cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8180669.v1
title: A tension-independent mechanism reduces Aurora B-mediated phosphorylation upon microtubule capture by CENP-E at the kinetochore

description: During mitosis, Aurora B kinase is required for forming proper bi-oriented kinetochore-microtubule attachments. Current models suggest that tension exerted between a pair of sister-kinetochores (inter-kinetochore stretch) produces a spatial separation of Aurora B kinase from kinetochore-associated microtubule binding substrates, such as the Knl1-Mis12-Ndc80 (KMN) network, resulting in a decrease of phosphorylation and, thus, an increase of affinity for microtubules. Using Single-Molecule High-Resolution Colocalization (SHREC) microscopy analysis of the kinetochore-associated motor CENP-E, we now show that CENP-E undergoes structural rearrangements prior to and after tension generation at the kinetochore, and displays a bi-modal Gaussian distribution on a pair of bi-oriented sister kinetochores. The conformational change of CENP-E depends on its microtubule-stimulated motor motility and the highly flexible coiled-coil between its motor and kinetochore-binding tail domains. Chemical inhibition of the motor motility or perturbations of the coiled-coil domain of CENP-E increases Aurora B-mediated Ndc80 phosphorylation in a tension-independent manner. Metaphase chromosome misalignment caused by CENP-E inhibition can be rescued by chemical inhibition of Aurora B kinase. Furthermore, a pair of monotelic sister-kinetochores shows asymmetric levels of Aurora B-mediated phosphorylation in mono-polar spindles depending on CENP-E motor activity. These results collectively suggest a tension-independent mechanism to reduce Aurora B-mediated phosphorylation of outer kinetochore components in response to microtubule capture by CENP-E.
DOI: 10.6084/m9.figshare.8180669
title: A tension-independent mechanism reduces Aurora B-mediated phosphorylation upon microtubule capture by CENP-E at the kinetochore

description: During mitosis, Aurora B kinase is required for forming proper bi-oriented kinetochore-microtubule attachments. Current models suggest that tension exerted between a pair of sister-kinetochores (inter-kinetochore stretch) produces a spatial separation of Aurora B kinase from kinetochore-associated microtubule binding substrates, such as the Knl1-Mis12-Ndc80 (KMN) network, resulting in a decrease of phosphorylation and, thus, an increase of affinity for microtubules. Using Single-Molecule High-Resolution Colocalization (SHREC) microscopy analysis of the kinetochore-associated motor CENP-E, we now show that CENP-E undergoes structural rearrangements prior to and after tension generation at the kinetochore, and displays a bi-modal Gaussian distribution on a pair of bi-oriented sister kinetochores. The conformational change of CENP-E depends on its microtubule-stimulated motor motility and the highly flexible coiled-coil between its motor and kinetochore-binding tail domains. Chemical inhibition of the motor motility or perturbations of the coiled-coil domain of CENP-E increases Aurora B-mediated Ndc80 phosphorylation in a tension-independent manner. Metaphase chromosome misalignment caused by CENP-E inhibition can be rescued by chemical inhibition of Aurora B kinase. Furthermore, a pair of monotelic sister-kinetochores shows asymmetric levels of Aurora B-mediated phosphorylation in mono-polar spindles depending on CENP-E motor activity. These results collectively suggest a tension-independent mechanism to reduce Aurora B-mediated phosphorylation of outer kinetochore components in response to microtubule capture by CENP-E.
DOI: 10.26180/19210632.v1
title: Data for "Correlation-induced magnetism in substrate-supported 2D metal-organic frameworks"

description: Data and scripts used to produce the figures and results in "Correlation-induced magnetism in substraye-supported 2D metal-organic frameworks".Further details are contained in the README.txt file within the zip folder.The provided Python code is shared under a GNU GPL license (details within).
DOI: 10.15151/esrf-es-925654408
title: Universities of St. Andrews, Dundee, Glasgow, and Aberdeen

description: The Dundee/St Andrews/Glasgow/Aberdeen BAG research interests fall into two broad areas. Firstly, we use structural information to understand mechanisms of fundamental biological processes, protein engineering, enzymes, and biological chemistry. Secondly, we utilize structural insights to guide target selection and development of lead compounds for drug development. Fundamental insights obtained into biological processes are often closely coupled to target identification and development of tools, reagents, or inhibitors, which feed into a range of biomedical applications. Our research relies heavily on high quality, reliable and tunable synchrotron radiation, along with state-of-the-art optics, detectors, sample changers, and computation, to support determination of new structures, as well as collect high resolution diffraction data to provide the level of accuracy important in structure-guided drug design.
DOI: 10.21227/rye4-kq51
title: Inria Aerial Image Labeling Dataset

description: Building segmentation image data set
DOI: 10.22002/d1.1179
title: Raman spectroscopy dataset on Mn-Fe-Ni-Cu-Co-Zn oxides

description: Raman spectra (Renishaw Inline) for a series of compositions synthesized by inkjet printing with intended compositions including all 1,2,3 and 4 cation combinations of Mn-Fe-Ni-Cu-Co-Zn with 10%  intervals in each composition dimension. File format consistent with that described at udiscover.it
DOI: 10.6084/m9.figshare.21280152.v3
title: Raw Data

description: the data contains raw data as values of depth of sealer penetration into the dentinal tubules measured by an in built ruler in mm in Confocal Laser Scanning Microscopy. <br> The data contains an image of coronal, middle and apical third sections of the root specimen.
DOI: 10.6084/m9.figshare.21521160
title: TableS1-S10, Figure S1-S6, and Supplementary text for detrital zircons from northern Gondwana (20221109)

description: <strong>Supplementary Text</strong> <strong>S1: </strong>Detailed sample descriptions, analytical methods, and results. <strong>Table S1: </strong>U-Pb dating and REE data of detrital zircons from the Gangdese Mountains, southern Tibet. <strong>Table S2: </strong>U-Pb dating and REE data of detrital zircons from Earth’s major rivers. <strong>Table S3: </strong>Summary of detrital zircon data compiled for the comparison of the Lhasa terrane and its potential origins in Gondwana. <strong>Table S4: </strong>Summary of age, geochemical, and isotopic data of typical Precambrian to Early Paleozoic magmatic rocks in the Lhasa terrane. <strong>Table S5: </strong>U-Pb dating, Hf-isotope, and REE data of detrital zircons from the Lhasa terrane. <strong>Table S6: </strong>U-Pb dating and Hf-isotope data of zircons from typical Precambrian to Early Paleozoic magmatic rocks in the Lhasa terrane. <strong>Table S7: </strong>U-Pb dating, Hf-isotope, and REE data of detrital zircons from Africa. <strong>Table S8: </strong>U-Pb dating, Hf-isotope, and REE data of detrital zircons from India. <strong>Table S9: </strong>U-Pb dating, Hf-isotope, and REE data of detrital zircons from Australia. <strong>Table S10: </strong>U-Pb age, Hf-isotope, and REE analysis results of standard zircons. <strong>Figure S1:</strong> Plots of REE vs. U-Pb ages, age distribution histograms, and plots of REE averages for the detrital zircons from the Earth’s major rivers (A and B) and Gangdese Mountains (C and D). <strong>Figure S2:</strong> Photographs and photomicrographs of the Precambrian to early Paleozoic sedimentary rocks and granitic intrusions in the Lhasa terrane. <strong>Figure S3:</strong> Concordia plots and typical cathodoluminescence images of zircons from the magmatic rock samples analyzed in this study. <strong>Figure S4:</strong> Concordia plots and typical cathodoluminescence images of detrital zircons from the samples analyzed in this study. <strong>Figure S5:</strong> Plots of LREE/HREE vs. U-Pb ages, age distribution histograms, and plots of LREE/HREE averages for the detrital zircons from the Lhasa terrane and its potential origins in Gondwana. <strong>Figure S6:</strong> Plots of Eu/Eu* vs. U-Pb ages, age distribution histograms, and plots of Eu/Eu* averages for the detrital zircons from the Lhasa terrane and its potential origins in Gondwana.
DOI: 10.34740/kaggle/dsv/4450122
title: Synthetic dataset of fiber speckles - Augmented
DOI: 10.34740/kaggle/dsv/3583524
title: Synthetic dataset of fiber speckle images
DOI: 10.6084/m9.figshare.21521196
title: Hypergall counts and Aciurina sizes

description: Counts of invidual hypergalls on the surface of Aciurina galls and the dimensions of wings of emerged Aciurina.
DOI: 10.6084/m9.figshare.21521196.v1
title: Hypergall counts and Aciurina sizes

description: Counts of invidual hypergalls on the surface of Aciurina galls and the dimensions of wings of emerged Aciurina.
DOI: 10.6084/m9.figshare.21521208
title: All Aciurina emergences per gall 2021-2022

description: Species counts from each gall reared in 2021 and 2022, aggregated by gall individual
DOI: 10.6084/m9.figshare.21521208.v1
title: All Aciurina emergences per gall 2021-2022

description: Species counts from each gall reared in 2021 and 2022, aggregated by gall individual
DOI: 10.6084/m9.figshare.21521199.v1
title: Improved GPS velocity data with median spatial filtering applied

description: The improved GPS velocity data with median spatial filtering applied in North China, contains 210 corrected GPS velocities with respect to the stable Eurasian plate reference frame. Ve_E & Vn_E represent the east and north velocity components under Eurasian plate. dVe & dVn indicate the east and north velocitiy uncertainties (standard deviation). Cen is the east and north velocity correlation.
DOI: 10.5517/ccdc.csd.cc260gpd
title: CCDC 2026243: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Shivali Hans, Kamal, Shivnath Mazumder, Subhas Samanta|2022|Inorg.Chem.|61|17777|doi:10.1021/acs.inorgchem.2c03087
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.cc28kgr2
title: CCDC 2102164: Experimental Crystal Structure Determination

description: Related Article: Jinsong Li, Zhiyuan Jin, Bo Jin, Liqiong Luo, Rufang Peng|2022|Inorg.Chem.|61|17485|doi:10.1021/acs.inorgchem.2c02384
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.cc28sl1q
title: CCDC 2108993: Experimental Crystal Structure Determination

description: Related Article: Jinsong Li, Zhiyuan Jin, Bo Jin, Liqiong Luo, Rufang Peng|2022|Inorg.Chem.|61|17485|doi:10.1021/acs.inorgchem.2c02384
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.7306088
title: Source data for "Fast multi-source nanophotonic simulations using augmented partial factorization"

description: Source data for Fig. 3b-c and Fig. 5a-b
DOI: 10.6084/m9.figshare.21521199.v2
title: Improved GPS velocity data with median spatial filtering applied

description: The improved GPS velocity data with median spatial filtering applied in North China, contains 210 corrected GPS velocities with respect to the stable Eurasian plate reference frame. Ve_E & Vn_E represent the east and north velocity components under Eurasian plate. dVe & dVn indicate the east and north velocitiy uncertainties (standard deviation). Cen is the east and north velocity correlation.
DOI: 10.6084/m9.figshare.21521235
title: Dataset to accompany telephone telepathy manuscript

description: Dataset to accompany manuscript. Sheet A includes anonymized data. Sheet B is the variable legend.
DOI: 10.6084/m9.figshare.21521235.v1
title: Dataset to accompany telephone telepathy manuscript

description: Dataset to accompany manuscript. Sheet A includes anonymized data. Sheet B is the variable legend.
DOI: 10.6084/m9.figshare.21521244.v1
title: A spatiotemporally constrained inventory of global glacial lakes

description: Climate change accelerates the extensive retreat and downwasting of glaciers, leading to the widespread formations and rapid growths of glacial lakes worldwide. Spatial distribution information on glacial lakes is crucial for evidencing the climate change impacts and warning about the hazards of glacial lake outbursts. The existing glacial lake inventories are mostly region or basin specific. Therefore, there is therefore a pressing need to obtain a spatially and temporally constrained dataset of global glacial lakes. Based on a semi-automated approach, this study inventories 117,352 glacial lakes (≥0.01 km2) worldwide, with a net area of 24,755.84 ± 2,971.33 km2. The evaluation result shows that the global glacial lake data have an average overall accuracy of 89.37% and 91.42% in number and area, respectively. The global glacial lakes are widely distributed in different altitudes, ranging from the Earth’s third pole to the coastal zones. Most glacial lakes are distributed in Greenland, High-Mountain Asia (HMA), Alaska, western and northern Canada, and the cordilleras. The number and total area of glacial lakes located at the altitude below 1000 m account for 59.35% and 82.84%, respectively, whereas the lakes spanning more than 3000 m are dominantly observed in HMA. The number of glacial lakes between 0.01–0.1 km2 accounts for 77.24% of the total count but only 11.82% of the total area. The classification of glacial lakes as four groups (non–glacier-fed, ice-uncontacted proglacial, ice-contacted proglacial, and supraglacial lakes) indicates that the ice-uncontacted proglacial lakes dominate the number (67.07%) and area (53.04%) worldwide. This dataset is expected to advance the monitoring of glacial lake expansions and the assessment of glacial hazard risk.
DOI: 10.34740/kaggle/dsv/4473226
title: OntoUML/UFO Catalog
DOI: 10.34740/kaggle/dsv/4473235
title: BBC News
DOI: 10.25442/hku.21080821
title: HKU956: Dataset in "Detecting Music-Induced Emotion Based on Acoustic Analysis and Physiological Sensing: A Multimodal Approach"

description: Introduction HKU956 is a multimodal dataset for analyzing listeners’ emotions and physiological responses induced by music. Five kinds of peripheral physiological signals (i.e., heart rate, electrodermal activity, blood volume pulse, inter-beat interval, and skin temperature) of 30 participants (18 females) were recorded as they listened to music within a period of 40 minutes. Each participant listened to 10 or more songs, and their physiological signals were aligned with the 956 listening records. Participants reported their emotions induced by each song in the arousal and valence dimensions in a scale of [-10, 10]. In addition, participants' personality traits were measured by the Ten Item Personality Measure (TIPI). The raw score in each of the five personality dimensions were presented, together with “high” or “low” categories derived from the TIPI norms provided by Gosling (https://gosling.psy.utexas.edu/scales-weve-developed/ten-item-personality-measure-tipi/). Last but not least, the original audio files of a total of 592 unique music pieces were presented in this dataset. These audio files were originally obtained from Jamando.com with CC-BY Licenses. <br> Update ├─14.09.2022(GMT+8) - First online date ├─31.10.2022(GMT+8) - Posted date └─07.11.2022(GMT+8) - (1) Add the "play_duration" (i.e., Length of time a user plays a song) column into the file "3. AV_ratings.csv"; (2) Fill the missing value of the "valence_rating" column for the record with participant_id=hku1929, song_no=7, song_id=1119024 in the file "3. AV_ratings.csv" <strong>Please cite the following paper when using this dataset</strong> Hu, X.; Li, F.; Liu, R. Detecting Music-Induced Emotion Based on Acoustic Analysis and Physiological Sensing: A Multimodal Approach. Applied Science. 2022, 12, 9354. https://doi.org/10.3390/app12189354 (free text available through Open Access)
DOI: 10.25442/hku.21080821.v3
title: HKU956: Dataset in "Detecting Music-Induced Emotion Based on Acoustic Analysis and Physiological Sensing: A Multimodal Approach"

description: Introduction HKU956 is a multimodal dataset for analyzing listeners’ emotions and physiological responses induced by music. Five kinds of peripheral physiological signals (i.e., heart rate, electrodermal activity, blood volume pulse, inter-beat interval, and skin temperature) of 30 participants (18 females) were recorded as they listened to music within a period of 40 minutes. Each participant listened to 10 or more songs, and their physiological signals were aligned with the 956 listening records. Participants reported their emotions induced by each song in the arousal and valence dimensions in a scale of [-10, 10]. In addition, participants' personality traits were measured by the Ten Item Personality Measure (TIPI). The raw score in each of the five personality dimensions were presented, together with “high” or “low” categories derived from the TIPI norms provided by Gosling (https://gosling.psy.utexas.edu/scales-weve-developed/ten-item-personality-measure-tipi/). Last but not least, the original audio files of a total of 592 unique music pieces were presented in this dataset. These audio files were originally obtained from Jamando.com with CC-BY Licenses. <br> <strong>Please cite the following paper when using this dataset</strong> Hu, X.; Li, F.; Liu, R. Detecting Music-Induced Emotion Based on Acoustic Analysis and Physiological Sensing: A Multimodal Approach. Applied Science. 2022, 12, 9354. https://doi.org/10.3390/app12189354 (free text available through Open Access)
DOI: 10.6084/m9.figshare.21521214
title: Data 1.xlsx

description: Anatomical characteristics and mechanical properties of three bamboo species (<em>Bambusa vulgaris</em>, <em>B. maculata</em>, and <em>Gigantocloa atter</em>) in Indonesia.
DOI: 10.6084/m9.figshare.21521214.v1
title: Data 1.xlsx

description: Anatomical characteristics and mechanical properties of three bamboo species (<em>Bambusa vulgaris</em>, <em>B. maculata</em>, and <em>Gigantocloa atter</em>) in Indonesia.
DOI: 10.3886/e116053v1-130471
title: Replication data for: House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle

description: I develop and estimate a monetary business cycle model with nominal loans and collateral constraints tied to housing values. Demand shocks move housing and nominal prices in the same direction, and are amplified and propagated over time. The financial accelerator is not uniform: nominal debt dampens supply shocks, stabilizing the economy under interest rate control. Structural estimation supports two key model features: collateral effects dramatically improve the response of aggregate demand to housing price shocks; and nominal debt improves the sluggish response of output to inflation surprises. Finally, policy evaluation considers the role of house prices and debt indexation in affecting monetary policy trade-offs.
DOI: 10.1285/i15900932v42n1p1
title: On the equivalence between moderate growth-type conditions in the weight matrix setting

description: We study the generalizations of the known equivalent reformulations of condition moderate growth from the single weight sequence to the weight matrix setting. This condition, also known in the literature under the name stability under ultradifferentiable operators, plays a significant role in the theory of ultradifferentiable (and ultraholomorophic) function classes defined in terms of weight sequences and its generalization becomes relevant when dealing with classes defined by weight matrices. In the matrix setting, we prove that the different mixed conditions are in general not equivalently satisfied anymore and we focus on weight matrices associated with (associated) weight functions.
DOI: 10.6084/m9.figshare.21521340.v1
title: The occurrence records of M. micrantha from field surveys, literature surveys and GBIF

description: The occurrence records of M. micrantha from field surveys, literature surveys and GBIF
DOI: 10.5517/ccdc.csd.cc26l4rq
title: CCDC 2043233: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Shivali Hans, Kamal, Shivnath Mazumder, Subhas Samanta|2022|Inorg.Chem.|61|17777|doi:10.1021/acs.inorgchem.2c03087
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.cc29jq6s
title: CCDC 2131225: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Shivali Hans, Kamal, Shivnath Mazumder, Subhas Samanta|2022|Inorg.Chem.|61|17777|doi:10.1021/acs.inorgchem.2c03087
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.cc29jq7t
title: CCDC 2131226: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Shivali Hans, Kamal, Shivnath Mazumder, Subhas Samanta|2022|Inorg.Chem.|61|17777|doi:10.1021/acs.inorgchem.2c03087
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.cc2bd3tp
title: CCDC 2156602: Experimental Crystal Structure Determination

description: Related Article: Bo Zhang, Wensheng Zhang, Jiaoli Wang, Qiuan Wang, Nobuaki Kambe, Renhua Qiu|2022|Org.Lett.|24|7918|doi:10.1021/acs.orglett.2c02937
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.