cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20526489
title: Dates of observations of phenological phenomena in anurans of the Voronezh Nature Reserve

description: Dates of observations of seasonal phenomena in amphibians for the territory of the Voronezh Nature Reserve were obtained in the period from 1990 to 2005. Observations were carried out on permanent routes and stationary sites. We considered three phases of seasonal activity of amphibians, which can be explained in terms of thermal requirements for the advent of a phenological event: “First meeting in spring”, “Start of spawning” and “Emergence of juveniles”. The date of registration of the first sighting of an animal after leaving wintering was taken as the “First meeting in spring”. The date of the first calls of males in a water body was taken as the “Start of spawning”. The date of detection of the first individuals with completed metamorphosis was considered as the “Emergence of juveniles”.
DOI: 10.6084/m9.figshare.20526489.v1
title: Dates of observations of phenological phenomena in anurans of the Voronezh Nature Reserve.docx

description: Dates of observations of seasonal phenomena in amphibians for the territory of the Voronezh Nature Reserve were obtained in the period from 1990 to 2005. Observations were carried out on permanent routes and stationary sites. We considered three phases of seasonal activity of amphibians, which can be explained in terms of thermal requirements for the advent of a phenological event: “First meeting in spring”, “Start of spawning” and “Emergence of juveniles”. The date of registration of the first sighting of an animal after leaving wintering was taken as the “First meeting in spring”. The date of the first calls of males in a water body was taken as the “Start of spawning”. The date of detection of the first individuals with completed metamorphosis was considered as the “Emergence of juveniles”.
DOI: 10.25646/10176
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/10156
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.6854866
title: Genome assemblies of Xanthomonas oryzae pv. oryzae (PXO35, FXO38, Huang604) and Xanthomonas oryzae pv. oryzicola (BAI35, MAI23)

description: Genome assemblies of <em>Xanthomonas oryzae</em> pv. <em>oryzae</em> (<em>Xoo</em>) and <em>Xanthomonas oryzae</em> pv. <em>oryzicola</em> (<em>Xoc</em>). Genome assemblies of the <em>Xoo</em> strains PXO35, FXO38, Huang604 and the <em>Xoc</em> strains BAI35, MAI23, have been generated with Flye based on ONT reads. For each of these strains, we corrected the sequences encoding for transcription activator-like effectors (TALEs) with our TALE-correction pipeline (https://github.com/Jstacs/Jstacs/tree/master/projects/talecorrect). For Xoo PXO35, we additionally provide assemblies based on reads obtained from different sequencing methods (Illumina, PacBio, ONT) generated by a collection of (hybrid) assembly strategies and different polishing approaches applied to combinations of these.
description: Funding: DFG: BO 1496/8-2, DFG: GR 4587/1-2, DFG: FZT 118/2, TMWWDG: 5575/10-9
DOI: 10.5281/zenodo.6854865
title: Genome assemblies of Xanthomonas oryzae pv. oryzae (PXO35, FXO38, Huang604) and Xanthomonas oryzae pv. oryzicola (BAI35, MAI23)

description: Genome assemblies of <em>Xanthomonas oryzae</em> pv. <em>oryzae</em> (<em>Xoo</em>) and <em>Xanthomonas oryzae</em> pv. <em>oryzicola</em> (<em>Xoc</em>). Genome assemblies of the <em>Xoo</em> strains PXO35, FXO38, Huang604 and the <em>Xoc</em> strains BAI35, MAI23, have been generated with Flye based on ONT reads. For each of these strains, we corrected the sequences encoding for transcription activator-like effectors (TALEs) with our TALE-correction pipeline (https://github.com/Jstacs/Jstacs/tree/master/projects/talecorrect). For Xoo PXO35, we additionally provide assemblies based on reads obtained from different sequencing methods (Illumina, PacBio, ONT) generated by a collection of (hybrid) assembly strategies and different polishing approaches applied to combinations of these.
description: Funding: DFG: BO 1496/8-2, DFG: GR 4587/1-2, DFG: FZT 118/2, TMWWDG: 5575/10-9
DOI: 10.6084/m9.figshare.20526705
title: threecontext.zip

description: dataset for arXiv: 2208.07794
DOI: 10.25646/10205
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.6900865
title: Dataset from: Multi-messenger observations of binary neutron star mergers in the O4 run

description: The binary neutron stars population data from the paper <strong><em>"Multi-messenger observations of binary neutron star mergers in the O4 run" </em>(https://arxiv.org/abs/2204.07592).</strong> Details of how to use the data, as well as the scripts to reproduce the figures of the main text of the paper are given in the accompanying Github repository https://github.com/acolombo140/O4NSNS If you use this data, please cite the above manuscript.
DOI: 10.5281/zenodo.6900864
title: Dataset from: Multi-messenger observations of binary neutron star mergers in the O4 run

description: The binary neutron stars population data from the paper <strong><em>"Multi-messenger observations of binary neutron star mergers in the O4 run" </em>(https://arxiv.org/abs/2204.07592).</strong> Details of how to use the data, as well as the scripts to reproduce the figures of the main text of the paper are given in the accompanying Github repository https://github.com/acolombo140/O4NSNS If you use this data, please cite the above manuscript.
DOI: 10.6084/m9.figshare.20526492
title: Average daily air temperatures obtained from the weather station of the Voronezh Nature Reserve from 1990 to 2005

description: Daily data on average daily air temperature for the entire study period were obtained from the weather station of the nature reserve. A table with average daily temperatures was created, with columns representing years of observation, and numbered rows representing the sequence of average daily temperatures for each day of the year.
DOI: 10.25646/10032
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/10059
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/9767
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/9764
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5517/ccdc.csd.ccrwh58
title: CCDC 711610: Experimental Crystal Structure Determination

description: Related Article: Ling-Ling Zheng|2013|Journal of Inorganic Chemistry (New York)|2013|206589|doi:10.1155/2013/206589
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24gmw4
title: CCDC 1980276: Experimental Crystal Structure Determination

description: Related Article: Konrad Pawluczyk, W. Fabiola Sanjuan‐Szklarz, Krzysztof Woźniak, Jarosław Kowalski|2021|Eur.J.Inorg.Chem.|2021|763|doi:10.1002/ejic.202001044
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21nv6s
title: CCDC 1896865: Experimental Crystal Structure Determination

description: Related Article: Y. Singh, Ram N. Patel, Satish K. Patel, R.N. Jadeja, Abhay K. Patel, Neetu Patel, H. Roy, P. Kumar, R.J. Butcher, Jerry P. Jasinski, M. Cortijo, S. Herrero|2021|Polyhedron|200|115142|doi:10.1016/j.poly.2021.115142
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc240kmc
title: CCDC 1966752: Experimental Crystal Structure Determination

description: Related Article: S. Gao, F.R. Fronczek, A.W. Maverick|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|282|doi:10.1107/S2056989021001286
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26xfsc
title: CCDC 2053123: Experimental Crystal Structure Determination

description: Related Article: V. Mahesh Krishnan, Dimitar Y. Shopov, Caitlin J. Bouchey, Wilson D. Bailey, Riffat Parveen, Bess Vlaisavljevich, William B. Tolman|2021|J.Am.Chem.Soc.|143|3295|doi:10.1021/jacs.0c13470
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27jvbz
title: CCDC 2071771: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Keith A. Stubbs, Siobhan Wills|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6940093
title: South Pacific precipitation dataset: PACRAIN, TRMM, ERA5 and calibrated precipitation series.

description: This dataset contains a set of stations located in the South Pacific region, obtained from the PACRAIN (Pacific Rainfall Database). Similarly, the TRMM (Tropical Rainfall Measuring Mission) satellite precipitation series and the ERA5 reanalysis precipitation series have been extracted for the aforementioned stations. For the stations corresponding to IDs NZ75400, NZ82400, NZ84317, NZ99701, SP00646, US14000 and US14690, the following <strong>daily</strong> variables are included: TRMM raw ERA5 raw PACRAIN Weather type associated TRMM calibrated (scaling) TRMM calibrated (empirical quantile mapping) TRMM calibrated (scaling conditioned) TRMM calibrated (empirical quantile mapping conditioned) where the last four are a consequence of the application of 4 different calibration methods. A summary of the stations is shown in the following table: Station Id Station Name Longitude Latitude Start End % Missing Data Altitude NZ75400 Kolopelu (Wallis and Futuna) -178.12 -14.32 1998-01-01 2012-01-01 9.74 36 NZ82400 Alofi (Niue) -163.93 -19.07 1998-01-01* 2010-09-02 2.68 59 NZ84317 Rarotonga (Cook Islands) -159.8 -21.2 1999-09-28 2012-01-12 11.36 4 NZ99701 Raoul Island (New Zealand) -177.93 -29.23 1998-01-01* 2012-01-01 0.72 49 SP00646 Port Vila (Vanuatu) 168.3 -17.72 2000-01-26 2013-06-01 18.13 24 US14000 Aoloau (American Samoa) -170.77 -14.3 1998-01-01* 2019-12-31* 21.72 408 US14690 Nu'uuli (American Samoa) -170.70 -14.32 1998-01-01* 2019-12-31* 0.037 3
DOI: 10.5281/zenodo.6940094
title: South Pacific precipitation dataset: PACRAIN, TRMM, ERA5 and calibrated precipitation series.

description: This dataset contains a set of stations located in the South Pacific region, obtained from the PACRAIN (Pacific Rainfall Database). Similarly, the TRMM (Tropical Rainfall Measuring Mission) satellite precipitation series and the ERA5 reanalysis precipitation series have been extracted for the aforementioned stations. For the stations corresponding to IDs NZ75400, NZ82400, NZ84317, NZ99701, SP00646, US14000 and US14690, the following <strong>daily</strong> variables are included: TRMM raw ERA5 raw PACRAIN Weather type associated TRMM calibrated (scaling) TRMM calibrated (empirical quantile mapping) TRMM calibrated (scaling conditioned) TRMM calibrated (empirical quantile mapping conditioned) where the last four are a consequence of the application of 4 different calibration methods. A summary of the stations is shown in the following table: Station Id Station Name Longitude Latitude Start End % Missing Data Altitude NZ75400 Kolopelu (Wallis and Futuna) -178.12 -14.32 1998-01-01 2012-01-01 9.74 36 NZ82400 Alofi (Niue) -163.93 -19.07 1998-01-01* 2010-09-02 2.68 59 NZ84317 Rarotonga (Cook Islands) -159.8 -21.2 1999-09-28 2012-01-12 11.36 4 NZ99701 Raoul Island (New Zealand) -177.93 -29.23 1998-01-01* 2012-01-01 0.72 49 SP00646 Port Vila (Vanuatu) 168.3 -17.72 2000-01-26 2013-06-01 18.13 24 US14000 Aoloau (American Samoa) -170.77 -14.3 1998-01-01* 2019-12-31* 21.72 408 US14690 Nu'uuli (American Samoa) -170.70 -14.32 1998-01-01* 2019-12-31* 0.037 3
DOI: 10.5281/zenodo.7014397
title: South Pacific precipitation dataset: PACRAIN, TRMM, ERA5 and calibrated precipitation series.

description: This dataset contains a set of stations located in the South Pacific region, obtained from the PACRAIN (Pacific Rainfall Database). Similarly, the TRMM (Tropical Rainfall Measuring Mission) satellite precipitation series and the ERA5 reanalysis precipitation series have been extracted for the aforementioned stations. For the stations corresponding to IDs NZ75400, NZ82400, NZ84317, NZ99701, SP00646, US14000 and US14690, the following <strong>daily</strong> variables are included: TRMM raw ERA5 raw PACRAIN Weather type associated TRMM calibrated (scaling) TRMM calibrated (empirical quantile mapping) TRMM calibrated (scaling conditioned) TRMM calibrated (empirical quantile mapping conditioned) where the last four are a consequence of the application of 4 different calibration methods. A summary of the stations is shown in the following table: Station Id Station Name Longitude Latitude Start End % Missing Data Altitude NZ75400 Kolopelu (Wallis and Futuna) -178.12 -14.32 1998-01-01 2012-01-01 9.74 36 NZ82400 Alofi (Niue) -163.93 -19.07 1998-01-01* 2010-09-02 2.68 59 NZ84317 Rarotonga (Cook Islands) -159.8 -21.2 1999-09-28 2012-01-12 11.36 4 NZ99701 Raoul Island (New Zealand) -177.93 -29.23 1998-01-01* 2012-01-01 0.72 49 SP00646 Port Vila (Vanuatu) 168.3 -17.72 2000-01-26 2013-06-01 18.13 24 US14000 Aoloau (American Samoa) -170.77 -14.3 1998-01-01* 2019-12-31* 21.72 408 US14690 Nu'uuli (American Samoa) -170.70 -14.32 1998-01-01* 2019-12-31* 0.037 3
DOI: 10.6084/m9.figshare.19398188
title: Ironic error and overcompensation error under pressure

description: The conflicting predictions of the ironic process theory and the implicit overcompensation hypothesis has been presented as theories to explain the characteristics of errors that occur when a certain behavior is prohibited. The ironic process theory predicts that instructions that prohibit a particular behavior will increase the outcome which should be avoided itself (the ironic error). The implicit overcompensation hypothesis, however, predicts that the opposite of the outcome to be avoided (the overcompensation error) will increase. We examined how these two errors, which negatively affect performance, are influenced by pressure and a perceived sense of difficulty. As an experiment, 12 college tennis players were asked to perform a tennis stroke task in which they had to hit a ball launched from the opponent's court back toward a target zone. In doing so, we instructed them to avoid hitting toward the prohibited (ironic) zones and to return as many balls to the target zone as possible. They performed this task under low- and high-pressure conditions, using either their preferred or less-preferred hitting style based on their perceived difficulty. The results showed that pressure significantly increased the number of balls returned to the zone opposite the ironic zone (overcompensation errors). The perceived difficulty was also found to significantly increase errors around the ironic zone under low-pressure condition and around the overcompensation zone under high-pressure conditions. These results suggest that pressure increases the overcompensation errors that occur when a particular behavior is prohibited, while perceived difficulty increases the random errors caused by conscious processing.
DOI: 10.6084/m9.figshare.19398188.v2
title: Ironic error and overcompensation error under pressure

description: The conflicting predictions of the ironic process theory and the implicit overcompensation hypothesis has been presented as theories to explain the characteristics of errors that occur when a certain behavior is prohibited. The ironic process theory predicts that instructions that prohibit a particular behavior will increase the outcome which should be avoided itself (the ironic error). The implicit overcompensation hypothesis, however, predicts that the opposite of the outcome to be avoided (the overcompensation error) will increase. We examined how these two errors, which negatively affect performance, are influenced by pressure and a perceived sense of difficulty. As an experiment, 12 college tennis players were asked to perform a tennis stroke task in which they had to hit a ball launched from the opponent's court back toward a target zone. In doing so, we instructed them to avoid hitting toward the prohibited (ironic) zones and to return as many balls to the target zone as possible. They performed this task under low- and high-pressure conditions, using either their preferred or less-preferred hitting style based on their perceived difficulty. The results showed that pressure significantly increased the number of balls returned to the zone opposite the ironic zone (overcompensation errors). The perceived difficulty was also found to significantly increase errors around the ironic zone under low-pressure condition and around the overcompensation zone under high-pressure conditions. These results suggest that pressure increases the overcompensation errors that occur when a particular behavior is prohibited, while perceived difficulty increases the random errors caused by conscious processing.