cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4225/57/5a2f1263ebe63
title: A thematic analysis of women's perspectives on the acceptability and feasibility of dynamic elastomeric fabric orthoses as a non-pharmacological option during prenatal and postnatal care

description: This dataset consists of the transcribed interview responses from de-identified participants from the predetermined semi-structured telephone interview questions. It supports study JS000397 which aimed to identify the acceptability and feasibility of a DEFO as a non-pharmacological option during prenatal and postnatal care.
DOI: 10.7303/syn22264395.1
title: My Health
DOI: 10.25439/rmt.12665651.v1
title: Machine learning models and predictions for a nucleophilic substitution reaction in ionic liquids

description: Machine learning models were built based on published data for a nucleophilic substitution chemical reaction in ionic liquid-acetonitrile solvents. Models were built relating the rate constant of the reaction to the chemical structure of the ionic liquids.<br><b>Publication title</b>: Towards accurate predictions of the rate constants of organic processes in mixtures containing ionic liquids<br><b>Abstract: </b>The ability to tailor the constituent ions in ionic liquids (ILs) is highly advantageous as it provides access to solvents with a range of physicochemical properties. However, this benefit also leads to large compositional spaces that need to be explored to optimise systems, often involving time consuming experimental work. The use of machine learning methods is an effective way to gain insight based on existing data, to develop structure-property relationships and to allow the prediction of ionic liquid properties. Here we have applied machine learning models to experimentally determined rate constants of a representative organic process (the reaction of pyridine with benzyl bromide) in IL-acetonitrile mixtures. Multiple linear regression (MLREM) and artificial neural networks (BRANNLP) were both able to model the data well. The MLREM model was able to identify the structural features on the cations and anions that had the greatest effect on the rate constant. Secondly, predictive MLREM and BRANNLP models were developed from the full initial set of rate constant data. From these models, a large number of predictions (&gt;9000) of rate constant were made for mixtures of different ionic liquids, at different proportions of ionic liquid and molecular solvent, at different temperatures. A selection of these predictions were tested experimentally, including through the preparation of novel ionic liquids, with overall good agreement between the predicted and experimental data. This study highlights the benefits of using machine learning methods on kinetic data in ionic liquid mixtures to enable the development of rigorous structure-property relationships across multiple variables simultaneously, and to predict properties of new ILs and experimental conditions.
DOI: 10.7910/dvn/kcbeon/bi6rsq
title: phenotype_data.tab

description: :unav
DOI: 10.7910/dvn/kcbeon/wcvshj
title: Uploaded data description.docx

description: :unav
DOI: 10.7910/dvn/kcbeon/9eiydu
title: genotype.vcf.gz

description: :unav
DOI: 10.7910/dvn/kcbeon/cmnaba
title: geneotype_checkmd5.md5

description: :unav
DOI: 10.5281/zenodo.3931454
title: Continuous MODIS land surface temperature dataset over the Eastern Mediterranean

description: A continuous dataset of Land Surface Temperature (LST) is vital for climatological and environmental studies. LST can be regarded as a combination of seasonal mean temperature (climatology) and daily anomaly, which is attributed mainly to the synoptic-scale atmospheric circulation (weather). To reproduce LST in cloudy pixels, time series (2002-2019) of cloud-free 1km MODIS Aqua LST images were generated and the pixel-based seasonality (climatology) was calculated using temporal Fourier analysis. To add the anomaly, we used the NCEP Climate Forecast System Version 2 (CFSv2) model, which provides air surface temperature under both cloudy and clear sky conditions. The combination of the two sources of data enables the estimation of LST in cloudy pixels. The dataset consists of geo-located continuous LST (Day, Night and Daily) which calculates LST values of cloudy pixels. The spatial domain of the data is the Eastern Mediterranean, at the resolution of the MYD11A1 product (~1 Km). Data are stored in GeoTIFF format as signed 16-bit integers using a scale factor of 0.02, with one file per day, each defined by 4 dimensions (Night LST Cont., Day LST Cont., Daily Average LST Cont., QA). The QA band stores information about the presence of cloud in the original pixel. If in both original files, Day LST and Night LST there was NoData due to clouds, then the QA value is 0. QA value of 1 indicates NoData at original Day LST, 2 indicates NoData at Night LST and 3 indicates valid data at both, day and night. File names follow this naming convention: LST_ &lt;YYYY_MM_DD&gt; .tif, where &lt;YYYY &gt; represents the year, &lt;MM&gt; represents the month and &lt;DD&gt; represents the day. Files of each year (2002-2019) are compressed in a ZIP file. The file LSTcont_validation.tif contains the validation dataset in which the MAE, RMSE, and Pearson (<em>r</em>) of the validation with true LST are provided. Data are stored in GeoTIFF format as signed 32-bit floats, with the same spatial extent and resolution as the LSTcont dataset. These data are stored with one file containing three bands (MAE, RMSE, and Perarson_r).
DOI: 10.7303/syn22264398.1
title: AM Check-in
DOI: 10.5281/zenodo.3952862
title: Dataset for Wistell-A stellarator

description: The dataset includes three VMEC input files, one for a midscale device and one for a reactor scale device and one for the turbulence reduced configuration. These configurations were featured in the publication in the Journal of Plasma Physics: "Advancing the Physics Basis for Quasihelically Symmetric Stellarators" <br> Also included are coils for a reactor scale device.
DOI: 10.15468/8cdb9s
title: On the morphology of the astragalus and calcaneus of the amphicyonids (Carnivora, Mammalia) from the Paleogene of Europe: implications for the ecology of the European bear-dogs

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fournier, Morgane, Ladevèze, Sandrine, Verger, Kévin Le, Fischer, Valentin, Speijer, Robert P., Solé, Floréal (2020): On the morphology of the astragalus and calcaneus of the amphicyonids (Carnivora, Mammalia) from the Paleogene of Europe: implications for the ecology of the European bear-dogs. Geodiversitas 42 (18): 305-325, DOI: 10.5252/geodiversitas2020v42a18
DOI: 10.5281/zenodo.3952861
title: Dataset for Wistell-A stellarator

description: The dataset includes three VMEC input files, one for a midscale device and one for a reactor scale device and one for the turbulence reduced configuration. These configurations were featured in the publication in the Journal of Plasma Physics: "Advancing the Physics Basis for Quasihelically Symmetric Stellarators" <br> Also included are coils for a reactor scale device.
DOI: 10.7303/syn22264410.1
title: PM Check-in
DOI: 10.7910/dvn/xx3yj4/oudyz0
title: MN 2016 President-1.tab

description: Version 1.3
DOI: 10.21227/9ej0-j211
title: Uncertainty Added S-Parameters of High Power RF Transistors

description: S-parameter data with uncertainty information are presented in the data set. High power RF transistors are measured with a regular measurement setup, consisting of a VNA, coaxial cables, bias tees, and fixture. Measured transistors are FLL57MK (GaAs-FET), LP601 (LDMOS-FET), CLF1G0060S-10 (GaN-HEMT), T2G6000528-Q3 (GaN-HEMT), CGH40010-F (GaN-HEMT). The data can be used to analyze for uncertainty studies and designing with uncertainty added S-parameters.
DOI: 10.21227/kdse-7k77
title: Uncertainty Added S-Parameters of High Power RF Transistors

description: S-parameter data with uncertainty information are presented in the data set. High power RF transistors are measured with a regular measurement setup, consisting of a VNA, coaxial cables, bias tees, and fixture. Measured transistors are FLL57MK (GaAs-FET), LP601 (LDMOS-FET), CLF1G0060S-10 (GaN-HEMT), T2G6000528-Q3 (GaN-HEMT), CGH40010-F (GaN-HEMT). The data can be used to analyze for uncertainty studies and designing with uncertainty added S-parameters.
DOI: 10.7910/dvn/xx3yj4/zpmawj
title: Pres_Elec_Data_2020_PrimD-1.tab

description: Version 0.7
DOI: 10.7910/dvn/xx3yj4/9jdxzs
title: AK 1992 President.tab

description: Version 1.2
DOI: 10.7910/dvn/xx3yj4/yzhcju
title: TurnoutData2012.tab

description: :unav
DOI: 10.18434/m32263
title: Optical Modeling of Single Asian Dust and Marine Air Particles: A Comparison with Geometric Particle Shapes for Remote Sensing

description: The project that produced these data involved the analysis and modeling of atmospheric Asian dust particles and background marine air particles collected in Hawaii, USA at the Mauna Loa Observatory (MLO) of the National Oceanic and Atmospheric Administration. Individual heterogeneous dust particles were analyzed with focused ion-beam scanning electron microscopy and energy-dispersive X-ray spectroscopy. Three-dimensional spatial and composition models of the particles from focused ion-beam tomography were used in the calculation of optical properties by the discrete dipole approximation method with incident light at 589 nm. Optical properties included the phase function, extent of linear polarization, scattering, backscattering, and extinction cross sections, and the backscatter fraction. In addition, the project involved optical property calculations for particles as geometric shapes with volumes equivalent to those of the MLO particles. Shapes modeled for each particle included spheres, spheroids, ellipsoids, cubes, square prisms, rectangular prisms, tetrahedra, and triangular pyramids. The representation of particles as geometric shapes is an important component of algorithms used in remote sensing (satellite-based and ground-based) for determining how atmospheric dust affects climate. The dataset consists of Microsoft Excel and Word files, text files, and bitmap image files. The Asian dust particles in the dataset are labeled: CaMg 1D, CaMg 2N, CaMg 3D, CaMg 4N1, Ca-rich 1D, Ca-rich 2N, Ca-rich 3D, Ca-rich 4N1, Ca-rich 4N2. The background marine air particles are labeled: Ca-S 1D, Ca-S 2N, Ca-S 3D, Ca-S 4N.Data are contained in seven folders arranged by the following topics:1 -- Particle compositions by FIB-SEM-EDX and volumes of material phases within particles (folder: 1_Particle_Compositions_Volumes);2 -- Spatial and optical parameters for optical modeling of particles and geometric shapes (folder: 2_Particles_Shapes_Spatial_Optical_Parameters (and subfolders));3 -- Complex refractive indices for particles and shapes based on Maxwell Garnett average dielectric function (folder: 3_Complex_RIs_Maxwell_Garnett (and subfolders));4 -- Results from discrete dipole approximation modeling software DDSCAT ver. 7.3 (folder: 4_DDSCAT_Scattering_Output (and subfolders));5 -- Mueller scattering matrix elements (folder: 5_Matrix_Elements (and subfolders));6 -- Root-mean-square calculations for phase function and degree of linear polarization (folder: 6_PhaseFunction_LinearPolarization_RMS);7 -- Calculations for the backscatter fraction (folder: 7_Backscatter_Fraction)
DOI: 10.7910/dvn/xx3yj4/4nbzio
title: TurnoutData2016.tab

description: Version 1.1
DOI: 10.7910/dvn/xx3yj4/5mv026
title: NH 1996 President.tab

description: Version 1.1
DOI: 10.7910/dvn/xx3yj4/d5kdtl
title: SD 2016 President-1.tab

description: Version 1.1
DOI: 10.7910/dvn/xx3yj4/h9q7vv
title: AK 1996 President.tab

description: Version 1.2
DOI: 10.7910/dvn/xx3yj4/fi0enn
title: Pres_Election_Data_1980-1.tab

description: Version 1.2
DOI: 10.7910/dvn/xx3yj4/dwbc0a
title: NV 2016 President-1.tab

description: Version 1.0
DOI: 10.7303/syn22264412.1
title: Sleep Quality Checker
DOI: 10.7303/syn22264418.1
title: Sleepiness Checker
DOI: 10.25919/5f051946f2965
title: Groundwater hydrochemistry and environmental tracer samples for "Flow Across Faults" sites

description: Hydrochemical and environmental tracer data for groundwater samples obtained for the Flow Across Faults component of the Goyder South East project. Data includes measurements of major ion, stable isotope, carbon-14, CFC, SF6 and Helium-4 composition. Data were collected from 12 groundwater wells during November 2012. Well identifier, location and construction details are included in the dataset.
DOI: 10.25919/5f051982ae71d
title: Groundwater hydrochemistry and environmental tracer samples from submarine discharge sites

description: Groundwater hydrochemical and environmental tracer data from wells sampled as part of the Submarine Groundwater Discharge component of the Goyder South East project. Data includes measurements of major ion, stable isotope, radon, radium, and helium-4 composition. Data were collected from sixwells during November 2012. Well identifier, location and construction details are included in the dataset.
DOI: 10.7303/syn22264428.1
title: Nap Tracker
DOI: 10.21227/nfw5-wj48
title: Power Amplifier Design with Uncertainty Added S-Parameters

description: In this data set, a power transistor’s uncertainty added S-parameters, its estimated S-parameters, uncertainty added S-parameters of a power amplifier circuit, uncertainty added S-parameters of a cascaded amplifier, and amplifier’s design files are presented. Sumitomo’s GaAs-FET FLL57MK is used for the measurements and design. Cadence AWR is used for the power amplifier design. The power amplifier is designed for 2.4 GHz, using S-parameters. Uncertainty added S-parameters of the transistor, power amplifier, and cascaded power amplifier can be used to analyze measurement uncertainty on the design and implementation of a power amplifier.
DOI: 10.21227/y76t-r556
title: OOK Data

description: OOK dataset for our network
DOI: 10.21227/xa0b-pe36
title: OOK Data

description: OOK dataset for our network
DOI: 10.21227/7z6e-8n08
title: Power Amplifier Design with Uncertainty Added S-Parameters

description: In this data set, a power transistor’s uncertainty added S-parameters, its estimated S-parameters, uncertainty added S-parameters of a power amplifier circuit, uncertainty added S-parameters of a cascaded amplifier, and amplifier’s design files are presented. Sumitomo’s GaAs-FET FLL57MK is used for the measurements and design. Cadence AWR is used for the power amplifier design. The power amplifier is designed for 2.4 GHz, using S-parameters. Uncertainty added S-parameters of the transistor, power amplifier, and cascaded power amplifier can be used to analyze measurement uncertainty on the design and implementation of a power amplifier.
DOI: 10.5281/zenodo.3952919
title: Data from Jenkinson et al. 2020: Biogeographical variation in the distribution, abundance, and interactions among key species on rocky reefs of the northeast Pacific

description: See Metadata tab for full description of transect survey data.
DOI: 10.5281/zenodo.3952918
title: Data from Jenkinson et al. 2020: Biogeographical variation in the distribution, abundance, and interactions among key species on rocky reefs of the northeast Pacific

description: See Metadata tab for full description of transect survey data.
DOI: 10.5281/zenodo.3952893
title: Constraining properties of the next nearby core-collapse supernova with multi-messenger signals: multi-messenger signals

description: 1D FLASH simulations with STIR, for alpha_lambda = 1.23, 1.25, and 1.27. Run with SFHo EOS, M1 with 12 energy groups. For more information on these simulations, see Warren, Couch, O'Connor, & Morozova (arXiv:1912.03328) and Couch, Warren, & O'Connor (2020). Includes the multi-messenger data from the STIR simulations. The filename indicates the turbulent mixing parameter a and progenitor mass m of the simulation. Columns are time [s], shock radius [cm], explosion energy [ergs], electron neutrino mean energy [MeV], electron neutrino rms energy [MeV], electron neutrino luminosity [10^51 ergs/s], electron antineutrino mean energy [MeV], electron antineutrino rms energy [MeV], electron antineutrino luminosity [10^51 ergs/s], x neutrino mean energy [MeV], x neutrino rms energy [MeV], x neutrino luminosity [10^51 ergs/s], gravitational wave frequency from eigenmode analysis of the protoneutron star structure [Hz]. Note that the x neutrino luminosity is for <strong>one</strong> neutrino flavor - to get the total mu/tau neutrino and antineutrino luminosities requires multiplying this number by 4. v1.1 - removed unnecessary duplicate files v1.2 - packaging alpha values as separate tar files for easy download.
description: This work was funded by the NSF under award number AST-1801844, the US Department of Energy, Office of Science, Office of Nuclear Physics, under award numbers DE-SC0015904 and DE-SC0017955, and the Swedish Research Council under award number 2018-04575. This work was done using computational resources provided by the Michigan State University Institute for Cyber-Enabled Research.
description: {"references": ["Warren, Couch, O'Connor, & Morozova. \"Constraining properties of the next nearby core-collapse supernova with multi-messenger signals.\" Submitted to Ap.J. arXiv:1912.03328", "Couch, Warren, & O'Connor. \"Simulating turbulence-aided neutrino-driven core-collapse supernova explosions in one dimension.\" Ap.J. 890:2 (2020). arXiv:1902.01340"]}
DOI: 10.25919/5f15f916a273b
title: Parkes observations for project P958 semester 2020APRS_23

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last three years searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 35 bursts, eight of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. 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 to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.5281/zenodo.3952930
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event S200224ca

description: Attached in a .json file is the completed pointing information for 1655 observation(s) for the EM counterpart search associated with the gravitational wave event S200224ca. These observations were taken on the DECam instrument.
DOI: 10.5281/zenodo.3952931
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event S200224ca

description: Attached in a .json file is the completed pointing information for 1655 observation(s) for the EM counterpart search associated with the gravitational wave event S200224ca. These observations were taken on the DECam instrument.
DOI: 10.24431/rw1k45x
title: Graying of the Fleet in Alaska’s Fisheries Survey Data, 2015

description: The Graying of the Fleet Research project was conducted to understand factors that have lead to an increase in the average age of commercial fishery participants over the past several decades. In addition to collecting interview data from young and veteran fishermen and community leaders in the Bristol Bay and Kodiak Archipelago regions of Alaska, the study sought to understand the aspirations and experiences of youth in the regions as they related to the commercial fishing industry in their communities. Data in this collection are survey responses given by seventh through twelfth grade students in the communities of Togiak, Dillingham, Kokhanok, and the Bristol Bay Borough (including South Naknek, Naknek, and King Salmon) in Bristol Bay and Kodiak, Ouzinkie, and Old Harbor in the Kodiak Archipelago. The survey, administered in the spring of 2015, was designed to elicit youth perceptions of the commercial fishing industry, their involvement, their family ties, and their desire to engage in the commercial fisheries near their communities. It also asked students about their educational and career ambitions for the future, demographic attributes, and feelings about their home communities. Responses were collected on a five-page paper survey administered by project staff or local assistants. Data were entered verbatim by project staff into Excel spreadsheets. Raw categorical and text response data were coded according to a pre-defined and inductive coding protocol. All raw and coded data are contained within the archived files. The files contain, in addition to raw and coded data (NPRB_1323_Survey_Response_Data.csv), counts of responses aggregated by community for all survey questions (NPRB_1323_Survey_Responses_ Aggregated_Data.csv), the list of codes used to code responses (NPRB_1323_Survey_Response_Data_Codes.csv), and other data configurations used for indexing in creation of the aggregated data file (NPRB_1323_Survey_Response_Question_Text.csv). This dataset was derived from a larger set of interviews with residents of the Bristol Bay and Kodiak Archipelago, Alaska, on fishing, community, and the graying of the fleet, 2014-2015. Raw audio files and transcripts have been archived at the University of Alaska, Fairbanks. Contact the Principal Investigator for more information. This dataset was generated as part of NPRB Project 1323.
DOI: 10.5281/zenodo.3952926
title: Constraining properties of the next nearby core-collapse supernova with multi-messenger signals: multi-messenger signals

description: 1D FLASH simulations with STIR, for alpha_lambda = 1.23, 1.25, and 1.27. Run with SFHo EOS, M1 with 12 energy groups. For more information on these simulations, see Warren, Couch, O'Connor, & Morozova (arXiv:1912.03328) and Couch, Warren, & O'Connor (2020). Includes the multi-messenger data from the STIR simulations. The filename indicates the turbulent mixing parameter a and progenitor mass m of the simulation. Columns are time [s], shock radius [cm], explosion energy [ergs], electron neutrino mean energy [MeV], electron neutrino rms energy [MeV], electron neutrino luminosity [10^51 ergs/s], electron antineutrino mean energy [MeV], electron antineutrino rms energy [MeV], electron antineutrino luminosity [10^51 ergs/s], x neutrino mean energy [MeV], x neutrino rms energy [MeV], x neutrino luminosity [10^51 ergs/s], gravitational wave frequency from eigenmode analysis of the protoneutron star structure [Hz]. Note that the x neutrino luminosity is for <strong>one</strong> neutrino flavor - to get the total mu/tau neutrino and antineutrino luminosities requires multiplying this number by 4. v1.1 - removed unnecessary duplicate files v1.2 - upload failed. Obsolete. v1.3 - packaging alpha values as separate tar files for easy download.
description: This work was funded by the NSF under award number AST-1801844, the US Department of Energy, Office of Science, Office of Nuclear Physics, under award numbers DE-SC0015904 and DE-SC0017955, and the Swedish Research Council under award number 2018-04575. This work was done using computational resources provided by the Michigan State University Institute for Cyber-Enabled Research.
description: {"references": ["Warren, Couch, O'Connor, & Morozova. \"Constraining properties of the next nearby core-collapse supernova with multi-messenger signals.\" Submitted to Ap.J. arXiv:1912.03328", "Couch, Warren, & O'Connor. \"Simulating turbulence-aided neutrino-driven core-collapse supernova explosions in one dimension.\" Ap.J. 890:2 (2020). arXiv:1902.01340"]}