cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28090556.v2
title: ChatGPT estimates of the quality of published conference papers from their titles and abstracts - conference list

description: ChatGPT estimates of the quality of published conference papers from their titles and abstractsA list of the conferences and sample sizes for the above paper.
DOI: 10.6084/m9.figshare.28090556.v1
title: ChatGPT estimates of the quality of published conference papers from their titles and abstracts - conference list

description: ChatGPT estimates of the quality of published conference papers from their titles and abstractsA list of the conferences and sample sizes for the above paper.
DOI: 10.5281/zenodo.18475048
title: SuperDARN data in netCDF format (2011-May)

description: 2011-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, 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/rst



The 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)



Recommended form of acknowledgement for the use of SuperDARN data:



'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.6534067
title: SuperDARN data in netCDF format (2011-May)

description: 2011-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, 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/rst



The 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)



Recommended form of acknowledgement for the use of SuperDARN data:



'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: 10.25934/pr00008295
title: AMR Surveillance Datasets mathematical analysis

description: This research aims to utilize the Vivli AMR datasets to characterize the temporal evolution of antimicrobial resistance patterns. By applying advanced machine learning algorithms—specifically longitudinal clustering and predictive modeling—we intend to identify latent trajectories in how specific pathogens adapt to antibiotic pressure over time. This study treats resistance not as a static data point, but as a dynamic evolutionary process that can be modeled to predict future trends.

The primary goal is to shift antimicrobial management from reactive to proactive. By detecting early-warning patterns of emerging resistance, our AI models will provide evidence-based insights to:
1) Improve Patient Outcomes: Informing personalized therapy by predicting which frontline antibiotics are most likely to face imminent resistance based on regional evolutionary trends.
2) Strengthen Stewardship: Identifying specific drug-pathogen combinations where resistance is accelerating, allowing hospitals to implement more effective antibiotic cycling or restriction protocols.
3) Inform Public Health Practice: Mapping the velocity of AMR spread across different geographies to help health authorities prioritize interventions in high-risk zones.
4) Strengthen Health Systems: Reducing the economic and clinical burden of failed primary treatments by optimizing surveillance data into actionable intelligence.

Ultimately, this work seeks to transform raw surveillance data into a predictive framework. By understanding the underlying patterns of AMR evolution, we can provide clinicians with the foresight needed to preserve the efficacy of our current antibiotic arsenal and develop more resilient treatment guidelines. The high-quality, longitudinal data provided by Vivli is essential to training these models to a level of clinical reliability.
DOI: 10.5517/ccdc.csd.cc2ksf82
title: CCDC 2376964: Experimental Crystal Structure Determination

description: Related Article: Thanh-Hau Huynh|2025|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: 10.5517/ccdc.csd.cc2l7gkw
title: CCDC 2390458: Experimental Crystal Structure Determination

description: Related Article: Junru Chen, Zhenni Wei, Yi Shan, Siqin Chen, Zhu Wu, Shitai Liu, Jingjing Zhang, Xiaoyuan Chen, Bin Liu|2025|Adv.Mater.|37|2418795|doi:10.1002/adma.202418795
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.cc2l7glx
title: CCDC 2390459: Experimental Crystal Structure Determination

description: Related Article: Junru Chen, Zhenni Wei, Yi Shan, Siqin Chen, Zhu Wu, Shitai Liu, Jingjing Zhang, Xiaoyuan Chen, Bin Liu|2025|Adv.Mater.|37|2418795|doi:10.1002/adma.202418795
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.cc2lb6w1
title: CCDC 2393103: Experimental Crystal Structure Determination

description: Related Article: Leon Goeden, Carl Cheadle, Vlad Birman, Steven Kelley, Nikolay Gerasimchuk|2026|J.Chem.Cryst.|56||doi:10.1007/s10870-025-01073-2
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.cc2lb706
title: CCDC 2393107: Experimental Crystal Structure Determination

description: Related Article: Leon Goeden, Carl Cheadle, Vlad Birman, Steven Kelley, Nikolay Gerasimchuk|2026|J.Chem.Cryst.|56||doi:10.1007/s10870-025-01073-2
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.cc2ld078
title: CCDC 2394819: Experimental Crystal Structure Determination

description: Related Article: Tian-Li Gao|2025|CSD Communication|||
description: Related Article: Tian-Li Gao,  Jun-Ru Wang,  Zhen Han,  Jia-Yin Wang,  Ying-Xue Yuan,  Shuang-Quan Zang|2025|Nat.Commun.|16|9640|doi:10.1038/s41467-025-64638-x
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.cc2l889g
title: CCDC 2391225: Experimental Crystal Structure Determination

description: Related Article: Nabila A. Kheder, Mostafa E. Salem, Saied M. Soliman, Ismail A. Elhaty, Naglaa S. Mahmoud, Mohamed Abdel‐Megid, Kamal M. Dawood|2025|ChemistryOpen|14|e202500276|doi:10.1002/open.202500276
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.cc2lm3fs
title: CCDC 2401645: Experimental Crystal Structure Determination

description: Related Article: Yuefei Wang,  Zaiyong Zhang,  Huanyu Yang,  Shunjie Li,  Xiaokang Yao,  Huili Ma,  Shengchen Yang,  Suzhi Cai,  Zhongfu An,  Wei Huang|2025|Nat.Commun.|16|9158|doi:10.1038/s41467-025-64202-7
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.cc2lrbtj
title: CCDC 2405718: Experimental Crystal Structure Determination

description: Related Article: Joshua J. B. Levinsky, Shivani Grover, Phillippa Partridge, Eliza K. Dempsey, Emmanouil K. Charkiolakis, David Gracia, Marco Evangelisti, Charles J. McMonagle, Claire L. Hobday|2025|J.Mater.Chem.A|14|2397|doi:10.1039/d5ta05423k
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.cc2lrbxm
title: CCDC 2405721: Experimental Crystal Structure Determination

description: Related Article: Joshua J. B. Levinsky, Shivani Grover, Phillippa Partridge, Eliza K. Dempsey, Emmanouil K. Charkiolakis, David Gracia, Marco Evangelisti, Charles J. McMonagle, Claire L. Hobday|2025|J.Mater.Chem.A|14|2397|doi:10.1039/d5ta05423k
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.cc2lrbyn
title: CCDC 2405722: Experimental Crystal Structure Determination

description: Related Article: Joshua J. B. Levinsky, Shivani Grover, Phillippa Partridge, Eliza K. Dempsey, Emmanouil K. Charkiolakis, David Gracia, Marco Evangelisti, Charles J. McMonagle, Claire L. Hobday|2025|J.Mater.Chem.A|14|2397|doi:10.1039/d5ta05423k
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.cc2lrc0r
title: CCDC 2405724: Experimental Crystal Structure Determination

description: Related Article: Joshua J. B. Levinsky, Shivani Grover, Phillippa Partridge, Eliza K. Dempsey, Emmanouil K. Charkiolakis, David Gracia, Marco Evangelisti, Charles J. McMonagle, Claire L. Hobday|2025|J.Mater.Chem.A|14|2397|doi:10.1039/d5ta05423k
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.cc2lrc1s
title: CCDC 2405725: Experimental Crystal Structure Determination

description: Related Article: Joshua J. B. Levinsky, Shivani Grover, Phillippa Partridge, Eliza K. Dempsey, Emmanouil K. Charkiolakis, David Gracia, Marco Evangelisti, Charles J. McMonagle, Claire L. Hobday|2025|J.Mater.Chem.A|14|2397|doi:10.1039/d5ta05423k
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.cc2lrc4w
title: CCDC 2405728: Experimental Crystal Structure Determination

description: Related Article: Joshua J. B. Levinsky, Shivani Grover, Phillippa Partridge, Eliza K. Dempsey, Emmanouil K. Charkiolakis, David Gracia, Marco Evangelisti, Charles J. McMonagle, Claire L. Hobday|2025|J.Mater.Chem.A|14|2397|doi:10.1039/d5ta05423k
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.cc2lrc5x
title: CCDC 2405729: Experimental Crystal Structure Determination

description: Related Article: Joshua J. B. Levinsky, Shivani Grover, Phillippa Partridge, Eliza K. Dempsey, Emmanouil K. Charkiolakis, David Gracia, Marco Evangelisti, Charles J. McMonagle, Claire L. Hobday|2025|J.Mater.Chem.A|14|2397|doi:10.1039/d5ta05423k
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.cc2lrc6y
title: CCDC 2405730: Experimental Crystal Structure Determination

description: Related Article: Joshua J. B. Levinsky, Shivani Grover, Phillippa Partridge, Eliza K. Dempsey, Emmanouil K. Charkiolakis, David Gracia, Marco Evangelisti, Charles J. McMonagle, Claire L. Hobday|2025|J.Mater.Chem.A|14|2397|doi:10.1039/d5ta05423k
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: 10.5281/zenodo.18475359
title: IODP Expedition 340 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.15468/dl.rhkkjb
title: Occurrence Download

description: A dataset containing 2840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polititapes aureus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 2840 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007483-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15135313
title: Table 20 in The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany)

description: Table 20. Conch measurements, ratios and rates of Stockumites kleinerae (Korn, 1984) from Oberrödinghausen.
specimendmwwwhuwahww/dmww/whuw/dmWERIZRGPIT-PV-6388055.135.131.20.015.20.641.130.001.910.51GPIT-PV-6387936.626.420.31.18.90.721.300.031.740.56MB.C.31075.129.022.216.90.27.30.771.320.011.780.57GPIT-PV-6400423.818.512.61.15.40.781.470.051.670.57
description: Published as part of Korn, Dieter & Weyer, Dieter, 2023, The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany), pp. 50 in European Journal of Taxonomy 882 on page 50, DOI: 10.5852/ejt.2023.882.2177, http://zenodo.org/record/8177581
DOI: 10.5281/zenodo.15135314
title: Table 20 in The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany)

description: Table 20. Conch measurements, ratios and rates of Stockumites kleinerae (Korn, 1984) from Oberrödinghausen.
specimendmwwwhuwahww/dmww/whuw/dmWERIZRGPIT-PV-6388055.135.131.20.015.20.641.130.001.910.51GPIT-PV-6387936.626.420.31.18.90.721.300.031.740.56MB.C.31075.129.022.216.90.27.30.771.320.011.780.57GPIT-PV-6400423.818.512.61.15.40.781.470.051.670.57
description: Published as part of Korn, Dieter & Weyer, Dieter, 2023, The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany), pp. 50 in European Journal of Taxonomy 882 on page 50, DOI: 10.5852/ejt.2023.882.2177, http://zenodo.org/record/8177581
DOI: 10.5281/zenodo.15135315
title: Table 21 in The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany)

description: Table 21. Conch ontogeny of Stockumites kleinerae (Korn, 1984) from Stockum.
dmconch shapewhorl cross section shapewhorl expansion2 mmthickly discoidal to pachyconic; subevolute (ww/dm = 0.55–0.75; uw/dm = 0.30–0.45)moderately depressed; strongly embracing (ww/wh = 1.75–2.00; IZR = 0.30–0.40)low (WER = 1.65– 1.75)5 mmpachyconic; subinvolute to subevolute (ww/dm = 0.60–0.80; uw/dm = 0.25–0.40)moderately depressed; strongly embracing (ww/wh = 1.70–2.00; IZR = 0.35–0.45)low (WER = 1.60– 1.75)15 mmthickly pachyconic; involute (ww/dm ~0.80; uw/dm = 0.05–0.15)weakly to moderately depressed; very strongly embracing (ww/wh = 1.35–1.65; IZR = 0.50–0.55)low (WER = 1.65– 1.75)30 mmthickly pachyconic; involute (ww/dm ~0.75; uw/dm ~0.05)weakly depressed; very strongly embracing (ww/wh ~1.35; IZR = 0.50–0.55)low (WER ~1.70)50 mmthinly pachyconic; involute (ww/dm ~0.70; uw/dm ~0.00)weakly depressed; very strongly embracing (ww/wh ~1.15; IZR = 0.50–0.55)moderate (WER ~1.80)
description: Published as part of Korn, Dieter & Weyer, Dieter, 2023, The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany), pp. 50 in European Journal of Taxonomy 882 on page 50, DOI: 10.5852/ejt.2023.882.2177, http://zenodo.org/record/8177581
DOI: 10.5281/zenodo.15135316
title: Table 21 in The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany)

description: Table 21. Conch ontogeny of Stockumites kleinerae (Korn, 1984) from Stockum.
dmconch shapewhorl cross section shapewhorl expansion2 mmthickly discoidal to pachyconic; subevolute (ww/dm = 0.55–0.75; uw/dm = 0.30–0.45)moderately depressed; strongly embracing (ww/wh = 1.75–2.00; IZR = 0.30–0.40)low (WER = 1.65– 1.75)5 mmpachyconic; subinvolute to subevolute (ww/dm = 0.60–0.80; uw/dm = 0.25–0.40)moderately depressed; strongly embracing (ww/wh = 1.70–2.00; IZR = 0.35–0.45)low (WER = 1.60– 1.75)15 mmthickly pachyconic; involute (ww/dm ~0.80; uw/dm = 0.05–0.15)weakly to moderately depressed; very strongly embracing (ww/wh = 1.35–1.65; IZR = 0.50–0.55)low (WER = 1.65– 1.75)30 mmthickly pachyconic; involute (ww/dm ~0.75; uw/dm ~0.05)weakly depressed; very strongly embracing (ww/wh ~1.35; IZR = 0.50–0.55)low (WER ~1.70)50 mmthinly pachyconic; involute (ww/dm ~0.70; uw/dm ~0.00)weakly depressed; very strongly embracing (ww/wh ~1.15; IZR = 0.50–0.55)moderate (WER ~1.80)
description: Published as part of Korn, Dieter & Weyer, Dieter, 2023, The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany), pp. 50 in European Journal of Taxonomy 882 on page 50, DOI: 10.5852/ejt.2023.882.2177, http://zenodo.org/record/8177581
DOI: 10.5281/zenodo.15135317
title: Table 22 in The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany)

description: Table 22. Conch ontogeny of Stockumites kleinerae (Korn, 1984) from Oberrödinghausen.
dmconch shapewhorl cross section shapewhorl expansion2 mmglobular; subinvolute (ww/dm ~0.90; uw/dm ~0.28)strongly depressed; strongly embracing (ww/wh ~2.10; IZR ~0.45)low (WER ~1.70)5 mmglobular; subinvolute (ww/dm ~0.90; uw/dm ~0.20)moderately depressed; very strongly embracing (ww/wh ~1.90; IZR ~0.55)low (WER ~1.60)15 mmglobular; involute (ww/dm ~0.90; uw/dm ~0.05)moderately depressed; very strongly embracing (ww/wh ~1.60; IZR ~0.55)low (WER ~1.65)30 mmthickly pachyconic; involute (ww/dm ~0.75; uw/dm ~0.00)weakly depressed; very strongly embracing (ww/wh ~1.35; IZR ~0.55)moderate (WER ~1.80)50 mmthinly pachyconic; involute (ww/dm ~0.65; uw/dm ~0.00)weakly depressed; very strongly embracing (ww/wh ~1.15; IZR ~0.50)moderate (WER ~1.90)
description: Published as part of Korn, Dieter & Weyer, Dieter, 2023, The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany), pp. 50 in European Journal of Taxonomy 882 on page 50, DOI: 10.5852/ejt.2023.882.2177, http://zenodo.org/record/8177581