cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4442672
title: Friction dataset

description: The dataset contains labeled input images. Each image represents a surface, while the corresponding (three) targets represent the maximum static friction force, the slope of the static friction force and the dynamic friction force. The system consists of alpha-quartz, where the surface structures are carved out using simplex noise. Molecular dynamics simulations in LAMMPS were run to estimate friction properties of the surfaces.
DOI: 10.5281/zenodo.4544320
title: Friction dataset

description: The datasets contain images of surfaces with structures generated by simplex noise. The initial systems consist of two surfaces of \(\alpha\)-quartz (SiO\(_2\)), where the simplex noise is carved out on the lower surface. The systems are created using molecular-builder . To generate the dataset, we apply Ovito for rendering the images, and transform the images to binary images using Python. The relevant Python scripts can be found at my github repo. All images have shape (1, 128, 128), e.g. one channel. <strong>Labeled dataset</strong><br> We label the different surfaces by the friction response. When labeling, we measure the slope of the static friction, the maximum static friction and the dynamic friction. This is done using molecular dynamics simulations in LAMMPS. Therefore, each labeled surface is associated with three targets. The labeled dataset is named <em>simplex_friction_128x128.pbz2</em>, and contains 1800 surfaces labeled with the friction response. The surfaces were generated on a grid with scales 1-9 and octaves numbers 1-4, 50 surfaces in each category. To unzip and read the dataset in a Python script, use: <pre><code class="language-python">import bz2 import _pickle as cPickle with bz2.BZ2File('simplex_friction_128x128.pbz2', 'rb') as f: dataset = cPickle.load(f) inputs = dataset['x'] labels = dataset['y']</code></pre> where <em>inputs</em> and <em>labels</em> are Python lists. <strong>Unlabeled dataset</strong><br> The unlabeled dataset is stored as <em>unlabeled_simplex_friction_128x128.pbz2</em>. It contains 180,000 surfaces generated on a grid with scales 1-9 and octave numbers 1-4, with 5000 surfaces in each category. To unzip and read, use: <pre><code class="language-python">import bz2 import _pickle as cPickle with bz2.BZ2File('unlabeled_simplex_friction_128x128.pbz2', 'rb') as f: dataset = cPickle.load(f) inputs = dataset['x'] attr = dataset['y']</code></pre> where <em>inputs</em> and <em>attr</em> are Python lists. <em>attr </em>contains information about the simplex noise (scale, octaves, seed).
DOI: 10.6084/m9.figshare.25443679
title: Unscented Particle Filters with Refinement Steps for UAV Pose Tracking

description: Video + Annotation (X, Y, Z, α, β, γ)For additional details, please check the following article:<br>Nuno Pessanha Santos, Vitor Lobo and Alexandre Bernardino, <i>Unscented Particle Filters with Refinement Steps for UAV Pose Tracking </i>in <i>Journal of Intelligent and Robotic Systems</i> 102<b>, </b>52, 2021.<br>DOI: <b>https://doi.org/10.1007/s10846-021-01409-y</b>
DOI: 10.6084/m9.figshare.25443679.v2
title: Unscented Particle Filters with Refinement Steps for UAV Pose Tracking

description: Video + Annotation (X, Y, Z, α, β, γ)For additional details, please check the following article:<br>Nuno Pessanha Santos, Vitor Lobo and Alexandre Bernardino, <i>Unscented Particle Filters with Refinement Steps for UAV Pose Tracking </i>in <i>Journal of Intelligent and Robotic Systems</i> 102<b>, </b>52, 2021.<br>DOI: <b>https://doi.org/10.1007/s10846-021-01409-y</b>
DOI: 10.6084/m9.figshare.25443679.v1
title: Unscented Particle Filters with Refinement Steps?for UAV Pose Tracking

description: Video + Annotation (X, Y, Z, α, β, γ)For additional details, please check the following article:<br>Nuno Pessanha Santos, Vitor Lobo and Alexandre Bernardino, <i>Unscented Particle Filters with Refinement Steps for UAV Pose Tracking </i>in <i>Journal of Intelligent and Robotic Systems</i> 102<b>, </b>52, 2021.<br>DOI: <b>https://doi.org/10.1007/s10846-021-01409-y</b>
DOI: 10.18419/darus-2790/1554
title: submit.sh

description: :unav
DOI: 10.18419/darus-2790/1555
title: submit.sh

description: :unav
DOI: 10.5281/zenodo.10843923
title: Pseudodynamic testing of a substandard infilled steel structure

description: Data from the pseudodynamic testing of a substandard, infilled steel building,  is provided. The structure and related testing activities are described in:







"Assessment of existing steel frames: Numerical study, pseudo-dynamic testing and influence of masonry infills" (2021) Luigi Di Sarno, Fabio Freddi, Mario D’Aniello, Oh-Sung Kwon, Jing-Ren Wu, Fernando Guti ́errez-Urzúa, Raffaele Landolfo, Jamin Park, Xenofon Palios, Elias Strepelias,Journal of Constructional Steel Research, 185,  https://doi.org/10.1016/j.jcsr.2021.106873
DOI: 10.5281/zenodo.10843922
title: Pseudodynamic testing of a substandard infilled steel structure

description: Data from the pseudodynamic testing of a substandard, infilled steel building,  is provided. The structure and related testing activities are described in:







"Assessment of existing steel frames: Numerical study, pseudo-dynamic testing and influence of masonry infills" (2021) Luigi Di Sarno, Fabio Freddi, Mario D’Aniello, Oh-Sung Kwon, Jing-Ren Wu, Fernando Guti ́errez-Urzúa, Raffaele Landolfo, Jamin Park, Xenofon Palios, Elias Strepelias,Journal of Constructional Steel Research, 185,  https://doi.org/10.1016/j.jcsr.2021.106873
DOI: 10.6084/m9.figshare.25443739
title: Directional Statistics for 3D Model-Based UAV Tracking

description: Video + Annotation (X, Y, Z, α, β, γ)For additional details, please check the following article:<br>Nuno Pessanha Santos, Vitor Lobo and Alexandre Bernardino, Directional Statistics for 3D Model-Based UAV Tracking in IEEE Access, vol. 8, pp. 33884-33897, 2020.<br>DOI: <b>https://doi.org/10.1109/ACCESS.2020.2973970</b>
DOI: 10.34740/kaggle/dsv/7895961
title: COVID Vaccination in World (updated daily)
DOI: 10.4121/1ba67d64-ddee-4925-8faa-f084c78a3419
title: Genome assembly and annotation files underlying the publication: The genome of Lupinus mutabilis: evolution and genetics of an emerging bio-based crop

description: The datasets include the high-quality genome assembly of the <em>Lupinus mutabilis</em> cv. 'Inti', as well as the annotation files of this genome. These include the GFF file of the assembly and the Fasta files of transcripts and proteins. Details on how the genome assembly and the annotation files were produced are included in the paper "The genome of <em>Lupinus mutabilis</em>: evolution and genetics of an emerging bio-based crop", by Pancaldi et al.
DOI: 10.4121/1ba67d64-ddee-4925-8faa-f084c78a3419.v1
title: Genome assembly and annotation files underlying the publication: The genome of Lupinus mutabilis: evolution and genetics of an emerging bio-based crop

description: The datasets include the high-quality genome assembly of the <em>Lupinus mutabilis</em> cv. 'Inti', as well as the annotation files of this genome. These include the GFF file of the assembly and the Fasta files of transcripts and proteins. Details on how the genome assembly and the annotation files were produced are included in the paper "The genome of <em>Lupinus mutabilis</em>: evolution and genetics of an emerging bio-based crop", by Pancaldi et al.
DOI: 10.60629/akz4-jg36
title: Data from paper In front of the retreating ice-sheet paper

description: This document contains some primary data on the faunal remains found at the Krosinko site.
DOI: 10.17632/pppj6cbtkc.1
title: BICI-ULL: Bioclimatic indicators dataset for the orographically complex Canary Islands archipelago

description: BICI−ULL (Bioclimatic Indicators in the Canary Islands by the ULL−GOTA) includes 53 biovariables derived from monthly temperature, precipitation, radiation, humidity, and wind speed averages over different periods calculated through dynamic regionalisation models. This project aims to improve our understanding of climate and its impacts on small, isolated regions with diverse ecosystems, providing valuable insights for the scientific community.

The dataset can be found in the ‘Bioclimatic indicators’ folder. It consists of 795 files in NetCDF4 format with a grid cell resolution of 3×3 km, covering the region of the Canary Islands. The files represent 53 bioclimatic indicators calculated in 30-year intervals for the periods: 1980−2009, 2030−2059, and 2070−2099, under the Representative Concentration Pathway (RCP) scenarios RCPs 4.5 and 8.5, for future. The non-hydrostatic WRF model, with boundary conditions from three global models (GFDL−ESM2M, IPSL−CM5A−MR, and MIROC−ESM), was used to perform the simulations. The grid dimensions are (186×77), with a total of 14322 cell points. It covers a longitude range of 18.3◦W to 13.3◦W and a latitude range of 27.5◦N to 29.6◦N, although the biovariables are only computed for land cells. The files comply with the CF conventions for climate and forecast metadata designed to promote the processing and exchange of files created with the netCDF4 Application Programmer Interface. The names associated with each file follow the format: BIOx_model_rcp_yini_yend.nc 

The raw data from which the biovariables are generated are also available in this repository, in the ‘Raw Data’ folder. These include the standard variables: Mean, maximum, and minimum temperature (TG, TX, TN), precipitation (PR), shortwave downwelling flux (SR), relative humidity (RH), and wind speed (WS). Each file contains 12 timesteps, one for each month (January, February, …). The content of the variables is the mean over the 30-year periods. A specific bias adjustment technique known as the Scaled Distribution Mapping (SDM) algorithm, designed to preserve trends, was used (Switanek et al., 2017). File names follow the format: model_yini_yend_rcp_variable.nc

x represents the number of the climatic indicator

model makes reference to the driving Global Circulation Model used for the regionalsation simulations. It can be GFDL, IPSL, or MIROC.

rcp indicates the forcing scenario, RCP 4.5 or RCP 8.5, or it will be defined as ‘HIST’ in the case of the historical period. 

yind and yend represent the years of the period, with ini identifying the first year of the period and end identifying the last year. 

variable refers to the standard variable, which can be TG, TX, TN, PR, SR, RH, WS

The main folders contain, in turn, subfolders corresponding to each driving global model, and to the respective period and scenario.

The definition of the 53 BICI-ULL bioindicators have been also summarised in the BICI-ULL_bioindicators_definitions.pdf file.
DOI: 10.18419/darus-2790/1557
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1558
title: submit.sh

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DOI: 10.18419/darus-2790/1559
title: setenv.sh

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DOI: 10.18419/darus-2790/1560
title: setenv.sh

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DOI: 10.18419/darus-2790/1561
title: submit.sh

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DOI: 10.18419/darus-2790/1562
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DOI: 10.18419/darus-2790/1563
title: setenv.sh

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DOI: 10.18419/darus-2790/1564
title: ctparam

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DOI: 10.18419/darus-2790/1568
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DOI: 10.18419/darus-2790/1570
title: submit.sh

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DOI: 10.18419/darus-2790/1572
title: submit.sh

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DOI: 10.18419/darus-2790/1573
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1577
title: ctparam

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DOI: 10.18419/darus-2790/1579
title: ctparam

description: :unav
DOI: 10.18419/darus-2790/1580
title: setenv.sh

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DOI: 10.18419/darus-2790/1583
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1586
title: ctparam

description: :unav
DOI: 10.18419/darus-2790/1587
title: ctparam

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DOI: 10.18419/darus-2790/1589
title: ctparam

description: :unav
DOI: 10.18419/darus-2790/1590
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1592
title: ctparam

description: :unav
DOI: 10.18419/darus-2790/1594
title: ctparam

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DOI: 10.18419/darus-2790/1595
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1598
title: setenv.sh

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DOI: 10.18419/darus-2790/1599
title: submit.sh

description: :unav
DOI: 10.18419/darus-2790/1601
title: ctparam

description: :unav
DOI: 10.18419/darus-2790/1602
title: submit.sh

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DOI: 10.18419/darus-2790/1603
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1605
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description: :unav
DOI: 10.18419/darus-2790/1607
title: ctparam

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DOI: 10.18419/darus-2790/1609
title: submit.sh

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DOI: 10.18419/darus-2790/1612
title: setenv.sh

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DOI: 10.18419/darus-2790/1613
title: setenv.sh

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DOI: 10.18419/darus-2790/1615
title: submit.sh

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DOI: 10.18419/darus-2790/1616
title: ctparam

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DOI: 10.18419/darus-2790/1617
title: submit.sh

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DOI: 10.18419/darus-2790/1618
title: ctparam

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DOI: 10.18419/darus-2790/1619
title: setenv.sh

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DOI: 10.18419/darus-2790/1620
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DOI: 10.18419/darus-2790/1621
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DOI: 10.18419/darus-2790/1622
title: setenv.sh

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DOI: 10.18419/darus-2790/1625
title: setenv.sh

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DOI: 10.18419/darus-2790/1626
title: submit.sh

description: :unav
DOI: 10.18419/darus-2790/1627
title: ctparam

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DOI: 10.18419/darus-2790/1628
title: ctparam

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DOI: 10.18419/darus-2790/1629
title: ctparam

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DOI: 10.18419/darus-2790/1630
title: ctparam

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DOI: 10.18419/darus-2790/1631
title: setenv.sh

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DOI: 10.18419/darus-2790/1632
title: submit.sh

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DOI: 10.18419/darus-2790/1634
title: setenv.sh

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DOI: 10.18419/darus-2790/1635
title: ctparam

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DOI: 10.18419/darus-2790/1637
title: submit.sh

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DOI: 10.18419/darus-2790/1640
title: setenv.sh

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DOI: 10.18419/darus-2790/1641
title: submit.sh

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DOI: 10.17909/mx4k-mv71
title: JWST MIRI/MRS Observations of Tau042021

description: We present JWST MIRI MRS observations of the edge-on protoplanetary disk around the young
sub-solar mass star Tau 042021, acquired as part of the Cycle 1 GO program "Mapping Inclined
Disk Astrochemical Signatures (MIDAS)." These data resolve the mid-IR spatial distributions of H2,
revealing X-shaped emission extending to 200 au above the disk midplane with a semi-opening angle
of 35 +/- 5 degrees. We do not velocity-resolve the gas in the spectral images, but the measured semi-opening
angle of the H2 is consistent with an MHD wind origin. A collimated, bipolar jet is seen in forbidden
emission lines from [Ne II], [Ne III], [Ni II], [Fe II], [Ar II], and [S III]. Extended H2O and CO emission
lines are also detected, reaching diameters between 90 and 190 au, respectively. Hot molecular
emission is not expected at such radii, and we interpret its extended spatial distribution as scattering
of inner disk molecular emission by dust grains in the outer disk surface. H I recombination lines,
characteristic of inner disk accretion shocks, are similarly extended, and are likely also scattered light
from the innermost star-disk interface. Finally, we detect extended PAH emission at 11.3 microns cospatial
with the scattered light continuum, making this the first low-mass T Tauri star around which
extended PAHs have been confirmed, to our knowledge. MIRI MRS line images of edge-on disks provide
an unprecedented window into the out
ow, accretion, and scattering processes within protoplanetary
disks, allowing us to constrain the disk lifetimes and accretion and mass loss mechanisms.
DOI: 10.18419/darus-2790/1642
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DOI: 10.18419/darus-2790/1643
title: ctparam

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DOI: 10.18419/darus-2790/1644
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DOI: 10.18419/darus-2790/1646
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DOI: 10.18419/darus-2790/1647
title: submit.sh

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DOI: 10.18419/darus-2790/1648
title: setenv.sh

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DOI: 10.18419/darus-2790/1649
title: setenv.sh

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DOI: 10.18419/darus-2790/1650
title: submit.sh

description: :unav
DOI: 10.18419/darus-2790/1651
title: advect.out

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DOI: 10.18419/darus-2790/1652
title: submit.sh

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DOI: 10.18419/darus-2790/1655
title: submit.sh

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DOI: 10.18419/darus-2790/1657
title: setenv.sh

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DOI: 10.18419/darus-2790/1658
title: ctparam

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DOI: 10.18419/darus-2790/1660
title: ctparam

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DOI: 10.18419/darus-2790/1662
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DOI: 10.18419/darus-2790/1663
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DOI: 10.18419/darus-2790/1664
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DOI: 10.18419/darus-2790/1666
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DOI: 10.18419/darus-2790/1668
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DOI: 10.18419/darus-2790/1669
title: submit.sh

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DOI: 10.18419/darus-2790/1673
title: setenv.sh

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DOI: 10.18419/darus-2790/1674
title: setenv.sh

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DOI: 10.18419/darus-2790/1677
title: submit.sh

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DOI: 10.18419/darus-2790/1679
title: ctparam

description: :unav
DOI: 10.18419/darus-2790/1684
title: setenv.sh

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DOI: 10.18419/darus-2790/1685
title: ctparam

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DOI: 10.18419/darus-2790/1688
title: ctparam

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DOI: 10.18419/darus-2790/1691
title: ctparam

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DOI: 10.18419/darus-2790/1693
title: submit.sh

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DOI: 10.18419/darus-2790/1694
title: ctparam

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DOI: 10.18419/darus-2790/1695
title: submit.sh

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DOI: 10.18419/darus-2790/1697
title: submit.sh

description: :unav
DOI: 10.18419/darus-2790/1699
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1700
title: setenv.sh

description: :unav
DOI: 10.23729/982a6ce3-6b1c-4510-9797-2904f43a1ea9
title: Black Mass Button 22

description: An epoxy button of black mass imaged in 2022, featured in Donnelly, L., Pirrie, D., Power, M., Corfe, I., Kuva, J., Lukkari, S., Lahaye, Y., Liu, X., Dehaine, Q., Jolis, E.M., Butcher, A., 2023. The Recycling of End-of-Life Lithium-Ion Batteries and the Phase Characterisation of Black Mass, Recycling 8(4). Preview dataset found at https://doi.org/10.23729/3551b373-ea36-4577-b9a7-b4a4bd50f883 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.18419/darus-2790/1701
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DOI: 10.18419/darus-2790/1705
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DOI: 10.18419/darus-2790/1706
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DOI: 10.18419/darus-2790/1707
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DOI: 10.18419/darus-2790/1710
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DOI: 10.18419/darus-2790/1711
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DOI: 10.18419/darus-2790/1714
title: ctparam

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DOI: 10.18419/darus-2790/1715
title: submit.sh

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DOI: 10.18419/darus-2790/1716
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DOI: 10.18419/darus-2790/1717
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DOI: 10.18419/darus-2790/1721
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DOI: 10.18419/darus-2790/1723
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DOI: 10.18419/darus-2790/1731
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DOI: 10.18419/darus-2790/1735
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DOI: 10.18419/darus-2790/1737
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DOI: 10.18419/darus-2790/1738
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DOI: 10.18419/darus-2790/1740
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DOI: 10.18419/darus-2790/1742
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DOI: 10.18419/darus-2790/1743
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DOI: 10.18419/darus-2790/1744
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DOI: 10.18419/darus-2790/1745
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DOI: 10.18419/darus-2790/1746
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DOI: 10.18419/darus-2790/1753
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DOI: 10.18419/darus-2790/1756
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DOI: 10.18419/darus-2790/1757
title: ctparam

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DOI: 10.18419/darus-2790/1760
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DOI: 10.18419/darus-2790/1761
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DOI: 10.18419/darus-2790/1763
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DOI: 10.18419/darus-2790/1765
title: ctparam

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DOI: 10.18419/darus-2790/1768
title: submit.sh

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DOI: 10.18419/darus-2790/1769
title: submit.sh

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DOI: 10.18419/darus-2790/1770
title: ctparam

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DOI: 10.18419/darus-2790/1773
title: submit.sh

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DOI: 10.18419/darus-2790/1774
title: ctparam

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DOI: 10.18419/darus-2790/1775
title: submit.sh

description: :unav
DOI: 10.18419/darus-2790/1776
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1779
title: setenv.sh

description: :unav
DOI: 10.18419/darus-2790/1781
title: setenv.sh

description: :unav
DOI: 10.4121/1fa1f4a8-701c-4d4e-b4ea-bce343589cf9
title: Supporting data for the publication: Evidence of secondary bedform controls on river dune migration

description: <em>The dataset contains supporting data for the publication </em>Evidence of secondary bedform controls on river dune migration <em>by Zomer, J.Y. and Hoitink, A.J.F. The objective of the study was to investigate the interaction between primary and secondary river dunes and their contribution to the total sediment transport flux. </em><em>The dataset includes river bed elevation data (acquired through multibeam echosounding) and bed grain size data based on river bed samples. </em><em>The data was acquired between 7 January 2022 and 25 February 2022 in the river Waal.</em>
DOI: 10.4121/1fa1f4a8-701c-4d4e-b4ea-bce343589cf9.v1
title: Supporting data for the publication: Evidence of secondary bedform controls on river dune migration

description: <em>The dataset contains supporting data for the publication </em>Evidence of secondary bedform controls on river dune migration <em>by Zomer, J.Y. and Hoitink, A.J.F. The objective of the study was to investigate the interaction between primary and secondary river dunes and their contribution to the total sediment transport flux. </em><em>The dataset includes river bed elevation data (acquired through multibeam echosounding) and bed grain size data based on river bed samples. </em><em>The data was acquired between 7 January 2022 and 25 February 2022 in the river Waal.</em>
DOI: 10.18419/darus-2790/1782
title: submit.sh

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DOI: 10.18419/darus-2790/1783
title: submit.sh

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DOI: 10.18419/darus-2790/1784
title: ctparam

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DOI: 10.18419/darus-2790/1785
title: ctparam

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DOI: 10.18419/darus-2790/1788
title: setenv.sh

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DOI: 10.18419/darus-2790/1790
title: submit.sh

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DOI: 10.18419/darus-2790/1793
title: submit.sh

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DOI: 10.18419/darus-2790/1796
title: ctparam

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DOI: 10.18419/darus-2790/1797
title: setenv.sh

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DOI: 10.18419/darus-2790/1799
title: setenv.sh

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DOI: 10.18419/darus-2790/1800
title: submit.sh

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DOI: 10.18419/darus-2790/1801
title: setenv.sh

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