cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nwj5p2gv37.2
title: Experimental data on Single Pulsed Power Plasma Discharge Test for Fractures Initiation and Synchronized Diagnostics Using Electromagnetic Wave Method

description: The data of the researches describe experiments using 2kJ of stored energy achieved peak pressures of up 200 MPa (29,000 psi). These shockwave pressures were generated by typical plasma duration of 6-16.5 microseconds. Ionizable material aluminum was used as fusible link in the plasma discharge to introduce thermite ionic recombination reactions other than the original electrical pulse. Two groups of four cylindrical test samples were built under different conditions: water-to-cement ratio, wellbore size, and tubing perforations. Their purpose was to test the effect of the high-pressure shockwave over a range mimicking common rock properties and current completion methods. In all these experiments, the relevant electromagnetic fields were measured at some distance from the plasma. In both laboratory and near zone field applications where transient magnetic effects dominate, the techniques to measure dynamic magnetic fields are limited. Therefore flat induction search coils based on Faraday’s law were used to measure the time derivative of the magnetic fields generated. In order to compare with the experimentally measured data from the search coils the time derivatives of the simulated fields were calculated.
DOI: 10.17632/yngsgw3cn9.1
title: Gender differences in the taste of food, the relationship with meals and eating habits.

description: Gender differences in the taste of food, the relationship with meals and eating habits Mauro Lombardo – Giovanni Aulisa - Elvira Padua - Giuseppe Annino - Ferdinando Iellamo - Massimiliano Caprio - Alfonso Bellia
DOI: 10.5519/qd.o9u8o7gu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.14469/hpc/5489
title: test lic met

description: fsdf
DOI: 10.14469/hpc/5490
title: t3

description: sdrfsdf
DOI: 10.14469/hpc/5491
title: t4

description: edsdf
DOI: 10.14469/hpc/5492
title: t5

description: dfgdfg
DOI: 10.14469/hpc/5493
title: t6

description: dfgdfg
DOI: 10.14469/hpc/5494
title: test lic meta ys

description: ddfgdfg
DOI: 10.5061/dryad.52kd8tg/1
title: Lackey_LifetimeFitnessTigerSalamanders_LifeHistoryData_2019.04.11

description: Life history data for 1,317 adult salamanders (description of column names is in separate file)
DOI: 10.5061/dryad.52kd8tg/2
title: Lackey_LifetimeFitnessTigerSalamanders_LifeHistoryData_2019.04.11_ColumnNames

description: Column names for Lackey_LifetimeFitnessTigerSalamanders_LifeHistoryData_2019.04.11.csv
DOI: 10.17632/25ttzhjxyw.1
title: Data for: Mixed steepest descent algorithm for the traveling salesman problem and its application in emergency air logistics

description: Large-scale sampling experiment data
DOI: 10.5281/zenodo.2640723
title: NEMO Reference configurations inputs

description: Input archives for running the configurations included in NEMO 4.0 | AGRIF_DEMO: <em>AGRIF_DEMO_v4.0.tar, ORCA2_ICE_v4.0.tar</em> AMM12: <em>AMM12_v4.0.tar</em> C1D_PAPA: <em>INPUTS_C1D_PAPA_v4.0.tar</em> ORCA2_ICE_PISCES: <em>ORCA2_ICE_v4.0.tar, INPUTS_PISCES_v4.0.tar</em> ORCA2_OFF_PISCES: <em>ORCA2_OFF_v4.0.tar, INPUTS_PISCES_v4.0.tar</em> ORCA2_OFF_TRC: <em>ORCA2_OFF_v4.0.tar</em> ORCA2_SAS_ICE: <em>ORCA2_ICE_v4.0.tar, INPUTS_SAS_v4.0.tar</em> SPITZ12: <em>SPITZ12_v4.0.tar</em>
description: In NEMO-PISCES v4.0 and v3.6 we assume that the units of Nitrogen deposition data in the inputs file are in kgN/m2/s. In the previous version, the units was supposed to be in mg/m2/yr. And so the data in the input nitrogen deposition file - ndeposition.orca.nc need to be changed. We keep the old units ( mg/m2/yr ) by renaming the variable ndep to ndep2 and we add a variable ndep in the new units ( kg/m2/s ) : ndep = ndep2/(86400*365*1e6)
DOI: 10.5281/zenodo.2640762
title: Grid for T-UGO

description: The file corresponds to the grid used in T-UGO simulations described in the paper entitled "Sensitivity study on the main tidal constituents of the Gulf of Tonkin by using a frequency-domain tidal solver". It integrates the bathymetry and the coastlines developped for this specific study.
DOI: 10.17632/8vs4sjg434.1
title: Data for: Patterns of ongoing thought in older age are associated with changes in functional connectivity between temporal and prefrontal regions.

description: SPSS file for behavioural data and connectivity scores
DOI: 10.5255/ukda-sn-853598
title: Curiosity-based learning in infants: a neurocomputational approach, experimental data 2017-2018
DOI: 10.5281/zenodo.2640767
title: NEMO Reference configurations inputs

description: Input archives for running the configurations included in NEMO 3.6: AMM12, C1D_PAPA, ORCA2_LIM[3], ORCA2_LIM_PISCES, ORCA2_OFF_PISCES and ORCA2_SAS_LIM
description: In NEMO-PISCES v4.0 and v3.6 we assume that the units of Nitrogen deposition data in the inputs file are in kgN/m2/s. In the previous version, the units was supposed to be in mg/m2/yr. And so the data in the input nitrogen deposition file - ndeposition.orca.nc need to be changed. We keep the old units ( mg/m2/yr ) by renaming the variable ndep to ndep2 and we add a variable ndep in the new units ( kg/m2/s ) : ndep = ndep2/(86400*365*1e6)
DOI: 10.17632/hnbygndt35.1
title: QSM data

description: Hybrid image based on Quantitative susceptibility mapping and T1w images for DBS planning
DOI: 10.17632/8y7628b96z.1
title: Health Data

description: This health data set also contains 16 attributes collected from different clinical lab and hospital on the basis of which risk analysis can be done
DOI: 10.17632/8y7628b96z.2
title: HealthRiskData_Ver_3

description: This health data set also contains 16 attributes collected from different clinical lab and hospital on the basis of which risk analysis can be done
DOI: 10.5063/f1ww7fz2
title: Regional commercial salmon permit earnings by residency status, Alaska, 1975-2016

description: This dataset synthesizes several existing datasets of permit earnings to estimate permit earnings by residency status in Alaskan commercial salmon fisheries by the region in which fish are harvested. The Alaska Department of Fish and Game Basic Information Tables (Alaska Department of Fish and Game, Commercial Fisheries Entry Commission. 2018. Commercial Fisheries Entry Commission Basic Information Table, 1975-2016. Knowledge Network for Biocomplexity. doi:10.5063/F1HX19Z2) were used in conjunction with the Commercial Fisheries Entry Commission public permit database (Commercial Fisheries Entry Commision CFEC. 2016. Commercial Fisheries Entry Commision Public Permit Database from 1975-2016. Knowledge Network for Biocomplexity. doi:10.5063/F12R3PZM.) and available fish ticket data (Alaska Department of Fish and Game, Commercial Fisheries Entry Commission. 2018. Commercial Fisheries Entry Commission Permit Earnings, 1975-2016. Knowledge Network for Biocomplexity. doi:10.5063/F1D50K8H) to create the best possible estimate of regional earnings with residency information. These three datasets were used in conjunction since a portion of the fish ticket data is confidential, and public data using higher levels of aggregation with the regions of interest for this study was not available. The data here are presented as earnings by residency. Residency is categorized as nonresident (permit owner resides outside of Alaska), resident local rural (permit owner resides in the same district as the fishery, in a rural community), resident local urban (permit owner resides in the same district as the fishery, in an urban community), resident nonlocal rural (permit owner resides in a different district than the fishery, in a rural community), and resident nonlocal urban (permit owner resides in a different district than the fishery, in an urban community). The urban/rural distinction is made on a community basis by the Alaska Department of Fish and Game. All earnings values are presented in adjusted 2017 dollars using the Bureau of Labor Statistics Consumer Price Index data for Anchorage. Included in this dataset is a file with annual total earnings by region and residency (regional_earnings_residency.csv), an R markdown document used to make the file (permitearnings.Rmd), several reference tables used in data formatting, and figures showing results by region.
DOI: 10.17632/28fwpss9r2.1
title: Data for: The Micro-level Dynamics of Residential Electricity Consumption

description: The raw data sources are American Housing Survey National datasets from 2001 to 2015 (file location was D:/Dissertation1/Data/National). An example of sub-folder is "AHS 2001 National PUF v1.1 CSV" and under this folder there are multiple .csv files (e.g. "thoushld.csv"). I added iPhthon formatted R file for data cleaning and its final outcome is uploaded as "dataall_panel_180204.csv".
DOI: 10.25345/c5b913
title: MassIVE MSV000083688 - Discrimination of Isomers of Released N- and O-Glycans Using Diagnostic Product Ions in Negative Ion PGC-LC-ESI-MS/MS
title: We used porous graphitized carbon-LC-ESI-MS/MS to separate and detect released N- and O-glycan isomers from mammalian model glycoproteins using negative mode resonance activation CID-MS/MS. By interrogating similar fragment spectra from closely related glycan isomers that differ only in arm position and sialyl linkage, product fragment ions for discrimination between these features were discovered.

These diagnostic ions were shown to be useful for isomer discrimination using both linear and 3D ion trap mass spectrometers when analyzing complex glycan mixtures from cell lysates. This platform-independent workflow can potentially be extended to automate the characterization and quantitation of other challenging glycan isomers.
DOI: 10.5281/zenodo.2641251
title: Spread of the non-native anemone Anemonia alicemartinae (Häussermann & Försterra, 2005) along the Humboldt-current large marine ecosystem: an ecological niche model approach

description: Environmental variables
DOI: 10.25345/c5qg98
title: MassIVE MSV000083685 - Wigington_CalcineurinPhosphataseSignaling
title: The files are associated with a manuscript submitted for publication by Callie P. Wigington et al. The main goal of this paper was to identify how calcineurin (CN) binds substrates via PxIxIT and LxVP motifs, elucidated through short linear motifs (SLiM) discovery.
DOI: 10.17632/jk3grwnf7w.1
title: Data for: Facility Location Allocation Modelling for Bio-Energy System in Anambra State of Nigeria: Integration of GIS and Location Model

description: This is data on the daily and yearly livestock waste generated from the cities in the study area
DOI: 10.5281/zenodo.2641259
title: Spread of the non-native anemone Anemonia alicemartinae (Häussermann & Försterra, 2005) along the Humboldt-current large marine ecosystem: an ecological niche model approach

description: Environmental variables
DOI: 10.6073/pasta/cfa7156d3987bf009c8c9920a7d78938
title: Land Change Trajectories across Four Watersheds in the Upper Little Tennessee River Basin

description: These data were collected to reconstruct spatially explicit land use/land cover change trajectories that were temporally consistent and at very high accuracies for a selection of watersheds in Macon County, NC: Cartoogechaye, Coweeta, Skeenah and Watauga. Buildings (points) and roads (lines) were digitized from historic maps and aerial photographs and aligned where necessary for temporal consistency. Land cover was simultaneously classified across all years for each 25x25m pixel (1/16 ha) in order to maximize temporal consistency.
DOI: 10.5063/f1s46q72
title: Estimate of total Alaskan salmon abundance by region, 2000-2015

description: This dataset compiles salmon escapement data from Alaska Department of Fish and Game reports and salmon harvest data from commercial, personal use, sport fish, and subsistence sectors to generate an estimate of total salmon abundance in each of the regions defined by the State of Alaska's Salmon and People Project (SASAP). This dataset was assembled to enable a broad view of the salmon resource, whether biological (escapement) or economic/cultural (harvest), across regions. With that intent in mind, a fish is counted within a region if it escaped a fishery and was counted in a river that is contained within that region, or if it was caught in a fishery that is within the region. For commercial fisheries, each commercial fishing district was assigned to a region based on the location of the commercial fishing district relative to the bounding watersheds of the region. No effort was made to determine the region of origin for any commercially caught fish - thus for some regions, fish caught in one region may have been headed to spawn in another. This is especially true of Alaska Peninsula and Aleutian Islands commercial fishing areas, which are well known for having large amounts of Bristol Bay bound fish. Note that some regions have missing escapement data during some years. This dataset includes an R Markdown file which processes the original data and creates figures, the rendered html file generated from running the R Markdown file which includes many figures and data explanation, and several standalone versions of those figures. Data sources: Jeanette Clark and Alaska Department of Fish and Game, Division of Commercial Fisheries Alaska Department of Fish and Game, Division of Sport Fish Alaska Department of Fish and Game, Division of Subsistence. Harvest of Salmon across Commercial, Subsistence, Personal Use, and Sport Fish sectors, Alaska, 1995-2016. Knowledge Network for Biocomplexity. doi:10.5063/F1TT4P73 Andrew Munro and Eric Volk. 2018. Summary of Pacific Salmon Escapement Goals in Alaska with a Review of Escapements from 2001 to 2009. Knowledge Network for Biocomplexity. doi:10.5063/F1416VB4 Andrew Munro and Eric Volk. 2017. Summary of Pacific Salmon Escapement Goals in Alaska with a Review of Escapements from 2007 to 2015. Knowledge Network for Biocomplexity. doi:10.5063/F1GX48V4 James Savereide. 2017. Estimated annual Chinook Salmon escapement at Copper River from 1980 to 2016. Knowledge Network for Biocomplexity. doi:10.5063/F1G15Z4D.
DOI: 10.5281/zenodo.2634597
title: DeepThought DPR: Distributed peer review enhanced with natural language processing and machine learning - Dataset I

description: This is the anonymized dataset obtained from the DPR Experiment run at ESO in Fall 2018. If this dataset is used both this DOI as well as the main paper need to be cited.
DOI: 10.5281/zenodo.2634598
title: DeepThought DPR: Distributed peer review enhanced with natural language processing and machine learning - Dataset I

description: This is the anonymized dataset obtained from the DPR Experiment run at ESO in Fall 2018. If this dataset is used both this DOI as well as the main paper need to be cited.
DOI: 10.5281/zenodo.2641232
title: Semantic Triples from "A Collaborative, Realism-Based, Electronic Healthcare Graph: Public Data, Common Data Models, and Practical Instantiation"

description: These RDF triples (synthea_graph_exportable.nq.zip) are the result of modeling electronic health records (synthea_csv_output_turbo_cannonical.zip), that were synthesized with the Synthea software (https://github.com/synthetichealth/synthea). Anyone who loads them into a triplestore database is encouraged to provide feedback at https://github.com/PennTURBO/EhrGraphCollab/issues. The following abstract comes from a paper, describing the semantic instantiation process, and presented to the ICBO 2019 conference (https://drive.google.com/file/d/1eYXTBl75Wx3XPMmCIOZba-8Cv0DIhlRq/view). ABSTRACT: There is ample literature on the semantic modeling of biomedical data in general, but less has been published on realism-based, semantic instantiation of electronic health records (EHR). Reasons include difficult design decisions and issues of data governance. A collaborative approach can address design and technology utilization issues, but is especially constrained by limited access to the data at hand: protected health information. Effective collaboration can be facilitated by public EHR-like data sets, which would ideally include a large variety of datatypes mirroring actual EHRs and enough records to drive a performance assessment. An investment into reading public EHR-like data from a popular common data model (CDM) is preferable over reading each public data set’s native format. In addition to identifying suitable public EHR-like data sets and CDMs, this paper addresses instantiation via relational-to-RDF mapping. The completed instantiation is available for download, and a competency question demonstrates fidelity across all discussed formats.
DOI: 10.5281/zenodo.2641233
title: Semantic Triples from "A Collaborative, Realism-Based, Electronic Healthcare Graph: Public Data, Common Data Models, and Practical Instantiation"

description: These RDF triples are the result of modeling electronic health care records synthesized with Synthea software and can be loaded into a triplestore.  The following abstract comes from a paper, describing the semantic instantiation process, and submitted to the ICBO 2019 conference.

 

ABSTRACT:  There is ample literature on the semantic modeling of biomedical data in general, but less has been published on realism-based, semantic instantiation of electronic health records (EHR). Reasons include difficult design decisions and issues of data governance. A collaborative approach can address design and technology utilization issues, but is especially constrained by limited access to the data at hand: protected health information.

Effective collaboration can be facilitated by public EHR-like data sets, which would ideally include a large variety of datatypes mirroring actual EHRs and enough records to drive a performance assessment. An investment into reading public EHR-like data from a popular common data model (CDM) is preferable over reading each public data set’s native format.

In addition to identifying suitable public EHR-like data sets and CDMs, this paper addresses instantiation via relational-to-RDF mapping. The completed instantiation is available for download, and a competency question demonstrates fidelity across all discussed formats.
DOI: 10.18739/a2r785p0g
title: Bathymetric map of Lake Peters, Alaska, 2015
DOI: 10.5281/zenodo.2641166
title: 360° Binaural Room Impulse Response (BRIR) Database for 6DOF spatial perception research

description: by Applied Psychoacoustics Lab, University of Huddersfield

 

Authors: Bogdan Bacila and Hyunkook Lee

bogdan.bacila@hud.ac.uk, h.lee@hud.ac.uk

 

<strong>Description</strong>

An open-access database for 360° binaural room impulse responses (BRIR) captured in a reverberant concert hall. Head-rotated BRIRs were acquired with 3.6° angular resolution for each of 13 different receiver positions, using a custom-made head-rotation system that was automated and integrated with the Huddersfield Acoustical Analysis Research Toolbox. The BRIRs are provided in the SOFA format. The library also contains impulse responses captured using a first-order Ambisonic microphone and an omnidirectional microphone. It is expected that the database would be useful for studying the perception of spatial attributes in a six degrees-of-freedom context.

 

<strong>Folder Structure</strong>

The impulse responses are organised into two main folders:

* Binaural: Contains the SOFA files and MATLAB files for each position, with a 3.6° angular resolution, recorded with the Neumann KU100 binaural head.

* FOA: Contains the First Order Ambisonics audio files in A format and B format for each individual position, recorded with an Sennheiser Ambeo microphone in an end-fire configuration.  

 

<strong>Naming Convention</strong>

The files are named after their relative position on the stage and the distance from the stage:

* C = Centre

* L = Left

* LW = Left Wide

 

<strong>License</strong>

This project is licensed under the CC-BY-4.0 License - see the License.txt file for details

 

<strong>Publication</strong>

This database was presented at the Audio Engineering Society 146th International Convention.

Download link: http://www.aes.org/e-lib/browse.cfm?elib=20371

 

<strong>Referencing</strong>

If you use the database for your research, please reference it as follows.

Bacila, B. I., & Lee, H. (2019). 360° Binaural Room Impulse Response (BRIR) Database for 6DOF Spatial Perception Research. Presented at the Audio Engineering Society Convention 146, Dublin, e-Brief 513
DOI: 10.18739/a2mg7fv6q
title: Chamberlin Creek discharge and suspended sediment concentration, Alaska, 2015-2017
DOI: 10.5281/zenodo.2641165
title: 360° Binaural Room Impulse Response (BRIR) Database for 6DOF spatial perception research

description: by Applied Psychoacoustics Lab, University of Huddersfield

 

Authors: Bogdan Bacila and Hyunkook Lee

bogdan.bacila@hud.ac.uk, h.lee@hud.ac.uk

 

<strong>Description</strong>

An open-access database for 360° binaural room impulse responses (BRIR) captured in a reverberant concert hall. Head-rotated BRIRs were acquired with 3.6° angular resolution for each of 13 different receiver positions, using a custom-made head-rotation system that was automated and integrated with the Huddersfield Acoustical Analysis Research Toolbox. The BRIRs are provided in the SOFA format. The library also contains impulse responses captured using a first-order Ambisonic microphone and an omnidirectional microphone. It is expected that the database would be useful for studying the perception of spatial attributes in a six degrees-of-freedom context.

 

<strong>Folder Structure</strong>

The impulse responses are organised into two main folders:

* Binaural: Contains the SOFA files and MATLAB files for each position, with a 3.6° angular resolution, recorded with the Neumann KU100 binaural head.

* FOA: Contains the First Order Ambisonics audio files in A format and B format for each individual position, recorded with an Sennheiser Ambeo microphone in an end-fire configuration.  

 

<strong>Naming Convention</strong>

The files are named after their relative position on the stage and the distance from the stage:

* C = Centre

* L = Left

* LW = Left Wide

 

<strong>License</strong>

This project is licensed under the CC-BY-4.0 License - see the License.txt file for details

 

<strong>Publication</strong>

This database was presented at the Audio Engineering Society 146th International Convention.

Download link: http://www.aes.org/e-lib/browse.cfm?elib=20371

 

<strong>Referencing</strong>

If you use the database for your research, please reference it as follows.

Bacila, B. I., & Lee, H. (2019). 360° Binaural Room Impulse Response (BRIR) Database for 6DOF Spatial Perception Research. Presented at the Audio Engineering Society Convention 146, Dublin, e-Brief 513
DOI: 10.21227/b1h0-5x12
title: NSGA-III

description: This paper presents a fast and open source extension based on the NSGA-II code stored in the repository of the Kanpur Genetic Algorithms Laboratory (KanGAL) and the adjustment of the selection operator. It slightly modifies existing well-established genetic algorithms for many-objective optimization called the NSGA-III, the adaptive NSGA-III (A-NSGA-III), and the efficient adaptive NSGA-III, (A$^2$-NSGA-III). The proposed method is tested on a range of benchmark problems and showcases notable performance improvement.NSGA-II and NSGA-III are frequently employed as a reference for a comparative evaluation of new evolutionary algorithms.However, the latter is proprietary and many researchers have been forced to implement it from scratch with lower performance. Our NSGA-III variations consider static and dynamic reference points where individuals in the first front are contemplated to obtain extreme points that are neither negatives nor repeated. Those algorithms resolve binary and real, constrained and non-constrained Multi-Objective and Many-objective problems. Additionally, when efficient adaptive NSGA-III is employed to solve the Car-Side Impact problem and the Water problem, we find not only visually well-distributed solutions, but also in terms of the Hyper-volume metric compared to the A-NSGA-III and the NSGA-III.