cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15745339
title: Virtual Self, Real Shift: A Pilot Study on the effect of  3D-4D Avatar Exposure on Body Image and Physiological Activation

description: Dataset associated with the manuscript: Virtual Self, Real Shift: A Pilot Study on the effect of  3D-4D Avatar Exposure on Body Image and Physiological Activation 

This set of raw data cannot be made publicity available as including sensitve information, but might be made available to interested researchers upon reasonable requests. Please, forward your request to: giulia.brizzi@unicatt.it
DOI: 10.5281/zenodo.17405097
title: Yell_ID: Yellowhammer individual identity across transmission distances

description: General Description

Yell_ID is an open-access dataset of Yellowhammer (Emberiza citrinella) song recordings collected during controlled transmission experiments using Audiomoths. The dataset was designed to investigate how individual vocal signatures degrade over 7 distances (from 6.5 m to 200 m). It provides a valuable resource for studying individuality in bioacoustics, and for training individual recognition algorithms under low signal-to-noise ratio (SNR) conditions.

The dataset consists of training and testing sets. In addition to the training dataset. A data augmentation script is provided to increase the variability of the audio samples for more robust training. A catalog of the repertoire for the 10 individual yellowhammers used in the transmission test is also included, detailing the song types for each individual.

The folder Transmission_Test_Data contains the CSV file with metadata that was used to support the work reported in the pre-print: https://doi.org/10.64898/2025.12.19.695494

For more information, please see the README.txt file as well as the accompanying work. 

Once unzipped, the 'Yell_ID_Set' folder should be approximately 500 MB.
DOI: 10.5281/zenodo.17405098
title: Yell_ID: Yellowhammer individual identity across transmission distances

description: General Description

Yell_ID is an open-access dataset of Yellowhammer (Emberiza citrinella) song recordings collected during controlled transmission experiments using Audiomoths. The dataset was designed to investigate how individual vocal signatures degrade over 7 distances (from 6.5 m to 200 m). It provides a valuable resource for studying individuality in bioacoustics, and for training individual recognition algorithms under low signal-to-noise ratio (SNR) conditions.

The dataset consists of training and testing sets. In addition to the training dataset. A data augmentation script is provided to increase the variability of the audio samples for more robust training. A catalog of the repertoire for the 10 individual yellowhammers used in the transmission test is also included, detailing the song types for each individual.

The folder Transmission_Test_Data contains the CSV file with metadata that was used to support the work reported in the pre-print: https://doi.org/10.64898/2025.12.19.695494

For more information, please see the README.txt file as well as the accompanying work. 

Once unzipped, the 'Yell_ID_Set' folder should be approximately 500 MB.
DOI: 10.5281/zenodo.18089536
title: Data and code for "The observed September 2023 temperature jump was near impossible under standard anthropogenic forcing", submitted to Communications Earth & Environment

description: This repository contains the data and a Jupyter notebook required to reproduce the main figures included in the manuscript “The observed September 2023 temperature jump was near impossible under standard anthropogenic forcing”, submitted to Communications Earth & Environment.

All plots are generated in the Jupyter notebook final_plots.ipynb and saved in the plots/ folder. The underlying data are stored in the files/ directory.

The code used for the probabilistic attribution analysis is based on the dist_cov package developed by Mathias Hauser (https://github.com/mathause/dist_cov) and has been only minimally modified for this study.

Additional code to obtain the intermediate data files in this repository is available from the corresponding author upon request.
DOI: 10.5281/zenodo.18089535
title: Data and code for "The observed September 2023 temperature jump was near impossible under standard anthropogenic forcing", submitted to Communications Earth & Environment

description: This repository contains the data and a Jupyter notebook required to reproduce the main figures included in the manuscript “The observed September 2023 temperature jump was near impossible under standard anthropogenic forcing”, submitted to Communications Earth & Environment.

All plots are generated in the Jupyter notebook final_plots.ipynb and saved in the plots/ folder. The underlying data are stored in the files/ directory.

The code used for the probabilistic attribution analysis is based on the dist_cov package developed by Mathias Hauser (https://github.com/mathause/dist_cov) and has been only minimally modified for this study.

Additional code to obtain the intermediate data files in this repository is available from the corresponding author upon request.
DOI: 10.5281/zenodo.18037673
title: Dataset on walking-based, participatory, and performative artworks: Metadata and analytical categories

description: This dataset compiles a wide cross-section of contemporary walking-based, participatory, and performative artworks, documenting their aesthetic, political, experiential, and technological characteristics. Each entry is described through a rich set of qualitative fields—including thematic focus, cultural and political context, audience engagement, accessibility, multisensory design, gestural interaction, dramaturgy, affective shifts, digital augmentation, and documentation practices. Additional metadata such as author, year, location, device, temporal structure, and visual elements provide a detailed framework for comparative analysis. The dataset is designed to support scholarly research in performance studies, digital arts, embodied interaction, and walking-based practices by enabling structured comparisons across artistic intentions, sociopolitical interventions, and audience experiences. It is particularly suited for analytical models involving categorisation, pattern recognition, or cross-modal study of participatory art. By integrating references such as Drew Hemment (2006) and Leolke & Wood (2019), the dataset situates each artwork within broader theoretical discourses on fictioning, design, world-building, and infrastructural or logistical aesthetics.
DOI: 10.5281/zenodo.18037674
title: Dataset on walking-based, participatory, and performative artworks: Metadata and analytical categories

description: This dataset compiles a wide cross-section of contemporary walking-based, participatory, and performative artworks, documenting their aesthetic, political, experiential, and technological characteristics. Each entry is described through a rich set of qualitative fields—including thematic focus, cultural and political context, audience engagement, accessibility, multisensory design, gestural interaction, dramaturgy, affective shifts, digital augmentation, and documentation practices. Additional metadata such as author, year, location, device, temporal structure, and visual elements provide a detailed framework for comparative analysis. The dataset is designed to support scholarly research in performance studies, digital arts, embodied interaction, and walking-based practices by enabling structured comparisons across artistic intentions, sociopolitical interventions, and audience experiences. It is particularly suited for analytical models involving categorisation, pattern recognition, or cross-modal study of participatory art. By integrating references such as Drew Hemment (2006) and Leolke & Wood (2019), the dataset situates each artwork within broader theoretical discourses on fictioning, design, world-building, and infrastructural or logistical aesthetics.
DOI: 10.34740/kaggle/dsv/14345888
title: Blood–Liver–Kidney Tri-Organ Imaging Dataset
DOI: 10.5281/zenodo.17265162
title: Global high-resolution (0.25×0.25) total water storage anomaly dataset derived by reproducing GRACE data

description: This dataset presents high-resolution (0.25°) terrestrial water storage anomalies (TWSA) derived through a novel iterative downscaling method applied to GRACE satellite observations. Unlike traditional approaches that rely heavily on hydrometeorological inputs and often miss long-term trends, this method preserves nearly all of the original GRACE signal content. The downscaled TWSA demonstrates enhanced agreement with in-situ groundwater measurements, showing higher correlation in over 63% of global wells and reduced RMSE in more than 83%. Additionally, it maintains a strong correlation (average r = 0.98) with original GRACE data across all global 1° land grids, outperforming existing downscaling products.
DOI: 10.5281/zenodo.16666746
title: Global high-resolution (0.25×0.25) total water storage anomaly dataset derived by reproducing GRACE data

description: This dataset presents high-resolution (0.25°) terrestrial water storage anomalies (TWSA) derived through a novel iterative downscaling method applied to GRACE satellite observations. Unlike traditional approaches that rely heavily on hydrometeorological inputs and often miss long-term trends, this method preserves nearly all of the original GRACE signal content. The downscaled TWSA demonstrates enhanced agreement with in-situ groundwater measurements, showing higher correlation in over 63% of global wells and reduced RMSE in more than 83%. Additionally, it maintains a strong correlation (average r = 0.98) with original GRACE data across all global 1° land grids, outperforming existing downscaling products.
DOI: 10.15468/dl.f8r6y4
title: Occurrence Download

description: A dataset containing 3392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.18793 41.23996,13.71955 41.22148,13.73625 41.49927,13.20225 41.51785,13.18793 41.23996))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 3392 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069345-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18097853
title: Dataset for "Dynamical Classification of Galactic Open Clusters Using Virial Theorem"

description: This dataset compiles the observed and theoretical velocity dispersions, as well as the dynamical states, of 4,809 candidate clusters. The data are drawn from Gaia DR3 astrometric measurements and the open cluster catalog by Hunter & Reffert (2024).
DOI: 10.5281/zenodo.18098254
title: R&D AND INNOVATION INDICATORS BY REGION KAZAKHSTAN

description: The file represents a regional panel dataset on research and innovation activity in the Republic of Kazakhstan. It aggregates indicators describing R&D engagement, scientific publication output, integration into the global scientific system, and patent activity, with a clear distinction between national and foreign applicants.

The analysis focuses on:– the scale and dynamics of regional involvement in R&D activities;– the contribution of Kazakhstan’s regions to the global publication corpus and the quality of scientific output, measured through normalized citation impact;– the structure and intensity of patenting across different types of intellectual property;– the degree of regional technological independence assessed through the balance between domestic and foreign patenting.

The dataset is used for comparative regional analysis, construction of composite innovation indicators, and econometric assessment of scientific and technological differentiation across regions of Kazakhstan.
DOI: 10.5281/zenodo.18098253
title: R&D AND INNOVATION INDICATORS BY REGION KAZAKHSTAN

description: The file represents a regional panel dataset on research and innovation activity in the Republic of Kazakhstan. It aggregates indicators describing R&D engagement, scientific publication output, integration into the global scientific system, and patent activity, with a clear distinction between national and foreign applicants.

The analysis focuses on:– the scale and dynamics of regional involvement in R&D activities;– the contribution of Kazakhstan’s regions to the global publication corpus and the quality of scientific output, measured through normalized citation impact;– the structure and intensity of patenting across different types of intellectual property;– the degree of regional technological independence assessed through the balance between domestic and foreign patenting.

The dataset is used for comparative regional analysis, construction of composite innovation indicators, and econometric assessment of scientific and technological differentiation across regions of Kazakhstan.
DOI: 10.48322/6ra3-pg21
title: STEREO WAVES (SWAVES) Radio Intensity Spectra, both Ahead and Behind s/c
title: Solar TErrestrial RElations Observatory (STEREO) Waves (SWAVES) STEREO-A and STEREO-B Level 2 CDFs at NASA's CDAWeb

description: The CDF file contains 1 minute averaged radio intensity data from both the Ahead and Behind s/c. A description of the STEREO/WAVES instrument is provided in: Bougeret, J.L, et al. (2008), S/WAVES: The Radio and Plasma Wave Investigation on the STEREO Mission, Space Science Reviews, 136, 487-528. The STEREO / WAVES (SWAVES) instruments provide unique and critical observations for all primary science objectives of the STEREO mission, the generation of CMEs, their evolution, and their interaction with Earth's magnetosphere. SWAVES can probe a CME from lift-off to Earth by detecting the coronal and interplanetary (IP) shock of the most powerful CMEs, providing a radial profile through spectral imaging, determining the radial velocity from ~2 RS (from center of sun) to Earth, measuring the density of the volume of the heliosphere between the sun and Earth, and measuring important in situ properties of the IP shock, magnetic cloud, and density compression in the fast solar wind stream that follows. SWAVES measures the fluctuation electric field present on three orthogonal monopole antennas mounted on the back (anti-sunward) surface of the spacecraft. Each monopole antenna unit is a 6 m long Beryllium-Copper (BeCu) "stacer" spring. The three units deploy from a common baseplate that also accommodates the preamplifier housing. The 6 m length was chosen to put the antenna quarter-wave resonance near the top of the SWAVES HFR2 frequency band. These data consist of output from the SWAVES HFR and LFR receivers. - the High Frequency Receivers (HFR) - for spectral analysis and direction finding of radio noise generated from a few solar radii (16 MHz) to about half an Astronomical Unit (125 kHz) - the Low Frequency Receiver (LFR) - for spectral analysis and direction finding from about half an Astronomical Unit (160 kHz) to one AU (2.5 kHz).
DOI: 10.48322/12as-eq92
title: STEREO-A IMPACT HET Level 1 Data

description: STEREO-A In-Situ Measurements of Particles and CME Transients (IMPACT) High Energy Telescopes (HET) Level 1 1-minute data include electron fluxes in (cm^2 s sr MeV)^-1 measured in 3 energy ranges (0.7-1.4, 1.4-2.8 and 2.8-4.0 MeV) and proton fluxes in (cm^2 s sr MeV)^-1 measured in 11 energy ranges (13.6-15.1, 15.0-17.1, 17.0-19.3, 20.8-23.8, 23.8-26.4, 26.3-29.7, 29.6-33.4, 33.4-35.8, 35.6-40.5, 40-60, and 60-100 MeV).
DOI: 10.48322/4ekf-zt68
title: STEREO-A Ephemeris, Heliocentric Trajectories, Heliographic, Heliographic Inertial, and Solar Ecliptic Coordinates, HelioWeb, Daily Data

description: Heliocentric trajectories for STEREO-A in Heliographic, HG, Heliographic Inertial, HGI, and Solar Ecliptic, SE, Coordinates The original trajectory data are taken from http://ssd.jpl.nasa.gov/horizons.cgi where users can find many more objects. In the case of orbit data for planets, the orbit data can be used as a proxy for spacecraft ephemeris that are in orbit about the planets. On a heliospheric scale, differences between the planet orbital tarjectory and that of the spacecraft are very small. For instance, the heliocentric longitudes differ by only 0.25° for a spacecraft stationed near the L1 Lagrange point at approximately 100 Earth radii upstream of the Earth. The production of the HG, HGI, and SE trajectory data requires a values for the "Equinox Epoch", which is defined as the epoch time when the direction from the Earth to the sun at the time of the vernal equinox when the sun seems to cross equatorial plane of the Earth from below. This direction is called the First Point of Aries, FPA and it is not a fixed direction but drifts by about 1.4° per century or 50.26" per year. In addition, there are tiny irregularities in FPA drift that are on the order of 1" per year or less. The Equinox Epoch can be determined by using a variety of methods for calculating the instantaneous FPA longitudinal direction and whether the tiny irregularities have been smoothed or averaged out. Four methods for determining the Equinox Epoch are in common usage: +---------------------------------------------------------------------+   Method Name   FPA Longitude Definition    ---------------------------------------------------------------------    B1950.0   the actual FPA at 22:09 UT on December 31, 1949     J2000.0   the smoothed FPA at 12:00 UT on January 1, 2000     True of Date   the actual FPA at 00:00 UT on the date of interest     Mean of Date   the smoothed FPA at 00:00 UT on the date of interest   +---------------------------------------------------------------------+ The heliocentric trajectory data included in this data product have been calculated by using the Equinox Epoch: defined via the "Mean of Date" method. More precise coordinates, and some planet-centered coordinates, are found in the "traj" subdirectories of spacecraft specific directories at https://spdf.gsfc.nasa.gov/pub/data/ and http://ssd.jpl.nasa.gov/horizons.cgi.
DOI: 10.48322/ze43-sh27
title: STEREO-A In-Situ Measurements of Particles and CME Transients (IMPACT) Housekeeping

description: STEREO-A, In-situ Measurements of Particles and CME Transients, IMPACT, Instrument, State of Health and Housekeeping, Level 1, Data
DOI: 10.48322/pnje-7988
title: STEREO-A IMPACT (In-Situ Measurements of Particles and CME Transients) Low Energy Telescope (LET) 1-min Level 1 Ion Fluxes

description: The IMPACT Low Energy Telescope (LET) data consist of 1-min resolution unsectored fluxes and counts for each of 15 single-Z ionic species at each of a species-dependent number of energy bins ranging between 9 and 16, plus 16-sectored fluxes and counts for 5 ionic species or Z groups in one (H) or two (He4, CNO, NiMgSi, Fe) energy ranges. There is much fill data. (
DOI: 10.48322/w8k5-zt97
title: STEREO-A In-Situ Measurements of Particles and CME Transients (IMPACT) Beacon

description: STEREO-A, In-situ Measurements of Particles and CME Transients, IMPACT, Instrument, Level 1B, Data Note: The Onboard SWEA Calculation of Moments and Pitch Angle Distributions are compromised by a Charging Effect at Low Energies. STE-U is not providing any Science Data as the Instrument is blinded by Sunlight and thus these Variables are not accessible via CDAWeb.
DOI: 10.48322/s8mc-9x35
title: STEREO-A In-Situ Measurements of Particles and CME Transients (IMPACT) Fluxgate Magnetometer (MAG) Burst Mode, Magnetic Field Vector, Spacecraft (SC) Coordinates, Level 1 (L1), 31 ms Data

description: This data product contains Level 1 0.03125-s or 32 Hz burst-mode values of solar wind magnetic field data measured by the IMPACT Magnetometer on STEREO-A in Spacecraft, SC, coordinates.
DOI: 10.48322/vetc-cx72
title: STEREO-A In-Situ Measurements of Particles and CME Transients (IMPACT) Fluxgate Magnetometer (MAG) Burst Mode, Magnetic Field Vector, Radial-Tangential-Normal (RTN) Coordinates, Level 1 (L1), 31 ms Data

description: This data product contains Level 1 0.03125-s or 32 Hz burst-mode values of solar wind magnetic field data measured by the IMPACT Magnetometer on STEREO-A in Radial-Tangential-Normal, RTN, coordinates.
DOI: 10.48322/200r-rj72
title: STEREO-A In-situ Measurements of Particles And CME Transients (IMPACT) Magnetic Field Vectors and Ancillary Data
title: STEREO-A IMPACT/MAG Level 1 Data

description: This data product contains Level 1 0.125-s values of solar wind magnetic field data taken by the IMPACT/Magnetometer on STEREO-A. The interface at UCB provides access to CDF-formatted files of magnetic field data in RTN coordinates. The interface at UCLA allows selection of STEREO A or STEREO B data and of vector quantities in RTN or spacecraft coordinates. It also allows selection of either of two parameter sets: [Bx, By, Bz, B ] or [RBx, RBy, RBz, B , cone and clock angles]. Further, this interface enables easy migration between plot vs. ASCII data presentation options and among the three available resolutions (1, 8, 32 Hz). The parameter level information given below is specific to tyhe CDF version of the data at UCB.
DOI: 10.48322/a8eg-e811
title: STEREO-A In-Situ Measurements of Particles and CME Transients (IMPACT) Fluxgate Magnetometer (MAG) Magnetic Field Vectors, in Spacecraft (SC) Coordinates

description: STEREO Ahead In-situ Measurements of Particles and CME Transients, IMPACT, Magnetometer Instrument, MAG, Magnetic Field Vectors, Level 1 Data
DOI: 10.48322/trbb-ff59
title: STEREO-A In-Situ Measurements of Particles and CME Transients (IMPACT) Fluxgate Magnetometer (MAG) Magnetic Field Vectors, in Radial-Tangential-Normal (RTN) Coordinates, Level Beacon (LB), PT0.125S Data

description: STEREO Ahead reprocessed IMPACT/MAG Beacon magnetic field vector component and vector magnitude data expressed in Heliographic, HG, Radial-Tangential-Normal, RTN, Cartesian coordinates around the 2015 solar conjunction. * Version 1: Used internally at UCB and UCLA ONLY, No corrections applied to raw MAG data * Version 2: Offset correction applied to MAG data * Version 3: Initial algorithm for correcting glitches for the X sensor on STEREO Ahead applied * Version 4: Improvement in glitch correction algorithm applied * Version 5: Further refinement of the glitch correction for the X sensor on STEREO Ahead, Also, two timing issues resolved: - a) applying a 6 ms time shift to account for time lag between IMPACT IDPU and MAG - b) fixing an occasional 1 s 'glitch' * Version 6: Added FILTER_VALUE variable
DOI: 10.48322/b6fb-a452
title: STEREO-A IMPACT (In-Situ Measurements of Particles and CME Transients) Solar Electron Proton Telescope (SEPT) 1-min Level 1 Electron and Proton Spectra

description: The IMPACT Solar Electron Proton Telescope (SEPT) Level 1 data consist of electron and proton fluxes from each of 32 energy bands that span ~20 keV to 2000(electrons) or 7000(protons) keV. These spectra are determined each minute, in each of 4 directions with 60 deg fields of view (parallel and anti-parallel to the Parker magnetic field direction, and northward and southward from the ecliptic plane.
DOI: 10.48322/sp7s-tp20
title: STEREO-A IMPACT (In-Situ Measurements of Particles and CME Transients) Suprathermal Ion Telescope (SIT) 1-min Level 1 Multi-Z Ion Spectra

description: The IMPACT Suprathermal Ion Telescope (SIT) data consist of 1-min resolution ion fluxes of the following species (and numbers of energy bands, typically spanning ~0.04-9 MeV/n): H(12), 3He(10), 4He(16), C(17), O(16), NeS(16; neon through sulfur), Fe(14), UH(6; ultra heavy; 0.06-0.5 MeV/n), and associated uncertainties due to counting statistics.
DOI: 10.48322/c1sh-f024
title: STEREO-A IMPACT (In-Situ Measurements of Particles and CME Transients) Suprathermal Electron Telescope (STE) 10-s Level 1 Electron Spectra

description: The IMPACT Suprathermal Electron (STE) Telescope data consist of 10-sec resolution electron counts from each of 8 sensors in each of 32 energy bands that span 1.9 keV to 100 keV. Only four sensors provide unsaturated data that are scientifically usable.