cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d23k5
title: CCDC 2206566: Experimental Crystal Structure Determination

description: Related Article: Md Faizul Islam, Emely Adame-Ramirez, Eric R. Williams, Preecha Kittikhunnatham, Andrew Wijesekara, Siteng Zheng, Ting Ge, Morgan Stefik, Mark D. Smith, Perry J. Pellechia, Andrew B. Greytak, Linda S. Shimizu|2022|Macromolecules|55|11013|doi:10.1021/acs.macromol.2c02042
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.cc2dfgq1
title: CCDC 2217483: Experimental Crystal Structure Determination

description: Related Article: Fan Cao, Honghong Duan, Qingfang Li, Liping Cao|2022|Chem.Commun.|58|13389|doi:10.1039/D2CC05153B
description: Related Article: Fan Cao|2022|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: 10.34740/kaggle/dsv/5119052
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.22223977
title: Blastocystis: An overlooked member in gut microbiota

description: Raw data and R scripts for figures about the paper
DOI: 10.6084/m9.figshare.22223977.v1
title: Blastocystis: An overlooked member in gut microbiota

description: Raw data and R scripts for figures about the paper
DOI: 10.25582/data.2022-03.2449327/1931167
title: Data for EMSL Project 51216 from March 2022
DOI: 10.18141/1958724
title: ISGS Seal wells

description: Computed tomography and core logger data described in Technical Report "Computed Tomography Scanning and Geophysical Measurements of the CarbonSAFE Seal Integrity Wells in the Illinois Basin" by Paronish et al., 2023
DOI: 10.6084/m9.figshare.22224037
title: Samples for ccdc

description: All samples were assumed to be correct when they were detected by all four basic algorithms described above at a consistent time (±1 year). False samples were identified as samples for which the results of the algorithms were not consistent with the latest CCDC breakpoints. True and false samples numbering 3,850 and 3,189, respectively were used to train and test the RF for identifying CCDC breakpoints In the dataset, the code of “presence” presents the true and false change for the sample. 0 presents the false change, and 1 presents the true change. The code of year presents the year of true change.
DOI: 10.6084/m9.figshare.22224037.v1
title: Samples for ccdc

description: All samples were assumed to be correct when they were detected by all four basic algorithms described above at a consistent time (±1 year). False samples were identified as samples for which the results of the algorithms were not consistent with the latest CCDC breakpoints. True and false samples numbering 3,850 and 3,189, respectively were used to train and test the RF for identifying CCDC breakpoints In the dataset, the code of “presence” presents the true and false change for the sample. 0 presents the false change, and 1 presents the true change. The code of year presents the year of true change.
DOI: 10.18112/openneuro.ds004516.v1.0.0
title: Individual differences in neural event segmentation of continuous experiences
DOI: 10.6084/m9.figshare.22224034.v1
title: Raw data of LCA BSF

description: Raw data of the life cycle assessment
DOI: 10.5519/qd.swburwud
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (86 records)
DOI: 10.6084/m9.figshare.22224088
title: Datos_demograficos.csv

description: Socioeconomic data for the model input.
DOI: 10.6084/m9.figshare.22224094
title: CFE residential consumption

description: Residential consumption for Mexican municipalities for the period 2010-2017
DOI: 10.6084/m9.figshare.22224094.v1
title: CFE residential consumption

description: Residential consumption for Mexican municipalities for the period 2010-2017
DOI: 10.6084/m9.figshare.22224151
title: State-level Model Output

description: Output of the model trained at a state level.
DOI: 10.6084/m9.figshare.22224151.v1
title: State-level Model Output

description: Output of the model trained at a state level.
DOI: 10.6084/m9.figshare.22224139
title: RCP8.5-SSP5 model output

description: Model trained for the RCP8.5-SSP5 scenario.
DOI: 10.6084/m9.figshare.22224133
title: RCP4.5-SSP2 Model output

description: Model output for a RCP4.5-SSP2 scenario.
DOI: 10.6084/m9.figshare.22224112
title: Input data for the machine learning model

description: Climatic, Consumption, and socieconomic data for the current study period used as input for the machine learning model training.
DOI: 10.6084/m9.figshare.22224112.v1
title: Input data for the machine learning model

description: Climatic, Consumption, and socieconomic data for the current study period used as input for the machine learning model training.
DOI: 10.5281/zenodo.6906815
title: Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor mission to a dynamically new comet

description: This data-set contains all results from the Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor (CI) mission to a dynamically new comet. A full description of the model behind the data can be found in the peer-reviewed paper <strong>Marschall, Zakharov et al. (2022), https://doi.org/10.1051/0004-6361/202243648.</strong> Please cite this data-set and the paper when using the data. Contemporary numerical models of dusty-gas coma are used to obtain spatial distribution of dust for a given set of parameters. By varying parameters within a range of possible values we obtain an ensemble of possible dust distributions. Then, this ensemble is statistically evaluated in order to define the most probable cases and hence reduce the dispersion. This ensemble can be used to estimate not only the likely dust abundance along e.g. a fly-by trajectory of a spacecraft but also quantify the associated uncertainty. The dust environment assessment for the case when the target comet is not known beforehand (or when its parameters are known with large uncertainty) is critical for spacecraft safety and planning. The EDCM provides an assessment of dust environment for the CI mission.
DOI: 10.5281/zenodo.6906814
title: Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor mission to a dynamically new comet

description: This data-set contains all results from the Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor (CI) mission to a dynamically new comet. A full description of the model behind the data can be found in the peer-reviewed paper <strong>Marschall, Zakharov et al. (2022), https://doi.org/10.1051/0004-6361/202243648.</strong> Please cite this data-set and the paper when using the data. Contemporary numerical models of dusty-gas coma are used to obtain spatial distribution of dust for a given set of parameters. By varying parameters within a range of possible values we obtain an ensemble of possible dust distributions. Then, this ensemble is statistically evaluated in order to define the most probable cases and hence reduce the dispersion. This ensemble can be used to estimate not only the likely dust abundance along e.g. a fly-by trajectory of a spacecraft but also quantify the associated uncertainty. The dust environment assessment for the case when the target comet is not known beforehand (or when its parameters are known with large uncertainty) is critical for spacecraft safety and planning. The EDCM provides an assessment of dust environment for the CI mission.
DOI: 10.5281/zenodo.7700983
title: Dataset and code supporting Cornelis et al. 2023. Stuck in the weeds: Invasive grasses reduce tiger snake movement

description: Data and code used in the publication: Cornelis, J., Cooper, C. E., Lettoof, D. C., Mayer, M., Marshall, B. M. 2023 Stuck in the weeds: Invasive grasses reduce tiger snake movement. bioRxiv 2023.03.06.531246; doi: https://doi.org/10.1101/2023.03.06.531246 Includes telemetry data, aKDE, dBBMM, and Bayesian model specification and results, code to reproduce analysis and generate figures
DOI: 10.5281/zenodo.7700982
title: Dataset and code supporting Cornelis et al. 2023. Stuck in the weeds: Invasive grasses reduce tiger snake movement

description: Data and code used in the publication: Cornelis, J., Cooper, C. E., Lettoof, D. C., Mayer, M., Marshall, B. M. 2023 Stuck in the weeds: Invasive grasses reduce tiger snake movement. bioRxiv 2023.03.06.531246; doi: https://doi.org/10.1101/2023.03.06.531246 Includes telemetry data, aKDE, dBBMM, and Bayesian model specification and results, code to reproduce analysis and generate figures
DOI: 10.25901/xgdz-3k72
title: Warra Tall Eucalypt Site, Hydrology Of Small Catchments and Hydrological Effects of Forest Operations
DOI: 10.5517/ccdc.csd.cc2f6tt9
title: CCDC 2240891: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, A. Franken, N.J. Bullen|2023|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: 10.5517/ccdc.csd.cc2f7bpq
title: CCDC 2241383: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, U. Doerfler, N.J. Bullen|2023|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: 10.5517/ccdc.csd.cc2f7bqr
title: CCDC 2241384: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, U. Doerfler, N.J. Bullen|2023|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: 10.5517/ccdc.csd.cc2f8q4l
title: CCDC 2242699: Experimental Crystal Structure Determination

description: Related Article: L.D. Bass, J.H. Lee, M.C. Lilygren, A.C. Hartnett, B.M. Campbell, D.R. Morphet, D.K. Dogutan, S.-L. Zheng|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|231|doi:10.1107/S2056989023001457
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.cc2f9ht2
title: CCDC 2243464: Experimental Crystal Structure Determination

description: Related Article: E.W. Reinheimer, R.A. Tobias, E.R. Bassel, N.A. Cantu, B.W. Smucker|2023|IUCrData|8|x230155|doi:10.1107/S2414314623001554
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: 10.6084/m9.figshare.19330468
title: Creating predictive clothing size models for online customers

description: A disadvantage to online clothes shopping is the inability to try on clothing to test the fit. A class project is discussed where students consult with the CEO of an online mensware clothing company to explore ways in which an online clothing customer can be assured of a superior fit by developing statistical models based on a shopper’s height and weight to predict measurements needed to create a suit that feels custom-made. The dataset is most amenable to use with students who have previously been exposed to simple linear regression, and can be used to explore multiple regression topics such as interaction terms, influential points, transformations, and polynomial predictors. Discussion points are included for more advanced topics such as canonical correlation, clustering, and dimension reduction.
DOI: 10.6084/m9.figshare.19330468.v1
title: Creating predictive clothing size models for online customers

description: A disadvantage to online clothes shopping is the inability to try on clothing to test the fit. A class project is discussed where students consult with the CEO of an online mensware clothing company to explore ways in which an online clothing customer can be assured of a superior fit by developing statistical models based on a shopper’s height and weight to predict measurements needed to create a suit that feels custom-made. The dataset is most amenable to use with students who have previously been exposed to simple linear regression, and can be used to explore multiple regression topics such as interaction terms, influential points, transformations, and polynomial predictors. Discussion points are included for more advanced topics such as canonical correlation, clustering, and dimension reduction.
DOI: 10.26036/cnp0001931
title: Brown to White Adipose Tissue Transformation in newborn Goats

description: Goat perirenal fat obviously exists a transition from BAT to WAT from 1 day to 1 year in goat. To study this transformation, we performed transcriptomic analyses and single-nucleus RNA-sequencing analysis in goats to characterize adipocyte.
DOI: 10.6084/m9.figshare.21997814.v3
title: EDS Data.zip

description: <strong>EDS for areas #1~7 and mapping.rar</strong>
DOI: 10.6084/m9.figshare.22225237
title: Increased papillary microcirculation in inactive uveitis patients by Optical Coherence Tomography Angiography

description: Data presented by Excel，Word
DOI: 10.6084/m9.figshare.22225237.v1
title: Increased papillary microcirculation in inactive uveitis patients by Optical Coherence Tomography Angiography

description: Data presented by Excel，Word
DOI: 10.34740/kaggle/dsv/5119837
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.22225261
title: Supplementary Material for: Ras related protein Rab5a regulates complement C5a receptor trafficking, chemotaxis and chemokine secretion in human macrophages

description: Complement activation and Rab GTPase trafficking are commonly observed in inflammatory responses. Recruitment of innate immune cells to sites of infection or injury and secretion of inflammatory chemokines are promoted by complement component 5a (C5a) that activates the cell surface protein C5a receptor1 (C5aR1). Persistent activation can lead to a myriad of inflammatory and autoimmune diseases. Here we demonstrate that the mechanism of C5a induced chemotaxis of human monocyte-derived macrophages (HMDMs) and their secretion of inflammatory chemokines are controlled by Rab5a. We find that C5a activation of the G protein coupled receptor C5aR1 expressed on the surface of HMDMs, recruits β-arrestin2 via Rab5a trafficking, then activates downstream phosphatidylinositol 3-kinase (PI3K)/Akt signalling that culminates in chemotaxis and secretion of proinflammatory chemokines from HMDMs. High-resolution lattice light sheet microscopy on live cells showed that C5a activates C5aR1-GFP internalization and colocalization with Rab5a-tdTtomato, but not with dominant negative mutant Rab5a-S34N-tdTtomato in HEK293 cells. We found that Rab5a is significantly upregulated in differentiated HMDMs and internalization of C5aR1 is dependent on Rab5a. Interestingly, while knockdown of Rab5a inhibited C5aR1-mediated Akt phosphorylation, it did not affect C5aR1-mediated ERK1/2 phosphorylation or intracellular calcium mobilization in HMDMs. Functional analysis using transwell migration and µ-slide chemotaxis assays indicated that Rab5a regulates C5a-induced chemotaxis of HMDMs. Further, C5aR1 was found to mediate interaction of Rab5a with β-arrestin2 but not with G proteins in HMDMs. Furthermore, C5a-induced secretion of proinflammatory chemokines (CCL2, CCL3) from HMDMs was attenuated by Rab5a or β-arrestin2 knockdown, or by pharmacological inhibition with a C5aR1 antagonist or a PI3K inhibitor. These findings reveal a C5a-C5aR1-β-arrestin2-Rab5a-PI3K signalling pathway that regulates chemotaxis and proinflammatory chemokine secretion in HMDMs and suggest new ways of selectively modulating C5a-induced inflammatory outputs.
DOI: 10.6084/m9.figshare.22225261.v1
title: Supplementary Material for: Ras related protein Rab5a regulates complement C5a receptor trafficking, chemotaxis and chemokine secretion in human macrophages

description: Complement activation and Rab GTPase trafficking are commonly observed in inflammatory responses. Recruitment of innate immune cells to sites of infection or injury and secretion of inflammatory chemokines are promoted by complement component 5a (C5a) that activates the cell surface protein C5a receptor1 (C5aR1). Persistent activation can lead to a myriad of inflammatory and autoimmune diseases. Here we demonstrate that the mechanism of C5a induced chemotaxis of human monocyte-derived macrophages (HMDMs) and their secretion of inflammatory chemokines are controlled by Rab5a. We find that C5a activation of the G protein coupled receptor C5aR1 expressed on the surface of HMDMs, recruits β-arrestin2 via Rab5a trafficking, then activates downstream phosphatidylinositol 3-kinase (PI3K)/Akt signalling that culminates in chemotaxis and secretion of proinflammatory chemokines from HMDMs. High-resolution lattice light sheet microscopy on live cells showed that C5a activates C5aR1-GFP internalization and colocalization with Rab5a-tdTtomato, but not with dominant negative mutant Rab5a-S34N-tdTtomato in HEK293 cells. We found that Rab5a is significantly upregulated in differentiated HMDMs and internalization of C5aR1 is dependent on Rab5a. Interestingly, while knockdown of Rab5a inhibited C5aR1-mediated Akt phosphorylation, it did not affect C5aR1-mediated ERK1/2 phosphorylation or intracellular calcium mobilization in HMDMs. Functional analysis using transwell migration and µ-slide chemotaxis assays indicated that Rab5a regulates C5a-induced chemotaxis of HMDMs. Further, C5aR1 was found to mediate interaction of Rab5a with β-arrestin2 but not with G proteins in HMDMs. Furthermore, C5a-induced secretion of proinflammatory chemokines (CCL2, CCL3) from HMDMs was attenuated by Rab5a or β-arrestin2 knockdown, or by pharmacological inhibition with a C5aR1 antagonist or a PI3K inhibitor. These findings reveal a C5a-C5aR1-β-arrestin2-Rab5a-PI3K signalling pathway that regulates chemotaxis and proinflammatory chemokine secretion in HMDMs and suggest new ways of selectively modulating C5a-induced inflammatory outputs.
DOI: 10.5281/zenodo.7703643
title: SPIRIT Checklist & Model Consent for 'Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria and Other Comas by Optical Coherence Tomography (OCT in CM) – A protocol for an observational cohort study of Malawian children'

description: This dataset contains the SPIRIT checklist (adapted to a observational trial) and model consent forms for the OCT in CM study protocol. The protocol will be submitted as a paper to Wellcome Open Research.
DOI: 10.5281/zenodo.7703642
title: SPIRIT Checklist & Model Consent for 'Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria and Other Comas by Optical Coherence Tomography (OCT in CM) – A protocol for an observational cohort study of Malawian children'

description: This dataset contains the SPIRIT checklist (adapted to a observational trial) and model consent forms for the OCT in CM study protocol. The protocol will be submitted as a paper to Wellcome Open Research.
DOI: 10.6084/m9.figshare.20517959
title: An empirical study of the semantic similarity of geospatial prepositions and their senses

description: Spatial prepositions have been studied in some detail from multiple disciplinary perspectives. However, neither the semantic similarity of these prepositions, nor the relationships between the multiple senses of different spatial prepositions, are well understood. In an empirical study of 24 spatial prepositions, we identify the degree and nature of semantic similarity and extract senses for three semantically similar groups of prepositions using t-SNE, DBSCAN clustering, and Venn diagrams. We validate the work by manual annotation with another data set. We find nuances in meaning among proximity and adjacency prepositions, such as the use of <i>close to</i> instead of <i>near</i> for pairs of lines, and the importance of proximity over contact for the <i>next to</i> preposition, in contrast to other adjacency prepositions.
DOI: 10.6084/m9.figshare.20517959.v1
title: An empirical study of the semantic similarity of geospatial prepositions and their senses

description: Spatial prepositions have been studied in some detail from multiple disciplinary perspectives. However, neither the semantic similarity of these prepositions, nor the relationships between the multiple senses of different spatial prepositions, are well understood. In an empirical study of 24 spatial prepositions, we identify the degree and nature of semantic similarity and extract senses for three semantically similar groups of prepositions using t-SNE, DBSCAN clustering, and Venn diagrams. We validate the work by manual annotation with another data set. We find nuances in meaning among proximity and adjacency prepositions, such as the use of <i>close to</i> instead of <i>near</i> for pairs of lines, and the importance of proximity over contact for the <i>next to</i> preposition, in contrast to other adjacency prepositions.