cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31073497.v1
title: Processed Global Groundwater Level (GWL) Observations in Europe

description: This dataset provides <b>processed, quality-controlled, and gap-filled monthly groundwater level (GWL) observations</b> across Europe, derived from in-situ measurements available through the <b>Global Groundwater Monitoring Network (GGMN)</b>. The dataset was developed to support large-scale groundwater analysis, model evaluation, and satellite–model integration studies.The original GWL observations were obtained from the GGMN portal and comprise heterogeneous station records with varying temporal coverage and data completeness. To ensure data reliability and representativeness at the continental scale, only monitoring stations with <b>at least 40% temporal coverage</b> over the study period were retained. Stations with shorter, highly fragmented, or insufficiently documented records were excluded.To improve temporal continuity while preserving observed variability, missing values in the retained time series were reconstructed using a <b>hybrid statistical gap-filling approach</b> that combines <b>Least Squares Principal Component Analysis (LS-PCA)</b> and <b>Iterative PCA (IPCA)</b>. This method exploits both spatial and temporal correlations among groundwater monitoring stations, enabling robust estimation of missing observations while minimizing reconstruction error and avoiding over-smoothing of groundwater dynamics.The resulting dataset provides spatially distributed, temporally consistent monthly groundwater level time series suitable for validating large-scale groundwater storage products, assessing hydro-climatic variability, and supporting hydrological and data assimilation studies. Groundwater levels are reported relative to local station reference datums; therefore, the dataset is most appropriate for analyzing <b>temporal variability, anomalies, and trends</b>, rather than absolute hydraulic head comparisons across stations.
DOI: 10.6084/m9.figshare.31073497.v2
title: Processed Global Groundwater Level (GWL) Observations in Europe

description: This dataset provides <b>processed, quality-controlled, and gap-filled monthly groundwater level (GWL) observations</b> across Europe, derived from in-situ measurements available through the <b>Global Groundwater Monitoring Network (GGMN)</b>. The dataset was developed to support large-scale groundwater analysis, model evaluation, and satellite–model integration studies.The original GWL observations were obtained from the GGMN portal and comprise heterogeneous station records with varying temporal coverage and data completeness. To ensure data reliability and representativeness at the continental scale, only monitoring stations with <b>at least 40% temporal coverage</b> over the study period were retained. Stations with shorter, highly fragmented, or insufficiently documented records were excluded.To improve temporal continuity while preserving observed variability, missing values in the retained time series were reconstructed using a <b>hybrid statistical gap-filling approach</b> that combines <b>Least Squares Principal Component Analysis (LS-PCA)</b> and <b>Iterative PCA (IPCA)</b>. This method exploits both spatial and temporal correlations among groundwater monitoring stations, enabling robust estimation of missing observations while minimizing reconstruction error and avoiding over-smoothing of groundwater dynamics.The resulting dataset provides spatially distributed, temporally consistent monthly groundwater level time series suitable for validating large-scale groundwater storage products, assessing hydro-climatic variability, and supporting hydrological and data assimilation studies. Groundwater levels are reported relative to local station reference datums; therefore, the dataset is most appropriate for analyzing <b>temporal variability, anomalies, and trends</b>, rather than absolute hydraulic head comparisons across stations.
DOI: 10.6084/m9.figshare.19776145
title: Elastic Contrast, Rupture Directivity, and Damage Asymmetry in an Anisotropic Bimaterial Strike-Slip Fault at Middle Crustal Depths

description: The data files here have been used in Song et al. (2022, Journal of Geophysical Research, https://doi.org/10.1029/2021JB023821). Ten Excel files and one zipped file (EBSD and synthetic data) are provided. (1) One shows single-crystal stiffness tensors of quartz, plagiolcase, biotite (phlogopite), and muscovite. Three show (2) homogenized stiffness tensors, (3) 3D min and max velocities and anisotropies, and (4) 2D velocities and contrasts in the x1-x2 plane, for the natural and synthetid QF (quartzofeldspatic) and schist host rocks in the Sandhill Corner fault/shear zone, Maine, USA. (5) One is the source file to generate Table S2 and Figure 8 of Song et al. (2022), comparing the seismic properties of the Sandhill Corner shear zone to other published studies. The other five Excel files are from the sensitivity analysis on mica content using synthetic microstructures, which include (6) homogenized stiffness tensors, (7) 3D min and max velocities and aniostropies, (8) 2D velocities in the x1-x2 plane, (9) 2D velocity contrasts at azimuth=0 relative to the synthetic QF rock, and (10) 2D velocity contrasts at azimuth=0 relative to the natural QF rock. The zipped file contains all the EBSD and synthetic data (Euler angles, x-y coordinates, and phase ID) to compute seismic properties using TESA Toolbox.
DOI: 10.6084/m9.figshare.19776145.v3
title: Elastic Contrast, Rupture Directivity, and Damage Asymmetry in an Anisotropic Bimaterial Strike-Slip Fault at Middle Crustal Depths

description: The data files here have been used in Song et al. (2022, Journal of Geophysical Research, https://doi.org/10.1029/2021JB023821). Ten Excel files and one zipped file (EBSD and synthetic data) are provided. (1) One shows single-crystal stiffness tensors of quartz, plagiolcase, biotite (phlogopite), and muscovite. Three show (2) homogenized stiffness tensors, (3) 3D min and max velocities and anisotropies, and (4) 2D velocities and contrasts in the x1-x2 plane, for the natural and synthetid QF (quartzofeldspatic) and schist host rocks in the Sandhill Corner fault/shear zone, Maine, USA. (5) One is the source file to generate Table S2 and Figure 8 of Song et al. (2022), comparing the seismic properties of the Sandhill Corner shear zone to other published studies. The other five Excel files are from the sensitivity analysis on mica content using synthetic microstructures, which include (6) homogenized stiffness tensors, (7) 3D min and max velocities and aniostropies, (8) 2D velocities in the x1-x2 plane, (9) 2D velocity contrasts at azimuth=0 relative to the synthetic QF rock, and (10) 2D velocity contrasts at azimuth=0 relative to the natural QF rock. The zipped file contains all the EBSD and synthetic data (Euler angles, x-y coordinates, and phase ID) to compute seismic properties using TESA Toolbox.
DOI: 10.6084/m9.figshare.19776145.v2
title: Elastic Contrast, Rupture Directivity, and Damage Asymmetry in an Anisotropic Bimaterial Strike-Slip Fault at Middle Crustal Depths

description: Ten Excel files and one zipped file (EBSD and synthetic data) are provided. (1) One shows single-crystal stiffness tensors of quartz, plagiolcase, biotite (phlogopite), and muscovite. Three show (2) homogenized stiffness tensors, (3) 3D min and max velocities and anisotropies, and (4) 2D velocities and contrasts in the x1-x2 plane, for the natural and synthetid QF (quartzofeldspatic) and schist host rocks in the Sandhill Corner fault/shear zone, Maine, USA. (5) One is the source file to generate Table S2 and Figure 8 of B.R. Song et al. (2022, https://doi.org/10.1029/2021JB023821), comparing the seismic properties of the Sandhill Corner shear zone to other published studies. The other five Excel files are from the sensitivity analysis on mica content using synthetic microstructures, which include (6) homogenized stiffness tensors, (7) 3D min and max velocities and aniostropies, (8) 2D velocities in the x1-x2 plane, (9) 2D velocity contrasts at azimuth=0 relative to the synthetic QF rock, and (10) 2D velocity contrasts at azimuth=0 relative to the natural QF rock. The zipped file contains all the EBSD and synthetic data (Euler angles, x-y coordinates, and phase ID) to compute seismic properties using TESA Toolbox.
DOI: 10.5281/zenodo.18491825
title: Data from 315 respondents to assess the level of literacy of the population of different social profiles in the field of digital security (Ukraine)

description: The data are presented to assess the level of literacy of the population in the field of digital data security of the population of the Transcarpathian region (Ukraine). During March–June 2025, a questionnaire survey was conducted, within the framework of which data were collected from 315 respondents on 49 questions aimed at analyzing attitudes to information security problems and the features of interaction with the digital environment. The data obtained are representative and reflect the diversity of socio-demographic characteristics of the sample. There is an aggregated level of awareness of citizens in the field of cybersecurity. The formed empirical base provided verification of the quantitative and linguistic analysis of the results and justification of management decisions in the field of increasing the digital security of various social profiles of the population.
DOI: 10.5281/zenodo.18491824
title: Data from 315 respondents to assess the level of literacy of the population of different social profiles in the field of digital security (Ukraine)

description: The data are presented to assess the level of literacy of the population in the field of digital data security of the population of the Transcarpathian region (Ukraine). During March–June 2025, a questionnaire survey was conducted, within the framework of which data were collected from 315 respondents on 49 questions aimed at analyzing attitudes to information security problems and the features of interaction with the digital environment. The data obtained are representative and reflect the diversity of socio-demographic characteristics of the sample. There is an aggregated level of awareness of citizens in the field of cybersecurity. The formed empirical base provided verification of the quantitative and linguistic analysis of the results and justification of management decisions in the field of increasing the digital security of various social profiles of the population.
DOI: 10.5517/ccdc.csd.cc2p9pf4
title: CCDC 2481966: Experimental Crystal Structure Determination

description: Related Article: Zhi Yang|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.31263046.v1
title: Multi-Agent Deep Reinforcement Learning for Voltage Control in Regional Power Grid with Grid-Forming Energy Storage Stations

description: The increasing integration of stochastic renewable energy sources presents significant challenges to the voltage stability of regional power grids (RPGs). Traditional model-based control methods struggle with real-time requirements, while standard multi-agent deep reinforcement learning (MADRL) faces limitations in scalability and sample efficiency. To address these issues, this paper proposes a coordinated voltage control strategy integrating grid-forming energy storage stations (GFMSS) and an enhanced MADRL framework. First, a control-oriented model of GFMSS is established, explicitly embedding physical constraints into the learning environment. Second, to enhance scalability in mesh-structured grids, an attention mechanism is integrated into the critic network to dynamically filter redundant neighbor information. Third, a dual-track hybrid priority experience replay mechanism is designed, which employs a sliding window for concept drift adaptation and a permanent fault buffer for sparse sample retention, effectively mitigating catastrophic forgetting. Simulation results on modified IEEE 30-bus and 118-bus systems demonstrate that the proposed method reduces cumulative voltage deviation and achieves sub-second decision-making (0.14 s). Furthermore, the strategy exhibits superior transient resilience, enabling rapid voltage recovery within 1.2 s under short-circuit faults.
DOI: 10.6084/m9.figshare.31263046
title: Multi-Agent Deep Reinforcement Learning for Voltage Control in Regional Power Grid with Grid-Forming Energy Storage Stations

description: The increasing integration of stochastic renewable energy sources presents significant challenges to the voltage stability of regional power grids (RPGs). Traditional model-based control methods struggle with real-time requirements, while standard multi-agent deep reinforcement learning (MADRL) faces limitations in scalability and sample efficiency. To address these issues, this paper proposes a coordinated voltage control strategy integrating grid-forming energy storage stations (GFMSS) and an enhanced MADRL framework. First, a control-oriented model of GFMSS is established, explicitly embedding physical constraints into the learning environment. Second, to enhance scalability in mesh-structured grids, an attention mechanism is integrated into the critic network to dynamically filter redundant neighbor information. Third, a dual-track hybrid priority experience replay mechanism is designed, which employs a sliding window for concept drift adaptation and a permanent fault buffer for sparse sample retention, effectively mitigating catastrophic forgetting. Simulation results on modified IEEE 30-bus and 118-bus systems demonstrate that the proposed method reduces cumulative voltage deviation and achieves sub-second decision-making (0.14 s). Furthermore, the strategy exhibits superior transient resilience, enabling rapid voltage recovery within 1.2 s under short-circuit faults.
DOI: 10.6084/m9.figshare.31263007
title: <b>Comparing Eriophyoid Extraction Methods: Assessing Efficiency, Advantages, and Limitations</b>

description: Eriophyoid mites are significant agricultural pests with minute size and cryptic behavior. Monitoring their populations requires efficient extraction methods to accurately quantify infestation levels. We compared the efficiency of two extraction methods: a sieve-based washing technique and a passive collection method using a plastic sheet. We counted the number of mites extracted from each method and the time required to complete the process. The sieve method involved steering infested tissue in a water–soap–bleach solution for 5 minutes, then filtered through three sieves and rinsed. In the plastic sheet method, infested tissue was placed on a black plastic sheet with double-sided tape along the edges to confine and trap mites, which were counted after three days. We evaluated three eriophyoids: the gall-making species, <i>Aceria litchii</i> and <i>Acalitus simplex</i>, and the free-living species<i> Aculops lycopersici</i>. Overall, more gall-making species were collected using the plastic sheet method (630.88 mean ± 2.96 SE) than the sieve method (61.85 ± 1.06). In contrast, both methods were equally effective for the free-living <i>A. lycopersici</i>. The sample processing time was not significantly different between the two methods. Mite biology and method trade-offs drive extraction efficiency.
DOI: 10.6084/m9.figshare.31263007.v1
title: <b>Comparing Eriophyoid Extraction Methods: Assessing Efficiency, Advantages, and Limitations</b>

description: Eriophyoid mites are significant agricultural pests with minute size and cryptic behavior. Monitoring their populations requires efficient extraction methods to accurately quantify infestation levels. We compared the efficiency of two extraction methods: a sieve-based washing technique and a passive collection method using a plastic sheet. We counted the number of mites extracted from each method and the time required to complete the process. The sieve method involved steering infested tissue in a water–soap–bleach solution for 5 minutes, then filtered through three sieves and rinsed. In the plastic sheet method, infested tissue was placed on a black plastic sheet with double-sided tape along the edges to confine and trap mites, which were counted after three days. We evaluated three eriophyoids: the gall-making species, <i>Aceria litchii</i> and <i>Acalitus simplex</i>, and the free-living species<i> Aculops lycopersici</i>. Overall, more gall-making species were collected using the plastic sheet method (630.88 mean ± 2.96 SE) than the sieve method (61.85 ± 1.06). In contrast, both methods were equally effective for the free-living <i>A. lycopersici</i>. The sample processing time was not significantly different between the two methods. Mite biology and method trade-offs drive extraction efficiency.
DOI: 10.24435/materialscloud:23-ge
title: MC3D: The Materials Cloud computational database of experimentally known stoichiometric inorganics

description: Density functional theory (DFT) is a widely used method to compute properties of materials, which are often collected in databases and serve as valuable starting points for further studies. In this article, we present the Materials Cloud Three-Dimensional Structure Database (MC3D), an online database of computed 3D inorganic crystal structures. Close to a million experimentally reported structures were imported from the COD, ICSD and MPDS databases; these were parsed and filtered to yield a collection of 72589 unique and stoichiometric structures, of which 95% are, to date, classified as experimentally known. The geometries of structures with up to 64 atoms were then optimized using DFT with automated workflows and curated input protocols. The procedure was repeated for different functionals (and computational protocols), with the latest version (MC3D PBEsol-v2) comprising 32013 unique structures. All versions of the MC3D are made available on the Materials Cloud portal, which provides a graphical interface to explore and download the data. The database includes the full provenance graph of all the calculations driven by the automated workflows, thus establishing full reproducibility of the results and more-than-FAIR procedures.

This data entry includes the data with full provenance for all three versions: PBE-v1, PBEsol-v1 and PBEsol-v2.
DOI: 10.24435/materialscloud:jn-ac
title: MC3D: The Materials Cloud computational database of experimentally known stoichiometric inorganics

description: Density functional theory (DFT) is a widely used method to compute properties of materials, which are often collected in databases and serve as valuable starting points for further studies. In this article, we present the Materials Cloud Three-Dimensional Structure Database (MC3D), an online database of computed 3D inorganic crystal structures. Close to a million experimentally reported structures were imported from the COD, ICSD and MPDS databases; these were parsed and filtered to yield a collection of 72589 unique and stoichiometric structures, of which 95% are, to date, classified as experimentally known. The geometries of structures with up to 64 atoms were then optimized using DFT with automated workflows and curated input protocols. The procedure was repeated for different functionals (and computational protocols), with the latest version (MC3D PBEsol-v2) comprising 32013 unique structures. All versions of the MC3D are made available on the Materials Cloud portal, which provides a graphical interface to explore and download the data. The database includes the full provenance graph of all the calculations driven by the automated workflows, thus establishing full reproducibility of the results and more-than-FAIR procedures.

This data entry includes the data with full provenance for all three versions: PBE-v1, PBEsol-v1 and PBEsol-v2.
DOI: 10.5281/zenodo.18254154
title: Additional example images for the manuscript "Zero-Order Diffraction Suppression in Full Field-of-View Computer Generated Holography: A Camera In the Loop Interferometric Approach"

description: This dataset is meant to complement the upcoming manuscript "Zero-Order Diffraction Suppression in Full Field-of-View Computer Generated Holography: A Camera In the Loop Interferometric Approach". The data reported shows a selection of computer generated holograms before and after suppression of the zeroth order of diffraction with the method described in the manuscript.

 The images were acquired with a 635 nm laser, modulated by a Holoeye-Pluto phase only spatial light modulator and focused on a 16-bit sCMOS camera (PCO Pandas) by a 100 mm plano-convex lens. The laser power and camera parameters were not changed after zeroth order compensation.

 For more information on the method, please consult the related manuscript.

The second version includes the raw data from the figure reported in the manuscript, and some additional examples
DOI: 10.5281/zenodo.18491954
title: Additional example images for the manuscript "Zero-Order Diffraction Suppression in Full Field-of-View Computer Generated Holography: A Camera In the Loop Interferometric Approach"

description: This dataset is meant to complement the upcoming manuscript "Zero-Order Diffraction Suppression in Full Field-of-View Computer Generated Holography: A Camera In the Loop Interferometric Approach". The data reported shows a selection of computer generated holograms before and after suppression of the zeroth order of diffraction with the method described in the manuscript.

 The images were acquired with a 635 nm laser, modulated by a Holoeye-Pluto phase only spatial light modulator and focused on a 16-bit sCMOS camera (PCO Pandas) by a 100 mm plano-convex lens. The laser power and camera parameters were not changed after zeroth order compensation.

 For more information on the method, please consult the related manuscript.

The second version includes the raw data from the figure reported in the manuscript, and some additional examples
DOI: 10.34740/kaggle/dsv/14739404
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.6084/m9.figshare.16752682
title: Energy Partitioning, Dynamic Fragmentation, and Off-Fault Damage in the Earthquake Source Volume

description: Three tables (#2, #4 and #5) are provided. Table 2 shows fragmented garnet data including fragment size from the Sandhill Corner fault/shear zone, Maine, USA. Table 4 provides the results of surface-area energy density and tensile strain rate calculated from the garnet data. Table 5 compares fracture surface-are energy per unit fault area using the fragmented garnet to other published studies of converted non-radiated earthquake energy.<br>
DOI: 10.6084/m9.figshare.16752682.v1
title: Energy Partitioning, Dynamic Fragmentation, and Off-Fault Damage in the Earthquake Source Volume

description: Three tables (#2, #4 and #5) are provided. Table 2 shows fragmented garnet data including fragment size from the Sandhill Corner fault/shear zone, Maine, USA. Table 4 provides the results of surface-area energy density and tensile strain rate calculated from the garnet data. Table 5 compares fracture surface-are energy per unit fault area using the fragmented garnet to other published studies of converted non-radiated earthquake energy.<br>
DOI: 10.5281/zenodo.17256866
title: Filter Pore Size of seawater eDNA samples: Shotgun Sequencing - Part 1/2

description: Data related to the publication "Filter pore size influences taxonomic composition of retained eDNA from seawater samples – evidence from shotgun sequencing". Raw sequencing files could be found in ENA/NCBI under the BioProject PRJEB104040.

This dataset contains:




 
Number of files
Decompressed Weight


Paired-reads in fasta format 
15
53 GB


Raw Blast results
15
810 GB


md5 hashes 
1
-