cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13144054
title: EU-TRHeaDS Conjoint Dataset

description: The EU-TRHeaDS Conjoint Dataset is a set of 20,920 observations that was gathered, organised and edited in the framework of the research project ‘EU Citizens’ Transnational Rights and Health-related Deservingness at the Street-level - EU-TRHeaDS’ (PI: Roberta Perna), which has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101022244.

One of EU-TRHeaDS' aims is to investigate which criteria ‘activate’ the category of healthcare (un)deservingness in the context of intra-EU migration among the general public in two EU Member States (Belgium and Spain), and the extent to which these preferences turn into patterns of systematic penalisation towards specific EU nationality groups. It does so by carrying out a conjoint experimental study nested in an online survey run in parallel in Belgium and Spain with a representative sample of the population on the dimensions of gender, age (18 years old), level of education achieved and geographical region of residence. During the four tasks of the experiment, respondents were asked who they would prioritise to access publicly-funded healthcare out of two fictitious patients who differed in four attributes, all randomly assigned: 1) nationality; 2) migration trajectory; 3) responsibility over ill health, and 4) employment status.

As a subset of a larger survey on intra-EU mobility and access to healthcare rights, the EU-TRHeaDS Conjoint Dataset specifically includes the socio-demographic variables of the probabilistic sample in each country, the variables of the conjoint experiment and information about the time spent by respondents in completing each of the four experimental tasks.

For detailed information and the codebook, see the document 'EU-TRHeaDS_conjoint_Description&Codebook'
DOI: 10.5281/zenodo.14532437
title: Interpolating numerically exact many-body wave functions for accelerated molecular dynamics, Molecular dynamics trajectories

description: Computed molecular dynamics trajectories accompanying the manuscript "Interpolating numerically exact many-body wave functions for accelerated molecular dynamics" by Y. Rath and G. H. Booth

The dataset contains the NVE trajectories in the .xyz file format, as well as videos (as .gif files) showing the nuclear motion of the system displaying one atomic unit timestep per 1/10th of a second (videos for the isolated NVE trajectories).

The computed trajectories for the following systems/force field methods are included:



H2O, simulated with 6-31G, cc-pVDZ, and cc-pVTZ basis sets (eigenvector continuation with with varying training set sizes, reference calculations from FCI (6-31G), and CASCI (cc-pVDZ, cc-pVTZ))

H30 (linear chain) in STO-6G basis (eigenvector continuation with varying training set sizes, DMRG, Hartree-Fock, DFT (PBE functional), GAP (47 training configurations))

H2O-H3O+ in 6-31G basis (eigenvector continuation with varying training set sizes, Hartree-Fock, DFT (B3LYP functional), CCSD)

Zundel thermochemistry in 6-31G basis (trajectories from eigenvector continuation with 100 data points, CCSD, and DFT with PBE and CAM-B3LYP exchange correlation functionals)
DOI: 10.5281/zenodo.7832114
title: Protons-Saturn

description: Description of the Cassini CAPS IMS time-of-flight (TOF) raw data files and the higher level MATLAB data files and curve fitting programs, respectively.


. 


Using an IDL program that reads the raw Cassini CAPS singles, A-cycle data, and TOF composition, B-cycles data, we generated ST TOF spectra as shown in Figure 4 of the paper. See directory NASA\caps2004183. We then took the peak channel centered on the proton location in TOF to construct an energy spectrum of proton counts versus energy (see Figure 11 in the paper). This data was then loaded into another IDL program to convert this spectrum into a weighting function, see Eqs. 3 and 4 in the paper, that was then applied to the singles data as described in the paper. This IDL program was also used to generate the various data sets used by the MATLAB curve fitting tool to make 2D fits as described in the paper. We also computed, using Spice Kernals, the angle between the IMS look direction for all eight angular sectors relative to the co-rotation direction, respectively. This is shown in Figure 2 of the paper. These angles were inserted into Equation 5 of the paper that was also used in the MATLAB 2D fits. Each spectrum is one B-cycle apart in time. 


After the MATLAB fits were done, the fit parameter, proton density nP in #/cm3, proton temperature TP in eV, proton rotational speed VP in km/s, and spacecraft potential SC in Volts, were loaded into the same IDL program, different branch, to make the plots shown in Figure 13 of the paper. For the fits we used a convected Maxwellian velocity distribution function (VDF).


A different IDL program is used to make plots of ion cts vs TOF channel number (512 channels). There are 2048 chan that are collapsed to 512. Channels by selecting every fourth channel.


 


In summary: 


1. The TOF data we manually computed the energy spectrum for the protons.


2. Then using IDL program we computed the parameters for the weighting function (derived from the TOF data) that was used to weight the singles data and make the data files for MATLAB curve fitting app.


3. MATLAB using the convected Maxwellian function with GF described in the paper to perform energy-angle fits.


4. The fit results (proton density, spacecraft potential, proton temperature, proton rotation speed) were then plotted as shown in the paper (data pts vs energy and fits super-imposed) using same IDL program but using a different portion of the code. 


5. The data files used by the MATLAB curve fitting routine were eout (eV), aout (angle of angular sector used in degrees), yout (weighted singles counts plus other constants given in Eq. 5 of the paper, and sout (standard deviation of yout for the 2D fits. Note, the data is 1D but repeated three times with only the angle aout changing (15 points per angular sector). Some of the other parameters were used to make eout, aout, yout and sout.
DOI: 10.6084/m9.figshare.26940892
title: <b>Dataset of DeepCristae, a CNN for the restoration of mitochondria cristae in live microscopy images</b>

description: Data from several microscopy imaging modalities (STED, LiveSR, AiryScan and LLSM) used for validation of DeepCristae Algorithm. This data was applied both in the phenomenological context of the mitochondrial network dynamics and in the global framework of intermembrane interactions.
DOI: 10.5281/zenodo.10990984
title: Tremor catalogs produced (output data) in the paper "Dynamics of the 2021 Fagradalsfjall eruption (Iceland) revealed by volcanic tremor patterns"

description: This repository contains tremor catalogs produced as output data in the paper "Dynamics of the 2021 Fagradalsfjall eruption (Iceland) revealed by volcanic tremor patterns" submitted to Journal of Geophysical Research - Solid Earth by Soubestre J., Caudron C., Melnik O., Lecocq T., Jaupart C., Shapiro N.M., Journeau C., Çubuk-Sabuncu Y., and Jónsdóttir K.

In particular, it contains three catalogs :+ time and 3-D location of tremor sources shown in Figure 5 ;+ time and duration of tremor bursts associated with pulsating lava fountains shown in Figure 6 ;+ time and duration of repose times associated with pulsating lava fountains shown in Figure 6 ;
DOI: 10.5281/zenodo.11104411
title: HarmonEPS modified routines, post-processing scripts and example data used in Tsiringakis, A., Frogner, I.L., de Rooy, W., Andrae, U., Hally, A., Contreras Osorio, S., van der Veen, S. and Barkmeijer, J., An Update to the Stochastically Perturbed Parametrizations Scheme of HarmonEPS. Monthly Weather Review

description: This dataset contains:

- Modified code routines/configurations files used in the EPS of Harmonie-Arome (HarmonEPS) CY43H2.2 version of the model.

- Verification scripts from the HARP verification tool, used to verify model output against SYNOP observations.

- Post-processing and plotting scripts in python, used in the manuscript.

- A subset of the data produced by this study as example input in the verification and post-processing/plotting scripts.

This dataset is used in:

~Tsiringakis, A., Frogner, I.L., de Rooy, W., Andrae, U., Hally, A., Contreras Osorio, S., van Der Veen, S. and Barkmeijer, J. An Update to the Stochastically Perturbed Parametrizations Scheme of HarmonEPS. Monthly Weather Review
DOI: 10.5281/zenodo.13829893
title: Metrics for two-sample tests: results on JetNet dataset

description: The repository includes version 1.0 (v1.0) of the code and results corresponding to the GitHub repository JetNetMetrics.

Publishing information and arXiv identifier will be added after publication of the main manuscript related to the data.
DOI: 10.5281/zenodo.13829967
title: Metrics for two-sample tests: results on Mixture of Gaussians and Correlated Gaussians models

description: The repository includes version 1.0 (v1.0) of the code and results corresponding to the GitHub repository GenerativeModelsMetrics.

Publishing information and arXiv identifier will be added after publication of the main manuscript related to the data.
DOI: 10.5281/zenodo.14715742
title: Enhanced Simulation of Atmospheric Blocking in a High-Resolution Earth System Model: Projected Changes and Implications for Extreme Weather Events
DOI: 10.5281/zenodo.4898182
title: 1D (time) and 2D (time and vertical coordinate) data for the cases DIU-500m, RCE-500m and DIU2RCE-500m.

description: Timeseries for the case of 500m horizontal resolution.
DOI: 10.5281/zenodo.7832078
title: caps2004183

description: Description of the Cassini CAPS IMS time-of-flight (TOF) raw data files:


In this directory we have the raw data binary files with name /TOF_200418300_U2.DAT, which covers 6 hours of data from 0 to 6 hours, which includes the time when Cassini was between the F and G rings, respectively. The useful data was from 2004-183T04:19:23 to 2004-183T04:44:27. The other data sets are for the rest of day 183 or July 1, 2004, SCET. The program tof_read.f90 reads these binary files and produces the text file tof-183.dat file which can be viewed using the standard text editor. A description of the TOF files is given in  /TOF_200418300_U1.LBL In that file it refers to the other file TOF_U2.FMT; this file gives a description of the headers in tof-183.dat. Opening the file tof-183.dat, the header from left to right is bcycle # = 1; the decimal time ET = 141912106.091; the time that was converted by the Spice Kernal routine TIMOUT from ET decimal time to UTC_STR = 2004-07-01T00:00:41;  next is the telemetry rate = 8000; collapse flag = 1 or sum nearby energy channels,; ST_START Channel = 0; ST_INTERVAL =  4 (every 4th word is taken starting at ST_START_CHANNEL); ST_ENERGY_COLLAPSE = 0 (sum adjacent energies); LEF_START Channel = 0; LEF_INTERVAL =  4 (every 4th word is taken starting at LEF_START_CHANNEL); LEF_ENERGY_COLLAPSE = 0 (sum adjacent energies); and ENERGY_STEP = 5 (There are 64 energy steps for the singles data (some not used, see ref in paper by Smith et al. (2017)), while 32 energy steps for the TOF Bcycle data (i.e., 64 collapsed to 32). You will then see the words ST_DATA: followed by 16 columns x 32 rows or 512 words of ST TOF data; this is the followed by LEF_DATA: followed by 16 columns X 32 rows or 512 words of LEF TOF data. You will then see the next energy step = 6 now but the same Bcycle = 1. Once you advance to the lower energy or highest energy step # = 32 after which Bcycle = 2 starts with energy step = 5; evidently 1-4 not being used. During this period there was noise in the telemetry so some of the data is missing.
DOI: 10.5285/e0f0bb80-ab44-2739-e053-6c86abc0289c
title: The GEBCO_2022 Grid - a continuous terrain model of the global oceans and land.

description: The GEBCO_2022 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base Version 2.4 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2022 Grid represents all data within the 2022 compilation. The compilation of the GEBCO_2022 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a remove-restore blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2022 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.
DOI: 10.5281/zenodo.13685378
title: Enhancing Reusability in Swedish National Heritage Board Archaeological Data

description: The code available here is explained in detail in the paper:

Bilotti G 2024 Enhancing Reusability in Swedish National Heritage Board Archaeological Data. Journal of Open Archaeology Data, 12:13, pp. 1–9. DOI: https://doi.org/10.5334/joad.135

This folder contains all the necesary scripts to download, query, and store data from selected prehistoric finds from the Swedish National Heritage Board (RAA; Riksantikvarieämbetet). This data can be also accessed from the Open Data Portal (Öppna data-portalen; https://www.raa.se/hitta-information/oppna-data/oppna-data-portal/). As they are, data is difficult to use for research purposes and the scripts provided allow for the extraction of several Neolithic and Bronze Age sites. The .qmd file can be used as description of what the scripts do. In order to reproduce the dataset, only the "script.R" needs to be run. The queries have been built in R (v. 4.4.1) and are fully reproducible, documented, and available from the author's GitLab page (https://gitlab.com/bilottigiacomo/raa-queries). In this folder, also the final results and some images are provided.
DOI: 10.5281/zenodo.13685379
title: Enhancing Reusability in Swedish National Heritage Board Archaeological Data

description: This folder contains all the necesary scripts to download, query, and store data from selected prehistoric finds from the Swedish National Heritage Board (RAA; Riksantikvarieämbetet). This data can be also accessed from the Open Data Portal (Öppna data-portalen; https://www.raa.se/hitta-information/oppna-data/oppna-data-portal/). As they are, data is difficult to use for research purposes and the scripts provided allow for the extraction of several Neolithic and Bronze Age sites. The .qmd file can be used as description of what the scripts do. In order to reproduce the dataset, only the "script.R" needs to be run. The queries have been built in R (v. 4.4.1) and are fully reproducible, documented, and available from the author's GitLab page (https://gitlab.com/bilottigiacomo/raa-queries). In this folder, also the final results and some images are provided.
DOI: 10.5281/zenodo.14178353
title: Enhancing Reusability in Swedish National Heritage Board Archaeological Data

description: This folder contains all the necesary scripts to download, query, and store data from selected prehistoric finds from the Swedish National Heritage Board (RAA; Riksantikvarieämbetet). This data can be also accessed from the Open Data Portal (Öppna data-portalen; https://www.raa.se/hitta-information/oppna-data/oppna-data-portal/). As they are, data is difficult to use for research purposes and the scripts provided allow for the extraction of several Neolithic and Bronze Age sites. The .qmd file can be used as description of what the scripts do. In order to reproduce the dataset, only the "script.R" needs to be run. The queries have been built in R (v. 4.4.1) and are fully reproducible, documented, and available from the author's GitLab page (https://gitlab.com/bilottigiacomo/raa-queries). In this folder, also the final results and some images are provided.
DOI: 10.5281/zenodo.14186575
title: Enhancing Reusability in Swedish National Heritage Board Archaeological Data

description: The code available here is explained in detail in the paper:

Bilotti G 2024 Enhancing Reusability in Swedish National Heritage Board Archaeological Data. Journal of Open Archaeology Data, 12:13, pp. 1–9. DOI: https://doi.org/10.5334/joad.135

This folder contains all the necesary scripts to download, query, and store data from selected prehistoric finds from the Swedish National Heritage Board (RAA; Riksantikvarieämbetet). This data can be also accessed from the Open Data Portal (Öppna data-portalen; https://www.raa.se/hitta-information/oppna-data/oppna-data-portal/). As they are, data is difficult to use for research purposes and the scripts provided allow for the extraction of several Neolithic and Bronze Age sites. The .qmd file can be used as description of what the scripts do. In order to reproduce the dataset, only the "script.R" needs to be run. The queries have been built in R (v. 4.4.1) and are fully reproducible, documented, and available from the author's GitLab page (https://gitlab.com/bilottigiacomo/raa-queries). In this folder, also the final results and some images are provided.
DOI: 10.5066/p9ftz0dk
title: Passive seismic depth to bedrock data collected along streams of the Farmington River watershed, CT, USA

description: Using the horizontal-to-vertical spectral-ratio (HVSR) method, we infer regolith thickness (i.e., depth to bedrock) throughout the Farmington River Watershed, CT, USA. Between Nov. 2019 and Nov. 2020, MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers collected passive seismic recordings along the Farmington River and the upstream West Branch of Salmon Brook. From these recordings, we derived resonance frequencies using the GRILLA software (MOHO, S.R.L.), and then inferred potential regolith thicknesses based on likely shear wave velocities, Vs, intrinsic to the underlying sediment. Three potential shear wave velocities (Vs = 300m/s, 337m/s, 362 m/s) were considered for Farmington River watershed sediments, providing a range of potential depth estimates along the Farmington. This release contains raw passive seismic recording data, processed resonance frequency data, and the resulting inferred depth estimates displayed in both tabular and vector form. This dataset currently contains 3 zipped files: 1) ?Processed.zip? is a zipped directory containing .asc text files of processed passive seismic data, individual processed reports, tabulated results, and an associated summary text file, 'readme_Processed.txt'; 2) 'Raw.zip' contains .saf text files of passive seismic recordings and an associated 'readme_Raw.txt;' and 3) ?XYLegacyN_HVSR.zip'? contains ESRI shapefile of HVSR point locations with attribute data & a map image offering a visualization of the depth results (where, Vs = 300m/s). Additionally, the main folder contains LegacyN_HVSR_readme.txt which describes these sub-directories in further detail.
DOI: 10.15468/dl.9djjfn
title: Occurrence Download

description: A dataset containing 6357001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Specimen)",
 "Geometry POLYGON((-26 -5,147 -5,147 65,-26 65,-26 -5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera",
 "Year 1950-2025"
 ]
}

 The dataset includes 6357001 records from 5884 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000482-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-38082
title: Disposition analysis. Duplication sorts (1986-1990), 1991

description: Reports and analysis for Christopher Commission dispositions by category - duplication sorts - output for claim vs disposition matrix - reports re LAPD force, disposition result of cases, amount paid, etc. (1986-1990), 1991 June 7-8. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.igt8h4
title: Occurrence Download

description: A dataset containing 2256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bouteloua gracilis Vasey",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2256 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001773-150330110031120/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-43293
title: Disposition summaries - City Attorney's Office, 1988

description: Christopher Commission - Collection of City Attorney's case disposition reports, 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.tutwwc
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Solanum sciadostylis (Sendtn.) Bohs"
 ]
}

 The dataset includes 33 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165256-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.