cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w99w5ythw8.1
title: Data for: Atomic Insight Into Concurrent He, D, and T Sputtering and Near-Surface Implantation of 3C-SiC Crystallographic Surfaces

description: The files are the processed data correspond to the following figure numbers in the manuscript: Figures 2-4: C-Graphite_HeDT_TRIM.SP.dat, SiC_100_HeDT_MD.dat, SiC_110_HeDT_MD.dat, SiC_110_HeDT_SBE_TRIM.SP.dat, SiC_111G_C_HeDT_MD.dat, SiC_111G_Si_HeDT_MD.dat, SiC_HeDT_TRIM.SP.dat Figure 5: All files labeled ImplantationProfile_*_300K.dat The data is formatted in human readable space-separated value type and can be opened with MS Excel. Each file has header content, indicated by a line starting with #. The header information provides details about the data. ### Interatomic LAMMPS potential file The file SiC_HeH.tersoff.zbl can be used with the LAMMPS molecular dynamics package to simulate SiC along with He and H. The lines below are examples of what should be placed in your LAMMPS input script: pair_style tersoff/zbl pair_coeff * * SiC_HeH.tersoff.zbl Si C He H
DOI: 10.5281/zenodo.1293058
title: Sound source localization with varying amount of visual information in virtual reality [dataset]

description: This is the dataset that belongs to the publication "Sound source localization with varying amount of visual information in virtual reality".

-The file "AVIL_lab.fbx" contains the visual model of the loudspeaker environment that was used throughout the experiment.

-The file "localization_task_instruction_final.docx" contains the information sheet that was handed to the subjects before the experiment.

-The file "localizationData_public.xlsx" contains the responses from the subjects (column B). The responses in azimuth and elevation (columns F&G) are corrected for the pointing bias (columns H&I).
DOI: 10.5281/zenodo.1293059
title: Sound source localization with varying amount of visual information in virtual reality [dataset]

description: This is the dataset that belongs to the publication "Sound source localization with varying amount of visual information in virtual reality".

-The file "AVIL_lab.fbx" contains the visual model of the loudspeaker environment that was used throughout the experiment.

-The file "localization_task_instruction_final.docx" contains the information sheet that was handed to the subjects before the experiment.

-The file "localizationData_public.xlsx" contains the responses from the subjects (column B). The responses in azimuth and elevation (columns F&G) are corrected for the pointing bias (columns H&I).
DOI: 10.5281/zenodo.2561998
title: Synthetic ECG dataset

description: Synthetic dataset with 6888 clean and 6888 noisy ElectroCardioGram (ECG) signals with various levels of strong drifts and random noise (SNR-Signal-to-noise-ratio=-7dB).   

ECG signals (i.e. duration of 10 seconds) with 30000 samples per ECG signal and which vary between 60 heart beats per minute to 100 heart beats per minute.   The voltage varies between 1 mV to 3 mV.
DOI: 10.5281/zenodo.2561997
title: Synthetic ECG dataset

description: Synthetic dataset with 6888 clean and 6888 noisy ElectroCardioGram (ECG) signals with various levels of strong drifts and random noise (SNR-Signal-to-noise-ratio=-7dB).   

ECG signals (i.e. duration of 10 seconds) with 30000 samples per ECG signal and which vary between 60 heart beats per minute to 100 heart beats per minute.   The voltage varies between 1 mV to 3 mV.
DOI: 10.21227/c4nt-ae92
title: Feb10-2019ETDdata

description: This data is the real-time Estimated time of departure in the airspace of China in Feb 10 2019.
DOI: 10.21227/t4e6-g370
title: Feb10-2019ETDdata

description: This data is the real-time Estimated time of departure in the airspace of China in Feb 10 2019.
DOI: 10.17034/f087c320-7579-4942-a95f-f7cd66d6a0c2
title: Rotational asymmetry in photodetachment from F- in circularly polarised laser fields

description: These data are raw wave functions for F- following photo detachment by circularly polarised laser fields. The data are produced using the R-matrix with time-dependence code. Information on the datasets and their post processing may be found the the README file and channel data file.
DOI: 10.14469/hpc/5035
title: Haloamidines, NN cyclisation IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/5036
title: Haloamidines, NN cyclisation, Cl migration -1184.986242

description: Gaussian Calculation
DOI: 10.21223/p3/dccpqh
title: Dataset for: Ecophysiological and remotely sensed measurements taken in a trial testing potential growth of the potato minicore (2017)

description: Field experiment to assess physiological performance of 24 different genotypes, using ecophysiologial traits (net photosynthesis, stomatal conductance, carbon isotope discrimination, fluorescence), yield and remotely sensed variables (leaf area, canopy cover, NDVI) taken by octocopter (drone - 14 multiespectral aerial images were adquired) along the growing season of the first trial of potato minicore carried out under an Augmented design during July-November 2017 at La Molina CIP experimental station (Lima-Peru)
DOI: 10.25919/5c61197127cba
title: Indigenous Land and Sea Investment

description: The Secretariat to the Australian Landcare Council provided a table summarising government and non-government investment programs in ILM. We used this table to guide our searching of web sites and other documents to compile an Excel spreadsheet which now includes 2,229 records of separate projects.  We were not able to source complete data on a number of the identified sources of investment, including those from State governments, investments by private corporations and not-for-profit organisations. Nevertheless, the data set is the most comprehensive that has ever been assembled on ILM in Australia. While substantial literature exists on Indigenous land management, the relevant documents are widely scattered across internet sites, in diverse State and Territory jurisdictions, in regional and local government and non-government organisations, and across sectoral boundaries (e.g. water management reports, biodiversity management reports). We anticipate that the opportunities and barriers faced by Indigenous land managers may vary across locations, sectors and local/regional/national scales. A simple national maps was produced demonstrating the locations of specific studies contained within reviewed literature.
DOI: 10.14469/hpc/5034
title: Haloamidines, NN cyclisation Reactant -1185.034498

description: Gaussian Calculation
DOI: 10.5281/zenodo.2562225
title: High-resolution wind power generation time series for Germany in the period 2000-2015

description: High-resolution wind power generation time series for Germany in the period 2000-2015. A paper describing the applied methodology was submitted to the SpringerOpen-BMC journal “Energy, Sustainability and Society” (ESSO) (https://energsustainsoc.biomedcentral.com/) and will be linked here immediately after acceptance.

The final temporal resolution is hourly and the spatial resolution NUTS 3. The data is stored in csv and hdf5 files.

More information on the data set, e.g. missing time stamps and versioning, can be found in readme.txt.
description: {"references": ["Completion of wind turbine data sets for wind integration studies applying random forests and k-nearest neighbors in Applied Energy. https://doi.org/10.1016/j.apenergy.2017.10.044"]}
DOI: 10.5281/zenodo.2562231
title: Agricultural areas (Comune di Napoli)

description: Urban Atlas based data subset, where every element with CODE 21000,22000,23000,24000 and 25000 was extracted as an agricultural area with the next information:

gid integer area numeric perimeter numeric geom geometry(Polygon,EPSG:3035) albedo real emissivity real transmissivity real vegetation_shadow real run_off_coefficient real building_shadow smallint

This data is an input for local effects calculation.
description: Provenance: Urban Atlas
DOI: 10.5281/zenodo.2562232
title: Agricultural areas (Comune di Napoli)

description: Urban Atlas based data subset, where every element with CODE 21000,22000,23000,24000 and 25000 was extracted as an agricultural area with the next information:

gid integer area numeric perimeter numeric geom geometry(Polygon,EPSG:3035) albedo real emissivity real transmissivity real vegetation_shadow real run_off_coefficient real building_shadow smallint

This data is an input for local effects calculation.
description: Provenance: Urban Atlas
DOI: 10.14469/hpc/5037
title: Haloamidines, NN cyclisation, Cl migration IRC

description: Gaussian Calculation
DOI: 10.17031/hmhpdb
title: 2010-ongoing UK Offshore Marine Conservation Zone (MCZ) Survey Data

description: 2010-ongoing UK Offshore Marine Conservation Zone (MCZ) Survey Data
DOI: 10.21227/5081-yr65
title: Agora Source Signatures for the International Airgun Modelling Workshop

description: This dataset accompanies the IEEE Journal of Oceanic Engineering Special Issue on Verification and Validation of Airgun Source Signature and Sound Propagation Models. The special issue has is its origins in the International Airgun Modelling Workshop (IAMW) held in Dublin, Ireland, on 16 July 2016 (Ainslie et al., 2016). For a number of specified airgun scenarios, participants in the IAMW were asked to use their models to compute source waveforms s(t) corresponding to three airgun sources, including two airgun arrays, as well as sound pressure and sound particle acceleration at specified positions relative to the sources. IAMW participants were given the option of either running their own source signature model(s) or to use data produced by Agora 2 (Sertlek and Ainslie, 2015) and made available by the workshop organizers. Agora 2 is a freely available Matlab® program (www oalib).Three sources, denoted S1, S2 and S3 are specified by Ainslie et al. (2019). S1 is a single airgun. S2 is a line array comprising six airguns, the third of which is the same airgun as S1. S3 is a planar array comprising three nominally parallel sub-arrays, the centre sub-array of which is the same as S2. This dataset provides the Agora 2 source waveforms (“notional signatures”) of the individual airguns for the three sources S1, S2 and S3. References:1. M. A. Ainslie, M.B. Halvorsen, R.P.A. Dekeling, R. Laws, A.J. Duncan, A.S. Frankel, K.D. Heaney, E. T. Küsel, A.O. MacGillivray, M. K. Prior, H.Ö. Sertlek and D. G. Zeddies, Verification of airgun sound field models for environmental impact assessment, Proc. Mtgs. Acoust. 27, 070018, 2. M. A. Ainslie, R. Laws , H.Ö. Sertlek, International Airgun Modelling Workshop: Validation of Source Signature and Sound Propagation Models – Dublin (Ireland), 16 July 2016 – problem description, IEEE Journal of Ocean Engineering, 20193. Sertlek, H.Ö., and Ainslie, M.A., Airgun Source Model (AGORA): Its Application for Seismic Surveys SoundMaps in the Dutch North Sea, Proceedings of UACE 2015, Crete, Greece, 2015, available from https://www.researchgate.net/publication/286360188_AGORA_Airgun_source_signature_model_its_application_for_the_Dutch_seismic_survey, Last accessed 20.03.2018.4. http://oalib.hlsresearch.com, Last accessed 10.00.2019.
DOI: 10.21227/vqvc-3f94
title: Agora Source Signatures for the International Airgun Modelling Workshop

description: This dataset accompanies the IEEE Journal of Oceanic Engineering Special Issue on Verification and Validation of Airgun Source Signature and Sound Propagation Models. The special issue has is its origins in the International Airgun Modelling Workshop (IAMW) held in Dublin, Ireland, on 16 July 2016 (Ainslie et al., 2016). For a number of specified airgun scenarios, participants in the IAMW were asked to use their models to compute source waveforms s(t) corresponding to three airgun sources, including two airgun arrays, as well as sound pressure and sound particle acceleration at specified positions relative to the sources. IAMW participants were given the option of either running their own source signature model(s) or to use data produced by Agora 2 (Sertlek and Ainslie, 2015) and made available by the workshop organizers. Agora 2 is a freely available Matlab® program (www oalib).Three sources, denoted S1, S2 and S3 are specified by Ainslie et al. (2019). S1 is a single airgun. S2 is a line array comprising six airguns, the third of which is the same airgun as S1. S3 is a planar array comprising three nominally parallel sub-arrays, the centre sub-array of which is the same as S2. This dataset provides the Agora 2 source waveforms (“notional signatures”) of the individual airguns for the three sources S1, S2 and S3. References:1. M. A. Ainslie, M.B. Halvorsen, R.P.A. Dekeling, R. Laws, A.J. Duncan, A.S. Frankel, K.D. Heaney, E. T. Küsel, A.O. MacGillivray, M. K. Prior, H.Ö. Sertlek and D. G. Zeddies, Verification of airgun sound field models for environmental impact assessment, Proc. Mtgs. Acoust. 27, 070018, 2. M. A. Ainslie, R. Laws , H.Ö. Sertlek, International Airgun Modelling Workshop: Validation of Source Signature and Sound Propagation Models – Dublin (Ireland), 16 July 2016 – problem description, IEEE Journal of Ocean Engineering, 20193. Sertlek, H.Ö., and Ainslie, M.A., Airgun Source Model (AGORA): Its Application for Seismic Surveys SoundMaps in the Dutch North Sea, Proceedings of UACE 2015, Crete, Greece, 2015, available from https://www.researchgate.net/publication/286360188_AGORA_Airgun_source_signature_model_its_application_for_the_Dutch_seismic_survey, Last accessed 20.03.2018.4. http://oalib.hlsresearch.com, Last accessed 10.00.2019.
DOI: 10.5286/isis.e.rb1910464-1
title: 1910464
DOI: 10.3886/e105080v1-10447
title: Upstart Industrialization and Exports: Evidence from Japan, 1880–1910

description: This is a replication package for the paper titled "Upstart
Industrialization and Exports: Evidence from Japan, 1880–1910". The paper was published by the Journal of Economic History in 2018. The main file is a stata .do file. (ICPSR Replication- Meissner - Tang Upstart Industrialization - JEH - 092019.do) <br><br>We used Stata 15 to create all Stata files. Running this .do file will create results from all tables and figures in the paper. The code from each table and figure is commented in the .do file. There are many auxiliary files that must be called. These can be found in the associated .zip file. <br><br>There is one excel file included in the zip archive "Japan_trade_tables_figures-JEH-Meissner-Tang-Japan.xlsx" which has versions of the published tables and figures with a few other results not published in tabular form in the paper.
DOI: 10.5281/zenodo.2552092
title: Groundwater Storage in High Alpine Catchments and its Contribution to Streamflow

description: Continuously recorded meteorological and hydrological data from the Vallon de Rechy research site.
DOI: 10.5281/zenodo.2552093
title: Groundwater Storage in High Alpine Catchments and its Contribution to Streamflow

description: Continuously recorded meteorological and hydrological data from the Vallon de Rechy research site.
DOI: 10.21227/5ewj-9n67
title: Agora Source Signatures for the International Airgun Modelling Workshop

description: This dataset accompanies the IEEE Journal of Oceanic Engineering Special Issue on Verification and Validation of Airgun Source Signature and Sound Propagation Models. The special issue has is its origins in the International Airgun Modelling Workshop (IAMW) held in Dublin, Ireland, on 16 July 2016 (Ainslie et al., 2016). For a number of specified airgun scenarios, participants in the IAMW were asked to use their models to compute source waveforms s(t) corresponding to three airgun sources, including two airgun arrays, as well as sound pressure and sound particle acceleration at specified positions relative to the sources. IAMW participants were given the option of either running their own source signature model(s) or to use data produced by Agora 2 (Sertlek and Ainslie, 2015) and made available by the workshop organizers. Agora 2 is a freely available Matlab® program (www oalib).Three sources, denoted S1, S2 and S3 are specified by Ainslie et al. (2019). S1 is a single airgun. S2 is a line array comprising six airguns, the third of which is the same airgun as S1. S3 is a planar array comprising three nominally parallel sub-arrays, the centre sub-array of which is the same as S2. This dataset provides the Agora 2 source waveforms (“notional signatures”) of the individual airguns for the three sources S1, S2 and S3. References:1. M. A. Ainslie, M.B. Halvorsen, R.P.A. Dekeling, R. Laws, A.J. Duncan, A.S. Frankel, K.D. Heaney, E. T. Küsel, A.O. MacGillivray, M. K. Prior, H.Ö. Sertlek and D. G. Zeddies, Verification of airgun sound field models for environmental impact assessment, Proc. Mtgs. Acoust. 27, 070018, 2. M. A. Ainslie, R. Laws , H.Ö. Sertlek, International Airgun Modelling Workshop: Validation of Source Signature and Sound Propagation Models – Dublin (Ireland), 16 July 2016 – problem description, IEEE Journal of Ocean Engineering, 20193. Sertlek, H.Ö., and Ainslie, M.A., Airgun Source Model (AGORA): Its Application for Seismic Surveys SoundMaps in the Dutch North Sea, Proceedings of UACE 2015, Crete, Greece, 2015, available from https://www.researchgate.net/publication/286360188_AGORA_Airgun_source_signature_model_its_application_for_the_Dutch_seismic_survey, Last accessed 20.03.2018.4. http://oalib.hlsresearch.com, Last accessed 10.00.2019.
DOI: 10.18739/a2gh9b86q
title: Utqiaġvik shorebird breeding ecology study
DOI: 10.3886/e108422v1
title: Consequences of Forced Migration: A Survey of Recent Findings

description: Forced
migration as a consequence of wars, civil conflicts, or natural disasters may
have consequences different from those of voluntary migration. Recent work has
highlighted the consequences of forced migration on receiving populations, on
migrants themselves and on sending populations. We document findings from
recent work, on education and other economic outcomes, but also on political
outcomes. We summarize key lessons and point to gaps in the literature.
DOI: 10.5281/zenodo.2561326
title: TESS-JANUARY-2019

description: Measurements taken by the European Photometer Network (Project STARS4ALL). January 2019
DOI: 10.5281/zenodo.2561327
title: TESS-JANUARY-2019

description: Measurements taken by the European Photometer Network (Project STARS4ALL). January 2019
DOI: 10.5286/isis.e.rb1910424-1
title: 1910424
DOI: 10.5286/isis.e.rb1910424-2
title: 1910424
DOI: 10.14469/hpc/5031
title: Haloamidines, NN cyclisation, TS -1184.969423

description: Gaussian Calculation
DOI: 10.17861/565ee87b-e6e1-43cc-b020-9408dbc9fa04
title: NMR data supporting the publication: Synergic deprotonation generates alkali‐metal salts of tethered fluorenide‐NHC ligands co‐complexed to alkali‐metal amides

description: Zipped file containing NMR data (JCAMP files).
DOI: 10.21227/cvw4-2a35
title: Locally Linear Embedding and fMRI feature selection in psychiatric classification

description: This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection for psychiatric classification.The datasets given in the Links section are a reduced subset of the one contained in the respective tar file (a consequence of Mendeley Data's 10GB limitation).The Linked datasets (not the tar files) contain just the matlab file and the resting state image, where appropriate.The datasets in the tar file contain all of the preprocessing intermediates for the fMRI input to the LLE algorithm.
DOI: 10.21227/e65f-tq05
title: Locally Linear Embedding and fMRI feature selection in psychiatric classification

description: This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection in psychiatric classification.The datasets given in the Links section are reduced subsets of those contained in their respective tar files (a consequence of Mendeley Data's 10GB limitation).The Linked datasets (not the tar files) contain just the MATLAB file and the resting state image (or block-design fMRI for the MRN dataset), where appropriate.The datasets in the tar file contain all of the preprocessing intermediates for the fMRI input to the LLE algorithm.
DOI: 10.5281/zenodo.2561334
title: RapidRelease

description: <strong>RapidRelease - A Dataset of Projects and Issues on Github with Rapid Releases</strong>

The RapidRelease dataset is a set of 994 repositories, assorted for research in release engineering, agile development, and CI, in the context of open source development. Refer to the documentation for further details.
DOI: 10.5281/zenodo.2561335
title: RapidRelease

description: <strong>RapidRelease - A Dataset of Projects and Issues on Github with Rapid Releases</strong>

The RapidRelease dataset is a set of 994 repositories, assorted for research in release engineering, agile development, and CI, in the context of open source development. Refer to the documentation for further details.
DOI: 10.5286/isis.e.rb1910524-1
title: 1910524
DOI: 10.25919/5c61322732ca2
title: Parkes observations for project P958 semester 2018OCTS_34

description: A major breakthrough in fast radio burst (FRB) astronomy was recently made when the repeating FRB 121102 was localized to sub-arcsecond precision. The bursts were found to originate in a bright radio nebula (hypothesized to be a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. These dwarf galaxies are also preferential hosts to superluminous supernova and long gamma-ray bursts, and it has been therefore suggested that the source of the repeating FRB could be a young highly magnetised neutron star. While an understanding of the repeating FRB is emerging, it is still unclear what relationship it has to the rest of the population.   Over the last year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 26 bursts, and over the next six month will likely detect another 12 FRBs, which  will be localized to a few arcseconds.   Here we propose to search this population for repeats.  Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections, will either confirm the presence of additional repeating FRBs or the uniqueness of FRB 121102 amongst the population.
DOI: 10.5281/zenodo.2562246
title: He'eia Weather Data

description: Weather data from Kako'o O'iwi at 'Auwai 1.
DOI: 10.5281/zenodo.2562247
title: He'eia Weather Data

description: Weather data from Kako'o O'iwi at 'Auwai 1.
DOI: 10.5517/ccdc.csd.cc1z6zkq
title: CCDC 1823964: Experimental Crystal Structure Determination

description: Related Article: Arjunan Saravanan, Selvaraj Shyamsivappan, Thangaraj Suresh, Gopalan Subashini, Krishna Kadirvelu, Nanjan Bhuvanesh, Raju Nandhakumar, Palathurai Subramaniam Mohan|2019|Talanta|198|249|doi:10.1016/j.talanta.2019.01.114
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.cc20j05r
title: CCDC 1862423: Experimental Crystal Structure Determination

description: Related Article: Darío M. González, Jonathan Cisterna, Iván Brito, Thierry Roisnel, Jean-René Hamon, Carolina Manzur|2019|Polyhedron|162|91|doi:10.1016/j.poly.2019.01.043
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.