cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc13l5wr
title: CCDC 1030374: Experimental Crystal Structure Determination

description: Related Article: Ish Kumar, Phil Andrews, Kenton H. Whitmire|2015|Eur.J.Inorg.Chem.|2015|605|doi:10.1002/ejic.201403019
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/cc13vq1q
title: CCDC 1038563: Experimental Crystal Structure Determination

description: Related Article: Basi V. Subba Reddy, Suresh Yarlagadda, C. Ravikumar Reddy, M. Rajashekhar Reddy, Balasubramanyan Sridhar, Dayaka Satyanarayana, Bharatam Jagadeesh|2015|Eur.J.Org.Chem.|2015|3076|doi:10.1002/ejoc.201500215
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/cc13l5vq
title: CCDC 1030373: Experimental Crystal Structure Determination

description: Related Article: Ish Kumar, Phil Andrews, Kenton H. Whitmire|2015|Eur.J.Inorg.Chem.|2015|605|doi:10.1002/ejic.201403019
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/cc13vqrf
title: CCDC 1038585: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Bredikhin, Dmitry V. Zakharychev, Robert R. Fayzullin, Zemfira A. Bredikhina, Aidar T. Gubaidullin|2015|J.Mol.Struct.|1088|111|doi:10.1016/j.molstruc.2015.02.033
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.cc13vqzn
title: CCDC 1038592: Experimental Crystal Structure Determination

description: Related Article: Gavin W. Roffe, Graham J. Tizzard, Simon J. Coles, Hazel Cox, John Spencer|2016|Org.Chem.Front.|3|957|doi:10.1039/C6QO00198J
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.cc13vr0q
title: CCDC 1038593: Experimental Crystal Structure Determination

description: Related Article: Gavin W. Roffe, Graham J. Tizzard, Simon J. Coles, Hazel Cox, John Spencer|2016|Org.Chem.Front.|3|957|doi:10.1039/C6QO00198J
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.cc13vr1r
title: CCDC 1038594: Experimental Crystal Structure Determination

description: Related Article: Gavin W. Roffe, Graham J. Tizzard, Simon J. Coles, Hazel Cox, John Spencer|2016|Org.Chem.Front.|3|957|doi:10.1039/C6QO00198J
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/cc13vr6x
title: CCDC 1038599: Experimental Crystal Structure Determination

description: Related Article: Grzegorz Mlostoń, Paulina Grzelak, Maciej Mikina, Anthony Linden and Heinz Heimgartner|2015|Beilstein J.Org.Chem.|11|576|doi:10.3762/bjoc.11.63
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/cc13vr7y
title: CCDC 1038600: Experimental Crystal Structure Determination

description: Related Article: Grzegorz Mlostoń, Paulina Grzelak, Maciej Mikina, Anthony Linden and Heinz Heimgartner|2015|Beilstein J.Org.Chem.|11|576|doi:10.3762/bjoc.11.63
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/cc13vrj7
title: CCDC 1038609: Experimental Crystal Structure Determination

description: Related Article: Maia Merlani, Yasuhito Koyama, Hiroyasu Sato, Li Geng, Vakhtang Barbakadze, Bezhan Chankvetadze, Tamaki Nakano|2015|Polym.Chem.|6|1932|doi:10.1039/C4PY01711K
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/cc13vrk8
title: CCDC 1038610: Experimental Crystal Structure Determination

description: Related Article: Maia Merlani, Yasuhito Koyama, Hiroyasu Sato, Li Geng, Vakhtang Barbakadze, Bezhan Chankvetadze, Tamaki Nakano|2015|Polym.Chem.|6|1932|doi:10.1039/C4PY01711K
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/cc13vrmb
title: CCDC 1038612: Experimental Crystal Structure Determination

description: Related Article: Mariana Sardo, Sérgio M. Santos, Artem A. Babaryk, Concepción López, Ibon Alkorta, José Elguero, Rosa M. Claramunt, Luís Mafra|2015|Solid State Nucl.Magn.Reson.|65|49|doi:10.1016/j.ssnmr.2014.12.005
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/cc13vs5x
title: CCDC 1038629: Experimental Crystal Structure Determination

description: Related Article: Laura Hoffmeister, Tsutomu Fukuda, Gerit Pototschnig, Alois Fürstner|2015|Chem.-Eur.J.|21|4529|doi:10.1002/chem.201500437
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/cc13vs0r
title: CCDC 1038624: Experimental Crystal Structure Determination

description: Related Article: Sven H. Zottnick, Jens R. Sorg, Jan A. P. Sprenger, Maik Finze, Klaus Müller-Buschbaum|2015|Z.Anorg.Allg.Chem.|641|164|doi:10.1002/zaac.201400498
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/cc13vs1s
title: CCDC 1038625: Experimental Crystal Structure Determination

description: Related Article: Boris A. Zakharov, Nikolay A. Tumanov, Elena V. Boldyreva|2015|CrystEngComm|17|2074|doi:10.1039/C4CE02550D
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/cc13vs2t
title: CCDC 1038626: Experimental Crystal Structure Determination

description: Related Article: Boris A. Zakharov, Nikolay A. Tumanov, Elena V. Boldyreva|2015|CrystEngComm|17|2074|doi:10.1039/C4CE02550D
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/cc13vs3v
title: CCDC 1038627: Experimental Crystal Structure Determination

description: Related Article: Boris A. Zakharov, Nikolay A. Tumanov, Elena V. Boldyreva|2015|CrystEngComm|17|2074|doi:10.1039/C4CE02550D
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/cc13vs4w
title: CCDC 1038628: Experimental Crystal Structure Determination

description: Related Article: Boris A. Zakharov, Nikolay A. Tumanov, Elena V. Boldyreva|2015|CrystEngComm|17|2074|doi:10.1039/C4CE02550D
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/cc13vs6y
title: CCDC 1038630: Experimental Crystal Structure Determination

description: Related Article: Johannes Kreutzer, Michael Puchberger, Christine Artner, Ulrich Schubert|2015|Eur.J.Inorg.Chem.|2015|2145|doi:10.1002/ejic.201403209
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/cc13vs7z
title: CCDC 1038631: Experimental Crystal Structure Determination

description: Related Article: Xiao-Jun Li, Meng Li, Wei Yao, Hai-Yan Lu, YongSheng Zhao, Chuan-Feng Chen|2015|RSC Advances|5|18609|doi:10.1039/C4RA17112H
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/cc13vsc3
title: CCDC 1038635: Experimental Crystal Structure Determination

description: Related Article: G.X.Zhou, Y.H.Wang, Hua Xia|2015|Koord.Khim.|41|701|doi:10.1134/S1070328415100103
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.cc13vsf5
title: CCDC 1038637: Experimental Crystal Structure Determination

description: Related Article: O.A.Lodochnikova, R.M.Khakimov, L.Z.Latypova, A.R.Kurbangalieva, I.A.Litvinov|2015|Izv.Akad.Nauk SSSR,Ser.Khim.|64|2444|doi:10.1007/s11172-015-1176-z
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.cc13vsg6
title: CCDC 1038638: Experimental Crystal Structure Determination

description: Related Article: O.A.Lodochnikova, R.M.Khakimov, L.Z.Latypova, A.R.Kurbangalieva, I.A.Litvinov|2015|Izv.Akad.Nauk SSSR,Ser.Khim.|64|2444|doi:10.1007/s11172-015-1176-z
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.cc13vsh7
title: CCDC 1038639: Experimental Crystal Structure Determination

description: Related Article: O.A.Lodochnikova, R.M.Khakimov, L.Z.Latypova, A.R.Kurbangalieva, I.A.Litvinov|2015|Izv.Akad.Nauk SSSR,Ser.Khim.|64|2444|doi:10.1007/s11172-015-1176-z
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: 10.15468/dl.r3z6t6
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Falspleuroxia"
 ]
}

 The dataset includes 66 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051426-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10491374
title: UFLUX 100m daily photosynthesis fluxes in northeastern UK 2020

description: UFLUX Ensemble UK100mdaily (UK 100 Daily) in northeastern UK 2020

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using machine learning models. It integrates satellite-based Sentinel-1 backscatters and Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. It  includes five core flux components:





Gross Primary Production (GPP) [open access]




Ecosystem Respiration (RECO) [in progress]




Net Ecosystem Exchange (NEE) [in progress]




Sensible Heat Flux (H) [in progress]




Latent Energy Flux (LE) [in progress]



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266
DOI: 10.5281/zenodo.10491373
title: UFLUX 100m daily photosynthesis fluxes in northeastern UK 2020

description: UFLUX Ensemble UK100mdaily (UK 100 Daily) in northeastern UK 2020

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using machine learning models. It integrates satellite-based Sentinel-1 backscatters and Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. It  includes five core flux components:





Gross Primary Production (GPP) [open access]




Ecosystem Respiration (RECO) [in progress]




Net Ecosystem Exchange (NEE) [in progress]




Sensible Heat Flux (H) [in progress]




Latent Energy Flux (LE) [in progress]



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266
DOI: 10.3886/icpsr03516.v1
title: School District Geographic Reference File, 1973-1974
title: Version 1

description: The geographic cross-reference files have been created to
 allow the user to prepare additional data summaries relevant to school
 districts. Another use for the geographic cross-reference files is to
 provide the ability to equate detailed record files having school
 district codes with census geographic units. This capability could be
 used to relate administrative record summaries with census geographic
 data. This data collection is the most current georeference file for
 the years 1973-1974. While it does not include all United States
 geography, it can be used to link district data with data available by
 other census areas. Variables include state, county, minor civil
 division (MCD), MCD-place, census tract, block group, enumeration
 district (ED), population of block group, school district code, school
 district type, percentage of population in school district, place
 description, congressional district, school district name, grade
 range, standard metropolitan statistical area (SMSA), and government
ID code.
description: Datasets: 
DS1: School District Geographic Reference File, 1973-1974
description: All persons and housing units in the United States.
description: The codebook and data collection instrument are
 provided as a Portable Document Format (PDF) file. The PDF file format
 was developed by Adobe Systems Incorporated and can be accessed using
 PDF reader software, such as the Adobe Acrobat Reader. Information on
 how to obtain a copy of the Acrobat Reader is provided on the ICPSR
Web site.