cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19335848
title: Data and Code for Increasing Extreme Precipitation Polarizes Spatial Patterns of Flood Risks in China_2023_0614

description: The ‘dry gets drier, wet gets wetter’ paradigm for a warming climate has been widely accepted. It remains a question whether this polarization trend holds for flood risk, as it is affected by multifold driving factors besides precipitation.
DOI: 10.6084/m9.figshare.19335848.v1
title: Increasing Extreme Precipitation Polarizes Spatial Patterns of Flood Risks in China

description: The ‘dry gets drier, wet gets wetter’ (DDWW) paradigm for a warming climate has been widely accepted. It remains a question whether this polarization trend holds for flood risk, as it is affected by multifold driving factors besides precipitation. Here we perform a China-wide analysis of precipitation-induced flood risk by considering daily precipitation records covering 2,165 stations during 1960-2020. Our findings show that 8.1% and 15.8% of stations registered a polarization of existing patterns, i.e., DDWW and ‘high-risk gets higher and low-risk gets lower’ (HHLL), compared to 9.2% and 12.7% transforming to the opposite pattern from 1980 to 2020.
DOI: 10.6084/m9.figshare.19335848.v2
title: Data and Code for Increasing Extreme Precipitation Polarizes Spatial Patterns of Flood Risks in China_2023_0614

description: The ‘dry gets drier, wet gets wetter’ paradigm for a warming climate has been widely accepted. It remains a question whether this polarization trend holds for flood risk, as it is affected by multifold driving factors besides precipitation.
DOI: 10.23729/c869a2b4-bc11-40c6-8063-448d84fe076b
title: 2023_Vuorte_SoftMatter

description: This data set contains the supplementary files (simulation input and output files) and data associated with the following publication: Vuorte, M. & Sammalkorpi, M. (2023). From microemulsion phase diagrams to hydrophilicity and hydration controlled adsorption: A dissipative particle dynamics modelling study of phospholipid assembly in bio oils. Soft Matter, DOI: https://doi.org/10.1039/D3SM00508A. Please cite the above publication when using this data set! This work was supported by the Academy of Finland through its Centres of Excellence Programme (2022-2029, LIBER) under project no. 346111 (M.S.) and Novo Nordisk Foundation under project no. NNF22OC0074060 (M.S.). We are grateful for the support by FinnCERES Materials Bioeconomy Ecosystem. Computational resources by CSC IT Centre for Finland, RAMI -- RawMatters Finland Infrastructure, and Aalto Science-IT project are also gratefully acknowledged.
DOI: 10.48677/8dc34529-141d-4bc8-baeb-abb6edfeb847
title: ALS DSM CRS3035RES50000mN2800000E4750000 Höhenraster 1m Stichtag 15.09.2022

description: Das Digitale Oberflächenmodell (DOM, engl.: DSM) beschreibt die Erdoberfläche samt allen darauf befindlichen Objekten in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Im Unterschied zum digitalen Geländemodell (DGM) wird somit die Vegetations- und Bebauungsoberfläche dargestellt. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/454ddb87-4f5c-4f38-a86e-d78890481148
title: ALS DSM CRS3035RES50000mN2800000E4800000 Höhenraster 1m Stichtag 15.09.2022

description: Das Digitale Oberflächenmodell (DOM, engl.: DSM) beschreibt die Erdoberfläche samt allen darauf befindlichen Objekten in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Im Unterschied zum digitalen Geländemodell (DGM) wird somit die Vegetations- und Bebauungsoberfläche dargestellt. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/861dea0b-090b-4f1d-a098-a37554a588ce
title: ALS DSM CRS3035RES50000mN2850000E4600000 Höhenraster 1m Stichtag 15.09.2022

description: Das Digitale Oberflächenmodell (DOM, engl.: DSM) beschreibt die Erdoberfläche samt allen darauf befindlichen Objekten in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Im Unterschied zum digitalen Geländemodell (DGM) wird somit die Vegetations- und Bebauungsoberfläche dargestellt. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.15129/d67d6b56-fa47-4f18-b244-002a74c504f8
title: Data for: “Pontine waves accompanied by short hippocampal sharp wave-ripples during non-rapid eye movement sleep”

description: This dataset contains low-level data files and meta-data files to reproduce quantitative results for the manuscript above. Please see the README file.
DOI: 10.15129/b13d7b6d-a7a1-407f-a29f-f40fdf29a6e8
title: Data for: "Effects of optogenetic stimulation of basal forebrain parvalbumin neurons on Alzheimer's pathology"

description: This dataset contains meta-data files to reproduce quantitative results for the manuscript above. Please see the README file.
DOI: 10.5281/zenodo.8005428
title: NESPOMILA Open Data Archive

description: This is an open archive of data related to the <em>New Speakers of Minority Languages: Proficiency, Variation, and Change </em>project (2021--2023), hosted at the Institute of Slavic Studies, Polish Academy of Sciences. Contents of the archive is detailed in the README.md and README.org files. The files contained in this archive were made at project end as per the funding agreement, however there's also a git repo for these data -- https://github.com/bobborges/nespomila -- check there for the most up-to-date versions of data; contribute to publicly available analyses by making a pull request.
description: The research leading to these results has received funding from the Norwegian Financial Mechanism 2014-2021: 2020/37/K/HS2/02779.
DOI: 10.5281/zenodo.8005427
title: NESPOMILA Open Data Archive

description: This is an open archive of data related to the <em>New Speakers of Minority Languages: Proficiency, Variation, and Change </em>project (2021--2023), hosted at the Institute of Slavic Studies, Polish Academy of Sciences. Contents of the archive is detailed in the README.md and README.org files. The files contained in this archive were made at project end as per the funding agreement, however there's also a git repo for these data -- https://github.com/bobborges/nespomila -- check there for the most up-to-date versions of data; contribute to publicly available analyses by making a pull request.
description: The research leading to these results has received funding from the Norwegian Financial Mechanism 2014-2021: 2020/37/K/HS2/02779.
DOI: 10.48677/1626a08c-48dc-4348-86f9-ddf2578cfba3
title: ALS DSM CRS3035RES50000mN2850000E4650000 Höhenraster 1m Stichtag 15.09.2022

description: Das Digitale Oberflächenmodell (DOM, engl.: DSM) beschreibt die Erdoberfläche samt allen darauf befindlichen Objekten in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Im Unterschied zum digitalen Geländemodell (DGM) wird somit die Vegetations- und Bebauungsoberfläche dargestellt. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/1262102c-cfb8-467d-8a9a-8060127fd997
title: ALS DSM CRS3035RES50000mN2850000E4700000 Höhenraster 1m Stichtag 15.09.2022

description: Das Digitale Oberflächenmodell (DOM, engl.: DSM) beschreibt die Erdoberfläche samt allen darauf befindlichen Objekten in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Im Unterschied zum digitalen Geländemodell (DGM) wird somit die Vegetations- und Bebauungsoberfläche dargestellt. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.5281/zenodo.8084926
title: On-Demand Inkjet Printed Hydrophilic Coatings for Flow Control in 3D-Printed Microfluidic Devices Embedded with Organic Electrochemical Transistors

description: Dataset of the journal article "On-Demand Inkjet Printed Hydrophilic Coatings for Flow Control in 3D-Printed Microfluidic Devices Embedded with Organic Electrochemical Transistors", article DOI: 10.1002/admt.202300127
DOI: 10.5281/zenodo.8084927
title: On-Demand Inkjet Printed Hydrophilic Coatings for Flow Control in 3D-Printed Microfluidic Devices Embedded with Organic Electrochemical Transistors

description: Dataset of the journal article "On-Demand Inkjet Printed Hydrophilic Coatings for Flow Control in 3D-Printed Microfluidic Devices Embedded with Organic Electrochemical Transistors", article DOI: 10.1002/admt.202300127
DOI: 10.48677/76900e86-ac6f-4f02-868f-341f5b1691f5
title: ALS DSM CRS3035RES50000mN2850000E4750000 Höhenraster 1m Stichtag 15.09.2022

description: Das Digitale Oberflächenmodell (DOM, engl.: DSM) beschreibt die Erdoberfläche samt allen darauf befindlichen Objekten in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Im Unterschied zum digitalen Geländemodell (DGM) wird somit die Vegetations- und Bebauungsoberfläche dargestellt. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.48677/e19250c1-e148-4261-8982-38063562f8a9
title: ALS DSM CRS3035RES50000mN2850000E4800000 Höhenraster 1m Stichtag 15.09.2022

description: Das Digitale Oberflächenmodell (DOM, engl.: DSM) beschreibt die Erdoberfläche samt allen darauf befindlichen Objekten in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Im Unterschied zum digitalen Geländemodell (DGM) wird somit die Vegetations- und Bebauungsoberfläche dargestellt. Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.
DOI: 10.6084/m9.figshare.19984217
title: Female reproductive fluid concentrations affect sperm performance of alternative male phenotypes in an external fertilizer

description: Supporting data and R scripts for the manuscript "Post-mating female control: reproductive fluid concentrations drive cryptic choice in an external fertilizer".<strong> </strong>Description of all files and variables can be found in the "README" file.
DOI: 10.6084/m9.figshare.19984217.v5
title: Female reproductive fluid concentrations affect sperm performance of alternative male phenotypes in an external fertilizer

description: Supporting data and R scripts for the manuscript "Post-mating female control: reproductive fluid concentrations drive cryptic choice in an external fertilizer".<strong> </strong>Description of all files and variables can be found in the "README" file.
DOI: 10.6084/m9.figshare.19984217.v4
title: Female reproductive fluid concentrations affect sperm performance of alternative male phenotypes in an external fertilizer

description: Supporting data and R scripts for the manuscript "Post-mating female control: reproductive fluid concentrations drive cryptic choice in an external fertilizer".<strong> </strong>Description of all files and variables can be found in the "README" file.
DOI: 10.5519/qd.cs7dep8h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.14473/csda/u1ym99/leqdml
title: K_ISSP00021.pdf

description: Karty
DOI: 10.14473/csda/u1ym99/ewmkvg
title: D_ISSP00021.pdf

description: Dotazník
DOI: 10.14473/csda/u1ym99/ssu5qm
title: 130171-1klient.tab

description: Data
DOI: 10.14473/csda/u1ym99/xatb2p
title: TI_ISSP00021.pdf

description: Technická informace
DOI: 10.6084/m9.figshare.23585232
title: Supplementary Material for: Observed Emotional Availability (EA) in the Early Months and Adolescence and Self-Reported EA at Any Age: A Narrative Review

description: Emotional Availability (EA) is a relational construct that encompasses the ability of a dyad to share an emotionally connected, safe relationship. EA is operationalized by the multi-dimensional framework, which includes the observational EA Scales, the observational Emotional Attachment Zones (EA-Z), as well as the EA Self-Report (EA-SR). The observational EA Scales measure the mutual interactive influences a child and parent may have on one another, through observation of their affect and behavior, and consist of 4 adult dimensions (sensitivity, structuring, nonintrusiveness, and nonhostility) and 2 child dimensions (responsiveness and involvement of the adult). The EA-Z refers to “emotional attachment styles” and are based on the summary of the observational EA Scales, assigned separately to adult and child (Emotionally Available, Complicated, Detached, Problematic/Disturbed/Traumatized or Traumatizing), with the potential that the emotional attachment perspective of the adult and child may not be the same. The EA Self Report is about parental perceptions rather than observations, which should be taken into account in interpreting its findings. Collectively, these different measurements are referred to as the EA System. In this review, we focus on the EA-SR at any age, as well as EA observations, on the earliest months and adolescence.
DOI: 10.14473/csda/q65nvn/bdlklk
title: OM_ISSP00022.pdf

description: Ostatní materiály
DOI: 10.14473/csda/q65nvn/nr0cpf
title: D_ISSP00022.pdf

description: Dotazník
DOI: 10.14473/csda/q65nvn/fhzc3r
title: TI_ISSP00022.pdf

description: Technická informace
DOI: 10.14473/csda/q65nvn/lgnayp
title: K_ISSP00022.pdf

description: Karty
DOI: 10.14473/csda/q65nvn/jbcdhh
title: ISSP_2014_Citizenship_II_SCaC_final.tab

description: Data
DOI: 10.18112/openneuro.ds004621.v1.0.0
title: The Nencki-Symfonia EEG/ERP dataset
DOI: 10.18112/openneuro.ds004622.v1.0.0
title: A Polish Electroencephalography, Alzheimer’s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database
DOI: 10.6084/m9.figshare.20965759.v3
title: Organic alkalinity as an important constituent of total alkalinity and the buffering system in coastal transition zones

description: This is the data reported in the manuscript, entitled " Organic alkalinity as an important constituent of total alkalinity and the buffer system in coastal transition zones", submitted to "JGR-Oceans" for consideration for publication.
DOI: 10.5285/c40cdd54-583a-43b2-b5fe-1784cbabfd71
title: Solubility, kinetics and metal drawdown during precipitation of Fe(II)-silicate over a range of temperatures

description: Solubility and kinetic data for Fe(II)-silicate precipitation over a range of temperatures, as well as metal drawdown and metal release during diagenesis. Characterisation data for solid precipitates using FTIR and XRD. The XRDML data should be opened on Panalytical highscore, and the XLS file should be opened with Excel, Numbers or OpenOffice. Paper currently under review ‘Micronutrient availability in ferruginous, silica-rich Precambrian oceans’, Rosalie Tostevin, Imad Ahmed
DOI: 10.14473/csda/5rpfj9/5hjzda
title: TI_ISSP00023.pdf

description: Technická informace
DOI: 10.14473/csda/5rpfj9/0melz9
title: D_ISSP00023.pdf

description: Dotazník
DOI: 10.14473/csda/5rpfj9/wllwdb
title: ISSP_2015_CZ.tab

description: Data
DOI: 10.14473/csda/el50fx/1gfrgk
title: D_ISSP00024.pdf

description: Dotazník k výzkumu
DOI: 10.14473/csda/el50fx/rrqrx6
title: issp_n1400_255.tab

description: Data
DOI: 10.14473/csda/el50fx/boomsp
title: TI_ISSP00024.pdf

description: Technická informace AJ
DOI: 10.4119/unibi/2979080
title: Dataset for "Heavy Quark Diffusion from 2+1 Flavor Lattice QCD with 320 MeV Pion Mass"

description: ## Dataset for "Heavy Quark Diffusion from 2+1 Flavor Lattice QCD with 320 MeV Pion Mass" Data publication for the paper "Heavy Quark Diffusion from 2+1 Flavor Lattice QCD with 320 MeV Pion Mass", [Phys.Rev.Lett. 130 (2023) 23, 231902](https://doi.org/10.1103/PhysRevLett.130.231902) ([arXiv:2302.08501](https://arxiv.org/abs/2302.08501)).<br><br> Contains all data, analysis software and scripts for the results and figures of the publication.<br><br> The analysis software is open source under<br> [https://github.com/luhuhis/correlators_flow](https://github.com/luhuhis/correlators_flow)<br> and<br> [https://github.com/LatticeQCD/AnalysisToolbox](https://github.com/LatticeQCD/AnalysisToolbox) The gauge field configurations were generated using<br> [https://github.com/LatticeQCD/SIMULATeQCD](https://github.com/LatticeQCD/SIMULATeQCD)<br> and are available on request.
DOI: 10.17028/rd.lboro.22093589
title: Underlying data: Influence of voltage profile and fitting technique on the accuracy of lithium-ion battery degradation identification through an Open-Circuit-Voltage Model

description: Underlying experimental and modelling data from the journal paper: Influence of voltage profile and fitting technique on the accuracy of lithium-ion battery degradation identification through an Open-Circuit-Voltage Model. <strong>Article abstract:</strong> Accurate estimation of degradation in lithium-ion batteries is essential in predicting remaining useful life and understanding how to better operate batteries for extended lifetimes. A common way of estimating degradation modes in lithium-ion batteries is to analyse the cells voltage profile through techniques such as incremental capacity analysis, differential voltage analysis or direct fitting of half-cell potential profiles. To extract degradation modes such as loss of lithium inventory or loss of active material requires accurate knowledge of the individual electrode half-cell potential profiles, which is often not available for commercial cells without performing a cell teardown. This work investigates how the choice of half-cell potential profile influences the accuracy of a parametric voltage profile model to estimate electrode capacity and simulated degradation modes through a combination of half-cell and three electrode testing on a LiNi0.5Mn0.3Co0.2O2/Graphite cell. Results demonstrate that whilst half-cell potential data from the same electrode material batch gives the most accurate voltage profile fit, other data sources for the same electrode chemistry can also accurately estimate individual electrode capacity in a fresh cell. However, when degradation modes are induced into the voltage profile, only the model using half-cell profiles obtained from similar sources to the full-cell configurations are able to accurately distinguish between loss of lithium inventory and loss of active material of the positive electrode. It is also shown that the diagnostic accuracy of the parametric voltage profile model can be improved for all data sources through combined fitting of the voltage, incremental capacity and differential voltage analysis compared to voltage profile fitting alone.
DOI: 10.5281/zenodo.8085521
title: Romania Interview Responses

description: Responses from interviews and surveys conducted by Gabriela Groza between 2019 and 2021. Data is collected from samples of prisoners and prison employees in Romania.
DOI: 10.5281/zenodo.8085520
title: Romania Interview Responses

description: Responses from interviews and surveys conducted by Gabriela Groza between 2019 and 2021. Data is collected from samples of prisoners and prison employees in Romania.
DOI: 10.34740/kaggle/dsv/6036029
title: AutoXGB
DOI: 10.5281/zenodo.7889636
title: 3-component synthetic seismograms associated with highly heterogeneous geologies

description: This dataset has been generated by propagating seismic waves in heteroegenous geologies. Geologies are 3D domains of size 9.6 x 9.6 x 9.6 km. The source is placed at (4.8km, 4.8km, -8.4km). It is parametrized as a moment tensor with M<sub>0</sub> = 2.47 · 10<sup>16</sup> N.m, strike = 48°, dip = 45°, and rake = 88°. The propagation of seismic waves is simulated with SEM3D, a High-Performance Code based on the Spectral Element Method. The simulation lasts for 20s. Ground motion is recorded at the surface by a grid of 16 x 16 sensors (600m spacing between two consecutive sensors). This dataset contains velocity timeseries for the sensor located at coordinates (1390m, 1390m). There are 3 timeseries associated with the three components (EW = East-West, NS = North-South, Z = upward). Timeseries are given at a 100Hz frequency. Due to the definition of the mesh elements in the numerical simulation, results are accurate only up to a 5Hz frequency. Timeseries still contain frequencies above 5Hz but they have no physical meaning. Each file is given as a numpy array. Each row corresponds to one numerical simulation (i.e. one geology). Columns correspond to the time steps (0, 0.01, 0.02, ..., 19.98, 19.99).
DOI: 10.5281/zenodo.7889637
title: 3-component synthetic seismograms associated with highly heterogeneous geologies

description: This dataset has been generated by propagating seismic waves in heteroegenous geologies. Geologies are 3D domains of size 9.6 x 9.6 x 9.6 km. The source is placed at (4.8km, 4.8km, -8.4km). It is parametrized as a moment tensor with M<sub>0</sub> = 2.47 · 10<sup>16</sup> N.m, strike = 48°, dip = 45°, and rake = 88°. The propagation of seismic waves is simulated with SEM3D, a High-Performance Code based on the Spectral Element Method. The simulation lasts for 20s. Ground motion is recorded at the surface by a grid of 16 x 16 sensors (600m spacing between two consecutive sensors). This dataset contains velocity timeseries for the sensor located at coordinates (1390m, 1390m). There are 3 timeseries associated with the three components (EW = East-West, NS = North-South, Z = upward). Timeseries are given at a 100Hz frequency. Due to the definition of the mesh elements in the numerical simulation, results are accurate only up to a 5Hz frequency. Timeseries still contain frequencies above 5Hz but they have no physical meaning. Each file is given as a numpy array. Each row corresponds to one numerical simulation (i.e. one geology). Columns correspond to the time steps (0, 0.01, 0.02, ..., 19.98, 19.99).
DOI: 10.5281/zenodo.7891998
title: 3-component synthetic seismograms associated with highly heterogeneous geologies

description: This dataset has been generated by propagating seismic waves in heteroegenous geologies. Geologies are 3D domains of size 9.6 x 9.6 x 9.6 km. The source is placed at (4.8km, 4.8km, -8.4km). It is parametrized as a moment tensor with M<sub>0</sub> = 2.47 · 10<sup>16</sup> N.m, strike = 48°, dip = 45°, and rake = 88°. The propagation of seismic waves is simulated with SEM3D, a High-Performance Code based on the Spectral Element Method. The simulation lasts for 20s. Ground motion is recorded at the surface by a grid of 16 x 16 sensors (600m spacing between two consecutive sensors). This dataset contains velocity timeseries for the sensor located at coordinates (1390m, 1390m). There are 3 timeseries associated with the three components (EW = East-West, NS = North-South, Z = upward). Timeseries are given at a 100Hz frequency. Due to the definition of the mesh elements in the numerical simulation, results are accurate only up to a 5Hz frequency. Timeseries still contain frequencies above 5Hz but they have no physical meaning. Each file is given as a numpy array. Each row corresponds to one numerical simulation (i.e. one geology). Columns correspond to the time steps (0, 0.01, 0.02, ..., 19.98, 19.99).