cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2619843
title: Variation in trends of consumption based carbon accounts

description: The United Nations Framework Convention on Climate Change (UNFCCC) requires the annual reporting of greenhouse gas emissions. These inventories focus on emissions within a territory, and do not capture the effect of de-carbonization in developed countries that has resulted simply by the relocation of emissions-intensive production to other countries. Consumption based carbon accounting (CBCA) has been proposed as a complementary method to capture the emissions occurring globally due to final demand in a country. A number of global models have been developed in the last decade in order to operationalise CBCA. However, direct comparison of results from different models yields significant discrepancies in country-level CBCA, which causes concern for the practical use of CBCA. There is a body of existing work on model intercomparison and reliability, but this literature has largely overlooked a main use case of CBCA results: trends over time.  To facilitate temporal intercomparison, we present results of all the major global models and normalise the model results by looking at changes over time of each model relative to a common base year value.  We give an analysis of the variability across the models, both before and after normalisation in order to give insights into robustness (variance) at both national and regional level. The paper is accompanied by the dataset of CBCA results of each country/year with harmonised results (based on the means) and measures of dispersion, providing a useful and often requested baseline dataset for CBCA validation and analysis.
DOI: 10.5281/zenodo.2619859
title: Variation in trends of consumption based carbon accounts

description: The United Nations Framework Convention on Climate Change (UNFCCC) requires the annual reporting of greenhouse gas emissions. These inventories focus on emissions within a territory, and do not capture the effect of de-carbonization in developed countries that has resulted simply by the relocation of emissions-intensive production to other countries. Consumption based carbon accounting (CBCA) has been proposed as a complementary method to capture the emissions occurring globally due to final demand in a country. A number of global models have been developed in the last decade in order to operationalise CBCA. However, direct comparison of results from different models yields significant discrepancies in country-level CBCA, which causes concern for the practical use of CBCA. There is a body of existing work on model intercomparison and reliability, but this literature has largely overlooked a main use case of CBCA results: trends over time.  To facilitate temporal intercomparison, we present results of all the major global models and normalise the model results by looking at changes over time of each model relative to a common base year value.  We give an analysis of the variability across the models, both before and after normalisation in order to give insights into robustness (variance) at both national and regional level. The paper is accompanied by the dataset of CBCA results of each country/year with harmonised results (based on the means) and measures of dispersion, providing a useful and often requested baseline dataset for CBCA validation and analysis.
DOI: 10.25919/5ca0caa4ef4f3
title: Parkes observations for project PX501 semester 2018OCTS_39

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries.  As the observing time has been purchased this proposal (and the related PX500) does not require TAC grading.  The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first (PX500) will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period.  The second type of time (relating to this proposal) will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.2619863
title: Variation in trends of consumption based carbon accounts

description: The United Nations Framework Convention on Climate Change (UNFCCC) requires the annual reporting of greenhouse gas emissions. These inventories focus on emissions within a territory, and do not capture the effect of de-carbonization in developed countries that has resulted simply by the relocation of emissions-intensive production to other countries. Consumption based carbon accounting (CBCA) has been proposed as a complementary method to capture the emissions occurring globally due to final demand in a country. A number of global models have been developed in the last decade in order to operationalise CBCA. However, direct comparison of results from different models yields significant discrepancies in country-level CBCA, which causes concern for the practical use of CBCA. There is a body of existing work on model intercomparison and reliability, but this literature has largely overlooked a main use case of CBCA results: trends over time.  To facilitate temporal intercomparison, we present results of all the major global models and normalise the model results by looking at changes over time of each model relative to a common base year value.  We give an analysis of the variability across the models, both before and after normalisation in order to give insights into robustness (variance) at both national and regional level. The paper is accompanied by the dataset of CBCA results of each country/year with harmonised results (based on the means) and measures of dispersion, providing a useful and often requested baseline dataset for CBCA validation and analysis.
DOI: 10.5517/ccdc.csd.cc220bdv
title: CCDC 1906946: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2019|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: 10.14469/hpc/5374
title: 14c 4-(1-(4-Methoxyphenyl)cyclobutyl)-2-methylphenol

description: Characterization data for compound 14c 4-(1-(4-Methoxyphenyl)cyclobutyl)-2-methylphenol
DOI: 10.14469/hpc/5375
title: 27a 1-(1-(4-Chlorophenyl)cyclobutyl)-2,4-dimethoxybenzene

description: Characterization data for compound 27a 1-(1-(4-Chlorophenyl)cyclobutyl)-2,4-dimethoxybenzene
DOI: 10.14469/hpc/5376
title: 27b 2,4-Dimethoxy-1-(1-phenylcyclobutyl)benzene

description: Characterization data for compound 27b 2,4-Dimethoxy-1-(1-phenylcyclobutyl)benzene
DOI: 10.5281/zenodo.2619848
title: MoMA Collection - Automatic Monthly Update

description: Temporary Description
DOI: 10.5281/zenodo.2619849
title: MoMA Collection - Automatic Monthly Update

description: Temporary Description
DOI: 10.5517/ccdc.csd.cc2206t4
title: CCDC 1906835: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Murray V. Baker, Charlotte C. Williams|2019|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: 10.14469/hpc/5377
title: 27c 2,4-Dimethoxy-1-(1-(4-methoxyphenyl)cyclobutyl)benzene

description: Characterization data for compound 27c 2,4-Dimethoxy-1-(1-(4-methoxyphenyl)cyclobutyl)benzene
DOI: 10.14469/hpc/5378
title: 28 2-(1-(4-Chlorophenyl)cyclobutyl)-5-methylfuran

description: Characterization data for compound 28 2-(1-(4-Chlorophenyl)cyclobutyl)-5-methylfuran
DOI: 10.14469/hpc/5379
title: 29 3-(1-(4-Methoxyphenyl)cyclobutyl)-1-methyl-1H-indole

description: Characterization data for compound 29 3-(1-(4-Methoxyphenyl)cyclobutyl)-1-methyl-1H-indole
DOI: 10.21227/64f9-pk58
title: Sanitation Dataset

description: A new dataset named Sanitation is released to evaluate the HAR algorithm’s performance and benefit the researchers in this field, which collects seven types of daily work activity data from sanitation workers.We provide two .csv files, one is the raw dataset “sanitation.csv”, the other is the pre-processed features dataset which is suitable for machine learning based human activity recognition methods.
DOI: 10.25919/5ca206252fa3b
title: Peak detection and alignment of GCMS data

description: This collection contains the peak detection and alignment results of: 
-- plasmodium falciparum CHMI trial
-- plasmodium vivax CHMI trial
-- healthy control experiment

The peaks were extracted from csv files contained in https://data.csiro.au/dap/landingpage?pid=csiro:38977

For each data set, the original data is either used as raw and/or normalised by the standard chemical 2-Hexanone (measured at the beginning of each day). For peak detection, a noise threshold of 10 was used on all data sets. For the CHMI trials, the breath data and ambient air data were processed separately.
DOI: 10.7910/dvn/ckgwas
title: Replication Data for: "Do We Know What We Are Doing?"

description: Supplementary data for the article "Do We Know What We Are Doing?"
DOI: 10.14469/hpc/5380
title: 30 4-(1-(4-Methoxyphenyl)cyclobutyl)benzene-1,3-diol

description: Characterization data for compound 30 4-(1-(4-Methoxyphenyl)cyclobutyl)benzene-1,3-diol
DOI: 10.14469/hpc/5381
title: 31 4-(1-(4-(Trifluoromethyl)phenyl)cyclobutyl)benzene-1,3-diol

description: Characterization data for compound 31 4-(1-(4-(Trifluoromethyl)phenyl)cyclobutyl)benzene-1,3-diol
DOI: 10.15129/b17b6db6-7c52-46a3-b13a-f89b61e38c0c
title: Data for: "9 W average power, 150 kHz repetition rate diamond Raman laser at 1519 nm, pumped by a Yb fibre amplifier"

description: The names of the *.dat files correspond to figure numbers in the manuscript. The first row in each column indicates the axis name in the figure. These datasets are the results of experiments carried out in the Universities of Strathclyde and Southampton. There are total 4 data files. These were created for the purposes of the UK EPSRC EP/P00041X/1, EPSRC EP/P001254/1; Fraunhofer UK Research Ltd.; Royal Academy of Engineering
DOI: 10.14469/hpc/5382
title: 32 Methyl 2-(4-hydroxy-3-(1-(4-(trifluoromethyl)phenyl)cyclobutyl)phenyl)acetate

description: Characterization data for compound 32 Methyl 2-(4-hydroxy-3-(1-(4-(trifluoromethyl)phenyl)cyclobutyl)phenyl)acetate
DOI: 10.14469/hpc/5383
title: S1 4,6-Bis(1-(4-(trifluoromethyl)phenyl)cyclobutyl)benzene-1,3-diol

description: Characterization data for compound S1 4,6-Bis(1-(4-(trifluoromethyl)phenyl)cyclobutyl)benzene-1,3-diol
DOI: 10.17632/hnzbyhj785.1
title: Data for: Paleoenvironmental reconstruction of the semi-arid Argentine Chaco based on lake multiproxy records over the last six centuries
DOI: 10.17632/wz29w3d2r9.1
title: Data for: Modelling terrestrial route networks to understand inter-polity interactions (southern Etruria, 950-509 BC)

description: Empirical network road network of southern Etruria in five time slices: EIA1E : Early Iron Age 1 Early (950/925 900 BC) EIA1L : Early Iron Age 1 Late (900 850/825 BC) EIA2 : Early Iron Age 2 (850/825 730/720 BC) OA : Orientalizing Age (730/720 580 BC) AA : Archaic Period (580-500 BC)
DOI: 10.14469/hpc/5347
title: 14a 4-(1-(4-Chlorophenyl)cyclobutyl)-2-methylphenol

description: Characterization data for compound 14a 4-(1-(4-Chlorophenyl)cyclobutyl)-2-methylphenol
DOI: 10.17632/ktmfds3gkj.1
title: Data for: Acute expression of the transcription factor Nrf2 after treatment with quinolinic acid is not induced by oxidative stress in the rat striatum

description: These data are the individual raw images that compose the figure 7 and 8.
DOI: 10.5286/isis.e.rb1910512-1
title: Formation and ammonia decomposition behaviour of lithium nitride hydride

description: Ammonia is seen as a key part of the transition to a sustainable energy economy, but needs decomposition catalysts to release its stored hydrogen. Lithium nitride-hydride (Li4NH) has been proposed to play a role in the catalytic decomposition of ammonia by non-stoichiometric lithium imide (Li2NH). Although Li4NH is a known decomposition product of Li2NH, it has yet to be observed under ammonia decomposition conditions. Here, we request three days of instrument time on the POLARIS diffractometer to investigate the role of Li4NH in this reaction by i) conducting an in-situ diffraction experiment on chnges to the structure of Li4NH under ammonia decomposition conditions, and ii) exploring the structural transformation between Li2NH and Li4NH by measuring in-situ diffraction data for the thermal decomposition of Li2NH to Li4NH under vacuum.
DOI: 10.5281/zenodo.2620114
title: Data contained in "22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets" - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757

description: Data contained in “22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets” - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757 by Cinti F.R.*, De Martini P.M.*, Pantosti D.*, Baize S.°, Smedile A.*, Villani F.*, Civico R.*, Pucci S.*, Lombardi A.M.*, Sapia V.*, Pizzimenti L.*, Caciagli M.*, Brunori C.A.*<br> * Istituto Nazionale di Geofisica e Vulcanologia, Italy<br> ° Institut de Radioprotection et de Sûreté Nucléaire, France
DOI: 10.5281/zenodo.2620115
title: Data contained in "20-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets" submitted to Journal of Geophysical Research – Solid Earth by Cinti F.R. et al.

description: Data contained in “20-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets” submitted to Journal of Geophysical Research – Solid Earth by<br>
Cinti F.R.*, De Martini P.M.*, Pantosti D.*, Baize S.°, Smedile A.*, Villani F.*, Civico R.*, Pucci S.*, Lombardi A.M.*, Sapia V.*, Pizzimenti L.*, Caciagli M.*, Brunori C.A.*<br>
* Istituto Nazionale di Geofisica e Vulcanologia, Italy<br>
° Institut de Radioprotection et de Sûreté Nucléaire, France
DOI: 10.14469/hpc/5350
title: 14b 2-Methyl-4-(1-phenylcyclobutyl)phenol

description: Characterization data for compound 14b 2-Methyl-4-(1-phenylcyclobutyl)phenol
DOI: 10.21227/18dx-ab15
title: Wearable RGB Camera Images of Human Locomotion Environments

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/2qyg-0v98
title: Sanitation Dataset

description: A new dataset named Sanitation is released to evaluate the HAR algorithm’s performance and benefit the researchers in this field, which collects seven types of daily work activity data from sanitation workers.We provide two .csv files, one is the raw dataset “sanitation.csv”, the other is the pre-processed features dataset which is suitable for machine learning based human activity recognition methods.
DOI: 10.21227/ebaq-2a68
title: Wearable RGB Camera Images of Human Locomotion Environments

description: The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Approximately 34,254 sampled RGB images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/g5p9-2v46
title: Wearable RGB Camera Images of Human Locomotion Environments

description: The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Approximately 34,254 sampled RGB images were collected and individually labelled.The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.5281/zenodo.776329
title: Aeolian saltation fieldwork: values for impact and fluid threshold analysis

description: Excel spreadsheet (.XLSX) containing the following information for the analysis of impact and fluid thresholds presented by Martin and Kok (2017), for averaging interval of 2 seconds and analysis interval of 1 minute. Data are from field deployments at Jericoacoara (Brazil), Rancho Guadalupe (California), and Oceano (California).

The spreadsheet contains the following fields:


	Date of analysis interval (“Date”).
	Start time of analysis interval (“StartTime”).
	End time of analysis interval (“EndTime”).
	Calculated transport activity (“f_Q”).
	Calculated effective threshold wind speed (“u_th”) in m/s. This value is undefined (“NaN”) for intervals with f_Q = 0 or f_Q = 1.
	Fluid threshold hypothesis predicted transport activity (“f_Q_ft”).
	Impact threshold hypothesis predicted transport activity (“f_Q_it”).
	Dual threshold hypothesis predicted transport activity (“f_Q_dual”).
	Stability parameter (“z/L”) obtained from wind speed fluctuations in corresponding 30-minute time interval. This value is sometimes undefined (“NaN”) for intervals of very weak wind.
	Wind direction (“theta”) in degrees. Value is relative to dominant wind direction at site.


The field measurements from which these values were calculated are described in Martin et al. (2017).

 

<strong>References:</strong>

Martin, R. L. and J. F. Kok (2017), Field evidence for fluid and impact thresholds in aeolian saltation, <em>arXiv:1610.10059v3</em>.

Martin, R. L., J. F. Kok, and M. Chamecki (2017), Comprehensive field campaigns illustrate new methods for characterizing high-frequency variability in aeolian saltation flux, <em>arXiv:1609.08707v2</em>.
DOI: 10.21227/29vk-dv06
title: Wearable RGB Camera Images of Human Locomotion Environments

description: The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Approximately 34,254 sampled RGB images were collected and individually labelled.The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/9fj7-xd98
title: Wearable RGB Camera Images of Human Locomotion Environments

description: The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Approximately 34,254 sampled RGB images were collected and individually labelled.The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/bywf-5263
title: Wearable RGB Camera Images of Human Locomotion Environments

description: The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Approximately 34,254 sampled RGB images were collected and individually labelled.The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/cne9-9h18
title: Wearable RGB Camera Images of Human Locomotion Environments

description: The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Approximately 34,254 sampled RGB images were collected and individually labelled.The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/paxp-c392
title: Wearable RGB Camera Images of Human Locomotion Environments

description: The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Approximately 34,254 sampled RGB images were collected and individually labelled.The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.