cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7652423
title: SuperDARN Grid data in netCDF format (2001-May)

description: 2001-May SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652424
title: SuperDARN Grid data in netCDF format (2001-May)

description: 2001-May SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652463
title: SuperDARN Grid data in netCDF format (2001-Jan)

description: 2001-Jan SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652464
title: SuperDARN Grid data in netCDF format (2001-Jan)

description: 2001-Jan SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652452
title: SuperDARN Grid data in netCDF format (2001-Feb)

description: 2001-Feb SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652451
title: SuperDARN Grid data in netCDF format (2001-Feb)

description: 2001-Feb SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652425
title: SuperDARN Grid data in netCDF format (2001-Apr)

description: 2001-Apr SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7652426
title: SuperDARN Grid data in netCDF format (2001-Apr)

description: 2001-Apr SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.34740/kaggle/ds/2277577
title: Corporate Credit Rating with Financial Ratios
DOI: 10.5281/zenodo.7675526
title: [IO Islamic 9] مثنوی معنوی

description: <strong>Mathnawî-i-Ma’nawî.</strong> <strong>This manuscript is now IO Islamic 1075 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 9 here with notations and hyperlinks].</strong> 1075 The same. All the prefaces are complete in this copy. Daftar I, on fol. 1<sup>b</sup>; II, on fol. 51<sup>b</sup>; III, on fol. 96<sup>b</sup>; IV, on fol. 152<sup>b</sup> (beginning of the preface: الحمد لله حقّ حمده و الصلوة و السّلام على خلقه الخ, see No. 1062 above); V, on fol. 198<sup>b</sup>; VI, on fol. 250<sup>b</sup>. No date. Occasionally various readings and additions on the margin. No. 9, ff. 308, 4 coll., each ll. 25; Nasta’lîḳ; each daftar and each preface headed by an illuminated frontispiece; the first two pages of each daftar richly ornamented; size, 14<sup>1/8</sup> in. by 8<sup>7/8</sup> in.
DOI: 10.5281/zenodo.7675525
title: [IO Islamic 9] مثنوی معنوی

description: <strong>Mathnawî-i-Ma’nawî.</strong> <strong>This manuscript is now IO Islamic 1075 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 9 here with notations and hyperlinks].</strong> 1075 The same. All the prefaces are complete in this copy. Daftar I, on fol. 1<sup>b</sup>; II, on fol. 51<sup>b</sup>; III, on fol. 96<sup>b</sup>; IV, on fol. 152<sup>b</sup> (beginning of the preface: الحمد لله حقّ حمده و الصلوة و السّلام على خلقه الخ, see No. 1062 above); V, on fol. 198<sup>b</sup>; VI, on fol. 250<sup>b</sup>. No date. Occasionally various readings and additions on the margin. No. 9, ff. 308, 4 coll., each ll. 25; Nasta’lîḳ; each daftar and each preface headed by an illuminated frontispiece; the first two pages of each daftar richly ornamented; size, 14<sup>1/8</sup> in. by 8<sup>7/8</sup> in.
DOI: 10.21415/t5w899
title: CHILDES Spanish Jackson/Thal Corpus
DOI: 10.5281/zenodo.7675523
title: Harvey-Lab-UW/Morris_etal_2023_Ecosystems: Release of data for Morris et al. 2023 Ecosystems

description: This is the latest release of data for reproducing the analyses in the manuscript 'Fuel profiles and biomass carbon following bark beetle outbreaks: Insights for disturbance interactions from a historical silvicultural experiment' by Morris, Buonanduci, Agne, Battaglia, Donato, and Harvey published in Ecosystems. <em>See the main text of the manuscript for complete descriptions of data collection and processing.</em> This information is licensed under a Creative Commons Attribution 4.0 International License. Any user of these data ("User" hereafter) is required to cite it appropriately in any publication that results from its use. These data may be actively used by others for ongoing research, so coordination may be necessary to prevent duplicate publication. The User is urged to contact the authors of these data for questions about methodology or results. The User is encouraged to consider collaboration or co-authorship with authors where appropriate. Misinterpretation of data may occur if used out of context of the original study. Substantial efforts are made to ensure accuracy of the data and documentation, however complete accuracy of data sets cannot be guaranteed. All data are made available as is. Data may be updated periodically and it is the responsibility of the User to check for new versions of the data. The authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.
DOI: 10.5281/zenodo.7675524
title: Harvey-Lab-UW/Morris_etal_2023_Ecosystems: Release of data for Morris et al. 2023 Ecosystems

description: This is the latest release of data for reproducing the analyses in the manuscript 'Fuel profiles and biomass carbon following bark beetle outbreaks: Insights for disturbance interactions from a historical silvicultural experiment' by Morris, Buonanduci, Agne, Battaglia, Donato, and Harvey published in Ecosystems. <em>See the main text of the manuscript for complete descriptions of data collection and processing.</em> This information is licensed under a Creative Commons Attribution 4.0 International License. Any user of these data ("User" hereafter) is required to cite it appropriately in any publication that results from its use. These data may be actively used by others for ongoing research, so coordination may be necessary to prevent duplicate publication. The User is urged to contact the authors of these data for questions about methodology or results. The User is encouraged to consider collaboration or co-authorship with authors where appropriate. Misinterpretation of data may occur if used out of context of the original study. Substantial efforts are made to ensure accuracy of the data and documentation, however complete accuracy of data sets cannot be guaranteed. All data are made available as is. Data may be updated periodically and it is the responsibility of the User to check for new versions of the data. The authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.
DOI: 10.3886/e184546v1
title: Supplemental Data for: Intergenerational Mobility in American History: Accounting for Race and Measurement Error

description: These are the PSID files used for the manuscript "Intergenerational Mobility in American History: Accounting for Race and Measurement Error."<br> See https://doi.org/10.3886/E184542V1<br><br>To reproduce the analysis in that paper with the PSID files, they must be placed in the folder "build/input/PSID"
DOI: 10.5281/zenodo.7675562
title: Dataset for: Supplementation of seasonal natural resources with year-round anthropogenic resources by coyotes in natural fragments within a high-density urban area.

description: Dataset for: Supplementation of seasonal natural resources with year-round anthropogenic resources by coyotes in natural fragments within a high-density urban area. (Pending publication in Wildlife Biology as of 02/24/2023)
DOI: 10.5281/zenodo.7675561
title: Dataset for: Supplementation of seasonal natural resources with year-round anthropogenic resources by coyotes in natural fragments within a high-density urban area.

description: Dataset for: Supplementation of seasonal natural resources with year-round anthropogenic resources by coyotes in natural fragments within a high-density urban area. (Pending publication in Wildlife Biology as of 02/24/2023)
DOI: 10.6084/m9.figshare.21130249
title: Original data.xlsx

description: A total of 182 patients undergoing revision after hip or knee arthroplasty were included and divided into two groups, 64 patients in the PJI group and 118 patients in the non-PJI group. The blood markers included liver function related markers (including AGR and GLB), inflammatory markers (including ESR, CRP, and PCT), coagulation-related markers (including D-dimer, FIB, and FDP), and blood cell-related markers (including white blood cell (WBC), platelet (PLT), plateletocrit (Pct), and mean platelet volume (MPV)).
DOI: 10.6084/m9.figshare.21130249.v2
title: Original data.xlsx

description: A total of 182 patients undergoing revision after hip or knee arthroplasty were included and divided into two groups, 64 patients in the PJI group and 118 patients in the non-PJI group. The blood markers included liver function related markers (including AGR and GLB), inflammatory markers (including ESR, CRP, and PCT), coagulation-related markers (including D-dimer, FIB, and FDP), and blood cell-related markers (including white blood cell (WBC), platelet (PLT), plateletocrit (Pct), and mean platelet volume (MPV)).
DOI: 10.34740/kaggle/dsv/5058575
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.5519/qd.4ghlzhgy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5519/qd.pz21j8yb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.25345/c56970746
title: MassIVE MSV000091357 - New Insights Into Oxidation-Modified Lipoproteins Association With Coronary Plaque Phenotype in Cardiovascular Disease
title: Proteomics analysis (Label-free Quantitation) was performed on oxHDL isolated by anti-oxApoA-I antibody.
DOI: 10.5519/qd.z2z4nect
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)
DOI: 10.5519/qd.eaeih6m7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (527 records)
DOI: 10.6084/m9.figshare.22177274
title: hoarding2022

description: GWAS summary statistics from the Psychiatric Genomics Consortium (PGC)
DOI: 10.15784/601665
title: Old Ice, Ong Valley, Transantarctic Mountains

description: These data include the measurements and analyses done on a ~10 meter long ice cores drilled in Ong Valley buried ice site. Further descriptions can be found in the related paper listed below.
DOI: 10.15784/601667
title: SPICEcore visable tephra

description: This dataset contains the geochemical composition of three tephra layers that were used in the development of the SPICEcore timescale (Winski et al., 2019). All tephra have been correlated to WDC06A ice core.
DOI: 10.15151/esrf-es-1031862201
title: The Netherlands BAG

description: The Netherlands BAG includes groups situated at five Dutch universities (Utrecht, Groningen, Amsterdam, Wageningen and Eindhoven) and at the Netherlands Cancer Institute in Amsterdam, with a total of twelve PIs. The structural biology research carried out in these groups is highly diverse, including prokaryotic and eukaryotic proteins with a strong focus on targets and processes of biomedical relevance. Central to many projects are protein receptors and their interactions with other proteins and with small molecule modulators. An additional major research area concerns structure-based protein engineering and design aiming at the characterization and engineering of new enzymes for green chemistry and new-to-nature reactions. Projects deal with membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.15784/601587
title: Weddell seal iron dynamics and oxygen stores across lactation

description: The profound impacts that maternal provisioning of finite energy resources has on offspring survival have been extensively studied across mammals. However, in addition to calories, we tested whether high hemoprotein concentrations in diving mammals necessitates exceptional female-to-pup iron transfer. To answer this question adult female Weddell seals (Leptonychotes weddellii) were handled across the austral summer. This included post-partum females during lactation and post-weaning. To demonstrate that any observed changes in iron dynamics were due to lactation, equivalent skip-breeding females (i.e., that did not produce a pup) were also handled. We measured numerous indices of iron mobilization (ferritin, serum iron, total-iron-binding-capacity, transferrin saturation, milk iron concentration), hemoprotein concentrations, and oxygen stores.
DOI: 10.18739/a2000019z
title: Gender Empowerment in the Arctic (2016-2020)

description: The collaborative study on gender equality and empowerment in the Arctic (UGEEA) aims to improve understanding of gender equality issues in the New Arctic at the national, regional, and local levels, identify concrete strategies for gender political, economic, and civic empowerment, and thereby facilitate sustainable policymaking for the New Arctic. This study employs an inclusive, collaborative approach to collect and analyze datasets, documents, and case studies to understand to what extent political, economic, and civic empowerment is distributed by gender. Broader impacts of the UGEEA Project include recommendations for the promotion of gender equality and empowerment of women, raising public awareness of gender issues in the Arctic, and the development of a publicly available data compendium on gender empowerment. The study also aims to narrow the existing knowledge gaps on gender empowerment across Circumpolar regions by including an assessment of gender empowerment at different levels relevant to the Arctic countries — national/quasi-national (for Iceland, the Faroe Islands, and Greenland), subnational (regional), municipal, and local (community) levels. The dataset examines gender earnings gap, gender disparity in tertiary education, and women's political leadership in the Arctic at the regional/(sub)national levels.