cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nf5gw7vjnh.1
title: Continuum solutions to the two–center Coulomb problem in prolate spheroidal coordinates

description: We present a computational and theoretical framework for solving the Schrödinger equation (SE) for the two–center Coulomb problem in prolate spheroidal coordinates when the energy of the SE is positive. A general and robust computer code has been produced that calculates the separation constants, spheroidal harmonic expansion coefficients, regular quasi–radial two–center Coulomb wave functions, and two–center Coulomb phase shifts. These quantities can be calculated over a range of internuclear separations, angular momentum projections, and continuum electron momenta. A representative set of results are presented and compared with previous calculations, excellent agreement is found in many cases while significant disagreements are found in others.
DOI: 10.5281/zenodo.7805000
title: Protocol for a systematic review: association between airborne pollen, intermittent allergic rhinitis and blood pressure

description: Previous epidemiological studies have found an increased risk of cardiovascular morbidity and mortality following days with heightened pollen exposure and suggested that intermittent allergic rhinitis might be associated with blood pressure. Pollen sensitization and subsequent pollen exposure cause local inflammation and cytokine release in individuals with intermittent allergic rhinitis (pollen allergy). Inflammatory mediators can travel throughout the body, hence providing the physiologic basis by which pollen allergy may lead to systemic inflammation, which is known to be a risk factor for cardiovascular events. However, the findings regarding the potential association between intermittent allergic rhinitis, pollen exposure, and cardiovascular health are not fully conclusive. To date, no systematic review has been published on this topic. This systematic review seeks to answer: Are exposure to airborne pollen and intermittent allergic rhinitis associated with blood pressure? Secondary questions include: (1) Are there personal characteristics (sex, age) which modify a potential association between intermittent allergic rhinitis or pollen exposure with blood pressure and/or hypertension? (2) What research gaps exist in our understanding of how intermittent allergic rhinitis, pollen exposure, and cardiovascular health are interrelated? Published herein are: Protocol for the systematic review, including the search strategy Supplement 1: PROSPERO registration Supplement 2: Data extraction table Supplement 3: Risk of bias assessment strategy Supplement 4: Risk of bias assessment tool
description: This research was funded by the Swiss National Science Foundation (SNSF), grant No. 185864 and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 853568). The project was further supported by funding from the State Scholarship Fund (Shihua Shi), China Scholarship Council (CSC, grant No. 202108510119).
DOI: 10.5281/zenodo.7804999
title: Protocol for a systematic review: association between airborne pollen, intermittent allergic rhinitis and blood pressure

description: Previous epidemiological studies have found an increased risk of cardiovascular morbidity and mortality following days with heightened pollen exposure and suggested that intermittent allergic rhinitis might be associated with blood pressure. Pollen sensitization and subsequent pollen exposure cause local inflammation and cytokine release in individuals with intermittent allergic rhinitis (pollen allergy). Inflammatory mediators can travel throughout the body, hence providing the physiologic basis by which pollen allergy may lead to systemic inflammation, which is known to be a risk factor for cardiovascular events. However, the findings regarding the potential association between intermittent allergic rhinitis, pollen exposure, and cardiovascular health are not fully conclusive. To date, no systematic review has been published on this topic. This systematic review seeks to answer: Are exposure to airborne pollen and intermittent allergic rhinitis associated with blood pressure? Secondary questions include: (1) Are there personal characteristics (sex, age) which modify a potential association between intermittent allergic rhinitis or pollen exposure with blood pressure and/or hypertension? (2) What research gaps exist in our understanding of how intermittent allergic rhinitis, pollen exposure, and cardiovascular health are interrelated? Published herein are: Protocol for the systematic review, including the search strategy Supplement 1: PROSPERO registration Supplement 2: Data extraction table Supplement 3: Risk of bias assessment strategy Supplement 4: Risk of bias assessment tool
description: This research was funded by the Swiss National Science Foundation (SNSF), grant No. 185864 and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 853568). The project was further supported by funding from the State Scholarship Fund (Shihua Shi), China Scholarship Council (CSC, grant No. 202108510119).
DOI: 10.34740/kaggle/dsv/5593811
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.25921/9nss-j584
title: EK80 Water Column Sonar Data Collected During PC1803
DOI: 10.5517/ccdc.csd.cc2bx87s
title: CCDC 2172115: Experimental Crystal Structure Determination

description: Related Article: Hanuman Singh, Pragya Pragya, Aditya Mittal, V. Haridas|2023|Org.Biomol.Chem.|21|3557|doi:10.1039/D3OB00201B
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.cc2bx89v
title: CCDC 2172117: Experimental Crystal Structure Determination

description: Related Article: Hanuman Singh, Pragya Pragya, Aditya Mittal, V. Haridas|2023|Org.Biomol.Chem.|21|3557|doi:10.1039/D3OB00201B
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.cc2d2msx
title: CCDC 2207069: Experimental Crystal Structure Determination

description: Related Article: Aldiyar Shakenov, Krishna Prasad Gnyawali, Chae S. Yi|2023|Org.Biomol.Chem.|21|3582|doi:10.1039/D3OB00348E
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.cc2d2mty
title: CCDC 2207070: Experimental Crystal Structure Determination

description: Related Article: Aldiyar Shakenov, Krishna Prasad Gnyawali, Chae S. Yi|2023|Org.Biomol.Chem.|21|3582|doi:10.1039/D3OB00348E
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.cc2dp4x5
title: CCDC 2224867: Experimental Crystal Structure Determination

description: Related Article: Pavel S. Bobrov, Sergei D. Kirik, Ivan V. Peterson, Georgii A. Suboch|2023|Org.Biomol.Chem.|21|3604|doi:10.1039/D3OB00356F
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.cc2f030l
title: CCDC 2234418: Experimental Crystal Structure Determination

description: Related Article: K. Randall McClain, Hyunchul Kwon, Khetpakorn Chakarawet, Rizwan Nabi, Jon G. C. Kragskow, Nicholas F. Chilton, R. David Britt, Jeffrey R. Long, Benjamin G. Harvey|2023|J.Am.Chem.Soc.|145|8996|doi:10.1021/jacs.3c00182
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.cc2f031m
title: CCDC 2234419: Experimental Crystal Structure Determination

description: Related Article: K. Randall McClain, Hyunchul Kwon, Khetpakorn Chakarawet, Rizwan Nabi, Jon G. C. Kragskow, Nicholas F. Chilton, R. David Britt, Jeffrey R. Long, Benjamin G. Harvey|2023|J.Am.Chem.Soc.|145|8996|doi:10.1021/jacs.3c00182
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.cc2f033p
title: CCDC 2234421: Experimental Crystal Structure Determination

description: Related Article: K. Randall McClain, Hyunchul Kwon, Khetpakorn Chakarawet, Rizwan Nabi, Jon G. C. Kragskow, Nicholas F. Chilton, R. David Britt, Jeffrey R. Long, Benjamin G. Harvey|2023|J.Am.Chem.Soc.|145|8996|doi:10.1021/jacs.3c00182
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.cc2f034q
title: CCDC 2234422: Experimental Crystal Structure Determination

description: Related Article: K. Randall McClain, Hyunchul Kwon, Khetpakorn Chakarawet, Rizwan Nabi, Jon G. C. Kragskow, Nicholas F. Chilton, R. David Britt, Jeffrey R. Long, Benjamin G. Harvey|2023|J.Am.Chem.Soc.|145|8996|doi:10.1021/jacs.3c00182
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.cc2f035r
title: CCDC 2234423: Experimental Crystal Structure Determination

description: Related Article: K. Randall McClain, Hyunchul Kwon, Khetpakorn Chakarawet, Rizwan Nabi, Jon G. C. Kragskow, Nicholas F. Chilton, R. David Britt, Jeffrey R. Long, Benjamin G. Harvey|2023|J.Am.Chem.Soc.|145|8996|doi:10.1021/jacs.3c00182
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.cc2f038v
title: CCDC 2234426: Experimental Crystal Structure Determination

description: Related Article: K. Randall McClain, Hyunchul Kwon, Khetpakorn Chakarawet, Rizwan Nabi, Jon G. C. Kragskow, Nicholas F. Chilton, R. David Britt, Jeffrey R. Long, Benjamin G. Harvey|2023|J.Am.Chem.Soc.|145|8996|doi:10.1021/jacs.3c00182
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.cc2f1g54
title: CCDC 2235725: Experimental Crystal Structure Determination

description: Related Article: Xuerong Lin, Guanghui Ouyang, Minghua Liu|2023|ACS Applied Materials and Interfaces|15|19741|doi:10.1021/acsami.3c02237
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.7876328
title: Data for The Unintended Consequences of Flood Mitigation along Inland Waterways

description: The uploads contain a data description document and a spreadsheet containing the various data sets and links used in the project "<strong>The Unintended Consequences of Flood Mitigation along Inland Waterways – A Look at Resilience and Social Vulnerabilities through A Case Study Analysis".</strong>
DOI: 10.5281/zenodo.7876327
title: Data for The Unintended Consequences of Flood Mitigation along Inland Waterways

description: The uploads contain a data description document and a spreadsheet containing the various data sets and links used in the project "<strong>The Unintended Consequences of Flood Mitigation along Inland Waterways – A Look at Resilience and Social Vulnerabilities through A Case Study Analysis".</strong>
DOI: 10.5281/zenodo.7889012
title: Datasets describing optimization the cutting regime in the turning of AISI 316L steel based on the NSAG-II and NSAG-III multicriteria algorithms.

description: <em>This work shows the multi-criteria data analysis of the dry and MQL turning process of AISI 316L steel using the evolutionary algorithms of non-dominant class II and III (NSAG-II and NSAG-III). The wear of the cutting tool (VB), the energy consumption (E) and the machining time (t) are used as analysis variables, with the aim of minimizing the wear of the cutting tool based on the optimal selection of parameters. When comparing the results obtained from both methods, we found that NSAG-III was the best alternative for selecting parameters in the turning of specimens, with fewer tool wear and more efficient use of energy consumption.</em> <em>Interpretation of this data</em>
DOI: 10.5066/p9m9f5um
title: Sap flow, leaf water use efficiency, and partial weather station data to support stand water use modeling by nutrient treatment (N, P) for mangroves of Ding Darling NWR, Sanibel Island, Florida (2019-2020)

description: This study evaluated sap flow of neotropical mangrove species subjected to background nutrient loading, and well as fertilization with either nitrogen or phosphorus, at Ding Darling National Wildlife Refuge (NWR). Data collections were made seasonally to model stand water use by mangrove forests as a metric of ecosystem stress through alteration of water use potential at the stand level. Data on leaf-scale water use efficiency, and data from a partial weather station deployed near study sites, were included for enabling model development and calculation of stand water use.
DOI: 10.5281/zenodo.7892496
title: Climate as a gatekeeper: Unexpected absence of Batrachochytrium salamandrivorans in an Asian Chytrid hotspot suggests a narrow climatic niche for the pathogen

description: we conducted an extensive survey for <em>Batrachochytrium salamandrivorans </em>across the Guangxi region of Southern China, now considered a <em>B. dendrobatidis</em> hotspot. We examined 1230 individuals from 38 amphibian species and 36 environmental water bodies sampled. However, PCR testing revealed absence of <em>B. salamandrivorans </em> in our samples. A subsequent niche modeling analysis for <em>B.salamandrivorans </em> suggested that the bioclimatic conditions of much of the region may not be conducive to <em>B. salamandrivorans </em>.
DOI: 10.5281/zenodo.7892495
title: Climate as a gatekeeper: Unexpected absence of Batrachochytrium salamandrivorans in an Asian Chytrid hotspot suggests a narrow climatic niche for the pathogen

description: we conducted an extensive survey for <em>Batrachochytrium salamandrivorans </em>across the Guangxi region of Southern China, now considered a <em>B. dendrobatidis</em> hotspot. We examined 1230 individuals from 38 amphibian species and 36 environmental water bodies sampled. However, PCR testing revealed absence of <em>B. salamandrivorans </em> in our samples. A subsequent niche modeling analysis for <em>B.salamandrivorans </em> suggested that the bioclimatic conditions of much of the region may not be conducive to <em>B. salamandrivorans </em>.
DOI: 10.5281/zenodo.7892576
title: 17 Landmarks from modern human skulls

description: Coordinates of 17 landmarks of modern human skulls. They have not been subjected to Procrustes superimposition. See paper from Bucchi and Fonseca for details: Shape variation among skull regions using geometric morphometrics. Open in R: readRDS(file = "data.rds") The skulls are held at the Subactual Collection of Santiago (Facultad de Ciencias Sociales, Universidad de Chile) Landmark configuration: Number Landmark Location 1 Nasion The point of the intersection between the frontonasal suture and the midsagittal plane 2, 8 Fontomalar (paired: right and left) Most anterior point of the zygomaticofrontal suture 3, 9 Superior zigotemporale (paired) Most superior point in the temporozygomatic suture 4, 10 Porion (paired) Lateral most part of the superior margin of the external auditory meatus 5, 11 Mastoidale (paired) point at the lowest point of the mastoid process 6, 12 Zygomaxillare (paired) Most inferior point in the zygomaticomaxillary suture 7, 13 Ectomalare (paired) The most posterior point on the alveolar bone 14, 16 Pterion (paired) Intersection of the frontal, sphenoid, parietal and the squamous part of temporal bone 15, 17 Asterion (paired) Point where the temporal, parietal and occipital bones meet
DOI: 10.5281/zenodo.7892575
title: 17 Landmarks from modern human skulls

description: Coordinates of 17 landmarks of modern human skulls. They have not been subjected to Procrustes superimposition. See paper from Bucchi and Fonseca for details: Shape variation among skull regions using geometric morphometrics. Open in R: readRDS(file = "data.rds") The skulls are held at the Subactual Collection of Santiago (Facultad de Ciencias Sociales, Universidad de Chile) Landmark configuration: Number Landmark Location 1 Nasion The point of the intersection between the frontonasal suture and the midsagittal plane 2, 8 Fontomalar (paired: right and left) Most anterior point of the zygomaticofrontal suture 3, 9 Superior zigotemporale (paired) Most superior point in the temporozygomatic suture 4, 10 Porion (paired) Lateral most part of the superior margin of the external auditory meatus 5, 11 Mastoidale (paired) point at the lowest point of the mastoid process 6, 12 Zygomaxillare (paired) Most inferior point in the zygomaticomaxillary suture 7, 13 Ectomalare (paired) The most posterior point on the alveolar bone 14, 16 Pterion (paired) Intersection of the frontal, sphenoid, parietal and the squamous part of temporal bone 15, 17 Asterion (paired) Point where the temporal, parietal and occipital bones meet
DOI: 10.5281/zenodo.7890542
title: Unlabeled Sentinel 2 time series dataset (training, T30TYQ): Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

description: This is a part of the unlabeled Sentinel 2 (S2) L2A dataset composed of patch time series acquired over France used to pretrain U-BARN. For further details, see section IV.A of the pre-print article "Self-Supervised Spatio-Temporal Representation Learning Of Satellite Image Time Series" available here. Each patch is constituted of the 10 bands [B2,B3,B4,B5,B6,B7,B8,B8A,B11,B12] and the three masks ['CLM_R1', 'EDG_R1', 'SAT_R1']. The global dataset is composed of two disjoint datasets: training (9 tiles) and validation dataset (4 tiles). In this repo,<strong> only data from the S2 tile T30TYQ</strong> are available. To download the full pretraining dataset, see: 10.5281/zenodo.7891924 <strong>Global unlabeled dataset description</strong> Dataset name S2 tiles ROI size Temporal extent Train T30TXT,T30TYQ,T30TYS,T30UVU, T31TDJ,T31TDL,T31TFN,T31TGJ,T31UEP 1024*1024 2018-2020 Val T30TYR,T30UWU,T31TEK,T31UER 256*256 2016-2019
DOI: 10.5281/zenodo.7890541
title: Unlabeled Sentinel 2 time series dataset (training, T30TYQ): Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

description: This is a part of the unlabeled Sentinel 2 (S2) L2A dataset composed of patch time series acquired over France used to pretrain U-BARN. For further details, see section IV.A of the pre-print article "Self-Supervised Spatio-Temporal Representation Learning Of Satellite Image Time Series" available here. Each patch is constituted of the 10 bands [B2,B3,B4,B5,B6,B7,B8,B8A,B11,B12] and the three masks ['CLM_R1', 'EDG_R1', 'SAT_R1']. The global dataset is composed of two disjoint datasets: training (9 tiles) and validation dataset (4 tiles). In this repo,<strong> only data from the S2 tile T30TYQ</strong> are available. To download the full pretraining dataset, see: 10.5281/zenodo.7891924 <strong>Global unlabeled dataset description</strong> Dataset name S2 tiles ROI size Temporal extent Train T30TXT,T30TYQ,T30TYS,T30UVU, T31TDJ,T31TDL,T31TFN,T31TGJ,T31UEP 1024*1024 2018-2020 Val T30TYR,T30UWU,T31TEK,T31UER 256*256 2016-2019
DOI: 10.5281/zenodo.7875977
title: Unlabeled Sentinel 2 time series dataset (training, T30TXT): Self-supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

description: <strong> T30TXT unlabeled S2 dataset </strong> This is a part of the unlabeled Sentinel 2 (S2) L2A dataset composed of patch time series acquired over France used to pretrain U-BARN. For further details, see section IV.A of the pre-print article "Self-Supervised Spatio-Temporal Representation Learning Of Satellite Image Time Series" available here. Each patch is constituted of the 10 bands [B2,B3,B4,B5,B6,B7,B8,B8A,B11,B12] and the three masks ['CLM_R1', 'EDG_R1', 'SAT_R1']. The global dataset is composed of two disjoint datasets: training (9 tiles) and validation dataset (4 tiles). In this repo,<strong> only data from the S2 tile T30TXT</strong> are available. To download the full pretraining dataset, see : 10.5281/zenodo.7891924 <strong>Global unlabeled dataset description</strong> Dataset name S2 tiles ROI size Temporal extent Train T30TXT,T30TYQ,T30TYS,T30UVU, T31TDJ,T31TDL,T31TFN,T31TGJ,T31UEP 1024*1024 2018-2020 Val T30TYR,T30UWU,T31TEK,T31UER 256*256 2016-2019