cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1327849.08fu
title: SH1327849.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2006928.08fu
title: SH2006928.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2006929.08fu
title: SH2006929.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2006930.08fu
title: SH2006930.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1327850.08fu
title: SH1327850.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1327851.08fu
title: SH1327851.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2006931.08fu
title: SH2006931.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc21w7ck
title: CCDC 1903008: Experimental Crystal Structure Determination

description: Related Article: Jie Zhou, Xu Huang-Fu, Yang-Ying Huang, Chu-Ning Cao, Jie Han, Xiao-Li Zhao, Xu-Dong Chen|2020|Inorg.Chem.|59|254|doi:10.1021/acs.inorgchem.9b02084
DOI: 10.5517/ccdc.csd.cc22006b
title: CCDC 1906630: Experimental Crystal Structure Determination

description: Related Article: Zhan Yang, Chao Xu, Wenlang Li, Zhu Mao, Xiangyu Ge, Qiuyi Huang, Huangjun Deng, Juan Zhao, Feng Long Gu, Yi Zhang, Zhenguo Chi|2020|Angew.Chem.,Int.Ed.|59|17451|doi:10.1002/anie.202007343
DOI: 10.5517/ccdc.csd.cc2200fk
title: CCDC 1906637: Experimental Crystal Structure Determination

description: Related Article: Zhan Yang, Chao Xu, Wenlang Li, Zhu Mao, Xiangyu Ge, Qiuyi Huang, Huangjun Deng, Juan Zhao, Feng Long Gu, Yi Zhang, Zhenguo Chi|2020|Angew.Chem.,Int.Ed.|59|17451|doi:10.1002/anie.202007343
DOI: 10.5517/ccdc.csd.cc2200kp
title: CCDC 1906641: Experimental Crystal Structure Determination

description: Related Article: Zhan Yang, Chao Xu, Wenlang Li, Zhu Mao, Xiangyu Ge, Qiuyi Huang, Huangjun Deng, Juan Zhao, Feng Long Gu, Yi Zhang, Zhenguo Chi|2020|Angew.Chem.,Int.Ed.|59|17451|doi:10.1002/anie.202007343
DOI: 10.5517/ccdc.csd.cc22186m
title: CCDC 1907839: Experimental Crystal Structure Determination

description: Related Article: Jesus Daniel Loya, Selena J. Li, Daniel K. Unruh, Kristin M. Hutchins|2019|Supramol.Chem.|31|558|doi:10.1080/10610278.2019.1635695
DOI: 10.5517/ccdc.csd.cc22187n
title: CCDC 1907840: Experimental Crystal Structure Determination

description: Related Article: Jesus Daniel Loya, Selena J. Li, Daniel K. Unruh, Kristin M. Hutchins|2019|Supramol.Chem.|31|558|doi:10.1080/10610278.2019.1635695
DOI: 10.5517/ccdc.csd.cc22188p
title: CCDC 1907841: Experimental Crystal Structure Determination

description: Related Article: Jesus Daniel Loya, Selena J. Li, Daniel K. Unruh, Kristin M. Hutchins|2019|Supramol.Chem.|31|558|doi:10.1080/10610278.2019.1635695
DOI: 10.5517/ccdc.csd.cc22189q
title: CCDC 1907842: Experimental Crystal Structure Determination

description: Related Article: Jesus Daniel Loya, Selena J. Li, Daniel K. Unruh, Kristin M. Hutchins|2019|Supramol.Chem.|31|558|doi:10.1080/10610278.2019.1635695
DOI: 10.5517/ccdc.csd.cc2218br
title: CCDC 1907843: Experimental Crystal Structure Determination

description: Related Article: Jesus Daniel Loya, Selena J. Li, Daniel K. Unruh, Kristin M. Hutchins|2019|Supramol.Chem.|31|558|doi:10.1080/10610278.2019.1635695
DOI: 10.5517/ccdc.csd.cc1nm2s4
title: CCDC 1537686: Experimental Crystal Structure Determination

description: Related Article: Rahila Huma, Tariq Mahmud, Nazeran Idrees, Muhammad Jawwad Saif, Rubina Munir, Nosheen Akbar|2020|J.Chem.Cryst.|50|187|doi:10.1007/s10870-019-00786-5
DOI: 10.5517/ccdc.csd.cc224mtp
title: CCDC 1911082: Experimental Crystal Structure Determination

description: Related Article: Maurice Sorolla, Xiqu Wang, Lenka Kubíčková, Vadim Ksenofontov, Angela Möller, Allan J. Jacobson|2020|Inorg.Chem.|59|1068|doi:10.1021/acs.inorgchem.9b02616
DOI: 10.5517/ccdc.csd.cc225yw3
title: CCDC 1912355: Experimental Crystal Structure Determination

description: Related Article: Kamal K. Ray, Gonzalo Campillo-Alvarado, Hugo Morales-Rojas, Herbert Höpfl, Leonard R. MacGillivray, Alexei V. Tivanski|2020|Cryst.Growth Des.|20|3|doi:10.1021/acs.cgd.9b00953
DOI: 10.5517/ccdc.csd.cc225yx4
title: CCDC 1912356: Experimental Crystal Structure Determination

description: Related Article: Kamal K. Ray, Gonzalo Campillo-Alvarado, Hugo Morales-Rojas, Herbert Höpfl, Leonard R. MacGillivray, Alexei V. Tivanski|2020|Cryst.Growth Des.|20|3|doi:10.1021/acs.cgd.9b00953
DOI: 10.5517/ccdc.csd.cc22c9md
title: CCDC 1917493: Experimental Crystal Structure Determination

description: Related Article: Vanessa K. Seiler, Nikolay Tumanov, Koen Robeyns, Benoit Champagne, Johan Wouters, Tom Leyssens|2020|Cryst.Growth Des.|20|608|doi:10.1021/acs.cgd.9b00903
DOI: 10.5517/ccdc.csd.cc22c9nf
title: CCDC 1917494: Experimental Crystal Structure Determination

description: Related Article: Vanessa K. Seiler, Nikolay Tumanov, Koen Robeyns, Benoit Champagne, Johan Wouters, Tom Leyssens|2020|Cryst.Growth Des.|20|608|doi:10.1021/acs.cgd.9b00903
DOI: 10.5517/ccdc.csd.cc22c9pg
title: CCDC 1917495: Experimental Crystal Structure Determination

description: Related Article: Vanessa K. Seiler, Nikolay Tumanov, Koen Robeyns, Benoit Champagne, Johan Wouters, Tom Leyssens|2020|Cryst.Growth Des.|20|608|doi:10.1021/acs.cgd.9b00903
DOI: 10.5517/ccdc.csd.cc22c9qh
title: CCDC 1917496: Experimental Crystal Structure Determination

description: Related Article: Vanessa K. Seiler, Nikolay Tumanov, Koen Robeyns, Benoit Champagne, Johan Wouters, Tom Leyssens|2020|Cryst.Growth Des.|20|608|doi:10.1021/acs.cgd.9b00903
DOI: 10.5517/ccdc.csd.cc22c9rj
title: CCDC 1917497: Experimental Crystal Structure Determination

description: Related Article: Vanessa K. Seiler, Nikolay Tumanov, Koen Robeyns, Benoit Champagne, Johan Wouters, Tom Leyssens|2020|Cryst.Growth Des.|20|608|doi:10.1021/acs.cgd.9b00903
DOI: 10.5517/ccdc.csd.cc22c9sk
title: CCDC 1917498: Experimental Crystal Structure Determination

description: Related Article: Vanessa K. Seiler, Nikolay Tumanov, Koen Robeyns, Benoit Champagne, Johan Wouters, Tom Leyssens|2020|Cryst.Growth Des.|20|608|doi:10.1021/acs.cgd.9b00903
DOI: 10.5281/zenodo.4064862
title: Dislocation Mobilities in BCC and B2 Metals as Determined from Atomistic Simulations

description: Data regarding the velocity of dislocations subjected to different stresses at temperatures determined by molecular dynamics simulations in a tar file. The simulation setup and main results are presented in<br> Setup_and_resulting_plots.pdf The folder RESULTS contains the results for edge dislocations in the folder EDGE-DISLOCATION and the results of screw dislocations in the folder SCREW-DISLOCATION Two types of resulting data are provided in RESULTS:<br> - Steady state velocities (6th column, unit Angstrom/ps) as function of shear stress (2nd column, unit MPa) and temperature (1st column, unit Kelvin),<br> these are named: v_tau_T*.dat<br> - Dislocation position (2nd column, unit Angstrom) as function of time (1st column, unit ps) for different dislocations, stress and temperature,<br> these are named: x_t_T*K_tau*MPa_*.dat # Studied Materials/crystal structures<br> Fe/bcc<br> W/bcc<br> NiAl/B2 # Studied potentials:<br> Fe_Chiesa : https://www.ctcms.nist.gov/potentials/entry/2011--Chiesa-S-Derlet-P-M-Dudarev-S-L-Swygenhoven-H-V--Fe-33/<br> Fe_Mendelev_II: https://www.ctcms.nist.gov/potentials/entry/2003--Mendelev-M-I-Han-S-Srolovitz-D-J-et-al--Fe-2/<br> W_Wang : https://www.ctcms.nist.gov/potentials/entry/2013--Wang-J-Zhou-Y-L-Li-M-Hou-Q--W/<br> NiAl_Pun : https://www.ctcms.nist.gov/potentials/entry/2009--Purja-Pun-G-P-Mishin-Y--Ni-Al/ # Studied dislocations / Potential / Temparature<br> perfect edge dislocation / Fe_Chiesa / 30K<br> perfect edge dislocation / Fe_Chiesa / 300K<br> perfect edge dislocation / Fe_Mendelev_II / 30K<br> perfect edge dislocation / Fe_Mendelev_II / 300K<br> perfect edge dislocation / W_Wang / 30K<br> perfect edge dislocation / W_Wang / 300K<br> perfect edge dislocation / NiAl_Pun / 30K<br> perfect edge dislocation / NiAl_Pun / 300K<br> perfect screw dislocation / NiAl_Pun / 30K The files necessary to reproduce the results in the folder SIMULATION-FILES and described there.
DOI: 10.5281/zenodo.4064861
title: Dislocation Mobilities in BCC and B2 Metals as Determined from Atomistic Simulations

description: Data regarding the velocity of dislocations subjected to different stresses at temperatures determined by molecular dynamics simulations in a tar file. The simulation setup and main results are presented in<br> Setup_and_resulting_plots.pdf The folder RESULTS contains the results for edge dislocations in the folder EDGE-DISLOCATION and the results of screw dislocations in the folder SCREW-DISLOCATION Two types of resulting data are provided in RESULTS:<br> - Steady state velocities (6th column, unit Angstrom/ps) as function of shear stress (2nd column, unit MPa) and temperature (1st column, unit Kelvin),<br> these are named: v_tau_T*.dat<br> - Dislocation position (2nd column, unit Angstrom) as function of time (1st column, unit ps) for different dislocations, stress and temperature,<br> these are named: x_t_T*K_tau*MPa_*.dat # Studied Materials/crystal structures<br> Fe/bcc<br> W/bcc<br> NiAl/B2 # Studied potentials:<br> Fe_Chiesa : https://www.ctcms.nist.gov/potentials/entry/2011--Chiesa-S-Derlet-P-M-Dudarev-S-L-Swygenhoven-H-V--Fe-33/<br> Fe_Mendelev_II: https://www.ctcms.nist.gov/potentials/entry/2003--Mendelev-M-I-Han-S-Srolovitz-D-J-et-al--Fe-2/<br> W_Wang : https://www.ctcms.nist.gov/potentials/entry/2013--Wang-J-Zhou-Y-L-Li-M-Hou-Q--W/<br> NiAl_Pun : https://www.ctcms.nist.gov/potentials/entry/2009--Purja-Pun-G-P-Mishin-Y--Ni-Al/ # Studied dislocations / Potential / Temparature<br> perfect edge dislocation / Fe_Chiesa / 30K<br> perfect edge dislocation / Fe_Chiesa / 300K<br> perfect edge dislocation / Fe_Mendelev_II / 30K<br> perfect edge dislocation / Fe_Mendelev_II / 300K<br> perfect edge dislocation / W_Wang / 30K<br> perfect edge dislocation / W_Wang / 300K<br> perfect edge dislocation / NiAl_Pun / 30K<br> perfect edge dislocation / NiAl_Pun / 300K<br> perfect screw dislocation / NiAl_Pun / 30K The files necessary to reproduce the results in the folder SIMULATION-FILES and described there.
DOI: 10.15468/nt4sqv
title: Widespread polytypic species or complexes of local species? Revising bumblebees of the subgenus Melanobombus world-wide (Hymenoptera, Apidae, Bombus)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Williams, Paul H., Altanchimeg, Dorjsuren, Byvaltsev, Alexandr, Jonghe, Roland De, Jaffar, Saleem, Japoshvili, George, Kahono, Sih, Liang, Huan, Mei, Maurizio, Monfared, Alireza, Nidup, Tshering, Raina, Rifat, Ren, Zongxin, Thanoosing, Chawatat, Zhao, Yanhui, Orr, Michael C. (2020): Widespread polytypic species or complexes of local species? Revising bumblebees of the subgenus Melanobombus world-wide (Hymenoptera, Apidae, Bombus). European Journal of Taxonomy 719: 1-120, DOI: https://doi.org/10.5852/ejt.2020.719
DOI: 10.5281/zenodo.4064870
title: Effectiveness of traps and attractants in mass capture of Hypothenemus hampei in Sao Tome Island

description: In this sense, we studied the bio-ecology of the CBB, in particular the presence of immature stages and adult of CBB during the development of the coffee berry, and to quantify population levels, as well as CBB infestation, natural enemies and penetration rates inside developing coffee berries in six coffee plantations of CECAFEB located in three regions (Districts) and one in the Centre of Technological and Agricultural Investigation of Sao Tome and Principe-Experimental Base of Industrial Crops (CIAT/STP-BECI). We also evaluate attractants in home-made traps baited for mass capture of the CBB in three coffee plantations of CECAFEB located in two regions (Districts).
DOI: 10.5281/zenodo.4064869
title: Effectiveness of traps and attractants in mass capture of Hypothenemus hampei in Sao Tome Island

description: In this sense, we studied the bio-ecology of the CBB, in particular the presence of immature stages and adult of CBB during the development of the coffee berry, and to quantify population levels, as well as CBB infestation, natural enemies and penetration rates inside developing coffee berries in six coffee plantations of CECAFEB located in three regions (Districts) and one in the Centre of Technological and Agricultural Investigation of Sao Tome and Principe-Experimental Base of Industrial Crops (CIAT/STP-BECI). We also evaluate attractants in home-made traps baited for mass capture of the CBB in three coffee plantations of CECAFEB located in two regions (Districts).
DOI: 10.5281/zenodo.3957700
title: Performance measurements for in-depth energy analysis of security algorithms and protocols for the Internet of Things

description: Performance dataset of cryptographic algorithms running on the following embedded devices (results in ms): <strong>nuc </strong>The NUCLEO-L073RZ is a STM32 Nucleo-64 Development Board of STMicroelectronics. It features the STM32L073RZT6 32~MHz ARM Cortex-M0+ microcontroller with 192~KB flash memory and 20~KB RAM.<br> <strong>msp </strong>The TI SimpleLink MSP-EXP432P401R development kit uses the MSP432P401R 48~MHz ARM Cortex-M4F microcontroller with 256~KB flash and 64~KB RAM.<br> <strong>max </strong>The MAXREFDES\#100 health sensor platform features the MAX32620 96~MHz ARM Cortex-M4F microcontroller with 2~MB flash and 256~KB RAM. It has a wide range of sensors, like a human body temperature sensor and a heart rate sensor. The measured cryptographic operations: <strong>The basic arithmetic operations for elliptic curve cryptography </strong>(point addition~(PA), point doubling~(PD), point multiplication~(PM), and fixed-point multiplication~(PMG)) <strong>The AES symmetric-key cipher in five modes of operations</strong> (Electronic Codebook (ECB), Cipher Block Chaining (CBC), Counter (CTR), Counter with CBC-MAC (CCM), and Galois/Counter Mode (GCM)) <strong>Hash functions </strong>(SHA256 and SHA3-256) The performance of all identified basic operations is measured on the three platforms. 50 time measurements are done for each basic operation using the platforms' available timer. Moreover, the AES cipher operation is an encryption on 256 Bytes of data. We have chosen a multiple of the AES block size, because, longer time periods ensure less influence of potential timing inaccuracies like an early start and late end. For the hash function, the maximum input size of the respective algorithm for one round is chosen as follows: 55~B for SHA256 and 135~B for SHA3-256. The total available internal state size is not used for SHA256 and SHA3-256, as we take into account the minimal padding or suffix that is required for the last block of input data. Note that the most optimal scenario, i.e. the maximum amount of input data to fill up the internal state completely, is used for each of the operations. All basic operations are implemented using software libraries and cross-compiled with the GNU Tools for ARM Embedded Processors version 6-2017-q2-update. Furthermore, the compiler is configured to optimise for size (-Os). The RELIC-toolkit library is used to implement the EC arithmetic and the SHA256 hash function. We use the SECG K-256 prime elliptic curve, BASIC;COMBA;COMBA;MONTY;MONTY;SLIDE configuration for the prime field arithmetic, and PROJC;LWNAF;COMBS;INTER}} configuration for the prime elliptic curve arithmetic. For more information on how to configure RELIC and other examples that use it, we refer to the relic-toolkit wiki. The AES ciphers are implemented using Mbed TLS and SHA3 using wolfCrypt. We use the SHA3-256 hash function as specified in FIPS PUB 202.