cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17617/4.c6
title: Nanocarriers Made of Proteins: Intracellular Visualization of a Smart Biodegradable Drug Delivery System

description: Frey, M.-L., Han, S., Halim, H., Kaltbeitzel, A., Riedinger, A., Landfester, K., et al. (2022). Nanocarriers Made of Proteins: Intracellular Visualization of a Smart Biodegradable Drug Delivery System. Small, 18(15): 2106094. doi:10.1002/smll.202106094.
DOI: 10.5281/zenodo.7777962
title: LOTOS code inputs for local earthquake tomography of the Irazú-Turrialba volcanic complex, Costa Rica

description: Local earthquake seismic tomography model for Jiwani-Brown, E., Koulakov, I., Muñoz-Burbano, F., Pacheco, J., Mora, M., & Lupi, M. (2023). Comparing local and ambient seismic tomographic methods to infer the plumbing system of the Irazú-Turrialba volcanic complex, Costa Rica. The tomography model presented in the paper are obtained using the LOTOS code by Koulakov (2009). Input files for running of LOTOS code adapted for Windows OS. More details on the LOTOS code can be found atwww.ivan-art.com/science/LOTOS
DOI: 10.5281/zenodo.7777961
title: LOTOS code inputs for local earthquake tomography of the Irazú-Turrialba volcanic complex, Costa Rica

description: Local earthquake seismic tomography model for Jiwani-Brown, E., Koulakov, I., Muñoz-Burbano, F., Pacheco, J., Mora, M., & Lupi, M. (2023). Comparing local and ambient seismic tomographic methods to infer the plumbing system of the Irazú-Turrialba volcanic complex, Costa Rica. The tomography model presented in the paper are obtained using the LOTOS code by Koulakov (2009). Input files for running of LOTOS code adapted for Windows OS. More details on the LOTOS code can be found atwww.ivan-art.com/science/LOTOS
DOI: 10.5281/zenodo.7769804
title: Data for New cold-adapted bacteria for efficient hydrolysis of feather waste at low temperature paper

description: A novel cold-adapted bacteria <em>Arthrobacter oryzae</em> BIM B-1663 isolated from Antarctic green snow showed keratinase activity and efficient poultry feather degradation. <em>A. oryzae</em> strain degraded more than 80% of chicken feathers within 7 days of cultivation at 25°C. The optimal keratinase activity for <em>A. oryzae</em> BIM B-1663 was observed at 50°C, both for α-keratin (44.86 U/mL) and for β-keratin (94 mU/mL). The obtained results from sulfite and thiol groups tests and Fourier transform infrared spectroscopy (FTIR) showed that <em>A. oryzae</em> strain has a different keratin degradation mechanism than the reference strain <em>Bacillus</em> <em>licheniformis</em> CCM 2145<sup>T</sup>. FTIR fingerprinting can be used for monitoring of feather hydrolysis as it showed distinct chemical differences in feather meal hydrolysates, retentate and permeate from <em>A. oryzae</em> and <em>B.</em> <em>licheniformis</em> strains.
DOI: 10.5281/zenodo.7769805
title: Data for New cold-adapted bacteria for efficient hydrolysis of feather waste at low temperature paper

description: A novel cold-adapted bacteria <em>Arthrobacter oryzae</em> BIM B-1663 isolated from Antarctic green snow showed keratinase activity and efficient poultry feather degradation. <em>A. oryzae</em> strain degraded more than 80% of chicken feathers within 7 days of cultivation at 25°C. The optimal keratinase activity for <em>A. oryzae</em> BIM B-1663 was observed at 50°C, both for α-keratin (44.86 U/mL) and for β-keratin (94 mU/mL). The obtained results from sulfite and thiol groups tests and Fourier transform infrared spectroscopy (FTIR) showed that <em>A. oryzae</em> strain has a different keratin degradation mechanism than the reference strain <em>Bacillus</em> <em>licheniformis</em> CCM 2145<sup>T</sup>. FTIR fingerprinting can be used for monitoring of feather hydrolysis as it showed distinct chemical differences in feather meal hydrolysates, retentate and permeate from <em>A. oryzae</em> and <em>B.</em> <em>licheniformis</em> strains.
DOI: 10.48493/r9pa-me14
title: Zanadamu
DOI: 10.5445/ir/1000157217
title: Volatility of secondary organic aerosol from β-caryophyllene ozonolysis between 213-313 K

description: We investigated secondary organic aerosol (SOA) from β-caryophyllene oxidation generated over 213-313 K from ozonolysis. Positive matrix factorization (PMF) was used to deconvolute the desorption data (thermograms) of SOA products detected by a chemical ionization mass spectrometer (FIGAERO-CIMS). A non-monotonic dependence of particle volatility (saturation concentration at 298 K, C_298K^*) on formation temperature (213-313 K) was observed, primarily due to temperature-dependent formation pathways of β-caryophyllene oxidation products. The PMF analysis grouped detected ions into 11 compound groups (factors) with characteristic volatility. These compound groups act as indicators for the underlying SOA formation mechanisms. Their different temperature response revealed that the relevant chemical pathways (e.g., autoxidation, oligomer formation, and isomer formation) had distinct optimal temperatures between 213–313 K, significantly beyond the effect of temperature-dependent partitioning. Furthermore, PMF-resolved volatility groups were compared with volatility basis set (VBS) distributions based on different vapor pressure estimation methods. The variation of the volatilities predicted by different methods is affected by highly oxidation oxygenated molecules, isomers and thermal decomposition of oligomers with long carbon chains. This work distinguishes multiple isomers and identifies compound groups of varying volatility, providing new insights into the temperature-dependent formation mechanisms of β-caryophyllene-derived SOA particles.
DOI: 10.20363/zfmk-coll.oberthuer-20123-02
title: ZFMK Coleoptera Oberthuer Collection

description: The Oberthuer collection at the Leibniz Institut for the Analysis of Biodiversity Change - Museum Koenig Bonn.
DOI: 10.6084/m9.figshare.22347817
title: Ocean acidification has a strong effect on communities living on plastic in mesocosms

description: We conducted a mesocosm experiment to examine how ocean acidification (OA) affects communities of prokaryotes and eukaryotes growing on single-use drinking bottles in subtropical eutrophic waters of the East China Sea. Based on 16S rDNA gene sequencing, simulated high CO2 significantly altered the prokaryotic community, with the relative abundance of the phylum Planctomycetota increasing by 49 % under high CO2. Under high CO2, prokaryotes in plastisphere significantly enhanced nitrogen dissimilation and ureolysis, raising the possibility that elevated CO2 may modify nutrient cycling in subtropical eutrophic waters. The relative abundance of pathogenic and animal parasite bacteria also increased under simulated high CO2. Our results show that simulated high CO2 significantly affected some secondary producers based on 18S rDNA gene sequencing. For example, Mayorella amoebae were highly resistant to OA whereas labyrinthulids were sensitive to high CO2. This shows that OA may alter plastisphere food chains in subtropical eutrophic waters.
DOI: 10.6084/m9.figshare.22347817.v1
title: Ocean acidification has a strong effect on communities living on plastic in mesocosms

description: We conducted a mesocosm experiment to examine how ocean acidification (OA) affects communities of prokaryotes and eukaryotes growing on single-use drinking bottles in subtropical eutrophic waters of the East China Sea. Based on 16S rDNA gene sequencing, simulated high CO2 significantly altered the prokaryotic community, with the relative abundance of the phylum Planctomycetota increasing by 49 % under high CO2. Under high CO2, prokaryotes in plastisphere significantly enhanced nitrogen dissimilation and ureolysis, raising the possibility that elevated CO2 may modify nutrient cycling in subtropical eutrophic waters. The relative abundance of pathogenic and animal parasite bacteria also increased under simulated high CO2. Our results show that simulated high CO2 significantly affected some secondary producers based on 18S rDNA gene sequencing. For example, Mayorella amoebae were highly resistant to OA whereas labyrinthulids were sensitive to high CO2. This shows that OA may alter plastisphere food chains in subtropical eutrophic waters.
DOI: 10.25375/uct.22308925
title: Characterisation of dust-sized coal particulates: Major element analysis using X-ray Fluorescence (XRF)

description: This dataset comprises the measured major oxide chemistry assayed using XRF as well as the conversion of the oxide chemistry to its elemental distribution.
DOI: 10.34740/kaggle/dsv/5255339
title: 2021 World Population (updated daily)
DOI: 10.15159/phytop.112
title: Lake Peipsi 2021 (Phytoplankton samples)

description: Method: Phytoplankton samples were preserved in Lugol’s (acidified iodine) solution and counted under an inverted microscope (Utermöhl, 1958). 3-10 ml of preserved sample was settled overnight and counted in random fields or transects. Biovolumes of algal cells, colonies and/or filaments were calculated using assigned geometric shapes dimensions, and converted to biomass assuming the specific density of 1 g cm-3 in accordance with Edler (1979). Approved by CEN on 14 July 2006 “Water quality - Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)” (CEN 15204, 2006) European Standard EN 15204:2006 Utermöhl, H., 1958. Zur Vervollkommnung der quantitativen Phytoplankton-Methodik. Mitteilungen der Internationale Vereinigung für Theoretische und Angewandte Limnologie 9, 1- 38. Edler, L. (ed.), 1979. Recommendations on methods for marine biological studies in the Baltic Sea. Phytoplankton and chlorophyll. Baltic Marine Biologists WG 9. Leg: K. Blank, K. Palmik-Das, L. Tuvikene, A. Tuvikene; det: K. Maileht.
DOI: 10.34740/kaggle/dsv/5255382
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.7748947
title: Lithium-Ion Batteries in Automated Guided Vehicles (AGVs) dataset for article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"

description: Dataset of aggregated information related to discharge-only cycles of lithium-ion battery packs employed in Automated Guided Vehicle systems. The dataset supports the study in conference article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"
description: Work funded under the Important Project of Common European Interest (IPCEI) on Batteries, decision C(2019) 8823 IPCEI Batterie 1, CUP: B52C22000060008, COR: 8355979. The authors thank Flash Battery for the dataset.
DOI: 10.5281/zenodo.7323541
title: Lithium-Ion Batteries in Automated Guided Vehicles (AGVs) dataset for article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"

description: Dataset of aggregated information related to discharge-only cycles of lithium-ion battery packs employed in Automated Guided Vehicle systems. The dataset supports the study in conference article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"
description: Work funded under the Important Project of Common European Interest (IPCEI) on Batteries, decision C(2019) 8823 IPCEI Batterie 1, CUP: B52C22000060008, COR: 8355979. The authors thank Flash Battery for the dataset.
DOI: 10.20363/zfmk-coll.acari-2018-11
title: ZFMK Acari collection

description: The collection of Acari at the Zoological Research Museum Alexander Koenig Bonn
DOI: 10.15159/phytop.113
title: Lake Peipsi 2022 (Phytoplankton samples)

description: Method: Phytoplankton samples were preserved in Lugol’s (acidified iodine) solution and counted under an inverted microscope (Utermöhl, 1958). 3-10 ml of preserved sample was settled overnight and counted in random fields or transects. Biovolumes of algal cells, colonies and/or filaments were calculated using assigned geometric shapes dimensions, and converted to biomass assuming the specific density of 1 g cm-3 in accordance with Edler (1979). Approved by CEN on 14 July 2006 “Water quality - Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)” (CEN 15204, 2006) European Standard EN 15204:2006 Utermöhl, H., 1958. Zur Vervollkommnung der quantitativen Phytoplankton-Methodik. Mitteilungen der Internationale Vereinigung für Theoretische und Angewandte Limnologie 9, 1- 38. Edler, L. (ed.), 1979. Recommendations on methods for marine biological studies in the Baltic Sea. Phytoplankton and chlorophyll. Baltic Marine Biologists WG 9. Leg: K. Blank, K. Palmik-Das, L. Tuvikene, A. Tuvikene; det: K. Maileht.
DOI: 10.57841/casdc.0000085
title: 测试数据
DOI: 10.20363/zfmk-coll.acari-2023-02
title: ZFMK Acari collection

description: The collection of Acari at the Leibniz Institute for the Analysis of Biodiversity Change - Museum Koenig Bonn
DOI: 10.57841/casdc.0000086
title: 测试数据
DOI: 10.5517/ccdc.csd.cc1nlgzp
title: CCDC 1537103: Experimental Crystal Structure Determination

description: Related Article: Jun-Sheng Wei, Song Yang, Yin Wei, Sima Shamsaddinimotlagh, Hossein Tavakol, Min Shi|2023|Org.Chem.Front.|10|1738|doi:10.1039/D3QO00085K
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.cc1q6j5m
title: CCDC 1585190: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Artem'ev, Evgeniya P. Doronina, Mariana I. Rakhmanova, Xiuze Hei, Dmitri V. Stass, Ol'ga A. Tarasova, Irina Yu. Bagryanskaya, Denis G. Samsonenko, Alexander S. Novikov, Nina A. Nedolya, Jing Li|2023|Dalton Trans.|52|4017|doi:10.1039/D3DT00035D
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.cc1q6j6n
title: CCDC 1585191: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Artem'ev, Evgeniya P. Doronina, Mariana I. Rakhmanova, Xiuze Hei, Dmitri V. Stass, Ol'ga A. Tarasova, Irina Yu. Bagryanskaya, Denis G. Samsonenko, Alexander S. Novikov, Nina A. Nedolya, Jing Li|2023|Dalton Trans.|52|4017|doi:10.1039/D3DT00035D
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.cc1q6j7p
title: CCDC 1585192: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Artem'ev, Evgeniya P. Doronina, Mariana I. Rakhmanova, Xiuze Hei, Dmitri V. Stass, Ol'ga A. Tarasova, Irina Yu. Bagryanskaya, Denis G. Samsonenko, Alexander S. Novikov, Nina A. Nedolya, Jing Li|2023|Dalton Trans.|52|4017|doi:10.1039/D3DT00035D
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.cc1q6vzr
title: CCDC 1585525: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Artem'ev, Evgeniya P. Doronina, Mariana I. Rakhmanova, Xiuze Hei, Dmitri V. Stass, Ol'ga A. Tarasova, Irina Yu. Bagryanskaya, Denis G. Samsonenko, Alexander S. Novikov, Nina A. Nedolya, Jing Li|2023|Dalton Trans.|52|4017|doi:10.1039/D3DT00035D
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.cc1q6w0t
title: CCDC 1585526: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Artem'ev, Evgeniya P. Doronina, Mariana I. Rakhmanova, Xiuze Hei, Dmitri V. Stass, Ol'ga A. Tarasova, Irina Yu. Bagryanskaya, Denis G. Samsonenko, Alexander S. Novikov, Nina A. Nedolya, Jing Li|2023|Dalton Trans.|52|4017|doi:10.1039/D3DT00035D
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.cc1q6w1v
title: CCDC 1585527: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Artem'ev, Evgeniya P. Doronina, Mariana I. Rakhmanova, Xiuze Hei, Dmitri V. Stass, Ol'ga A. Tarasova, Irina Yu. Bagryanskaya, Denis G. Samsonenko, Alexander S. Novikov, Nina A. Nedolya, Jing Li|2023|Dalton Trans.|52|4017|doi:10.1039/D3DT00035D
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.cc1q6w3x
title: CCDC 1585529: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Artem'ev, Evgeniya P. Doronina, Mariana I. Rakhmanova, Xiuze Hei, Dmitri V. Stass, Ol'ga A. Tarasova, Irina Yu. Bagryanskaya, Denis G. Samsonenko, Alexander S. Novikov, Nina A. Nedolya, Jing Li|2023|Dalton Trans.|52|4017|doi:10.1039/D3DT00035D
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.cc1q6w4y
title: CCDC 1585530: Experimental Crystal Structure Determination

description: Related Article: Alexander V. Artem'ev, Evgeniya P. Doronina, Mariana I. Rakhmanova, Xiuze Hei, Dmitri V. Stass, Ol'ga A. Tarasova, Irina Yu. Bagryanskaya, Denis G. Samsonenko, Alexander S. Novikov, Nina A. Nedolya, Jing Li|2023|Dalton Trans.|52|4017|doi:10.1039/D3DT00035D
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.cc2400ck
title: CCDC 1966217: Experimental Crystal Structure Determination

description: Related Article: Aymen Skhiri, Attila Taborosi, Nozomi Ohara, Yusuke Ano, Seiji Mori, Naoto Chatani|2023|Org.Chem.Front.|10|1617|doi:10.1039/D3QO00023K
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.cc273x09
title: CCDC 2059330: Experimental Crystal Structure Determination

description: Related Article: Maksym Dekhtiarenko, György Szalóki, Vincent Croué, Jennifer Bou Zeid, David Canevet, Magali Allain, Vincent Carré, Frédéric Aubriet, Zoia Voitenko, Marc Sallé, Sébastien Goeb|2023|Org.Chem.Front.|10|1803|doi:10.1039/D3QO00214D
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.cc27drgw
title: CCDC 2067838: Experimental Crystal Structure Determination

description: Related Article: Hui-Xin Duan, Hao-Nan Li, Yong Yang, Xiao-Jun Wu, You-Qing Wang|2023|Dalton Trans.|52|4077|doi:10.1039/D3DT00129F
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.cc28l579
title: CCDC 2102830: Experimental Crystal Structure Determination

description: Related Article: Shuai Jiang, Yu-Xin Huang, Xiao-Feng Wang, Xiao-Ping Xu, Shun-Jun Ji|2023|Org.Chem.Front.|10|1660|doi:10.1039/D2QO01992B
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.cc294fpl
title: CCDC 2119429: Experimental Crystal Structure Determination

description: Related Article: Tania Hidalgo, David Fabra, Raul Allende, Ana I. Matesanz, Patricia Horcajada, Tarita Biver, Adoracion G. Quiroga|2023|Inorg.Chem.Front.|10|1986|doi:10.1039/D2QI02424A
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: 10.34740/kaggle/dsv/5255489
title: YouTube Trending Video Dataset (updated daily)