOI: 10.5517/ccdc.csd.cc26q3y0
title: CCDC 2047052: Experimental Crystal Structure Determination

description: Related Article: Sang Loon Tan, Edward R. T. Tiekink|2021|CrystEngComm|23|1723|doi:10.1039/D0CE01810D
DOI: 10.5517/ccdc.csd.cc26q3z1
title: CCDC 2047053: Experimental Crystal Structure Determination

description: Related Article: Sang Loon Tan, Edward R. T. Tiekink|2021|CrystEngComm|23|1723|doi:10.1039/D0CE01810D
DOI: 10.5517/ccdc.csd.cc26wb6n
title: CCDC 2052051: Experimental Crystal Structure Determination

description: Related Article: Hiroki Morita, Shigehisa Akine, Takashi Nakamura, Tatsuya Nabeshima|2021|Chem.Commun.|57|2124|doi:10.1039/D1CC00146A
DOI: 10.5517/ccdc.csd.cc26wdr8
title: CCDC 2052130: Experimental Crystal Structure Determination

description: Related Article: Shuohao Li, Yongnan Sun, Chenyang Wu, Weigang Hu, Wei Li, Xu Liu, Mingyang Chen, Yan Zhu|2021|Chem.Commun.|57|2176|doi:10.1039/D0CC08327E
DOI: 10.5517/ccdc.csd.cc24968y
title: CCDC 1975049: Experimental Crystal Structure Determination

description: Related Article: Pooja Rani, Ahmad Husain, Ananya Shukla, Neha Singla, Ankit Kumar Srivastava, Gulshan Kumar, K. K. Bhasin, Girijesh Kumar|2021|CrystEngComm|23|1859|doi:10.1039/D0CE01719A
DOI: 10.5517/ccdc.csd.cc2496b0
title: CCDC 1975051: Experimental Crystal Structure Determination

description: Related Article: Pooja Rani, Ahmad Husain, Ananya Shukla, Neha Singla, Ankit Kumar Srivastava, Gulshan Kumar, K. K. Bhasin, Girijesh Kumar|2021|CrystEngComm|23|1859|doi:10.1039/D0CE01719A
DOI: 10.5517/ccdc.csd.cc24969z
title: CCDC 1975050: Experimental Crystal Structure Determination

description: Related Article: Pooja Rani, Ahmad Husain, Ananya Shukla, Neha Singla, Ankit Kumar Srivastava, Gulshan Kumar, K. K. Bhasin, Girijesh Kumar|2021|CrystEngComm|23|1859|doi:10.1039/D0CE01719A
DOI: 10.5517/ccdc.csd.cc227lb8
title: CCDC 1913919: Experimental Crystal Structure Determination

description: Related Article: I. Fidan, E. Onal, C. Hirel|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|137|doi:10.1107/S2053229621001832
DOI: 10.5517/ccdc.csd.cc248l34
title: CCDC 1974455: Experimental Crystal Structure Determination

description: Related Article: Nokwanda Tsaulwayo, Robert T. Kumah, Stephen O. Ojwach|2021|Polyhedron|197|115034|doi:10.1016/j.poly.2021.115034
DOI: 10.5281/zenodo.4570570
title: LiDAR-based glacial geomorphological dataset, southern sector of Baltic Ice Stream Complex, last Scandinavian Ice Sheet, Poland

description: This GIS dataset contains results of glacial geomorphological mapping of central west Poland based on a 0.4 m high-resolution Digital Elevation Model derived from airborne Light Detection and Ranging data. The mapped area covers area of 65 000 km<sup>2</sup> located along the southern sector of the last Scandinavian Ice Sheet within the limits of the terrestrially terminating Baltic Ice Stream Complex. The GIS dataset contains 5461 features in GeoPackage format that represent: Mega-Scale Glacial Lineations, drumlins, marginal features (moraine chains, abrupt margins, edges of ice-contact fans), ribbed moraines, tunnel valleys, eskers, geometrical ridge networks and hill-hole pairs. The dataset is accompanied by map presenting the dataset - Glacial geomorphology of the southern sector of the last Scandinavian Ice Sheet, central west Poland, that is produced in PDF format and designed to be viewed at a scale of 1:500000. These data constitute a valuable source for reconstructing ice dynamics and constraining modelling of the southern sector of the last Scandinavian Ice Sheet, modelling the response of ice to climatic changes, and subglacial landform formation. These data allow comparison between subglacial landforms between localities, including both formerly glaciated and modern glaciated areas occupied by ice streams.
description: This work was supported by the Polish National Science Centre (NCN) under Grant [2015/17/D/ST10/01975]. Chris Clark and Stephen Livingstone were supported by the PalGlac project funded from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No. 787263)
DOI: 10.5281/zenodo.4541233
title: LiDAR-based glacial geomorphological dataset, southern sector of Baltic Ice Stream Complex, last Scandinavian Ice Sheet, Poland

description: This GIS dataset contains results of glacial geomorphological mapping of central west Poland based on a 0.4 m high-resolution Digital Elevation Model derived from airborne Light Detection and Ranging data. The mapped area covers area of 65 000 km<sup>2</sup> located along the southern sector of the last Scandinavian Ice Sheet within the limits of the terrestrially terminating Baltic Ice Stream Complex. The GIS dataset contains 5461 features in GeoPackage format that represent: Mega-Scale Glacial Lineations, drumlins, marginal features (moraine chains, abrupt margins, edges of ice-contact fans), ribbed moraines, tunnel valleys, eskers, geometrical ridge networks and hill-hole pairs. The dataset is accompanied by map presenting the dataset - Glacial geomorphology of the southern sector of the last Scandinavian Ice Sheet, central west Poland, that is produced in PDF format and designed to be viewed at a scale of 1:500000. These data constitute a valuable source for reconstructing ice dynamics and constraining modelling of the southern sector of the last Scandinavian Ice Sheet, modelling the response of ice to climatic changes, and subglacial landform formation. These data allow comparison between subglacial landforms between localities, including both formerly glaciated and modern glaciated areas occupied by ice streams.
description: This work was supported by the Polish National Science Centre (NCN) under Grant [2015/17/D/ST10/01975]. Chris Clark and Stephen Livingstone were supported by the PalGlac project funded from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No. 787263)
DOI: 10.15468/a5wu6c
title: Nomenclatural changes in the suborders Auchenorrhyncha (Hemiptera) and Paleorrhyncha (Palaeohemiptera)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dmitriev, Dmitry A. (2020): Nomenclatural changes in the suborders Auchenorrhyncha (Hemiptera) and Paleorrhyncha (Palaeohemiptera). Zootaxa 4881 (1): 25-53, DOI: https://doi.org/10.11646/zootaxa.4881.1.2