cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21258183
title: Patterns of malaria transmission in Loreto and opportunities for malaria elimination in Peru

description: Dataset of the study "Patterns of malaria transmission in Loreto and opportunities for malaria elimination in Peru"
DOI: 10.5517/ccdc.csd.cc2d61vj
title: CCDC 2210357: Experimental Crystal Structure Determination

description: Related Article: Manish Sharma, Hari Om|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21258198
title: National vs. Oklahoma Public Library Materials Expenditures, 2006-2020 [Data set]

description: This dataset contains aggregated data for fiscal years 2006-2020 from the Institute of Museum and Library Services' annual public library survey. This transformed version of the data contains aggregated data by material type for all public libraries in the nation, as well as an additional subset of the data for aggregated data by material type for Oklahoma's public libraries. Column headers include: Year, Print Materials, Electronic Materials, Other Materials, and Total. Material categories represent: material expenditures for physical materials (books, current serial subscriptions, government documents, and any other print acquisitions), electronic materials (ebooks, e-serials, government documents, databases, electronic files, reference tools, scores, maps, or pictures, including materials digitized by the library), and other materials (microform, audio, video, DVD, and new formats). These values were directly pulled from corresponding datasets for each public library from the PRMATEXP, ELMATEXP, and OTHMATEX columns, representing physical, electronic, and other material expenditures, respectively. Negative and zero values (-3, -1, 0) were excluded from categorical tallies, with -3 values representing closed or temporarily closed administrative entities. No explanation for -1 or 0 values was present in IMLS documentation. Valued were tallied by column after negative and zero values were excluded, with final tallies for each data column included in the attached dataset. Lastly, annually tallied were summed by each year in both National and State datasets. Two sets of the data are available: One set with two tabs (one each for National and State spending) in an Excel format, and two separate files (one each for National and State spending) in a CSV format. Link to dataset in Harvard Dataverse: https://doi.org/10.7910/DVN/5ANJTD
DOI: 10.6084/m9.figshare.21258198.v1
title: National vs. Oklahoma Public Library Materials Expenditures, 2006-2020 [Data set]

description: This dataset contains aggregated data for fiscal years 2006-2020 from the Institute of Museum and Library Services' annual public library survey. This transformed version of the data contains aggregated data by material type for all public libraries in the nation, as well as an additional subset of the data for aggregated data by material type for Oklahoma's public libraries. Column headers include: Year, Print Materials, Electronic Materials, Other Materials, and Total. Material categories represent: material expenditures for physical materials (books, current serial subscriptions, government documents, and any other print acquisitions), electronic materials (ebooks, e-serials, government documents, databases, electronic files, reference tools, scores, maps, or pictures, including materials digitized by the library), and other materials (microform, audio, video, DVD, and new formats). These values were directly pulled from corresponding datasets for each public library from the PRMATEXP, ELMATEXP, and OTHMATEX columns, representing physical, electronic, and other material expenditures, respectively. Negative and zero values (-3, -1, 0) were excluded from categorical tallies, with -3 values representing closed or temporarily closed administrative entities. No explanation for -1 or 0 values was present in IMLS documentation. Valued were tallied by column after negative and zero values were excluded, with final tallies for each data column included in the attached dataset. Lastly, annually tallied were summed by each year in both National and State datasets. Two sets of the data are available: One set with two tabs (one each for National and State spending) in an Excel format, and two separate files (one each for National and State spending) in a CSV format. Link to dataset in Harvard Dataverse: https://doi.org/10.7910/DVN/5ANJTD
DOI: 10.34740/kaggle/dsv/4272815
title: GamerGate Political Attitudes
DOI: 10.34740/kaggle/dsv/4272867
title: OntoUML/UFO Catalog
DOI: 10.34740/kaggle/dsv/4272879
title: BBC News
DOI: 10.6084/m9.figshare.21258261.v1
title: Supplementary Data.xlsx

description: Supplementary Data for manuscriopt ' Himalayan zircons resurface in Sumatran arc volcanism through sediment recycling'
DOI: 10.6084/m9.figshare.21258261
title: Supplementary Data for 'Himalayan zircons resurface in Sumatran arc volcanism through sediment recycling'

description: Supplementary Data 1 to 5 for manuscriopt 'Himalayan zircons resurface in Sumatran arc volcanism through sediment recycling'
DOI: 10.6084/m9.figshare.21258261.v2
title: Supplementary Data.xlsx

description: Supplementary Data for manuscriopt ' Himalayan zircons resurface in Sumatran arc volcanism through sediment recycling'
DOI: 10.25439/rmt.15001230.v4
title: The Australian National Liveability Study 2018 datasets: spatial urban liveability indicators for 21 cities

description: The final Australian National Liveability Study 2018 datasets comprise a suite of policy relevant spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points across Australia's 21 largest cities, and summarised at range of larger area scales (Mesh Block, Statistical Areas 1-4, Suburb, LGA, and overall city summaries). The indicators and measures included encompass topics including community and health services, employment, food, housing, public open space, transportation, walkability and overall liveability. The datasets were produced through analysis of built environment and social data from multiple sources including OpenStreetMap the Australian Bureau of Statistics, and public transport agency GTFS feed data. These are provided in CSV format under an Open Data Commons Open Database licence. The 2018 Australian National Liveability data will be of interest to planners, population health and urban researchers with an interest in the spatial distribution of built environment exposures and outcomes for data linkage, modelling and mapping purposes. Area level summaries for the data were used to create the indicators for the Australian Urban Observatory at its launch in 2020. The spatial data were developed by the Healthy Liveable Cities Lab, Centre for Urban Research with funding support provided from the Australian Prevention Partnership Centre #9100003, NESP Clean Air and Urban Landscapes Hub, NHMRC Centre of Research Excellence in Healthy, Liveable Communities #1061404 and an NHMRC Senior Principal Research Fellowship GNT1107672; with interactive spatial indicator maps accessible via the Australian Urban Observatory. Any publications utilising the data are not necessarily the view of or endorsed by RMIT University or the Centre of Urban Research. RMIT excludes all liability for any reliance on the data.<br>
DOI: 10.5281/zenodo.7133928
title: Monsoon-regulated marine carbon reservoir effect in the northern South China Sea

description: ΔR result from east of Hainan Island and Xisha Island, South China Sea
DOI: 10.5281/zenodo.7133927
title: Monsoon-regulated marine carbon reservoir effect in the northern South China Sea

description: ΔR result from east of Hainan Island and Xisha Island, South China Sea
DOI: 10.34740/kaggle/dsv/4273055
title: Russian Invasion of Ukraine
DOI: 10.6084/m9.figshare.21258357.v1
title: Frontiers_table2(review 2 V1).pdf

description: Supplemetary table 2
DOI: 10.6084/m9.figshare.21258357
title: Frontiers_table2(review 2 V1).pdf

description: Supplemetary table 2
DOI: 10.6084/m9.figshare.20731900.v1
title: Supplementary_Material-revised

description: The Supplementary material-revised and Appendix document of the article "Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade multispectral Unmanned Aerial Vehicles imagery"
DOI: 10.6084/m9.figshare.21258363
title: Desmodium ovalifolium 1.extendedFrags.fastq

description: The soil 16S data of Litchi orchards intercropping with <em>Desmodium ovalifolium, Grona heterocarpos</em>, and <em>Stylosanthes guianensis.</em>
DOI: 10.5517/ccdc.csd.cc2bt039
title: CCDC 2168980: Experimental Crystal Structure Determination

description: Related Article: Maia E. Czaikowski, Andrew J. McNeece, Jan-Niklas Boyn, Kate A. Jesse, Sophie W. Anferov, Alexander S. Filatov, David A. Mazziotti, John S. Anderson|2022|J.Am.Chem.Soc.|144|15569|doi:10.1021/jacs.2c04630
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.cc2bt04b
title: CCDC 2168981: Experimental Crystal Structure Determination

description: Related Article: Maia E. Czaikowski, Andrew J. McNeece, Jan-Niklas Boyn, Kate A. Jesse, Sophie W. Anferov, Alexander S. Filatov, David A. Mazziotti, John S. Anderson|2022|J.Am.Chem.Soc.|144|15569|doi:10.1021/jacs.2c04630
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.cc2c19sj
title: CCDC 2176007: Experimental Crystal Structure Determination

description: Related Article: Aileen Sauermoser, Thomas Lainer, Gabriel Glotz, Frank Czerny, Bettina Schweda, Roland C. Fischer, Michael Haas|2022|Inorg.Chem.|61|14742|doi:10.1021/acs.inorgchem.2c02112
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.cc2c19tk
title: CCDC 2176008: Experimental Crystal Structure Determination

description: Related Article: Aileen Sauermoser, Thomas Lainer, Gabriel Glotz, Frank Czerny, Bettina Schweda, Roland C. Fischer, Michael Haas|2022|Inorg.Chem.|61|14742|doi:10.1021/acs.inorgchem.2c02112
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.cc2c19vl
title: CCDC 2176009: Experimental Crystal Structure Determination

description: Related Article: Aileen Sauermoser, Thomas Lainer, Gabriel Glotz, Frank Czerny, Bettina Schweda, Roland C. Fischer, Michael Haas|2022|Inorg.Chem.|61|14742|doi:10.1021/acs.inorgchem.2c02112
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.cc2c19wm
title: CCDC 2176010: Experimental Crystal Structure Determination

description: Related Article: Aileen Sauermoser, Thomas Lainer, Gabriel Glotz, Frank Czerny, Bettina Schweda, Roland C. Fischer, Michael Haas|2022|Inorg.Chem.|61|14742|doi:10.1021/acs.inorgchem.2c02112
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: 10.15151/esrf-es-874760419
title: IBS BAG

description: The IBS BAG includes in this proposal IBS teams and external groups from iRTSV/CEA (Grenoble), CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study structure-function relationships of proteins emphasizing in human health, biotechnology and methodology. Most of the projects are a continuation of the MX-2329 proposal and can be grouped in different topics as follows: host-pathogen interaction, new drug targets, fundamental cellular mechanisms, membrane proteins, intrinsically disordered proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, SAXS, NMR (and cryo-EM), together with other biophysical studies) with the aim to fully understand the complexity of the biological macromolecular systems on study. Some teams are dedicated to serial crystallography and its developments, for which the ESRF-EBS has become the perfect tool.
DOI: 10.15151/esrf-es-883956789
title: Austrian Crystallographic Diffraction Consortium

description: This proposed Austrian Crystallographic.... TO BE FILLED IN
DOI: 10.15151/esrf-es-885252166
title: Munich Crystallography BAG

description: The diverse groups of the Munich Crystallography BAG study a far range of subjects, reaching from structural aspects of fundamental cellular processes - such as RNA processing, protein folding and degradation, DNA repair, chromatin remodelling, enzymes - to the design of foldamers. The research groups are located at the LMU and TUM universities in Munich, at the Max-Planck-Institute of Biochemistry, Martinsried, and the Helmholtz Center, Neuherberg. Out-groups are located at the universities in Darmstadt and Ulm, Germany. The research groups use X-ray crystallography, single-particle cryo-EM, SAXS, NMR, Alphafold and HDX and XL-MS mass-spectrometry for structural studies.
DOI: 10.15151/esrf-es-944088717
title: Probing fast electrochemical processes using in situ x-ray diffraction

description: Our goal is to monitor lattice constant variation of Pt nanoparticles as a function of electrochemical potential in a fast regime (~10-20 kHz). We will monitor the evolution of the Bragg peaks as a function of potentials steps or by cycle the potentials (scan rate between 1 V/S 10V/s). The experiment will be performed either in the well established ID31 fuel cell, and/or in the ID31 liquid cell for grazing incidence diffraction.
DOI: 10.15151/esrf-es-897721896
title: Metal Organic Frameworks for water harvesting from air: an operando structural and electronic characterization

description: Life depends on water, and it is estimated that by 2050 nearly half of the world population will live in water stressed regions. Metal Organic Frameworks (MOFs) offer high potential for the environmentally friendly passive capture of clean water from humid air. However, a detailed mechanistic, structural, and electronic understanding of the dynamic adsorption-desorption process is lacking. Here, we propose a combined in situ hard-X-ray XAS/XRD study targeting metal sites to investigate the electronic and crystal structure modifications during water adsorption and desorption in prototypical water harvesting MOF systems with and without open metal centres. We expect our spectroscopic results to unveil the stages of water capture by selected MOFs with unprecedented structural detail, in combination with parallel soft-XAS studies, thereby paving the way for the rational design of improved MOF water harvesting systems.
DOI: 10.5281/zenodo.7133965
title: Marine_Zhoushan_Data

description: The data was collected on November 15, 2021 in the marine environment of Zhoushan City, Zhejiang Province. The GNSS adopts a CHCNAV P5 receiver, with a sampling frequency of 1Hz. SINS uses NovAtel SPAN-ISA-100C optical fiber strapdown inertial navigation, and the sampling frequency of 200Hz.
description: Marine
DOI: 10.5281/zenodo.7133964
title: Marine_Zhoushan_Data

description: The data was collected on November 15, 2021 in the marine environment of Zhoushan City, Zhejiang Province. The GNSS adopts a CHCNAV P5 receiver, with a sampling frequency of 1Hz. SINS uses NovAtel SPAN-ISA-100C optical fiber strapdown inertial navigation, and the sampling frequency of 200Hz.
description: Marine
DOI: 10.6084/m9.figshare.21258414
title: Individualized requirement-driven multi-task scheduling in cloud manufacturing using an extended multifactorial evolutionary algorithm

description: This is the experimental data of the manuscript entitled "Individualized requirement-driven multi-task scheduling in cloud manufacturing using an extended multifactorial evolutionary algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are ten instances for these experiments, which cover multiple scales. Three attributes including time, cost, and reliability of servies for achieving corresponding subtasks are shown in datasets.
DOI: 10.6084/m9.figshare.21258414.v1
title: Individualized requirement-driven multi-task scheduling in cloud manufacturing using an extended multifactorial evolutionary algorithm

description: This is the experimental data of the manuscript entitled "Individualized requirement-driven multi-task scheduling in cloud manufacturing using an extended multifactorial evolutionary algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are ten instances for these experiments, which cover multiple scales. Three attributes including time, cost, and reliability of servies for achieving corresponding subtasks are shown in datasets.
DOI: 10.5517/ccdc.csd.cc2c19xn
title: CCDC 2176011: Experimental Crystal Structure Determination

description: Related Article: Aileen Sauermoser, Thomas Lainer, Gabriel Glotz, Frank Czerny, Bettina Schweda, Roland C. Fischer, Michael Haas|2022|Inorg.Chem.|61|14742|doi:10.1021/acs.inorgchem.2c02112
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.cc2c19yp
title: CCDC 2176012: Experimental Crystal Structure Determination

description: Related Article: Aileen Sauermoser, Thomas Lainer, Gabriel Glotz, Frank Czerny, Bettina Schweda, Roland C. Fischer, Michael Haas|2022|Inorg.Chem.|61|14742|doi:10.1021/acs.inorgchem.2c02112
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.cc2bz7vf
title: CCDC 2174025: Experimental Crystal Structure Determination

description: Related Article: Jin Zhu, Yidong Wang, Aaron D. Charlack, Yi-Ming Wang|2022|J.Am.Chem.Soc.|144|15480|doi:10.1021/jacs.2c07297
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.cc2bz7xh
title: CCDC 2174027: Experimental Crystal Structure Determination

description: Related Article: Jin Zhu, Yidong Wang, Aaron D. Charlack, Yi-Ming Wang|2022|J.Am.Chem.Soc.|144|15480|doi:10.1021/jacs.2c07297
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.cc2bkc4f
title: CCDC 2161634: Experimental Crystal Structure Determination

description: Related Article: Jian-Hua Qin, Zhi Xiao, Peng Xu, Zhi-Hua Li, Xiaoyan Lu, Xiao-Gang Yang, Weiwei Lu, Lu-Fang Ma, Dong-Sheng Li|2022|Inorg.Chem.|61|13234|doi:10.1021/acs.inorgchem.2c01517
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.cc2cjw4y
title: CCDC 2190960: Experimental Crystal Structure Determination

description: Related Article: Keita Sato, Takashi Komuro, Tomohiro Osawa, Hisako Hashimoto, Hiromi Tobita|2022|Organometallics|41|2612|doi:10.1021/acs.organomet.2c00373
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.cc2cjw5z
title: CCDC 2190961: Experimental Crystal Structure Determination

description: Related Article: Keita Sato, Takashi Komuro, Tomohiro Osawa, Hisako Hashimoto, Hiromi Tobita|2022|Organometallics|41|2612|doi:10.1021/acs.organomet.2c00373
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.cc2cjw60
title: CCDC 2190962: Experimental Crystal Structure Determination

description: Related Article: Keita Sato, Takashi Komuro, Tomohiro Osawa, Hisako Hashimoto, Hiromi Tobita|2022|Organometallics|41|2612|doi:10.1021/acs.organomet.2c00373
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.