cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/58950
title: Chandra X-ray Observatory ObsId 58950
DOI: 10.25574/58952
title: Chandra X-ray Observatory ObsId 58952
DOI: 10.25574/58956
title: Chandra X-ray Observatory ObsId 58956
DOI: 10.25574/58958
title: Chandra X-ray Observatory ObsId 58958
DOI: 10.25574/58959
title: Chandra X-ray Observatory ObsId 58959
DOI: 10.25574/58961
title: Chandra X-ray Observatory ObsId 58961
DOI: 10.25574/58962
title: Chandra X-ray Observatory ObsId 58962
DOI: 10.25574/58964
title: Chandra X-ray Observatory ObsId 58964
DOI: 10.25574/58965
title: Chandra X-ray Observatory ObsId 58965
DOI: 10.25574/58967
title: Chandra X-ray Observatory ObsId 58967
DOI: 10.25574/58970
title: Chandra X-ray Observatory ObsId 58970
DOI: 10.25574/58972
title: Chandra X-ray Observatory ObsId 58972
DOI: 10.25574/58973
title: Chandra X-ray Observatory ObsId 58973
DOI: 10.25574/58975
title: Chandra X-ray Observatory ObsId 58975
DOI: 10.25574/58977
title: Chandra X-ray Observatory ObsId 58977
DOI: 10.25574/58979
title: Chandra X-ray Observatory ObsId 58979
DOI: 10.25574/58980
title: Chandra X-ray Observatory ObsId 58980
DOI: 10.25574/58982
title: Chandra X-ray Observatory ObsId 58982
DOI: 10.25574/58987
title: Chandra X-ray Observatory ObsId 58987
DOI: 10.25574/58991
title: Chandra X-ray Observatory ObsId 58991
DOI: 10.25574/58993
title: Chandra X-ray Observatory ObsId 58993
DOI: 10.25574/58995
title: Chandra X-ray Observatory ObsId 58995
DOI: 10.5281/zenodo.7041255
title: Data set for "1/f Noise Characterization of Bilayer MoS2 Field-Effect Transistors on Paper with Inkjet-Printed Contacts and hBN Dielectrics"

description: Data set of the experimental results presented in the article "1/f Noise Characterization of Bilayer MoS2 Field-Effect Transistors on Paper with Inkjet-Printed Contacts and hBN Dielectrics" published in Advanced Electronics Materials.
DOI: 10.5281/zenodo.7041254
title: Data set for "1/f Noise Characterization of Bilayer MoS2 Field-Effect Transistors on Paper with Inkjet-Printed Contacts and hBN Dielectrics"

description: Data set of the experimental results presented in the article "1/f Noise Characterization of Bilayer MoS2 Field-Effect Transistors on Paper with Inkjet-Printed Contacts and hBN Dielectrics" published in Advanced Electronics Materials.
DOI: 10.17863/cam.6018
title: Research data supporting "Lipopolysaccharide-induced NF-kB nuclear translocation is primarily dependent on MyD88, but TNFα expression requires TRIF and MyD88"

description: SM TIRF images of labelled TLR4 and MyD88. Associated analysis included.
description: Wellcome Trust [WT108045AIA, WT100321/z/12/Z], MRC [G1000133]
DOI: 10.6084/m9.figshare.16918903
title: Data Supplements

description: Supplemental Data file corresponds to the BioRxiv preprint and any linked post publication entitled "Blood pressure and the kidney cortex transcriptome response to high sodium diet challenge in female nonhuman primates". Detailed methods can be found there as well.BioRxiv DOI: 10.1101/2021.10.29.466291
DOI: 10.6084/m9.figshare.16918903.v1
title: Data Supplements

description: Supplemental Data file corresponds to the BioRxiv preprint and any linked post publication entitled "Blood pressure and the kidney cortex transcriptome response to high sodium diet challenge in female nonhuman primates". Detailed methods can be found there as well.BioRxiv DOI: 10.1101/2021.10.29.466291
DOI: 10.5517/ccdc.csd.cc2bz0kx
title: CCDC 2173799: Experimental Crystal Structure Determination

description: Related Article: Yuki Ide, Yumehiro Manabe, Yuya Inaba, Yusuke Kinoshita, Jenny Pirillo, Yuh Hijikata, Tomoki Yoneda, Kilingaru I. Shivakumar, Saki Tanaka, Hitoshi Asakawa, Yasuhide Inokuma|2022|Chemical Science|13|9848|doi:10.1039/D2SC03083G
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.cc2bz0ly
title: CCDC 2173800: Experimental Crystal Structure Determination

description: Related Article: Yuki Ide, Yumehiro Manabe, Yuya Inaba, Yusuke Kinoshita, Jenny Pirillo, Yuh Hijikata, Tomoki Yoneda, Kilingaru I. Shivakumar, Saki Tanaka, Hitoshi Asakawa, Yasuhide Inokuma|2022|Chemical Science|13|9848|doi:10.1039/D2SC03083G
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.cc2bz2hx
title: CCDC 2173859: Experimental Crystal Structure Determination

description: Related Article: Ralph Freund, Andreas Kalytta-Mewes, Maryana Kraft, Dirk Volkmer|2022|Chem.Commun.|58|9349|doi:10.1039/D2CC03016K
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.cc2bz2jy
title: CCDC 2173860: Experimental Crystal Structure Determination

description: Related Article: Ralph Freund, Andreas Kalytta-Mewes, Maryana Kraft, Dirk Volkmer|2022|Chem.Commun.|58|9349|doi:10.1039/D2CC03016K
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.cc2bz2kz
title: CCDC 2173861: Experimental Crystal Structure Determination

description: Related Article: Ralph Freund, Andreas Kalytta-Mewes, Maryana Kraft, Dirk Volkmer|2022|Chem.Commun.|58|9349|doi:10.1039/D2CC03016K
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.cc2bz2l0
title: CCDC 2173862: Experimental Crystal Structure Determination

description: Related Article: Ralph Freund, Andreas Kalytta-Mewes, Maryana Kraft, Dirk Volkmer|2022|Chem.Commun.|58|9349|doi:10.1039/D2CC03016K
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.cc2bz8n8
title: CCDC 2174050: Experimental Crystal Structure Determination

description: Related Article: Zhexin Wang, Lun Zhao, Yue Han, GuanYing Song, Hongwei Jing, Guanlin Guo, Ziyun Wang, Jiayu Li|2022|J.Mol.Struct.|1270|133925|doi:10.1016/j.molstruc.2022.133925
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.cc2bz8p9
title: CCDC 2174051: Experimental Crystal Structure Determination

description: Related Article: Zhexin Wang, Lun Zhao, Yue Han, GuanYing Song, Hongwei Jing, Guanlin Guo, Ziyun Wang, Jiayu Li|2022|J.Mol.Struct.|1270|133925|doi:10.1016/j.molstruc.2022.133925
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.cc2bzcvk
title: CCDC 2174149: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Giulia Folpini, Andrea Olivati, Benedetta Albini, Pietro Galinetto, Laura Chelazzi, Samuele Ciattini, Elvira Fantechi, Stefano A. Serapian, Annamaria Petrozza, Lorenzo Malavasi|2022|J.Mater.Chem.C|10|12367|doi:10.1039/D2TC02113G
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.cc2bzcwl
title: CCDC 2174150: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Giulia Folpini, Andrea Olivati, Benedetta Albini, Pietro Galinetto, Laura Chelazzi, Samuele Ciattini, Elvira Fantechi, Stefano A. Serapian, Annamaria Petrozza, Lorenzo Malavasi|2022|J.Mater.Chem.C|10|12367|doi:10.1039/D2TC02113G
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.cc2bzcxm
title: CCDC 2174151: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Giulia Folpini, Andrea Olivati, Benedetta Albini, Pietro Galinetto, Laura Chelazzi, Samuele Ciattini, Elvira Fantechi, Stefano A. Serapian, Annamaria Petrozza, Lorenzo Malavasi|2022|J.Mater.Chem.C|10|12367|doi:10.1039/D2TC02113G
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.cc2bzcyn
title: CCDC 2174152: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Giulia Folpini, Andrea Olivati, Benedetta Albini, Pietro Galinetto, Laura Chelazzi, Samuele Ciattini, Elvira Fantechi, Stefano A. Serapian, Annamaria Petrozza, Lorenzo Malavasi|2022|J.Mater.Chem.C|10|12367|doi:10.1039/D2TC02113G
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.cc2bz8qb
title: CCDC 2174052: Experimental Crystal Structure Determination

description: Related Article: Zhexin Wang, Lun Zhao, Yue Han, GuanYing Song, Hongwei Jing, Guanlin Guo, Ziyun Wang, Jiayu Li|2022|J.Mol.Struct.|1270|133925|doi:10.1016/j.molstruc.2022.133925
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.ccx98yd
title: CCDC 843074: Experimental Crystal Structure Determination

description: Related Article: Zhang Bin|2016|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: 10.21223/fldlpf/mat3gr
title: 01-Data-revisiones-bibliograficas-vicuñas.xlsx

description: :unav
DOI: 10.17909/cphn-nc88
title: A transmission spectrum of the sub-Earth planet L98-59~b in 1.1 -- 1.7 $\mu$m

description: Five primary transit observations of L98-59b observed by using HST/WFC3/G141
DOI: 10.6084/m9.figshare.20776714
title: Nanopore sequencing of quantitative PCR assays reveals off target Aspergillus species commonly found in Cannabis flowers

description: Illumina Sequencing of Vendor B Aspergillus Amplicon <br> Reads were trimmed, FLASH'd, q30 filtered and reads over 100bp retained. 100bp_GA-PCR-6-WM.extendedFrags-q30-filtered.fastq.gz
DOI: 10.6084/m9.figshare.20776714.v2
title: Nanopore sequencing of quantitative PCR assays reveals off target Aspergillus species commonly found in Cannabis flowers

description: Illumina Sequencing of Vendor B Aspergillus Amplicon <br> Reads were trimmed, FLASH'd, q30 filtered and reads over 100bp retained. 100bp_GA-PCR-6-WM.extendedFrags-q30-filtered.fastq.gz
DOI: 10.6084/m9.figshare.20776714.v1
title: Nanopore sequencing of quantitative PCR assays reveals off target Aspergillus species commonly found in Cannabis flowers

description: Illumina Sequencing of Vendor B Aspergillus Amplicon <br> Reads were trimmed, FLASH'd, q30 filtered and reads over 100bp retained. 100bp_GA-PCR-6-WM.extendedFrags-q30-filtered.fastq.gz
DOI: 10.6084/m9.figshare.20777299
title: Drone Flight Performance Evaluation Methodology based on Data Science-20220901T212610Z-001.zip

description: This dataset contains linear and angular position and velocity of a drone. Forty flights were performed by a drone pilot.
DOI: 10.5281/zenodo.6367111
title: Interval-based Verification for Medical Scores and Score Calculator Apps

description: Dataset Of Interval-based Verification for Medical Scores and Score Calculator Apps
DOI: 10.5281/zenodo.6367112
title: Interval-based Verification for Medical Scores and Score Calculator Apps

description: Dataset Of Interval-based Verification for Medical Scores and Score Calculator Apps
DOI: 10.5281/zenodo.7042025
title: Interval-based Verification for Medical Scores and Score Calculator Apps

description: Dataset Of Interval-based Verification for Medical Scores and Score Calculator Apps
DOI: 10.21223/awmxvt/gvgeyk
title: 02_Datadictionary_Perdidas_Precosecha_Uso DST Tizon.tab

description: :unav
DOI: 10.21223/awmxvt/bxccvw
title: 01_DataSet - Perdidas precosecha - Uso DST tizón.xlsx

description: :unav
DOI: 10.5281/zenodo.7017588
title: Assessing Vaccine-Related Content for Journalistic Quality: A large-scale dataset and article repository

description: This dataset was produced through a collaboration with the NSF-funded ARTT project (led by Hacks/Hackers) and Overtone. It consists of 1,000 vaccine-related articles, pulled from a wide variety of news media sources, with associated scores based on their journalistic quality. The scores were provided through Overtone’s algorithm, and range from one (low-quality or low informational value add) to five (high-quality or high informational value add). Articles were sourced from traditional journalism outlets (news and news-leaning websites), as well as non-journalistic sources of vaccine information, such as governmental websites, healthcare and NGO websites, and medical journals. Given the algorithm’s focus on editorial content, as opposed to other metrics such as author, outlet, or engagement, analyzing a diverse set of article types allowed the research team to examine how different styles of vaccine-related content measured against traditional journalistic quality standards.<strong> </strong>Therefore, this dataset provides a unique insight into the spectrum of vaccine reporting, and serves as a contribution to the field of automated quality assessment. <strong>About ARTT:</strong> The Analysis and Response Toolkit for Trust (ARTT) project is focused on helping people engage in trust-building ways when discussing vaccine efficacy and other topics online. <strong>About Overtone:</strong> Overtone has built a Natural Language Processing algorithm that finds and sorts online content by its intrinsic qualities, rather than clicks or shares. Their AI assesses texts for journalistic signals that demonstrate human effort. For any questions about this dataset, please contact artt@hackshackers.com.
description: The creation of this dataset was supported by an award from the National Science Foundation (US), award number 49100421C0037
DOI: 10.5281/zenodo.7017587
title: Assessing Vaccine-Related Content for Journalistic Quality: A large-scale dataset and article repository

description: This dataset was produced through a collaboration with the NSF-funded ARTT project (led by Hacks/Hackers) and Overtone. It consists of 1,000 vaccine-related articles, pulled from a wide variety of news media sources, with associated scores based on their journalistic quality. The scores were provided through Overtone’s algorithm, and range from one (low-quality or low informational value add) to five (high-quality or high informational value add). Articles were sourced from traditional journalism outlets (news and news-leaning websites), as well as non-journalistic sources of vaccine information, such as governmental websites, healthcare and NGO websites, and medical journals. Given the algorithm’s focus on editorial content, as opposed to other metrics such as author, outlet, or engagement, analyzing a diverse set of article types allowed the research team to examine how different styles of vaccine-related content measured against traditional journalistic quality standards.<strong> </strong>Therefore, this dataset provides a unique insight into the spectrum of vaccine reporting, and serves as a contribution to the field of automated quality assessment. <strong>About ARTT:</strong> The Analysis and Response Toolkit for Trust (ARTT) project is focused on helping people engage in trust-building ways when discussing vaccine efficacy and other topics online. <strong>About Overtone:</strong> Overtone has built a Natural Language Processing algorithm that finds and sorts online content by its intrinsic qualities, rather than clicks or shares. Their AI assesses texts for journalistic signals that demonstrate human effort. For any questions about this dataset, please contact artt@hackshackers.com.
description: The creation of this dataset was supported by an award from the National Science Foundation (US), award number 49100421C0037
DOI: 10.5281/zenodo.7015880
title: SuperDARN meteor wind data for January 2019

description: SuperDARN meteor wind data *.m.* - meridional *.z.* - zonal X/Y are in radar coordinates - most users can disregard. Supported by NSF #1934973 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “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.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.5281/zenodo.7015881
title: SuperDARN meteor wind data for January 2019

description: SuperDARN meteor wind data *.m.* - meridional *.z.* - zonal X/Y are in radar coordinates - most users can disregard. Supported by NSF #1934973 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “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.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.