cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/85ym-m202
title: Parkes observations for project P456 semester 2020OCTS_03

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.25919/baty-7q55
title: Parkes observations for project P1080 semester 2020OCTS_01

description: We propose timing observations of a new pulsar discovered with the MWA. Thanks to the interferometric advantages of the MWA and the unique design of our survey we were able to determine the pulsar's position to &lt;1 arcminute precision, thereby providing an opportunity for accelerated convergence of its timing solution and determine its spin and astrometric parameters. With an estimated luminosity ~0.1 mJy kpc^2 at 1.4 GHz, this may turn out to be a low-luminosity pulsar, of which only a handful are currently known. Observations with the ultra-wide band low-frequency receiver will help us further investigate this in detail through measurements flux densities and spectral index. We will also undertake polarimetric analysis of the new pulsar to better constrain the pulsar's geometry and emission properties.
DOI: 10.6084/m9.figshare.13517360
title: PR-network-Co-word

description: PR-Network-Co-word
DOI: 10.6084/m9.figshare.13517360.v1
title: PR-network-Co-word

description: PR-Network-Co-word
DOI: 10.5517/ccdc.csd.cc250hl9
title: CCDC 1996480: Experimental Crystal Structure Determination

description: Related Article: Mailde S. Ozório, Willian X. C. Oliveira, Julian F. R. V. Silveira, Ana Flávia Nogueira, Juarez L. F. Da Silva|2020|Mat.Advs.|1|3439|doi:10.1039/D0MA00791A
DOI: 10.5517/ccdc.csd.cc250hmb
title: CCDC 1996481: Experimental Crystal Structure Determination

description: Related Article: Mailde S. Ozório, Willian X. C. Oliveira, Julian F. R. V. Silveira, Ana Flávia Nogueira, Juarez L. F. Da Silva|2020|Mat.Advs.|1|3439|doi:10.1039/D0MA00791A
DOI: 10.5517/ccdc.csd.cc250hnc
title: CCDC 1996482: Experimental Crystal Structure Determination

description: Related Article: Mailde S. Ozório, Willian X. C. Oliveira, Julian F. R. V. Silveira, Ana Flávia Nogueira, Juarez L. F. Da Silva|2020|Mat.Advs.|1|3439|doi:10.1039/D0MA00791A
DOI: 10.5517/ccdc.csd.cc2575by
title: CCDC 2002889: Experimental Crystal Structure Determination

description: Related Article: S. Saravanan, Rafiq Ahmad, S. Kasthuri, Kunal Pal, S. Raviteja, P. Nagaraaj, Richard Hoogenboom, Venkatramaiah Nutalapati, Samarendra Maji|2020|Mater. Chem. Front.|5|238|doi:10.1039/D0QM00563K
DOI: 10.5517/ccdc.csd.cc257w3f
title: CCDC 2003564: Experimental Crystal Structure Determination

description: Related Article: Alessandra Garau, Larisa Lvova, Eleonora Macedi, Gianluca Ambrosi, M. Carla Aragoni, Massimiliano Arca, Claudia Caltagirone, Simon J. Coles, Mauro Formica, Vieri Fusi, Luca Giorgi, Francesco Isaia, Vito Lippolis, James B. Orton, Roberto Paolesse|2020|New J.Chem.|44|20834|doi:10.1039/D0NJ03858J
DOI: 10.5517/ccdc.csd.cc25b29x
title: CCDC 2005678: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2by
title: CCDC 2005679: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2cz
title: CCDC 2005680: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2d0
title: CCDC 2005681: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2f1
title: CCDC 2005682: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2g2
title: CCDC 2005683: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2h3
title: CCDC 2005684: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2k5
title: CCDC 2005686: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2l6
title: CCDC 2005687: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25b2m7
title: CCDC 2005688: Experimental Crystal Structure Determination

description: Related Article: Anna Rempel, Soren K. Mellerup, Felipe Fantuzzi, Anselm Herzog, Andrea Deißenberger, Rüdiger Bertermann, Bernd Engels, Holger Braunschweig|2020|Chem.-Eur.J.|26|16019|doi:10.1002/chem.202002678
DOI: 10.5517/ccdc.csd.cc25j0k9
title: CCDC 2011390: Experimental Crystal Structure Determination

description: Related Article: Zacharias J. Kinney, Arnold L. Rheingold, John D. Protasiewicz|2020|RSC Advances|10|42164|doi:10.1039/D0RA08490E
DOI: 10.5517/ccdc.csd.cc25j0lb
title: CCDC 2011391: Experimental Crystal Structure Determination

description: Related Article: Zacharias J. Kinney, Arnold L. Rheingold, John D. Protasiewicz|2020|RSC Advances|10|42164|doi:10.1039/D0RA08490E
DOI: 10.5517/ccdc.csd.cc25j0mc
title: CCDC 2011392: Experimental Crystal Structure Determination

description: Related Article: Zacharias J. Kinney, Arnold L. Rheingold, John D. Protasiewicz|2020|RSC Advances|10|42164|doi:10.1039/D0RA08490E
DOI: 10.5517/ccdc.csd.cc25jgy4
title: CCDC 2011836: Experimental Crystal Structure Determination

description: Related Article: Pan Wang, Ruqiang Lu, Arthur France-Lanord, Yanming Wang, Jingjing Zhou, Jeffrey C. Grossman, Timothy M. Swager|2020|Mater. Chem. Front.|4|3529|doi:10.1039/D0QM00824A
DOI: 10.5517/ccdc.csd.cc25mq2m
title: CCDC 2014940: Experimental Crystal Structure Determination

description: Related Article: Unnati Patel, Bhavesh Parmar, Parth Patel, Abhishek Dadhania, Eringathodi Suresh|2021|Mater. Chem. Front.|5|304|doi:10.1039/D0QM00611D
DOI: 10.5517/ccdc.csd.cc25mq3n
title: CCDC 2014941: Experimental Crystal Structure Determination

description: Related Article: Unnati Patel, Bhavesh Parmar, Parth Patel, Abhishek Dadhania, Eringathodi Suresh|2021|Mater. Chem. Front.|5|304|doi:10.1039/D0QM00611D
DOI: 10.5517/ccdc.csd.cc25pd9l
title: CCDC 2016559: Experimental Crystal Structure Determination

description: Related Article: Hye Jin Cho, Sang Won Kim, Sungjin Kim, Sangback Lee, Juhyen Lee, Yeonchoo Cho, Yunmi Lee, Tae-Woo Lee, Hyeon-Jin Shin, Changsik Song|2020|J.Mater.Chem.C|8|17289|doi:10.1039/D0TC04376A
DOI: 10.5517/ccdc.csd.cc25pgp1
title: CCDC 2016633: Experimental Crystal Structure Determination

description: Related Article: Manickam Bakthadoss, Mohammad Mushaf|2020|Org.Biomol.Chem.|18|9653|doi:10.1039/D0OB01960G
DOI: 10.5517/ccdc.csd.cc25yddy
title: CCDC 2024250: Experimental Crystal Structure Determination

description: Related Article: Gregor Voit, Sangeth Jenthra, Markus Hölscher, Thomas Weyhermüller, Walter Leitner|2020|Organometallics|39|4465|doi:10.1021/acs.organomet.0c00560
DOI: 10.5517/ccdc.csd.cc25ydfz
title: CCDC 2024251: Experimental Crystal Structure Determination

description: Related Article: Gregor Voit, Sangeth Jenthra, Markus Hölscher, Thomas Weyhermüller, Walter Leitner|2020|Organometallics|39|4465|doi:10.1021/acs.organomet.0c00560
DOI: 10.5517/ccdc.csd.cc25ydg0
title: CCDC 2024252: Experimental Crystal Structure Determination

description: Related Article: Gregor Voit, Sangeth Jenthra, Markus Hölscher, Thomas Weyhermüller, Walter Leitner|2020|Organometallics|39|4465|doi:10.1021/acs.organomet.0c00560
DOI: 10.5517/ccdc.csd.cc2601lw
title: CCDC 2025837: Experimental Crystal Structure Determination

description: Related Article: Yafei Gao, Maren Pink, Jeremy M. Smith|2020|Inorg.Chem.|59|17303|doi:10.1021/acs.inorgchem.0c02575
DOI: 10.5517/ccdc.csd.cc2601mx
title: CCDC 2025838: Experimental Crystal Structure Determination

description: Related Article: Yafei Gao, Maren Pink, Jeremy M. Smith|2020|Inorg.Chem.|59|17303|doi:10.1021/acs.inorgchem.0c02575
DOI: 10.5517/ccdc.csd.cc260mlg
title: CCDC 2026395: Experimental Crystal Structure Determination

description: Related Article: Andrii Varenikov, Evgeny Shapiro, Mark Gandelman|2020|Org.Lett.|22|9386|doi:10.1021/acs.orglett.0c03673
DOI: 10.5517/ccdc.csd.cc260mmh
title: CCDC 2026396: Experimental Crystal Structure Determination

description: Related Article: Andrii Varenikov, Evgeny Shapiro, Mark Gandelman|2020|Org.Lett.|22|9386|doi:10.1021/acs.orglett.0c03673
DOI: 10.5517/ccdc.csd.cc26bxxd
title: CCDC 2036294: Experimental Crystal Structure Determination

description: Related Article: Jürgen Evers, Gilbert Oehlinger, Franz Xaver Steemann, Thomas M. Klapötke|2020|Inorg.Chem.|59|17671|doi:10.1021/acs.inorgchem.0c02917
DOI: 10.5517/ccdc.csd.cc26bxyf
title: CCDC 2036295: Experimental Crystal Structure Determination

description: Related Article: Jürgen Evers, Gilbert Oehlinger, Franz Xaver Steemann, Thomas M. Klapötke|2020|Inorg.Chem.|59|17671|doi:10.1021/acs.inorgchem.0c02917
DOI: 10.5517/ccdc.csd.cc26bxzg
title: CCDC 2036296: Experimental Crystal Structure Determination

description: Related Article: Jürgen Evers, Gilbert Oehlinger, Franz Xaver Steemann, Thomas M. Klapötke|2020|Inorg.Chem.|59|17671|doi:10.1021/acs.inorgchem.0c02917
DOI: 10.5517/ccdc.csd.cc26by0j
title: CCDC 2036297: Experimental Crystal Structure Determination

description: Related Article: Jürgen Evers, Gilbert Oehlinger, Franz Xaver Steemann, Thomas M. Klapötke|2020|Inorg.Chem.|59|17671|doi:10.1021/acs.inorgchem.0c02917
DOI: 10.5517/ccdc.csd.cc26k2vq
title: CCDC 2042213: Experimental Crystal Structure Determination

description: Related Article: Gregor Voit, Sangeth Jenthra, Markus Hölscher, Thomas Weyhermüller, Walter Leitner|2020|Organometallics|39|4465|doi:10.1021/acs.organomet.0c00560
DOI: 10.5519/qd.s5bd0934
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.6084/m9.figshare.13383332
title: PR-Map-Co-word

description: PR-map
DOI: 10.6084/m9.figshare.13383332.v2
title: PR-Map-Co-word

description: PR-map
DOI: 10.6084/m9.figshare.13383332.v1
title: PR-Map-Co-word

description: PR-map
DOI: 10.6084/m9.figshare.13157585.v1
title: Interactive Clustering of Cooking RecipeInstructions: Towards the Automatic Identificationof Events Involving Kitchen Devices

description: Abstract: Cooking recipes are a rich source of semantic information. They contain instructions for food preparation tasks, specifying the actions that should be carried out which typically involve various ingredients and kitchen devices. In an IoT scenario, instructions in cooking recipes can form the basis for automatically controlling kitchen devices without any programming. However, as these instructions are written in natural language, they first need to be transformed or parsed into machine-interpretable commands. As a step towards this, we investigate methods for identifying the various types of actions (events) that kitchen devices are involved in. We cast this problem as a clustering task, whereby recipe instructions involving a given device of interest, are automatically grouped according to the type of event described. Each sentence in every instruction is represented by its embedding vector which is computed using a BERT-based model, specifically one pre-trained using a Roberta architecture. We cluster these sentence embeddings using our newly proposed interactive machine learning (IML)-based framework underpinned by the HDBScan clustering technique. We prove that our IML framework can detect events in sentences with great accuracy reaching an inter-annotator agreement level. Finally, we analyse domain specific cooking linguistic phenomena that hinder event detection.
DOI: 10.5281/zenodo.4408468
title: FLUXNET-CH4: A global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands (Appendix B and Figure 3)

description: This dataset contains metadata for methane flux sites in Version 1.0 of FLUXNET-CH4. The dataset also has seasonality parameters for select freshwater wetlands, which were extracted from the raw datasets published at https://fluxnet.org/data/fluxnet-ch4-community-product/. These data are used to analyze global methane flux seasonality patterns in the paper "FLUXNET-CH4: A global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands" by Delwiche et al.
DOI: 10.6084/m9.figshare.13368818
title: Replication Data/Code for "The Importance of Data Structure and Non-linearities in Estimating Climate Impacts on Outdoor Recreation" by Dundas and von Haefen.

description: Zip archive with data, code, and read me file to replicate results in Dundas and von Haefen (2021) "The Importance of Data Structure and Non-linearities in Estimating Climate Impacts on Outdoor Recreation" published in <i>Natural Hazards. </i>doi: https://doi.org/10.1007/s11069-020-04484-w <i> </i><br>
DOI: 10.6084/m9.figshare.13368818.v1
title: Replication Data/Code for "The Importance of Data Structure and Non-linearities in Estimating Climate Impacts on Outdoor Recreation" by Dundas and von Haefen.

description: Zip archive with data, code, and read me file to replicate results in Dundas and von Haefen (2021) "The Importance of Data Structure and Non-linearities in Estimating Climate Impacts on Outdoor Recreation" published in <i>Natural Hazards. </i>doi: https://doi.org/10.1007/s11069-020-04484-w <i> </i><br>
DOI: 10.5519/qd.evbl02h5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4699225 records)
DOI: 10.21227/tkg6-0s20
title: Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

description: Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated through system parameter identification. Joint mechanical power was calculated from net joint torques and rotational velocities and numerically integrated over time to estimate the joint biomechanical energy. The hip produced the largest peak negative mechanical power (1.8 ± 0.5 W/kg), followed by the knee (0.8 ± 0.3 W/kg) and ankle (0.2 ± 0.1 W/kg). Negative mechanical work from the hip, knee, and ankle joints per stand-to-sit movement were 0.35 ± 0.06 J/kg, 0.15 ± 0.08 J/kg, and 0.02 ± 0.01 J/kg, respectively. Assuming known regenerative actuator efficiencies (i.e., maximum 63%), robotic exoskeletons and prostheses could theoretically regenerate ~26 Joules of total electrical energy while sitting down, compared to ~19 Joules per walking stride. Given that these regeneration performance calculations are based on healthy young adults, future research should include seniors and/or rehabilitation patients to better estimate the biomechanical energy available for electrical regeneration in individuals with mobility impairments.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Design of Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. bioRxiv. DOI: 10.1101/801258.
DOI: 10.6084/m9.figshare.13157585.v2
title: Interactive Clustering of Cooking Recipe Instructions:Towards the Automatic Detection of Events Involving Kitchen Devices

description: Abstract: Cooking recipes are a rich source of semantic information. They contain instructions for food preparation tasks, specifying the actions that should be carried out which typically involve various ingredients and kitchen devices. In an IoT scenario, instructions in cooking recipes can form the basis for automatically controlling kitchen devices without any programming. However, as these instructions are written in natural language, they first need to be transformed or parsed into machine-interpretable commands. As a step towards this, we investigate methods for identifying the various types of actions (events) that kitchen devices are involved in. We cast this problem as a clustering task, whereby recipe instructions involving a given device of interest, are automatically grouped according to the type of event described. Each sentence in every instruction is represented by its embedding vector which is computed using a BERT-based model, specifically one pre-trained using a Roberta architecture. We cluster these sentence embeddings using our newly proposed interactive machine learning (IML)-based framework underpinned by the HDBScan clustering technique. We demonstrate that our IML framework can detect events in sentences with satisfactory accuracy, reaching almost the same level as human performance.
DOI: 10.5281/zenodo.4415409
title: Distortions of Visual Time Induced by Motor Adaptation

description: For details please read the file readme.txt. For more details contact the authors.
DOI: 10.5281/zenodo.4415408
title: Distortions of Visual Time Induced by Motor Adaptation

description: For details please read the file readme.txt. For more details contact the authors.
DOI: 10.5281/zenodo.4415888
title: Reactome

description: The Reactome dataset originates from the website https://reactome.org/ where it can be downloaded as Neo4j graph. This graph has been subsequently imported to Neo4j and in turn exported as RDF dump file in Turtle format which is now hosted on this site. The dataset is not yet RDFS-entailed and it utilizes the "http://dev.neo4j.owl.de/" base URI instead of "http://reacome.org/".
DOI: 10.5281/zenodo.4319945
title: Reactome

description: The Reactome dataset originates from the website https://reactome.org/ where it can be downloaded as Neo4j graph. This graph has been subsequently imported to Neo4j and in turn exported as RDF dump file in Turtle format which is now hosted on this site. The dataset is not yet RDFS-entailed and it utilizes the "http://dev.neo4j.owl.de/" base URI instead of "http://reacome.org/".
DOI: 10.5287/bodleian:qrn18xodg
title: LanCLs have C-glutathionylation activity with potential to trap the eliminylome
DOI: 10.5281/zenodo.4336730
title: Solvation Procedures Assessment of Borohydride Reduction of Carbon Dioxide

description: Pathways, structures, gas-phase and solvation energies of aqueous borohydride reduction of carbon dioxide. <strong>Contents</strong> <strong>data</strong> Computational chemistry output files for gas-phase electronic energies, solvation energies, and QM/MM MD simulations are provided. They are organized by the method used to seek the reaction pathway. neb: contains computations involved with the g-SSNEB pathway from Groenenboom and Keith. gsm: contains computations either in preparation or execution of growing string method (GSM) calculations. The lego module of ABCluster was used to generate candidate starting structures. other: contains miscellaneous computations for additional analyses. scripts: contains all Python code used to generate Chemical JSON and CSV files. qmmm: contains GAMESS QM/MM MD trajectories and WHAM analyses. Note: the QM/MM MD data is in the zip with the "qmmm" suffix. Everything else is in the other zip. <strong>figures</strong> Contains Python scripts and figures made with matplotlib. Python files are named according to the data they use; for example, figure-neb.py is the code for figures that plot the various g-SSNEB pathways. Figures are organized according to where they appear: directly in the article (article/) or as supplemental information (si/). <strong>structures</strong> XYZ files relevant to this study organized by the chain-of-states method.
description: The QM/MM data was moved into its own zip to avoid having to download a large amount of unwanted data. No other changes were made.