cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28wtff
title: CCDC 2112105: Experimental Crystal Structure Determination

description: Related Article: Shanshan Ma, Haoying Cao, Rongwan Gao, Yanhong Feng, Yawen Guo, Wei Guan, Xinfang Duan, Peng Jiao|2023|Org.Lett.|25|2098|doi:10.1021/acs.orglett.3c00469
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.cc28wthh
title: CCDC 2112107: Experimental Crystal Structure Determination

description: Related Article: Shanshan Ma, Haoying Cao, Rongwan Gao, Yanhong Feng, Yawen Guo, Wei Guan, Xinfang Duan, Peng Jiao|2023|Org.Lett.|25|2098|doi:10.1021/acs.orglett.3c00469
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.22433881.v1
title: Supplementary Material for: Unilateral Axillary Lymphadenopathy in cancer patients post-COVID-19 vaccination: Review and case series

description: Novel Coronavirus-19 (COVID-19) variants continue to spread worldwide with the development of highly transmissible strains. Several guidelines addressing management of cancer patients during the COVID-19 pandemic have been published, primarily based upon expert opinion. The COVID-19 pandemic has affected all aspects of breast cancer care including screening, diagnosis, treatment and long-term follow-up. Recent reports indicate that m-RNA COVID-19 vaccines can provoke lymphadenopathy in both cancer patients and healthy individuals. Unilateral Axillary Lymphadenopathy (UAL) post-COVID-19 vaccination is a challenging presentation for cancer patients because of the potential for misinterpretation as malignancy. The World Health Organization’s target to vaccinate 70% of the world’s population by mid-2023 is likely to increase the incidence of post COVID-19 vaccination UAL. In this article, we review the published evidence regarding UAL post COVID-19 vaccination and present diverse cases of breast cancer patients where false positive UAL post-COVID-19 vaccination proved to be a therapeutic challenge. The United Arab Emirates (UAE) vaccination program is well ahead of other countries in the world having accomplished the target of 100% vaccination of the population with at least one dose. Therefore, an increasing number of recently vaccinated patients are likely to present with UAL, detected by surveillance imaging, post-vaccination. We have therefore made recommendations regarding the management of cancer patients with UAL post-COVID-19 vaccination in order to avoid misdiagnosis and unnecessary imaging or invasive biopsy procedures.
DOI: 10.34740/kaggle/dsv/5330080
title: AdultoMayor_5_fc
DOI: 10.5281/zenodo.7805368
title: Probing the topologically trivial nature of end states in antiferromagnetic atomic chains on superconductors

description: This .zip file includes the Mathematica Notebook used to create all figures of the main text as well as the relevant raw data needed to reproduce the results of the paper.
DOI: 10.5281/zenodo.7805367
title: Probing the topologically trivial nature of end states in antiferromagnetic atomic chains on superconductors

description: This .zip file includes the Mathematica Notebook used to create all figures of the main text as well as the relevant raw data needed to reproduce the results of the paper.
DOI: 10.6084/m9.figshare.18494342
title: BaiLanqiang_2020GRL_ConvectionInitiationinMonsoonCoastalAreasSouthChina.pdf

description: paper
DOI: 10.6084/m9.figshare.18494342.v2
title: BaiLanqiang_2020GRL_ConvectionInitiationinMonsoonCoastalAreasSouthChina.pdf

description: paper
DOI: 10.6084/m9.figshare.18494342.v1
title: BaiLanqiang_2020GRL_ConvectionInitiationinMonsoonCoastalAreasSouthChina.pdf

description: hhhhh
DOI: 10.5281/zenodo.7734239
title: Microsatellite genotype data and leaf morphological data of the publication "Bidirectional gene flow between Fagus sylvatica L. and F. orientalis Lipsky despite strong genetic divergence"

description: These data sets were used for analyses in the publication "Bidirectional gene flow between <em>Fagus sylvatica</em> L. and<em> F. orientalis</em> Lipsky despite strong genetic divergence" accepted in Forest Ecology and Management Volume 537, 1 June 2023, 120947, https://doi.org/10.1016/j.foreco.2023.120947 For details about the data, please read the corresponding ReadMe files.
description: {"references": ["Budde KB, H\u00f6tzel S, M\u00fcller M, Samsonidze N, Papageorgiou AC, Gailing O (2023) Bidirectional gene flow between Fagus sylvatica L. and F. orientalis Lipsky despite strong genetic divergence, Forest Ecology and Management, 537, 120947, https://doi.org/10.1016/j.foreco.2023.120947."]}
DOI: 10.5281/zenodo.7734238
title: Microsatellite genotype data and leaf morphological data of the publication "Bidirectional gene flow between Fagus sylvatica L. and F. orientalis Lipsky despite strong genetic divergence"

description: These data sets were used for analyses in the publication "Bidirectional gene flow between <em>Fagus sylvatica</em> L. and<em> F. orientalis</em> Lipsky despite strong genetic divergence" accepted in Forest Ecology and Management Volume 537, 1 June 2023, 120947, https://doi.org/10.1016/j.foreco.2023.120947 For details about the data, please read the corresponding ReadMe files.
description: {"references": ["Budde KB, H\u00f6tzel S, M\u00fcller M, Samsonidze N, Papageorgiou AC, Gailing O (2023) Bidirectional gene flow between Fagus sylvatica L. and F. orientalis Lipsky despite strong genetic divergence, Forest Ecology and Management, 537, 120947, https://doi.org/10.1016/j.foreco.2023.120947."]}
DOI: 10.34740/kaggle/dsv/5330169
title: AdultoMayor_5_fc
DOI: 10.34740/kaggle/dsv/5330251
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/5330266
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.6094866
title: Performance Data of an Ice-Melting Probe from Field Tests in two Different Ice Environments

description: This dataset was acquired at field tests of the steerable ice-melting probe "EnEx-IceMole" (Dachwald et al., 2014). A field test in summer 2014 was used to test the melting probe's system, before the probe was shipped to Antarctica, where, in international cooperation with the MIDGE project, the objective of a sampling mission in the southern hemisphere summer 2014/2015 was to return a clean englacial sample from the subglacial brine reservoir supplying the Blood Falls at Taylor Glacier (Badgeley et al., 2017, German et al., 2021). The standardized log-files generated by the IceMole during melting operation include more than 100 operational parameters, housekeeping information, and error states, which are reported to the base station in intervals of 4 s. Occasional packet loss in data transmission resulted in a sparse number of increased sampling intervals, which where compensated for by linear interpolation during post processing. The presented dataset is based on a subset of this data: The penetration distance is calculated based on the ice screw drive encoder signal, providing the rate of rotation, and the screw's thread pitch. The melting speed is calculated from the same data, assuming the rate of rotation to be constant over one sampling interval. The contact force is calculated from the longitudinal screw force, which es measured by strain gauges. The used heating power is calculated from binary states of all heating elements, which can only be either switched on or off. Temperatures are measured at each heating element and averaged for three zones (melting head, side-wall heaters and back-plate heaters).
description: We gratefully acknowledge support through the Explorer Initiatives of the DLR Space Administration funded through the Federal Ministry of Economic Affairs and Energy, on the basis of a decision by the German Bundestag (50NA1206, 50NA1908, 50NA2009).
description: {"references": ["Badgeley, J.A., Pettit, E.C., Carr, C.G., Tulaczyk, S., Mikucki, J.A., Lyons,W.B., 2017. An englacial hydrologic system of brine within a coldglacier: Blood Falls, McMurdo Dry Valleys, Antarctica. Journal ofGlaciology , 1\u201314. doi:DOI:10.1017/jog.2017.16.", "Dachwald, B., Mikucki, J., Tulaczyk, S., Digel, I., Espe, C., Feldmann, M.,Francke, G., Kowalski, J., Xu, C., 2014. IceMole: A maneuverable probefor clean in situ analysis and sampling of subsurface ice and subglacialaquatic ecosystems. Annals of Glaciology 55, 14\u201322. doi:10.3189/2014AoG65A004.", "German, L., Mikucki, J.A., Welch, S.A., A., W.K., Lutton, A., Dachwald,B., Kowalski, J., Heinen, D., Feldmann, M., Francke, G., Espe, C.,Lyons, W.B., 2021. Validation of sampling antarctic subglacial hyper-saline waters with an electrothermal ice melting probe (icemole) forenvironmental analytical geochemistry. Int. J. Environ. Anal. Chem.101, 2654\u20132667. doi:10.1080/03067319.2019.1704750."]}
DOI: 10.5281/zenodo.6094865
title: Performance Data of an Ice-Melting Probe from Field Tests in two Different Ice Environments

description: This dataset was acquired at field tests of the steerable ice-melting probe "EnEx-IceMole" (Dachwald et al., 2014). A field test in summer 2014 was used to test the melting probe's system, before the probe was shipped to Antarctica, where, in international cooperation with the MIDGE project, the objective of a sampling mission in the southern hemisphere summer 2014/2015 was to return a clean englacial sample from the subglacial brine reservoir supplying the Blood Falls at Taylor Glacier (Badgeley et al., 2017, German et al., 2021). The standardized log-files generated by the IceMole during melting operation include more than 100 operational parameters, housekeeping information, and error states, which are reported to the base station in intervals of 4 s. Occasional packet loss in data transmission resulted in a sparse number of increased sampling intervals, which where compensated for by linear interpolation during post processing. The presented dataset is based on a subset of this data: The penetration distance is calculated based on the ice screw drive encoder signal, providing the rate of rotation, and the screw's thread pitch. The melting speed is calculated from the same data, assuming the rate of rotation to be constant over one sampling interval. The contact force is calculated from the longitudinal screw force, which es measured by strain gauges. The used heating power is calculated from binary states of all heating elements, which can only be either switched on or off. Temperatures are measured at each heating element and averaged for three zones (melting head, side-wall heaters and back-plate heaters).
description: We gratefully acknowledge support through the Explorer Initiatives of the DLR Space Administration funded through the Federal Ministry of Economic Affairs and Energy, on the basis of a decision by the German Bundestag (50NA1206, 50NA1908, 50NA2009).
description: {"references": ["Badgeley, J.A., Pettit, E.C., Carr, C.G., Tulaczyk, S., Mikucki, J.A., Lyons,W.B., 2017. An englacial hydrologic system of brine within a coldglacier: Blood Falls, McMurdo Dry Valleys, Antarctica. Journal ofGlaciology , 1\u201314. doi:DOI:10.1017/jog.2017.16.", "Dachwald, B., Mikucki, J., Tulaczyk, S., Digel, I., Espe, C., Feldmann, M.,Francke, G., Kowalski, J., Xu, C., 2014. IceMole: A maneuverable probefor clean in situ analysis and sampling of subsurface ice and subglacialaquatic ecosystems. Annals of Glaciology 55, 14\u201322. doi:10.3189/2014AoG65A004.", "German, L., Mikucki, J.A., Welch, S.A., A., W.K., Lutton, A., Dachwald,B., Kowalski, J., Heinen, D., Feldmann, M., Francke, G., Espe, C.,Lyons, W.B., 2021. Validation of sampling antarctic subglacial hyper-saline waters with an electrothermal ice melting probe (icemole) forenvironmental analytical geochemistry. Int. J. Environ. Anal. Chem.101, 2654\u20132667. doi:10.1080/03067319.2019.1704750."]}
DOI: 10.34740/kaggle/dsv/5330297
title: AdultoMayor_15_fc
DOI: 10.57967/hf/0511
title: steam-games-dataset
DOI: 10.6084/m9.figshare.22567804
title: Data.xlsx

description: This data includes the percentage of samaras gnawed by insects in natural populations of <em>Rheum nanum, </em>samara abortion percentage, fruit, seed and embryo weight, and seed germination in different insect herbivory categories.
DOI: 10.6084/m9.figshare.22567804.v1
title: Data.xlsx

description: This data includes the percentage of samaras gnawed by insects in natural populations of <em>Rheum nanum, </em>samara abortion percentage, fruit, seed and embryo weight, and seed germination in different insect herbivory categories.
DOI: 10.34740/kaggle/dsv/5330325
title: AdultoMayor_15_fc
DOI: 10.6084/m9.figshare.19419881
title: *UNWEIGHTED* Daily, County-Level Wet-Bulb Globe Temperature, Universal Thermal Climate Index, and Other Heat Metrics for the Contiguous United States, 2000-2020

description: This data set includes daily, <strong>unweighted</strong> values of various heat metrics for every county in the contiguous United States from 2000-2020. The dataset methodology, usage notes, and additional citations are published in <em>Scientific Data </em>(see reference below for Spangler et al. [2022]). Minimum, maximum, and mean ambient temperature, dew-point temperature, humidex, heat index, net effective temperature, wet-bulb globe temperature, and Universal Thermal Climate Index are included. Notes: (1) Monroe County, Florida (FIPS: 12087) and Nantucket County, Massachusetts (FIPS 25019) are missing due to unavailability of ERA5-Land data for Key West, Florida and Nantucket, MA; and (2) These unweighted means are based only on pixels with non-zero populations, so areas such as large inland waterbodies are excluded. To use these data, assign the data from the .Rds file to a new data frame in R using the readRDS() function. Please cite the use of this data set with the following reference. Note that additional citations for specific variables can be found in Table 2. K.R. Spangler, S. Liang, and G.A. Wellenius. "Wet-Bulb Globe Temperature, Universal Thermal Climate Index, and Other Heat Metrics for US Counties, 2000-2020." <em>Scientific Data</em> (2022). doi: 10.1038/s41597-022-01405-3 This data set contains modified Copernicus Climate Change Service information (2022), as described and cited in the manuscript referenced above. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. This data set is provided “as is” with no warranty of any kind.
DOI: 10.6084/m9.figshare.19419881.v1
title: *UNWEIGHTED* Daily, County-Level Wet-Bulb Globe Temperature, Universal Thermal Climate Index, and Other Heat Metrics for the Contiguous United States, 2000-2020

description: This data set includes daily, <strong>unweighted</strong> mean values of various heat metrics for counties in the contiguous United States from 2000-2020. For applications involving human populations (e.g., public health), it is recommended to use the <em>population-weighted</em> data set instead. It has been accepted for publication at <em>Scientific Data</em>. Minimum, maximum, and mean ambient temperature, dew-point temperature, humidex, heat index, effective temperature, wet-bulb globe temperature, and Universal Thermal Climate Index are included. Note that Monroe County, Florida (FIPS: 12087) and Nantucket County, Massachusetts (FIPS 25019) are missing due to unavailability of ERA5-Land data for Key West, Florida and Nantucket, MA. <br> This data set is provided "as is," with no warranty whatsoever.
DOI: 10.34740/kaggle/dsv/5330401
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.21720299
title: data.zip

description: All datasets, including the 400k protein se-<br> quences, DIAMOND-clusters, EMERALD-output, and an-<br> notation files for the EMERALD paper data analysis.
DOI: 10.6084/m9.figshare.21720299.v3
title: data.zip

description: All datasets, including the 400k protein se-<br> quences, DIAMOND-clusters, EMERALD-output, and an-<br> notation files for the EMERALD paper data analysis.
DOI: 10.5281/zenodo.7805527
title: SciExpeM - 10.5281/zenodo.7805527

description: Marrodán, Lorena, 0000-0002-7767-3057; Royo, Eduardo; Millera, Ángela; Bilbao, Rafael; Alzueta, María U. - Energy & Fuels, 2015, (29), 3507-3517
DOI: 10.5281/zenodo.7805526
title: SciExpeM - 10.5281/zenodo.7805527

description: Marrodán, Lorena, 0000-0002-7767-3057; Royo, Eduardo; Millera, Ángela; Bilbao, Rafael; Alzueta, María U. - Energy & Fuels, 2015, (29), 3507-3517
DOI: 10.5281/zenodo.7805529
title: Field of View measurements of Sunphotometers within the project 19ENV04 MAPP

description: Measurements in the laboratory of the field of view of several sunphotometers used for the measurement of direct solar irradiance and radiance. Reports of the measurements are contained in the different folders of the instruments.
description: This work has been supported by the European Metrology Program for Innovation and Research (EMPIR) within the joint research project EMPIR 19ENV04 MAPP "Metrology for aerosol optical properties". The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.
DOI: 10.5281/zenodo.7805528
title: Field of View measurements of Sunphotometers within the project 19ENV04 MAPP

description: Measurements in the laboratory of the field of view of several sunphotometers used for the measurement of direct solar irradiance and radiance. Reports of the measurements are contained in the different folders of the instruments.
description: This work has been supported by the European Metrology Program for Innovation and Research (EMPIR) within the joint research project EMPIR 19ENV04 MAPP "Metrology for aerosol optical properties". The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.
DOI: 10.34740/kaggle/dsv/5315653
title: CO2 solubility in water approximation (2000 bar)
DOI: 10.5517/ccdc.csd.cc2bp9q2
title: CCDC 2165434: Experimental Crystal Structure Determination

description: Related Article: Subhadip Jana, Benedict J. Elvers, Sebastian Pätsch, Pallavi Sarkar, Ivo Krummenacher, Mithilesh Kumar Nayak, Avijit Maiti, Nicolas Chrysochos, Swapan K. Pati, Carola Schulzke, Holger Braunschweig, Cem B. Yildiz, Anukul Jana|2023|Org.Lett.|25|1799|doi:10.1021/acs.orglett.2c03993
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.cc2bp9v6
title: CCDC 2165438: Experimental Crystal Structure Determination

description: Related Article: Subhadip Jana, Benedict J. Elvers, Sebastian Pätsch, Pallavi Sarkar, Ivo Krummenacher, Mithilesh Kumar Nayak, Avijit Maiti, Nicolas Chrysochos, Swapan K. Pati, Carola Schulzke, Holger Braunschweig, Cem B. Yildiz, Anukul Jana|2023|Org.Lett.|25|1799|doi:10.1021/acs.orglett.2c03993
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.cc2bp9x8
title: CCDC 2165440: Experimental Crystal Structure Determination

description: Related Article: Subhadip Jana, Benedict J. Elvers, Sebastian Pätsch, Pallavi Sarkar, Ivo Krummenacher, Mithilesh Kumar Nayak, Avijit Maiti, Nicolas Chrysochos, Swapan K. Pati, Carola Schulzke, Holger Braunschweig, Cem B. Yildiz, Anukul Jana|2023|Org.Lett.|25|1799|doi:10.1021/acs.orglett.2c03993
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.cc2bp9y9
title: CCDC 2165441: Experimental Crystal Structure Determination

description: Related Article: Subhadip Jana, Benedict J. Elvers, Sebastian Pätsch, Pallavi Sarkar, Ivo Krummenacher, Mithilesh Kumar Nayak, Avijit Maiti, Nicolas Chrysochos, Swapan K. Pati, Carola Schulzke, Holger Braunschweig, Cem B. Yildiz, Anukul Jana|2023|Org.Lett.|25|1799|doi:10.1021/acs.orglett.2c03993
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.cc2bp9zb
title: CCDC 2165442: Experimental Crystal Structure Determination

description: Related Article: Subhadip Jana, Benedict J. Elvers, Sebastian Pätsch, Pallavi Sarkar, Ivo Krummenacher, Mithilesh Kumar Nayak, Avijit Maiti, Nicolas Chrysochos, Swapan K. Pati, Carola Schulzke, Holger Braunschweig, Cem B. Yildiz, Anukul Jana|2023|Org.Lett.|25|1799|doi:10.1021/acs.orglett.2c03993
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.cc2bpb0d
title: CCDC 2165443: Experimental Crystal Structure Determination

description: Related Article: Subhadip Jana, Benedict J. Elvers, Sebastian Pätsch, Pallavi Sarkar, Ivo Krummenacher, Mithilesh Kumar Nayak, Avijit Maiti, Nicolas Chrysochos, Swapan K. Pati, Carola Schulzke, Holger Braunschweig, Cem B. Yildiz, Anukul Jana|2023|Org.Lett.|25|1799|doi:10.1021/acs.orglett.2c03993
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.cc2bpb5k
title: CCDC 2165448: Experimental Crystal Structure Determination

description: Related Article: Subhadip Jana, Benedict J. Elvers, Sebastian Pätsch, Pallavi Sarkar, Ivo Krummenacher, Mithilesh Kumar Nayak, Avijit Maiti, Nicolas Chrysochos, Swapan K. Pati, Carola Schulzke, Holger Braunschweig, Cem B. Yildiz, Anukul Jana|2023|Org.Lett.|25|1799|doi:10.1021/acs.orglett.2c03993
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.