cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8241646
title: ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Terra (2010.07-09)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020). This is the ELITE SLDR (Terra) product in 2010.07-2010.09. Please <strong><em>click here</em></strong> to download the ELITE SLDR (Terra) product in 2010.04-2010.06 and <strong><em>click here</em></strong> to download the ELITE SLDR (Terra) product in 2010.10-2010.12. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 5min/instantaneous Data Format: hdf Scale: 0.05 Offset: -1000 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630. Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972. If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.5281/zenodo.8241645
title: ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Terra (2010.07-09)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020). This is the ELITE SLDR (Terra) product in 2010.07-2010.09. Please <strong><em>click here</em></strong> to download the ELITE SLDR (Terra) product in 2010.04-2010.06 and <strong><em>click here</em></strong> to download the ELITE SLDR (Terra) product in 2010.10-2010.12. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 5min/instantaneous Data Format: hdf Scale: 0.05 Offset: -1000 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630. Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972. If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.5281/zenodo.7929151
title: SERVS (Spitzer Extragalactic Representative Volume Survey) IRAC12 Catalogs

description: *** SERVS DR2 - SERVS IRAC12 "Bandmerge" - Last Updated on 13 Jan 2017 *** *** Mattia Vaccari - University of Cape Town - https://www.mattiavaccari.net *** https://www.mattiavaccari.net/df - https://doi.org/10.5281/zenodo.7929150 Mauduit et al. 2012 - https://ui.adsabs.harvard.edu/abs/2012PASP..124..714M/abstract Vaccari 2015 - https://ui.adsabs.harvard.edu/abs/2015fers.confE..27V/abstract We produced single-band IRAC1 and IRAC2 catalogs, measured aperture and integrated fluxes/magnitudes and corrected aperture fluxes/magnitudes using the correction factors adopted in SWIRE DR2 by Surace et al. 2005 - https://ui.adsabs.harvard.edu/abs/2005AAS...207.6301S/abstract SWIRE DR2 docs - https://irsa.ipac.caltech.edu/data/SPITZER/SWIRE/docs/delivery_doc_r2_v2.pdf IRAC aperture radii [arcsec] - ap1 = 1.4 / ap2 = 1.9 / ap3 = 2.9 / ap4 = 4.1 / ap5 = 5.8 We did merge single-band IRAC1 and IRAC2 catalogs into an IRAC12 catalog using a search radius of 1.0 arcsec We did add three columns at the beginning of the catalog - ID_12 index to track sources (single-band indices are NUMBER_1 and NUMBER_2) - ALPHA_J2000_12 and DELTA_J2000_2 which are average values for sources detected in both IRAC1 and IRAC2
DOI: 10.5281/zenodo.7929150
title: SERVS (Spitzer Extragalactic Representative Volume Survey) IRAC12 Catalogs

description: *** SERVS DR2 - SERVS IRAC12 "Bandmerge" - Last Updated on 13 Jan 2017 *** *** Mattia Vaccari - University of Cape Town - https://www.mattiavaccari.net *** https://www.mattiavaccari.net/df - https://doi.org/10.5281/zenodo.7929150 Mauduit et al. 2012 - https://ui.adsabs.harvard.edu/abs/2012PASP..124..714M/abstract Vaccari 2015 - https://ui.adsabs.harvard.edu/abs/2015fers.confE..27V/abstract We produced single-band IRAC1 and IRAC2 catalogs, measured aperture and integrated fluxes/magnitudes and corrected aperture fluxes/magnitudes using the correction factors adopted in SWIRE DR2 by Surace et al. 2005 - https://ui.adsabs.harvard.edu/abs/2005AAS...207.6301S/abstract SWIRE DR2 docs - https://irsa.ipac.caltech.edu/data/SPITZER/SWIRE/docs/delivery_doc_r2_v2.pdf IRAC aperture radii [arcsec] - ap1 = 1.4 / ap2 = 1.9 / ap3 = 2.9 / ap4 = 4.1 / ap5 = 5.8 We did merge single-band IRAC1 and IRAC2 catalogs into an IRAC12 catalog using a search radius of 1.0 arcsec We did add three columns at the beginning of the catalog - ID_12 index to track sources (single-band indices are NUMBER_1 and NUMBER_2) - ALPHA_J2000_12 and DELTA_J2000_2 which are average values for sources detected in both IRAC1 and IRAC2
DOI: 10.5525/gla.researchdata.1443
title: Discrete-to-continuum models of pre-stressed cytoskeletal filament networks

description: Matlab and FEniCS codes simulating the discrete and continuum models of cytoskeletal mechanics during intra-cellular transport introduced in the manuscript “Discrete-to-continuum models of pre-stressed cytoskeletal filament networks”
DOI: 10.6084/m9.figshare.19390763
title: Cheah, Jon - MAGMA code on Pin(3) Subgroups

description: MAGMA code for my MA4K9 dissertation project at the University of Warwick. Includes files on the finite subgroups of O(3), SU(2), and Pin_{\pm}(3), as well as the complex and Real Frobenius-Schur indicators between the index 2 containments.<br><br>The .zip contains all the text files sorted into folders.<br><br>Dissertation can be found here.
DOI: 10.6084/m9.figshare.19390763.v2
title: Cheah, Jon - MAGMA code on Pin(3) Subgroups

description: MAGMA code for my MA4K9 research project at the University of Warwick. Includes files on the finite subgroups of O(3), SU(2), and Pin_{\pm}(3), as well as the complex and Real Frobenius-Schur indicators between the index 2 containments.<br><br>The .zip contains all the text files sorted into folders.
DOI: 10.6084/m9.figshare.19390763.v3
title: Cheah, Jon - MAGMA code on Pin(3) Subgroups

description: MAGMA code for my MA4K9 dissertation project at the University of Warwick. Includes files on the finite subgroups of O(3), SU(2), and Pin_{\pm}(3), as well as the complex and Real Frobenius-Schur indicators between the index 2 containments.<br><br>The .zip contains all the text files sorted into folders.<br><br>Dissertation can be found here.
DOI: 10.5281/zenodo.7650237
title: SEMAFORA Semantic Reference Data Models

description: To support the aim of the Semafora project, a series of Semantic Reference Data Models were created to provide a target semantic structure for the integration of standard archaeological survey data. The following models constitute the Semafora SRDM package: Place: This model is used to document any places associated with the archaeological survey. Institution: This model is used to document any institution associated with the survey. Period: This model is used to document the generic historical period assigned to the production of artefacts, existence of sites or other observable archaeological and historical events. Feature: This model is used to document any physical features, such as walls and other human-made structures observable on the field. Project: This model is used to document the overarching project, a part of which is the archaeological survey. Some projects may involve surveys, excavations, and other archaeological activities. Site: This model is used to document a site declared as archaeological as a result of the survey process. Digital Object: This model is used to document any type of digital asset associated with the survey. Survey Unit: This model is used to document a defined survey unit where the survey activity happens. It has both the properties of a place with dimensions and coordinates and of a physical thing from which samples can be collected. Collection: This model is used to document a collection of physical things, usually artefacts, collected while surveying. Artefact: This model is used to document individual artifacts collected from while surveying as a part of a larger collection of material things or as a singular artefact collection or documentation. Image: This model is used to document any image representing components of the archaeological survey, such as artefacts, features, places, people, etc. Observation: This model is used to document the act of observation usually associated with archaeological sites or survey units and the properties assigned to those as a result of the observation. Bibliography: This model is used to document any textual object associated with the survey or any components of it. Sample: This model is used to document a material sample of the survey unit. It partially overlaps with collection but acts as a parent sample that may contain other physical things besides human-made objects. Person: This model is used to document an individual person (alive or dead) involved in some way in the survey process. These models are intended to be used in order to guide semantic data mapping processes as well as to provide instructions for the creation of a target data semantic data management system. Each model’s semantic reference data model description is stored here as a csv. The ongoing curation and updating of these SRDMs is undertaken using the Zellij system and can be accessed here: https://zellij.pythonanywhere.com/docs/list/appaCfYmUmH78z85c
DOI: 10.5281/zenodo.7650236
title: SEMAFORA Semantic Reference Data Models

description: To support the aim of the Semafora project, a series of Semantic Reference Data Models were created to provide a target semantic structure for the integration of standard archaeological survey data. The following models constitute the Semafora SRDM package: Place: This model is used to document any places associated with the archaeological survey. Institution: This model is used to document any institution associated with the survey. Period: This model is used to document the generic historical period assigned to the production of artefacts, existence of sites or other observable archaeological and historical events. Feature: This model is used to document any physical features, such as walls and other human-made structures observable on the field. Project: This model is used to document the overarching project, a part of which is the archaeological survey. Some projects may involve surveys, excavations, and other archaeological activities. Site: This model is used to document a site declared as archaeological as a result of the survey process. Digital Object: This model is used to document any type of digital asset associated with the survey. Survey Unit: This model is used to document a defined survey unit where the survey activity happens. It has both the properties of a place with dimensions and coordinates and of a physical thing from which samples can be collected. Collection: This model is used to document a collection of physical things, usually artefacts, collected while surveying. Artefact: This model is used to document individual artifacts collected from while surveying as a part of a larger collection of material things or as a singular artefact collection or documentation. Image: This model is used to document any image representing components of the archaeological survey, such as artefacts, features, places, people, etc. Observation: This model is used to document the act of observation usually associated with archaeological sites or survey units and the properties assigned to those as a result of the observation. Bibliography: This model is used to document any textual object associated with the survey or any components of it. Sample: This model is used to document a material sample of the survey unit. It partially overlaps with collection but acts as a parent sample that may contain other physical things besides human-made objects. Person: This model is used to document an individual person (alive or dead) involved in some way in the survey process. These models are intended to be used in order to guide semantic data mapping processes as well as to provide instructions for the creation of a target data semantic data management system. Each model’s semantic reference data model description is stored here as a csv. The ongoing curation and updating of these SRDMs is undertaken using the Zellij system and can be accessed here: https://zellij.pythonanywhere.com/docs/list/appaCfYmUmH78z85c
DOI: 10.25345/c5pc2tk6q
title: MassIVE MSV000092718 - GNPS - azodyrecin biosynthesis study (CeMiSt)
title: Investigation of azodyrecin biosynthesis through heterologous expression and knockout studies in wild type producer (Streptomyces mirabilis P8-A2). FBMN conducted and preprocessing with MS-DIAL.
DOI: 10.34740/kaggle/dsv/4992767
title: David Guetta Song Lyrics Dataset
DOI: 10.57745/s0msvm
title: Data.zip

description: :unav
DOI: 10.57745/am8mdr
title: Output.zip

description: :unav
DOI: 10.57745/fjkow9
title: Shapefiles.zip

description: :unav
DOI: 10.57745/gnjx32
title: Spatial_objects.zip

description: :unav
DOI: 10.57745/cy89ri
title: Metadata.pdf

description: :unav
DOI: 10.57745/9ytgye
title: Spatial_analyses.Rmd

description: :unav
DOI: 10.5517/ccdc.csd.cc1pz370
title: CCDC 1578062: Experimental Crystal Structure Determination

description: Related Article: Aurore Thibon-Pourret, Federica Gennarini, Rolf David, James A. Isaac, Isidoro Lopez, Gisèle Gellon, Florian Molton, Laurianne Wojcik, Christian Philouze, David Flot, Yves Le Mest, Marius Réglier, Nicolas Le Poul, Hélène Jamet, Catherine Belle|2018|Inorg.Chem.|57|12364|doi:10.1021/acs.inorgchem.8b02127
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.cc25gbcc
title: CCDC 2009772: Experimental Crystal Structure Determination

description: Related Article: Alexiane Thevenet, Ana Miljkovic, Sonia La Cognata, Cécile Marie, Christelle Tamain, Nathalie Boubals, Carlo Mangano, Valeria Amendola, Philippe Guilbaud|2021|Dalton Trans.|50|1620|doi:10.1039/D0DT04210B
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.cc21yfn3
title: CCDC 1905125: Experimental Crystal Structure Determination

description: Related Article: Yuki Sofue, Kotohiro Nomura, Akiko Inagaki|2019|Organometallics|38|2408|doi:10.1021/acs.organomet.9b00227
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.cc27jb7c
title: CCDC 2071272: Experimental Crystal Structure Determination

description: Related Article: Dawei Zhang, Quan Gan, Alex J. Plajer, Roy Lavendomme, Tanya K. Ronson, Zifei Lu, Jesper D. Jensen, Bo W. Laursen, Jonathan R. Nitschke|2022|J.Am.Chem.Soc.|144|1106|doi:10.1021/jacs.1c11536
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.cc27km5m
title: CCDC 2072510: Experimental Crystal Structure Determination

description: Related Article: Xiaoshuang Ma, Lin Xiong, Lubing Qin, Yun Tang, Guanyu Ma, Yong Pei, Zhenghua Tang|2021|Chemical Science|12|12819|doi:10.1039/D1SC03679C
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.cc27ks3q
title: CCDC 2072663: Experimental Crystal Structure Determination

description: Related Article: Xiaoshuang Ma, Lin Xiong, Lubing Qin, Yun Tang, Guanyu Ma, Yong Pei, Zhenghua Tang|2021|Chemical Science|12|12819|doi:10.1039/D1SC03679C
description: Related Article: Xiaoshuang Ma, Fang Sun, Lubing Qin, Yonggang Liu, Xiongwu Kang, Likai Wang, De-en Jiang, Qing Tang, Zhenghua Tang|2022|Chemical Science|13|10149|doi:10.1039/D2SC02886G
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.cc27vv0z
title: CCDC 2081371: Experimental Crystal Structure Determination

description: Related Article: Sara Fernández-Moyano, Marconi N. Peñas-Defrutos, Camino Bartolomé, Pablo Espinet|2021|Inorg.Chem.|60|14410|doi:10.1021/acs.inorgchem.1c02189
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.cc27vv10
title: CCDC 2081372: Experimental Crystal Structure Determination

description: Related Article: Sara Fernández-Moyano, Marconi N. Peñas-Defrutos, Camino Bartolomé, Pablo Espinet|2021|Inorg.Chem.|60|14410|doi:10.1021/acs.inorgchem.1c02189
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.cc27v98p
title: CCDC 2080852: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Ramler, Felipe Fantuzzi, Felix Geist, Anna Hanft, Holger Braunschweig, Bernd Engels, Crispin Lichtenberg|2021|Angew.Chem.,Int.Ed.|60|24388|doi:10.1002/anie.202109545
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.cc27vv21
title: CCDC 2081373: Experimental Crystal Structure Determination

description: Related Article: Sara Fernández-Moyano, Marconi N. Peñas-Defrutos, Camino Bartolomé, Pablo Espinet|2021|Inorg.Chem.|60|14410|doi:10.1021/acs.inorgchem.1c02189
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.cc27v99q
title: CCDC 2080853: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Ramler, Felipe Fantuzzi, Felix Geist, Anna Hanft, Holger Braunschweig, Bernd Engels, Crispin Lichtenberg|2021|Angew.Chem.,Int.Ed.|60|24388|doi:10.1002/anie.202109545
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: 10.25592/uhhfdm.8985
title: Subset of KoLaS (Commented Learner Corpus Academic Writing), Plain Text Version

description: For this upload, all Word files (.doc and .docx) in the original KoLaS corpus were converted to plain text. For more information see https://github.com/melandresen/Ich-Daten.
description: {"references": ["Andresen, Melanie & Dagmar Knorr. 2021. Exploring the Use of the Pronoun I in German Academic Texts with Machine Learning. In Ralf H. Reussner, Anne Koziolek & Robert Heinrich (eds.), INFORMATIK 2020: Back to the Future (Lecture Notes in Informatics), 1327\u20131333. Bonn: Gesellschaft f\u00fcr Informatik. https://doi.org/10.18420/inf2020_124."]}