cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2brm80
title: CCDC 2167652: Experimental Crystal Structure Determination

description: Related Article: Joanna M. Urban, Abdelaziz Jouaiti, Nathalie Gruber, Géraud Delport, Gaëlle Trippé-Allard, Jean-François Guillemoles, Emmanuelle Deleporte, Sylvie Ferlay, Damien Garrot|2022|J.Mater.Chem.C|10|12436|doi:10.1039/D2TC02040H
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.cc2brm91
title: CCDC 2167653: Experimental Crystal Structure Determination

description: Related Article: Joanna M. Urban, Abdelaziz Jouaiti, Nathalie Gruber, Géraud Delport, Gaëlle Trippé-Allard, Jean-François Guillemoles, Emmanuelle Deleporte, Sylvie Ferlay, Damien Garrot|2022|J.Mater.Chem.C|10|12436|doi:10.1039/D2TC02040H
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.cc2brmb2
title: CCDC 2167654: Experimental Crystal Structure Determination

description: Related Article: Joanna M. Urban, Abdelaziz Jouaiti, Nathalie Gruber, Géraud Delport, Gaëlle Trippé-Allard, Jean-François Guillemoles, Emmanuelle Deleporte, Sylvie Ferlay, Damien Garrot|2022|J.Mater.Chem.C|10|12436|doi:10.1039/D2TC02040H
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.cc2bx3bq
title: CCDC 2171963: Experimental Crystal Structure Determination

description: Related Article: Jun Sato, Takuya Oguma, Kenji Yamawaki|2022|J.Org.Chem.|87|11231|doi:10.1021/acs.joc.2c01113
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.cc2bycym
title: CCDC 2173191: Experimental Crystal Structure Determination

description: Related Article: Miguel Á. Baeza Cinco, Guang Wu, Joshua Telser, Trevor W. Hayton|2022|Inorg.Chem.|61|13250|doi:10.1021/acs.inorgchem.2c01765
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.cc2byczn
title: CCDC 2173192: Experimental Crystal Structure Determination

description: Related Article: Miguel Á. Baeza Cinco, Guang Wu, Joshua Telser, Trevor W. Hayton|2022|Inorg.Chem.|61|13250|doi:10.1021/acs.inorgchem.2c01765
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.20775580
title: Annotated data

description: Annotated images
DOI: 10.6084/m9.figshare.20775580.v1
title: Annotated data

description: Annotated images
DOI: 10.6084/m9.figshare.20775475
title: Anolis Data

description: Samples of <em>Anolis sagrei</em> in several sites in Alachua and Seminole counties in Florida. Includes data on infection status (<em>Plasmodium floridense</em>), physiology such as SVL, mass and tail status, as well as blood chemistries including hematology (hematocrit) and electrolytes (sodium, potassium, calcium, chloride, anion gap) and glucose. Coordinates of capture locations can also be found for certain samples. Samples of <em>Anolis gundlachi</em> in the Luquillo Experimental Forest in Puerto Rico. Data include infection status (Plasmodium assemblage - <em>P. azurophilum</em>, <em>P. leukocytica</em>, <em>P. floridense</em>), physiology data including SVL, mass, tail status, as well as relative coordinates of capture location within the forest grid. Coordinates for stream beds coinciding with spatial heterogeneity of infections of <em>Plasmodium floridense</em> in <em>Anolis sagrei</em> at a designated plot in Spring Hammock Preserve.
DOI: 10.34740/kaggle/dsv/4112098
title: Air Accidents from jan2008 to may2022 - ICAO
DOI: 10.25318/9810010001-eng
title: Low-income status by age, census family characteristics and household type : Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Individual low-income status for census family characteristics (in couple, with and without children, one-parent families) by low-income measure (before and after tax) and age.
DOI: 10.25318/9810010001-fra
title: Situation de faible revenu, selon l’âge, les caractéristiques de la famille de recensement et du type de ménage : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Situation de faible revenu des personnes pour les caractéristiques de la famille de recensement et du type de ménage (personnes dans des familles de recensement, nombre d’enfants), selon la mesure de faible revenu (avant et après impôt) et l’âge.
DOI: 10.25318/9810010101-eng
title: Low-income status by economic family characteristics: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Individual low-income status for economic family characteristics (in couple, with and without children, one-parent families) by low-income measure (before and after tax).
DOI: 10.5066/p9risqge
title: Harmonized discrete and continuous water quality data in support of modeling harmful algal blooms in the Illinois River Basin, 2005 - 2020

description: Harmful algal blooms (HABs) are overgrowths of algae or cyanobacteria in water and can be harmful to humans and animals directly via toxin exposure or indirectly via changes in water quality and related impacts to ecosystems services, drinking water characteristics, and recreation. While HABs occur frequently throughout the United States, the driving conditions behind them are not well understood, especially in flowing waters. In order to facilitate future model development and characterization of HABs in the Illinois River Basin, this data release publishes a synthesized and cleaned collection of HABs-related water quality and quantity data for river and stream sites in the basin. It includes nutrients, major ions, sediment, physical [...]
DOI: 10.25318/9810010101-fra
title: Situation de faible revenu, selon les caractéristiques de la famille économique : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Situation de faible revenu des personnes pour les caractéristiques de la famille économique (en couple, avec et sans enfants, familles monoparentales), selon la mesure de faible revenu (avant et après impôt).
DOI: 10.5281/zenodo.6982148
title: Data to accompany dissertation: Geographic, Cultural, and Ecological Correlations with Indigenous Language Vitality in North America

description: Text files: readme_general.txt contains a brief description of files included. readme_modeldata.txt contains a metadata description of model_data.csv. readme_languageslandNorthAmerica.txt contains a metadata description of Languages_land_NorthAmerica.csv. readme_languagerevitalizationdatabase.txt contains a metadata description of Language_revitalization_database.csv. CSV files: Languages_land_NorthAmerica.csv is a version of the Languages of Government-Recognized Native Land Areas in the Continental United States database. It includes data from the US Census 2017 TIGER/Line AIANNH shapefile with one row per Native land area and additional columns for associated information that was coded and calculated for this dissertation as discussed in Section 3.3.1. Language_revitalization_database.csv is the Language Revitalization Database. It contains the master language list used for this dissertation and columns created while coding data for the language revitalization variable, as discussed in Section 3.3.2. model_data.csv contains data for all variables used in the analysis and is the .csv file needed to run LanguageVitalityModels.R. R scripts: LanguageVitalityModels.R is the R script for the main part of the dissertation analysis.
description: This work was supported in part by the Bilinski Dissertation Fellowship and by the Max Planck Institute for the Science of Human History / Evolutionary Anthropology, Department of Linguistic and Cultural Evolution. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. 1329626. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation or other funding organizations.
DOI: 10.5281/zenodo.6982147
title: Data to accompany dissertation: Geographic, Cultural, and Ecological Correlations with Indigenous Language Vitality in North America

description: Text files: readme_general.txt contains a brief description of files included. readme_modeldata.txt contains a metadata description of model_data.csv. readme_languageslandNorthAmerica.txt contains a metadata description of Languages_land_NorthAmerica.csv. readme_languagerevitalizationdatabase.txt contains a metadata description of Language_revitalization_database.csv. CSV files: Languages_land_NorthAmerica.csv is a version of the Languages of Government-Recognized Native Land Areas in the Continental United States database. It includes data from the US Census 2017 TIGER/Line AIANNH shapefile with one row per Native land area and additional columns for associated information that was coded and calculated for this dissertation as discussed in Section 3.3.1. Language_revitalization_database.csv is the Language Revitalization Database. It contains the master language list used for this dissertation and columns created while coding data for the language revitalization variable, as discussed in Section 3.3.2. model_data.csv contains data for all variables used in the analysis and is the .csv file needed to run LanguageVitalityModels.R. R scripts: LanguageVitalityModels.R is the R script for the main part of the dissertation analysis.
description: This work was supported in part by the Bilinski Dissertation Fellowship and by the Max Planck Institute for the Science of Human History / Evolutionary Anthropology, Department of Linguistic and Cultural Evolution. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. 1329626. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation or other funding organizations.
DOI: 10.25318/9810010601-eng
title: Household low-income status by household type: Canada, provinces and territories, census divisions and census subdivisions

description: Household low-income status using low-income measures (before and after tax) by household type (couple, one-parent, with and without children) for Canada, provinces and territories, census divisions and census subdivisions.
DOI: 10.5281/zenodo.7041854
title: Data for the article "Exceptional sign changes of the nonlocal spin Seebeck effect in antiferromagnetic hematite"

description: Data for the article "Exceptional sign changes of the nonlocal spin Seebeck effect in antiferromagnetic hematite"(https://journals.aps.org/prb/abstract/10.1103/PhysRevB.103.224433 and https://arxiv.org/abs/2105.13653)
DOI: 10.5281/zenodo.7041853
title: Data for the article "Exceptional sign changes of the nonlocal spin Seebeck effect in antiferromagnetic hematite"

description: Data for the article "Exceptional sign changes of the nonlocal spin Seebeck effect in antiferromagnetic hematite"(https://journals.aps.org/prb/abstract/10.1103/PhysRevB.103.224433 and https://arxiv.org/abs/2105.13653)
DOI: 10.5519/qd.xea7wovr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1213 records)
DOI: 10.5281/zenodo.7041857
title: Data for the article "Effective strain manipulation of the antiferromagnetic state of polycrystalline NiO"

description: Data for the article "Effective strain manipulation of the antiferromagnetic state of polycrystalline NiO" (https://aip.scitation.org/doi/abs/10.1063/5.0046255 and https://arxiv.org/abs/2105.13653) Barra, Andrew Ross, Olena Gomonay, Lorenzo Baldrati, A Chavez, Romain Lebrun, JD Schneider, Paymon Shirazi, Q Wang, Jairo Sinova, Gregory P Carman, Mathias Kläui
DOI: 10.5281/zenodo.7041856
title: Data for the article "Effective strain manipulation of the antiferromagnetic state of polycrystalline NiO"

description: Data for the article "Effective strain manipulation of the antiferromagnetic state of polycrystalline NiO" (https://aip.scitation.org/doi/abs/10.1063/5.0046255 and https://arxiv.org/abs/2105.13653) Barra, Andrew Ross, Olena Gomonay, Lorenzo Baldrati, A Chavez, Romain Lebrun, JD Schneider, Paymon Shirazi, Q Wang, Jairo Sinova, Gregory P Carman, Mathias Kläui
DOI: 10.25574/58500
title: Chandra X-ray Observatory ObsId 58500
DOI: 10.25574/58502
title: Chandra X-ray Observatory ObsId 58502
DOI: 10.25574/58504
title: Chandra X-ray Observatory ObsId 58504
DOI: 10.25574/58506
title: Chandra X-ray Observatory ObsId 58506
DOI: 10.25574/58508
title: Chandra X-ray Observatory ObsId 58508
DOI: 10.25574/58510
title: Chandra X-ray Observatory ObsId 58510
DOI: 10.25574/58512
title: Chandra X-ray Observatory ObsId 58512
DOI: 10.25574/58513
title: Chandra X-ray Observatory ObsId 58513
DOI: 10.25574/58515
title: Chandra X-ray Observatory ObsId 58515
DOI: 10.25574/58516
title: Chandra X-ray Observatory ObsId 58516
DOI: 10.25574/58518
title: Chandra X-ray Observatory ObsId 58518
DOI: 10.25574/58520
title: Chandra X-ray Observatory ObsId 58520
DOI: 10.25574/58522
title: Chandra X-ray Observatory ObsId 58522
DOI: 10.25574/58523
title: Chandra X-ray Observatory ObsId 58523
DOI: 10.25574/58525
title: Chandra X-ray Observatory ObsId 58525
DOI: 10.25574/58526
title: Chandra X-ray Observatory ObsId 58526
DOI: 10.25574/58528
title: Chandra X-ray Observatory ObsId 58528
DOI: 10.25574/58529
title: Chandra X-ray Observatory ObsId 58529
DOI: 10.25574/58531
title: Chandra X-ray Observatory ObsId 58531
DOI: 10.25574/58532
title: Chandra X-ray Observatory ObsId 58532
DOI: 10.25574/58534
title: Chandra X-ray Observatory ObsId 58534
DOI: 10.25574/58537
title: Chandra X-ray Observatory ObsId 58537
DOI: 10.25574/58540
title: Chandra X-ray Observatory ObsId 58540
DOI: 10.25574/58543
title: Chandra X-ray Observatory ObsId 58543
DOI: 10.25574/58545
title: Chandra X-ray Observatory ObsId 58545
DOI: 10.25574/58546
title: Chandra X-ray Observatory ObsId 58546
DOI: 10.25574/58548
title: Chandra X-ray Observatory ObsId 58548
DOI: 10.25574/58549
title: Chandra X-ray Observatory ObsId 58549
DOI: 10.25574/58551
title: Chandra X-ray Observatory ObsId 58551
DOI: 10.25574/58552
title: Chandra X-ray Observatory ObsId 58552
DOI: 10.25574/58554
title: Chandra X-ray Observatory ObsId 58554
DOI: 10.25574/58555
title: Chandra X-ray Observatory ObsId 58555
DOI: 10.25574/58557
title: Chandra X-ray Observatory ObsId 58557
DOI: 10.25574/58558
title: Chandra X-ray Observatory ObsId 58558
DOI: 10.25574/58560
title: Chandra X-ray Observatory ObsId 58560
DOI: 10.25574/58561
title: Chandra X-ray Observatory ObsId 58561
DOI: 10.25574/58563
title: Chandra X-ray Observatory ObsId 58563
DOI: 10.25574/58566
title: Chandra X-ray Observatory ObsId 58566
DOI: 10.25574/58568
title: Chandra X-ray Observatory ObsId 58568
DOI: 10.25574/58569
title: Chandra X-ray Observatory ObsId 58569
DOI: 10.25574/58571
title: Chandra X-ray Observatory ObsId 58571
DOI: 10.25574/58574
title: Chandra X-ray Observatory ObsId 58574
DOI: 10.25574/58576
title: Chandra X-ray Observatory ObsId 58576
DOI: 10.25574/58578
title: Chandra X-ray Observatory ObsId 58578
DOI: 10.25574/58580
title: Chandra X-ray Observatory ObsId 58580
DOI: 10.25574/58582
title: Chandra X-ray Observatory ObsId 58582
DOI: 10.25574/58584
title: Chandra X-ray Observatory ObsId 58584
DOI: 10.25574/58587
title: Chandra X-ray Observatory ObsId 58587
DOI: 10.25574/58602
title: Chandra X-ray Observatory ObsId 58602
DOI: 10.25574/58605
title: Chandra X-ray Observatory ObsId 58605
DOI: 10.25574/58608
title: Chandra X-ray Observatory ObsId 58608
DOI: 10.25574/58611
title: Chandra X-ray Observatory ObsId 58611
DOI: 10.25574/58615
title: Chandra X-ray Observatory ObsId 58615
DOI: 10.25574/58616
title: Chandra X-ray Observatory ObsId 58616
DOI: 10.25574/58619
title: Chandra X-ray Observatory ObsId 58619
DOI: 10.25574/58620
title: Chandra X-ray Observatory ObsId 58620
DOI: 10.25574/58622
title: Chandra X-ray Observatory ObsId 58622
DOI: 10.25574/58626
title: Chandra X-ray Observatory ObsId 58626
DOI: 10.25574/58629
title: Chandra X-ray Observatory ObsId 58629
DOI: 10.25574/58631
title: Chandra X-ray Observatory ObsId 58631
DOI: 10.25574/58633
title: Chandra X-ray Observatory ObsId 58633
DOI: 10.25574/58636
title: Chandra X-ray Observatory ObsId 58636
DOI: 10.25574/58644
title: Chandra X-ray Observatory ObsId 58644
DOI: 10.25574/58645
title: Chandra X-ray Observatory ObsId 58645
DOI: 10.25574/58648
title: Chandra X-ray Observatory ObsId 58648
DOI: 10.25574/58650
title: Chandra X-ray Observatory ObsId 58650
DOI: 10.25574/58655
title: Chandra X-ray Observatory ObsId 58655
DOI: 10.25574/58657
title: Chandra X-ray Observatory ObsId 58657
DOI: 10.25574/58661
title: Chandra X-ray Observatory ObsId 58661
DOI: 10.5281/zenodo.7041862
title: Data for the article "Magnon transport in the presence of antisymmetric exchange in a weak antiferromagnet"

description: Data for the article "Magnon transport in the presence of antisymmetric exchange in a weak antiferromagnet" (https://www.sciencedirect.com/science/article/abs/pii/S0304885321008714 and https://arxiv.org/ftp/arxiv/papers/2106/2106.12853.pdf)
DOI: 10.5281/zenodo.7041861
title: Data for the article "Magnon transport in the presence of antisymmetric exchange in a weak antiferromagnet"

description: Data for the article "Magnon transport in the presence of antisymmetric exchange in a weak antiferromagnet" (https://www.sciencedirect.com/science/article/abs/pii/S0304885321008714 and https://arxiv.org/ftp/arxiv/papers/2106/2106.12853.pdf)
DOI: 10.6084/m9.figshare.19142180
title: Dataset for 'Analysis of Electron Precipitation and Ionospheric Density Enhancements due to Hiss Using Incoherent Scatter Radar and Arase Observations'

description: This is the dataset for the paper 'Analysis of Electron Precipitation and Ionospheric Density Enhancements due to Hiss Using Incoherent Scatter Radar and Arase Observations', submitted to Journal of Geophysical Research: Space Physics.<br>Plasmaspheric hiss could cause energetic electron precipitation from the magnetosphere to the Earth’s upper atmosphere and affect the ionospheric electron density profiles. In this study, we use Arase satellite measurements in the dayside plasmasphere to model the electron precipitation and the ionospheric electron density enhancements, and compare the results to the electron density measured by Poker Flat Incoherent Scatter Radar (PFISR). We analyzed two close conjunction events between Arase and PFISR at L ~ 6 over the afternoon sector, when Arase was in the outer plasmasphere and travelled into the plasmaspheric plumes, respectively. Modest or strong hiss waves were observed with amplitudes higher than 50 pT during both events. Quasilinear modeling suggests that the hiss waves could cause intense electron precipitation from several keV to several hundred keV energies. The electron density profiles at 60 – 90 km modeled by Boulder Electron Radiation to Ionization (BERI) suggest significant electron density enhancements due to the precipitating electrons. The PFISR also observed electron density enhancements during both events, and provided evidence for the electron precipitation at low altitudes down to &lt; 70 km. The temporal modulation of hiss caused the modulated density profiles in BERI modeling, which is not evident in PFISR observations. The modeled altitude profiles of electron density overall agree with PFISR observation. At altitudes below 75 km, the modeled electron densities are lower than the observation, suggesting additional high energy electron precipitation possibly due to low frequency (&lt; 50 Hz) waves or hiss wave powers ducted to high latitudes.<br>
DOI: 10.6084/m9.figshare.19142180.v2
title: Dataset for 'Analysis of Electron Precipitation and Ionospheric Density Enhancements due to Hiss Using Incoherent Scatter Radar and Arase Observations'

description: This is the dataset for the paper 'Analysis of Electron Precipitation and Ionospheric Density Enhancements due to Hiss Using Incoherent Scatter Radar and Arase Observations', submitted to Journal of Geophysical Research: Space Physics.<br>Plasmaspheric hiss could cause energetic electron precipitation from the magnetosphere to the Earth’s upper atmosphere and affect the ionospheric electron density profiles. In this study, we use Arase satellite measurements in the dayside plasmasphere to model the electron precipitation and the ionospheric electron density enhancements, and compare the results to the electron density measured by Poker Flat Incoherent Scatter Radar (PFISR). We analyzed two close conjunction events between Arase and PFISR at L ~ 6 over the afternoon sector, when Arase was in the outer plasmasphere and travelled into the plasmaspheric plumes, respectively. Modest or strong hiss waves were observed with amplitudes higher than 50 pT during both events. Quasilinear modeling suggests that the hiss waves could cause intense electron precipitation from several keV to several hundred keV energies. The electron density profiles at 60 – 90 km modeled by Boulder Electron Radiation to Ionization (BERI) suggest significant electron density enhancements due to the precipitating electrons. The PFISR also observed electron density enhancements during both events, and provided evidence for the electron precipitation at low altitudes down to &lt; 70 km. The temporal modulation of hiss caused the modulated density profiles in BERI modeling, which is not evident in PFISR observations. The modeled altitude profiles of electron density overall agree with PFISR observation. At altitudes below 75 km, the modeled electron densities are lower than the observation, suggesting additional high energy electron precipitation possibly due to low frequency (&lt; 50 Hz) waves or hiss wave powers ducted to high latitudes.<br>
DOI: 10.25574/58663
title: Chandra X-ray Observatory ObsId 58663
DOI: 10.25574/58664
title: Chandra X-ray Observatory ObsId 58664
DOI: 10.25574/58666
title: Chandra X-ray Observatory ObsId 58666
DOI: 10.25574/58667
title: Chandra X-ray Observatory ObsId 58667
DOI: 10.25574/58669
title: Chandra X-ray Observatory ObsId 58669
DOI: 10.25574/58678
title: Chandra X-ray Observatory ObsId 58678
DOI: 10.25574/58690
title: Chandra X-ray Observatory ObsId 58690