cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/153016
title: Multiplexed data collected during research cruise HRS2213 using a UDel UDEL SMS instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25417/uic.22728386
title: Multimodal Reinforcement Learning Human Study

description: We performed a human user study where 9 healthy adults were recruited to interact with our HEL agent. Each subject performed 4 to 5 trials (entire interactions) with the HEL agent adding up to a total of 42 trials. The hypothetical experiment environment would be a room with a drawer, a shelf, and a cabinet. The user can choose between red, green, and yellow cups and red, green, yellow, and white balls. At the beginning of each trial, objects are randomly scattered in different locations. The user only knows there are aforementioned locations and objects in the room but doesn’t know which item is located where. The subjects were instructed to choose the object of interest at the beginning of the trial, and guide the agent through different locations to find the object of interest.
DOI: 10.25417/uic.22728386.v1
title: Multimodal Reinforcement Learning Human Study

description: We performed a human user study where 9 healthy adults were recruited to interact with our HEL agent. Each subject performed 4 to 5 trials (entire interactions) with the HEL agent adding up to a total of 42 trials. The hypothetical experiment environment would be a room with a drawer, a shelf, and a cabinet. The user can choose between red, green, and yellow cups and red, green, yellow, and white balls. At the beginning of each trial, objects are randomly scattered in different locations. The user only knows there are aforementioned locations and objects in the room but doesn’t know which item is located where. The subjects were instructed to choose the object of interest at the beginning of the trial, and guide the agent through different locations to find the object of interest.
DOI: 10.7284/153019
title: GNSS (Global Navigation Satellite System) data collected during research cruise HRS2213 using a Furuno GP-37 instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153018
title: INS (Inertial Navigation System) data collected during research cruise HRS2213 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25810/qt7k-6r09.48
title: Swedish Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - April 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.23511645
title: Online survey dataset

description: Online survey of 610 respondents that was conducted during the Study. The survey contain 10 questions and is partialy in Hebrew. The survey was conducted in 2022 under the curtesy of iPanel
DOI: 10.25810/8196-e820.61
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - April 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.7284/153026
title: Multiplexed data collected during research cruise HRS2215 using a UDel UDEL SMS instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153027
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise HRS2215 using a Hawaii UHDAS instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153031
title: GNSS (Global Navigation Satellite System) data collected during research cruise HRS2215 using a Furuno GP-37 instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153030
title: INS (Inertial Navigation System) data collected during research cruise HRS2215 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153029
title: Singlebeam Echosounder data collected during research cruise HRS2215 using a Knudsen 3260 instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.8030738
title: Two representative triggered lightning flashes recorded at Langmuir Lab and their polarity asymmetries

description: This data set contains Lightning Mapping Array (LMA) and shunt current measurements for two representative triggered lightning flashes recorded at Langmuir Lab — one of each polarity. Use the script loadNplot_triggered_flash_zenodo.m to load and plot the data.
description: Acknowledgments: This work has been supported by NSF CAREER award AGS-2046043 to New Mexico Tech. The lightning triggering campaigns in 2012 and 2014 were sponsored by the DARPA NIMBUS program (grant HR0011-10-1-0057). We thank R. Stetson Reger for providing the storm charge figure for the 2014/Aug/05 thunderstorm.
DOI: 10.5281/zenodo.7072123
title: Deep Learning Predictions Enable Peptide-Spectrum Match Rescoring In FragPipe

description: FASTA, pepxml, and pin files
DOI: 10.5281/zenodo.7072124
title: Deep Learning Predictions Enable Peptide-Spectrum Match Rescoring In FragPipe

description: FASTA, pepxml, and pin files
DOI: 10.5281/zenodo.8034585
title: Deep Learning Predictions Enable Peptide-Spectrum Match Rescoring In FragPipe

description: FASTA, pepxml, and pin files
DOI: 10.7303/syn51706778
title: Banco de dados de informações sobre os vetores da malária no Brasil.
DOI: 10.6084/m9.figshare.23397866
title: Dataset containing the 8,866 tweet IDs from London, of which we sampled and analysed 600 posts in our study "Private garden uses during the first UK Covid-19 lockdown and associated mental health benefits"

description: Full dataset of our submitted research article manuscript, titled "Private garden uses during the first UK Covid-19 lockdown and associated mental health benefits". This dataset includes the 8,866 IDs of the tweets that were obtained for the from the Twitter API (Full Archive). <br> In the dataset, we provide, following the Twitter guidelines, simply the <em>ID </em>for the tweet (dehydrated tweets). Via the ID, the original tweets can be looked up on the Twitter platform (hydradtion of tweets), manually or via software packages. In our dataset, we include information on the <em>study period</em> (during first UK Covid-19 lockdown in 2020; control period in 2019) and on whether a tweet was eventually thematically analysed. 5,591 tweets are from during the 2020 lockdown and 3,278 from the control year in 2019. We read 884 tweets from the Covid-19 lockdown period and 2,702 tweets for obtaining 300 tweets from each period (600 in total) for the thematic analysis. <br> For any analysed tweets, we provide the results of the (abductive) thematic analysis, with the categories regarding <em>garden use</em> and (if applicable) mental health benefit.
DOI: 10.6084/m9.figshare.23511786
title: Anexo 1

description: Plebiscitos y Referendos
DOI: 10.6084/m9.figshare.23511786.v1
title: Anexo 1

description: Plebiscitos y Referendos
DOI: 10.25345/c53f4kz3g
title: MassIVE MSV000092154 - Plasmodium yoelii zygotes and female gametocytes
title: Plasmodium yoelii zygotes or female gametocytes were purified by FACS and analyzed by DIA LC-MS.
DOI: 10.5517/ccdc.csd.cc2fdcbk
title: CCDC 2246208: Experimental Crystal Structure Determination

description: Related Article: Shi-Yao Li, Huan Yao, Hao Hu, Wen-Jie Chen, Liu-Pan Yang, Li-Li Wang|2023|Chem.Commun.|59|7204|doi:10.1039/D3CC01164J
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.cc2ffk7p
title: CCDC 2247352: Experimental Crystal Structure Determination

description: Related Article: Zi-You Ran, Xing Liu, Chun-Mei Huang, Jian Zhou|2023|Inorg.Chem.|62|8647|doi:10.1021/acs.inorgchem.3c00778
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.cc2fh87g
title: CCDC 2248995: Experimental Crystal Structure Determination

description: Related Article: Mridhul R. K. Ramachandran, Philipp C. Brehm, Gregor Schnakenburg, Takahiro Sasamori, René T. Boeré, Rainer Streubel|2023|Dalton Trans.|52|7948|doi:10.1039/D3DT00850A
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.cc2fh88h
title: CCDC 2248996: Experimental Crystal Structure Determination

description: Related Article: Mridhul R. K. Ramachandran, Philipp C. Brehm, Gregor Schnakenburg, Takahiro Sasamori, René T. Boeré, Rainer Streubel|2023|Dalton Trans.|52|7948|doi:10.1039/D3DT00850A
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.cc2fh89j
title: CCDC 2248997: Experimental Crystal Structure Determination

description: Related Article: Mridhul R. K. Ramachandran, Philipp C. Brehm, Gregor Schnakenburg, Takahiro Sasamori, René T. Boeré, Rainer Streubel|2023|Dalton Trans.|52|7948|doi:10.1039/D3DT00850A
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.cc2fk93f
title: CCDC 2250944: Experimental Crystal Structure Determination

description: Related Article: Andrew T. Champlin, Jonathan A. Ellman|2023|J.Org.Chem.|88|7607|doi:10.1021/acs.joc.3c00750
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.cc2fcxzq
title: CCDC 2245794: Experimental Crystal Structure Determination

description: Related Article: Xinyue Shang, Mingwei Fu, Zhuoer Cai, Lai Wei, Shuwang Ge, Min Ge, Yihong Wang|2023|J.Mol.Struct.|1288|135786|doi:10.1016/j.molstruc.2023.135786
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.cc2d5ffg
title: CCDC 2209755: Experimental Crystal Structure Determination

description: Related Article: Ramar Arumugam, Prakash Nayak, Bijoy Dey, Ramkumar Kannan, Krishnan Venkatasubbaiah, Vadapalli Chandrasekhar|2023|Dalton Trans.|52|7926|doi:10.1039/D3DT01199B
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.cc2d5fgh
title: CCDC 2209756: Experimental Crystal Structure Determination

description: Related Article: Ramar Arumugam, Prakash Nayak, Bijoy Dey, Ramkumar Kannan, Krishnan Venkatasubbaiah, Vadapalli Chandrasekhar|2023|Dalton Trans.|52|7926|doi:10.1039/D3DT01199B
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.cc2d5fhj
title: CCDC 2209757: Experimental Crystal Structure Determination

description: Related Article: Ramar Arumugam, Prakash Nayak, Bijoy Dey, Ramkumar Kannan, Krishnan Venkatasubbaiah, Vadapalli Chandrasekhar|2023|Dalton Trans.|52|7926|doi:10.1039/D3DT01199B
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: 10.57967/hf/0753
title: OpenIllumination
DOI: 10.57967/hf/0756
title: OpenIllumination
DOI: 10.5281/zenodo.8034705
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Friedrich August Körnicke, http://www.wikidata.org/entity/Q74097. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q74097
DOI: 10.5281/zenodo.8034704
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Friedrich August Körnicke, http://www.wikidata.org/entity/Q74097. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q74097
DOI: 10.26300/16gq-qc31
title: Raw Spawning Data
DOI: 10.5517/ccdc.csd.cc2f1t0b
title: CCDC 2236061: Experimental Crystal Structure Determination

description: Related Article: Jie Xue, Yuling Huang, Yang Liu, Zhongwei Chen, Herman H. Y. Sung, Ian D. Williams, Zonglong Zhu, Lingling Mao, Xihan Chen, Haipeng Lu|2023|Angew.Chem.,Int.Ed.|62|e202304486|doi:10.1002/anie.202304486
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.cc2f1sz8
title: CCDC 2236060: Experimental Crystal Structure Determination

description: Related Article: Jie Xue, Yuling Huang, Yang Liu, Zhongwei Chen, Herman H. Y. Sung, Ian D. Williams, Zonglong Zhu, Lingling Mao, Xihan Chen, Haipeng Lu|2023|Angew.Chem.,Int.Ed.|62|e202304486|doi:10.1002/anie.202304486
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.cc2f1t2d
title: CCDC 2236063: Experimental Crystal Structure Determination

description: Related Article: Jie Xue, Yuling Huang, Yang Liu, Zhongwei Chen, Herman H. Y. Sung, Ian D. Williams, Zonglong Zhu, Lingling Mao, Xihan Chen, Haipeng Lu|2023|Angew.Chem.,Int.Ed.|62|e202304486|doi:10.1002/anie.202304486
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.3761562.v2616
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v2615
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.23511885
title: QQS data

description: data regarding quiet quitting scale
DOI: 10.6084/m9.figshare.23511885.v1
title: QQS data

description: data regarding quiet quitting scale
DOI: 10.26093/cds/vizier.51610190
title: Radial Velocities of binary population in M67

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Stellar radial velocities in the old open cluster M67 (NGC2682). II. The spectroscopic binary population.' (bibcode: 2021AJ....161..190G)
DOI: 10.26093/cds/vizier.51610233
title: The revised TESS habitable zone catalog

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Around which stars can TESS detect Earth-like planets? The revised TESS habitable zone catalog.' (bibcode: 2021AJ....161..233K)
DOI: 10.6084/m9.figshare.19722923
title: Network Gradient Descent Algorithm for Decentralized Federated Learning

description: We study a fully decentralized federated learning algorithm, which is a novel gradient descent algorithm executed on a communication-based network. For convenience, we refer to it as a network gradient descent (NGD) method. In the NGD method, only statistics (e.g., parameter estimates) need to be communicated, minimizing the risk of privacy. Meanwhile, different clients communicate with each other directly according to a carefully designed network structure without a central master. This greatly enhances the reliability of the entire algorithm. Those nice properties inspire us to carefully study the NGD method both theoretically and numerically. Theoretically, we start with a classical linear regression model. We find that both the learning rate and the network structure play significant roles in determining the NGD estimator’s statistical efficiency. The resulting NGD estimator can be statistically as efficient as the global estimator, if the learning rate is sufficiently small and the network structure is weakly balanced, even if the data are distributed heterogeneously. Those interesting findings are then extended to general models and loss functions. Extensive numerical studies are presented to corroborate our theoretical findings. Classical deep learning models are also presented for illustration purpose.
DOI: 10.6084/m9.figshare.19722923.v1
title: Network Gradient Descent Algorithm for Decentralized Federated Learning

description: We study a fully decentralized federated learning algorithm, which is a novel gradient descent algorithm executed on a communication-based network. For convenience, we refer to it as a network gradient descent (NGD) method. In the NGD method, only statistics (e.g., parameter estimates) need to be communicated, minimizing the risk of privacy. Meanwhile, different clients communicate with each other directly according to a carefully designed network structure without a central master. This greatly enhances the reliability of the entire algorithm. Those nice properties inspire us to carefully study the NGD method both theoretically and numerically. Theoretically, we start with a classical linear regression model. We find that both the learning rate and the network structure play significant roles in determining the NGD estimator’s statistical efficiency. The resulting NGD estimator can be statistically as efficient as the global estimator, if the learning rate is sufficiently small and the network structure is weakly balanced, even if the data are distributed heterogeneously. Those interesting findings are then extended to general models and loss functions. Extensive numerical studies are presented to corroborate our theoretical findings. Classical deep learning models are also presented for illustration purpose.
DOI: 10.6084/m9.figshare.19615164
title: Combining <i>p</i>-values for Multivariate Predictive Ability Testing

description: In this article, we propose an intersection-union test for multivariate forecast accuracy based on the combination of a sequence of univariate tests. The testing framework evaluates a global null hypothesis of equal predictive ability using any number of univariate forecast accuracy tests under arbitrary dependence structures, without specifying the underlying multivariate distribution. An extensive Monte Carlo simulation exercise shows that our proposed test has very good size and power properties under several relevant scenarios, and performs well in both low- and high-dimensional settings. We illustrate the empirical validity of our testing procedure using a large dataset of 84 daily exchange rates running from January 1, 2011 to April 1, 2021. We show that our proposed test addresses inconclusive results that often arise in practice.
DOI: 10.6084/m9.figshare.19615164.v1
title: Combining <i>p</i>-values for Multivariate Predictive Ability Testing

description: In this article, we propose an intersection-union test for multivariate forecast accuracy based on the combination of a sequence of univariate tests. The testing framework evaluates a global null hypothesis of equal predictive ability using any number of univariate forecast accuracy tests under arbitrary dependence structures, without specifying the underlying multivariate distribution. An extensive Monte Carlo simulation exercise shows that our proposed test has very good size and power properties under several relevant scenarios, and performs well in both low- and high-dimensional settings. We illustrate the empirical validity of our testing procedure using a large dataset of 84 daily exchange rates running from January 1, 2011 to April 1, 2021. We show that our proposed test addresses inconclusive results that often arise in practice.