cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14505759
title: SAT3 Dataset

description: This dataset contains directories of nonlinear and linear CGYRO simulations that were used in the development of the quasilinear saturation rule SAT3, as described in this paper. The dataset is detailed in section 3, with a summary of the parameters used in table 1. The dataset directory names follow the labelling of table 1, such that for example 'f_H' corresponds to the case of a/Ln = 3.0 performed with an H plasma. 

The nonlinear directories also contain .dat files for the kx's (kxs.dat) and ky's (kys.dat) used in the simulations, as well as .dat files for the mean kx's (defined by equation 12 of the paper, mean_kx.dat), the spectral widths (the square root of equation 13, sigmas.dat) and the 1D and 2D potential spectra averaged over time and flux surface (ky_pots.dat and kxky_pots.dat, the LHS of equation 5 and the argument of the sum on the RHS respectively). The standard deviations of these quantities (*_errs.dat) are also included, calculated via the method described in section 3.

Disclaimer

This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom Research and Training Programme 2014–2018 and 2019–2020 under Grant Agreement No. 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. This work was supported by the Engineering and Physical Sciences Research Council [EP/L01663X/1, EP/R034737/1, EP/T012250/1, EP/W006839/1].
DOI: 10.5281/zenodo.14505760
title: SAT3 Dataset

description: This dataset contains directories of nonlinear and linear CGYRO simulations that were used in the development of the quasilinear saturation rule SAT3, as described in this paper. The dataset is detailed in section 3, with a summary of the parameters used in table 1. The dataset directory names follow the labelling of table 1, such that for example 'f_H' corresponds to the case of a/Ln = 3.0 performed with an H plasma. 

The nonlinear directories also contain .dat files for the kx's (kxs.dat) and ky's (kys.dat) used in the simulations, as well as .dat files for the mean kx's (defined by equation 12 of the paper, mean_kx.dat), the spectral widths (the square root of equation 13, sigmas.dat) and the 1D and 2D potential spectra averaged over time and flux surface (ky_pots.dat and kxky_pots.dat, the LHS of equation 5 and the argument of the sum on the RHS respectively). The standard deviations of these quantities (*_errs.dat) are also included, calculated via the method described in section 3.

Disclaimer

This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom Research and Training Programme 2014–2018 and 2019–2020 under Grant Agreement No. 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. This work was supported by the Engineering and Physical Sciences Research Council [EP/L01663X/1, EP/R034737/1, EP/T012250/1, EP/W006839/1].
DOI: 10.4121/6c61effc-9d0c-4246-8a22-ad7618f4f278
title: Data underlying the publication: Sensitivity analysis of the Substance Emission Model v2.1.2 component of the Greenhouse Emission Model

description: In the analysis ensembles of 7-year SEM simulations were performed for 100 assessments for different scenarios and substances. For each assessment, an ensemble of 365 simulations was performed with varying dates of substance application, covering every day of the year. For each simulation the following postprocessing was performed on the daily substance emission (g.m-2.d-1) from the greenhouse and its 10-day moving average:* Determine the of the annual maximum for each of the 7 simulation years.* Calculate the 50th and 90th percentiles over the 7 annual maxima (referred to as PEC50 and the PEC90, respectively).<br>This results in four PEC values (PEC50--daily, PEC90--daily, PEC50--10-day-average, PEC90--10-day-average) for each of the 100x365 simulations. Next, for each of the 100 assessments, the results of the 365 simulations were processed as follows:* Calculate the 90th percentile over 365 values for the four PEC values--this is referred to as the "true" 90th percentile.* Remove 5 simulations for application dates 7-Feb, 21-Apr, 3-Jul, 14-Sep and 26-Nov, resulting in a set of 360 simulations. This is done because 360 has more divisors than 365.<br>Subsequently, processing was performed on subsamples of different sizes N, taken from the 360 simulations. The following subsample sizes were considered: 12, 15, 18, 20, 24, 30, 36, 40, 45, and 60. For each subsample size N, M_N = 360/N sets of subsamples were taken with application date evenly spread over the year. For example, for N=12, M_12=30 sets of application dates were selected, with each set one day offset to the next. This results in 10 sets of subsamples of varying size. For each set N, the following processing was performed:* For each M_N values for the four PECs, calculate the relative difference compared to the true 90th percentile (based on the full 365 set of simulations; see above) as follows: RD = (PEC_est-PEC_365)/PEC_365.* Calculate the 10th percentile over the M_N relative differences for each of the four PECs; this is referred to as the 90th percentile underestimation* For each M_N values for the four PECs, calculate the multiplication factor relative to the true 90th percentile as follows: MF = PEC_est/PEC_365.* Calculate the 90th percentile over the M_N multiplication factors for each of the four PECs.<br>This results in 4000 values for the relative difference and multiplication factor for each combination of assessment (100), subsample size N (10), and PEC quantity (4). The relative underestimations form the data underlying Figure 13.3 in Braakhekke et al. (2024). The multiplication factors for N=12 form the data underlying table 13.1 in Braakhekke et al. (2024).<br>
DOI: 10.4121/6c61effc-9d0c-4246-8a22-ad7618f4f278.v3
title: Data underlying the publication: Sensitivity analysis of the Substance Emission Model v2.1.2 component of the Greenhouse Emission Model

description: In the analysis ensembles of 7-year SEM simulations were performed for 100 assessments for different scenarios and substances. For each assessment, an ensemble of 365 simulations was performed with varying dates of substance application, covering every day of the year. For each simulation the following postprocessing was performed on the daily substance emission (g.m-2.d-1) from the greenhouse and its 10-day moving average:* Determine the of the annual maximum for each of the 7 simulation years.* Calculate the 50th and 90th percentiles over the 7 annual maxima (referred to as PEC50 and the PEC90, respectively).<br>This results in four PEC values (PEC50--daily, PEC90--daily, PEC50--10-day-average, PEC90--10-day-average) for each of the 100x365 simulations. Next, for each of the 100 assessments, the results of the 365 simulations were processed as follows:* Calculate the 90th percentile over 365 values for the four PEC values--this is referred to as the "true" 90th percentile.* Remove 5 simulations for application dates 7-Feb, 21-Apr, 3-Jul, 14-Sep and 26-Nov, resulting in a set of 360 simulations. This is done because 360 has more divisors than 365.<br>Subsequently, processing was performed on subsamples of different sizes N, taken from the 360 simulations. The following subsample sizes were considered: 12, 15, 18, 20, 24, 30, 36, 40, 45, and 60. For each subsample size N, M_N = 360/N sets of subsamples were taken with application date evenly spread over the year. For example, for N=12, M_12=30 sets of application dates were selected, with each set one day offset to the next. This results in 10 sets of subsamples of varying size. For each set N, the following processing was performed:* For each M_N values for the four PECs, calculate the relative difference compared to the true 90th percentile (based on the full 365 set of simulations; see above) as follows: RD = (PEC_est-PEC_365)/PEC_365.* Calculate the 10th percentile over the M_N relative differences for each of the four PECs; this is referred to as the 90th percentile underestimation* For each M_N values for the four PECs, calculate the multiplication factor relative to the true 90th percentile as follows: MF = PEC_est/PEC_365.* Calculate the 90th percentile over the M_N multiplication factors for each of the four PECs.<br>This results in 4000 values for the relative difference and multiplication factor for each combination of assessment (100), subsample size N (10), and PEC quantity (4). The relative underestimations form the data underlying Figure 13.3 in Braakhekke et al. (2024). The multiplication factors for N=12 form the data underlying table 13.1 in Braakhekke et al. (2024).<br>
DOI: 10.5281/zenodo.14503467
title: Psychophysiological data from experiment under EU H2020 project COMFOCUS (experimenter: Päivi Maijanen-Kyläheiko)

description: This is the psychophysiological data from a study run by Päivi Maijanen-Kyläheiko for EU H2020 project COMFOCUS
DOI: 10.5281/zenodo.14503468
title: Psychophysiological data from experiment under EU H2020 project COMFOCUS (experimenter: Päivi Maijanen-Kyläheiko)

description: This is the psychophysiological data from a study run by Päivi Maijanen-Kyläheiko for EU H2020 project COMFOCUS
DOI: 10.15468/dl.2phf74
title: Occurrence Download

description: A dataset containing 20914411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 20914411 records from 649 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037591-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xa5vu4
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sincoraea Ule"
 ]
}

 The dataset includes 274 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037594-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57703/ce-mbqqb
title: Surface Topography Challenge P34 bis

description: 3D surface of CrN deposited on rough silicon which was reconstructed using a principal image analysis technique from 3 BSE detectors of a SEM. For details, see https://github.com/vyastreb/sem2surface
DOI: 10.17863/cam.58453
title: Research data supporting Enhanced piezoelectricity and electromechanical efficiency in semiconducting GaN due to nanoscale porosity

description: Raw AFM files and their analysis in Excel. COMSOL simulation output. Raw txt files of energy harvesting experiments.
DOI: 10.34740/kaggle/dsv/10201632
title: Effects of Video Games on Aggression
DOI: 10.17863/cam.52898
title: Research data supporting "Price of change: does a small alteration to the price of meat and vegetarian options affect their sales?"

description: This research data file contains data from a study conducted autumn term 2018 on vegetarian, meat, fish and vegan sales, total sales; summaries of individual meal selections, and model estimates from a college cafeterias at the University of Cambridge. The aim of the study was to investigate the impact of a small change in price on vegetarian sales, meat sales and overall sales. The vegetarian option price decreased by 20p from £2.05 to £1.85, and meat option price increased by 20p from £2.52 to £2.72. The study comprised of 106 mealtimes with 13,840 meal selections. We summarized the sales transaction data into 1) aggregate data, summarizing the total vegetarian, meat, vegan and fish meal sales at each lunch and dinner and 2) individual-level data on whether each diner at a meal selected a vegetarian, meat, fish or vegan meal. Purchases made with university cards enabled anonymized individual diner-level purchases to be tracked; this is useful in evaluating how diners with different pre-study levels of purchasing vegetarian&vegan meals responded to the change in price. We used the total number of meals sold at a mealtime to analyse total sales. We estimated the effect of the price change on vegetarian, meat and total meal sales, adjusting for other predetermined variables, including day of the week, ambient temperature, and time since the start of the study. We used linear models (LMs) and binomial generalized linear models (GLMs) for aggregate data. Binomial generalized linear mixed models (GLMMs) were used for the individual-level data, with individual diner fitted as a random effect, which allows each diner to have a different likelihood of selecting a vegetarian meal. A 95% confidence level was used to calculate confidence intervals (CIs). Models were evaluated using model diagnostics.
DOI: 10.15468/dl.fcgeq2
title: Occurrence Download

description: A dataset containing 13856500 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is da86174a-a605-43a4-a5e8-53d484152cd3"
 ]
}

 The dataset includes 13856500 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037593-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.37307
title: Raw data associated with manuscript under review: Optical projection and spatial separation of entangled triplet-pairs from the 2Agstate of pi-conjugated systems

description: Absorption spectrum of polydiacetylene (PDA) as a function of polarisation angle. Pump probe spectrum of PDA in all parallel configuration. Genetic algorithm decomposition of spectrum and kinetics. Pump energy dependence of 2Ag lifetime. Pump push probe spectra of PDA, line narrowing of triplet pair state in PDA. Pump probe and pump push probe spectra of carotenoid, astraxanathin both isolated and in aggregate form. Push time of 200 fs and 500 fs. Inside zip is the matlab code used to simulate the pump probe and pump push spectra. The codes are fully labelled and commented such as to run them. The file PPPsim.m should be run for the PDA simulations and PPPsimAXT.m for the AXT simulations the codes will find the necessary files if they are all in the same folder.
DOI: 10.17863/cam.89669
title: The microstructural record of convection in the Little Minch Sill Complex, Scotland - microstructural data

description: grain sizes of plagioclase, and the values of clinopyroxene-plagioclase-plagioclase dihedral angles, in three dolerite sills from the Little Minch Sill Complex, exposed on the Isle of Skye and the Shiant Isles of NW Scotland. In each of the Shiant Isles Main Sill, the Creagan Iar sill, and the Meall Tuath sill, a suite of samples was collected to form a vertical traverse across the full exposed height for detailed microstructural analysis. Grain sizes are measured as the long axis of each plagioclase grain intersection in photomicrographs of a thin section of the sample. Dihedral angles at three-grain junctions formed of two grains of plagioclase and one grain of augite were measured using a universal stage permitting the measurement of the true 3D values of the angle. In the associated paper, for each sample, the median value of each dihedral angle population is reported, together with the arithmetic mean of the grain size population.
DOI: 10.17863/cam.63831
title: Research Data Supporting: Ultrafast melting and recovery of collective order in the excitonic insulator Ta2NiSe5

description: This data includes that which is shown in the main text figures 1-4 of the associated publication. We have used pump-probe measurements to investigate the ordered phase in excitonic insulator candidate, Ta2NiSe5. The measurements are performed with a single pump, and two pump configuration (also sometimes called pump-push-probe). While all the data shown is taken in reflection, we did similar measurements also in a transmission configuration.
DOI: 10.15468/dl.6kuk7m
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthophytum albopictum Philcox"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037596-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.33892
title: Research data supporting "Origin of the DC output voltage from a high-Tc superconducting dynamo"

description: Research data supporting [Origin of the DC output voltage from a high-Tc superconducting dynamo]. Please see the README file for a description of the dataset.
DOI: 10.15468/dl.us4vb5
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthophytum amoenum (Ule) L.B.Sm."
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037597-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.13167
title: Research data supporting "Organic diode rectifiers based on high performance conjugated polymer for near-field energy harvesting circuit"

description: Data underpinning publication in Advanced Materials
DOI: 10.15468/dl.u5krtv
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus deppeana var. zacatecensis Martínez"
 ]
}

 The dataset includes 128 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037598-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsw8sh
title: Occurrence Download

description: A dataset containing 26787 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jacquemontia Choisy"
 ]
}

 The dataset includes 26787 records from 391 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163147-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38cxxr
title: Occurrence Download

description: A dataset containing 1841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Noturus miurus Jordan, 1877)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1841 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047111-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydevux
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gigantochloa compressa R.Parker"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012538-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmvqqu
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Carollia perspicillata (Linnaeus, 1758)"
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028511-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmaww4
title: Occurrence Download

description: A dataset containing 13025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "TaxonKey is Numenius arquata (Linnaeus, 1758)",
 "Year 2013-2023"
 ]
}

 The dataset includes 13025 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023019-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bm2p7y
title: Occurrence Download

description: A dataset containing 639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polanisia dodecandra (L.) DC.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 639 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163205-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpxot7
title: Occurrence Download

description: A dataset containing 601 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Qualea paraensis Ducke"
 ]
}

 The dataset includes 601 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028512-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btmapt
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stellaria alsine Grimm",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 67 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163158-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eepf9a
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoya lanceolata Wall. ex D.Don"
 ]
}

 The dataset includes 82 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022981-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxvej0
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allora major (Rothschild, 1915)"
 ]
}

 The dataset includes 44 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028513-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfd6x8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium arlbergense Evers ex Zahn"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023008-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.