cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17617/3.b1izs6
title: Cityscapes Parts

description: For 100 Cityscapes images, this dataset provides additional annotation of 40 subordinate concepts belonging to the original 19 classes.
This dataset requires the original Cityscapes dataset which can be found at: https://www.cityscapes-dataset.com
DOI: 10.17617/3.6rvsr5
title: deTEL singularity container and supplementary datasets 1-4

description: Singularity container of deTEL (deciphering Translation Error Landscape):
eTEL - empirical Translation Error Landscape (detecting amino acid misincorporations from mass spectrometry data), 
mTEL - mechanistic Translation Error Landscape (modeling tRNA misincorporation probabilities)
description: deTEL
DOI: 10.17617/3.79m9z6
title: Source data for "Towards glycan foldamers and programmable assemblies"

description: Source data for "Towards glycan foldamers and programmable assemblies"
DOI: 10.17617/3.omf3jw
title: Analytical improvements and assessment of long-term performance of the oxidation-denitrifier method

description: This dataset contains the schematics of the argon purging system and oxidation rack ("sandwich"), as well as the dataset used to monitor long term reproducibility of the oxidation-denitrifier method at the Max Planck Institute for Chemistry, Climate Geochemistry department.
DOI: 10.17617/3.pafgca
title: User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception

description: We encourage viewers to select the "Tree" view, rather than "Table" view, in order to see the files organized by their respective folders. The dataset includes the following: 1. A readme file explaining our user study and the data, 2. Raw acceleration data, 3. Raw robot data, 4. Questionnaire responses, 5. Consent form, 6. Robot motion videos. This project is within the EXC IntCDC Research Project 16.
DOI: 10.17617/3.rqjyuv
title: Transition of the Sun to a regime of high activity: Implications for the Earth climate and role of atmospheric chemistry
DOI: 10.17617/3.hpdvqm
title: Protection of a defensive symbiont does not constrain the multifunctional hydrocarbon profile of digger wasps
DOI: 10.17617/3.k2cy3m
title: Datasets and experimental results for "Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks"

description: &lt;p&gt;This dataset contains the training data and experimental results (i.e. trained models and results on the test set) for the research paper “Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks” by T. D. Gebhard et al. which has been accepted for publication in &lt;em&gt;Astronomy &amp; Astrophysics&lt;/em&gt;.&lt;/p&gt;

&lt;p&gt;The corresponding Python code is available at &lt;a href='https://github.com/timothygebhard/ml4ptp' target='_blank' class='url'&gt;https://github.com/timothygebhard/ml4ptp&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;Please note that all rights to the training datasets remain with the respective original authors:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;PyATMOS dataset:&lt;/strong&gt; A. Chopra et al. (2023). “PyATMOS: A Scalable Grid of Hypothetical Planetary Atmospheres.” &lt;a href='https://arxiv.org/abs/2308.10624'&gt;arXiv:2308.10624&lt;/a&gt; [Data available from the &lt;a href='https://exoplanetarchive.ipac.caltech.edu/docs/fdl_landing.html'&gt;Exoplanet Archive&lt;/a&gt;]&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Goyal-2020 dataset:&lt;/strong&gt; J. Goyal et al. (2020). “A library of self-consistent simulated exoplanet atmospheres.” MNRAS, 498 (4). &lt;a href='https://academic.oup.com/mnras/article/498/4/4680/5892109'&gt;DOI:10.1093/mnras/staa2300&lt;/a&gt; [Data available via &lt;a href='https://drive.google.com/drive/folders/1zCCe6HICuK2nLgnYJFal7W4lyunjU4JE'&gt;Google Drive&lt;/a&gt;]&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The authors have kindly given us permission to republish these datasets here in a format that can be easily loaded into a machine learning pipeline.&lt;/p&gt;
DOI: 10.17617/3.4oia9h
title: Cell free expression in proteinosomes prepared from native protein-PNIPAAm conjugates

description: Towards the goal of building synthetic cells from the bottom-up, the establishment of micrometer-sized compartments that contain and support cell free transcription and translation that couple cellular structure to function is of critical importance. Proteinosomes, formed from crosslinked cationized protein-polymer conjugates offer a promising solution to membrane-bound compartmentalisation with an open, semi-permeable membrane. Critically, to date, there have been no demonstration of cell free transcription and translation within water-in-water proteinosomes. Herein, we present a novel approach to the fabrication of proteinosomes directly from native protein-polymer (BSA-PNIPAAm) conjugates. We show that these native proteinosomes offer an excellent alternative as artificial cell chassis. Significantly, the native proteinosomes are stable under high salt conditions and can consequently support cell free transcription and translation. The native proteinosomes offer enhanced protein expression compared to proteinosomes prepared from traditional methodologies. Furthermore, we demonstrate the integration of proteinosomes into higher order cellular architectures with membrane free compartments and liposomes. The integration of bioinspired architectural elements with the central dogma is an essential building block for realizing minimal synthetic cells and is key for exploiting artificial cells in real-world applications.
DOI: 10.17617/3.zwvxdx
title: Drosophila species Antennal Lobe Atlases

description: Antennal Lobe Atlases for D. sechellia, D. simulans, D. mojavensis wrigley and D. suzukii female flies.
description: AMIRA
DOI: 10.21233/gtcv-dr15
title: Boscoreale pollen dataset

description: Raw data for the Boscoreale pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15180067
title: Longitudinal Dataset of Physiological, Biomechanical, and Strength Variables in Elite Female Race Walkers (2021–2024)

description: This dataset contains comprehensive annual data from 30 elite female race walkers collected during 2021–2024. The dataset includes anthropometric variables (e.g., body mass, height, fat mass), physiological indicators (e.g., VO₂max, heart rate, lactate threshold, oxygen pulse), and biomechanical measures (e.g., step length, walking speed), as well as neuromuscular performance parameters (e.g., 1RM, power output, RFD).

The dataset is structured across four Excel sheets representing consecutive years. Each sheet includes anonymized rows for each athlete and columns for the assessed variables. These data were used in the study: "Optimizing Race Walking Performance through Advanced Modeling and AI-based Training Analysis."

This resource supports time-series analysis, seasonality modeling, and development of machine learning algorithms in elite sport research.
DOI: 10.17617/3.u5hmge
title: Evolution at multiple processing levels underlies odor-guided behavior in the Drosophila genus

description: Raw Data sets of behavioral responses towards single odorants and mixed odorants (odor collection obtained from fruit and cactus samples), electro antennogram responses towards single odorants, antennal lobe glomerular volumes, calcium imaging responses, and correlations of calcium imaging responses, for Drosophila sechelia, Drosophila simulans, Drosophila suzukii, Drosophila mojavensis wrigleyi and Drosophila melanogaster.
DOI: 10.17617/3.mck0kk
title: Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"

description: This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the forthcoming paper "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"
description: python, 3.8
description: tensorflow-gpu, 2.10
description: delta2, 2.0.5
description: cuda, 11.8
DOI: 10.17617/3.7945xi
title: Simulated global ultrafine particle (UFP) concentrations

description: Numerical simulation of global ultrafine particle (UFP; particulate matter with diameter &lt; 0.1 um) concentrations with the ECHAM/MESSy Atmospheric Chemistry model (EMAC) for the year 2015. The simulations are available at two different horizontal resolutions: model resolution (1.875°x1.875°) and downscaled using emission databases as proxies (0.1°x0.1°). Additionally, the UFP concentrations at model resolution are size segregated (1.7-20 nm, 20-50 nm, 50-100 nm).
description: ECHAM/MESSy Atmospheric Chemistry, MESSy 2.55.2 (#49a7a54)
DOI: 10.17617/3.hb2gji
title: Data for "An Open Source, Heterogeneous, Nonlinear Optics Simulation"

description: This dataset contains the simulation inputs and outputs for the manuscript "An Open Source, Heterogeneous, Nonlinear Optics Simulation" in Optics Continuum
description: Lightwave Explorer, 2023.09.01
DOI: 10.17617/3.trebzr
title: Analysis scripts and raw data for Cookiewall measurements

description: This collection contains analysis scripts and raw data to reproduce our analysis for the web cookie measurements to investigate cookiewalls in the wild. The results are published in the paper "Thou Shalt Not Reject: Analyzing Accept-Or-Pay Cookie Banners on the Web" published at the "ACM Internet Measurement Conference 2023" (IMC 2023). More information and updates can be found on the project's website: https://bannerclick.github.io/
DOI: 10.5281/zenodo.15170014
title: Longitudinal Dataset of Physiological, Biomechanical, and Strength Variables in Elite Female Race Walkers (2021–2024)

description: This dataset contains comprehensive annual data from 30 elite female race walkers collected during 2021–2024. The dataset includes anthropometric variables (e.g., body mass, height, fat mass), physiological indicators (e.g., VO₂max, heart rate, lactate threshold, oxygen pulse), and biomechanical measures (e.g., step length, walking speed), as well as neuromuscular performance parameters (e.g., 1RM, power output, RFD).

The dataset is structured across four Excel sheets representing consecutive years. Each sheet includes anonymized rows for each athlete and columns for the assessed variables. These data were used in the study: "Optimizing Race Walking Performance through Advanced Modeling and AI-based Training Analysis."

This resource supports time-series analysis, seasonality modeling, and development of machine learning algorithms in elite sport research.
DOI: 10.5281/zenodo.15170015
title: Longitudinal Dataset of Physiological, Biomechanical, and Strength Variables in Elite Female Race Walkers (2021–2024)

description: This dataset contains comprehensive annual data from 30 elite female race walkers collected during 2021–2024. The dataset includes anthropometric variables (e.g., body mass, height, fat mass), physiological indicators (e.g., VO₂max, heart rate, lactate threshold, oxygen pulse), and biomechanical measures (e.g., step length, walking speed), as well as neuromuscular performance parameters (e.g., 1RM, power output, RFD).

The dataset is structured across four Excel sheets representing consecutive years. Each sheet includes anonymized rows for each athlete and columns for the assessed variables. These data were used in the study: "Optimizing Race Walking Performance through Advanced Modeling and AI-based Training Analysis."

This resource supports time-series analysis, seasonality modeling, and development of machine learning algorithms in elite sport research.
DOI: 10.17617/3.jqiwlu
title: Data for "Spatiotemporal electric-field characterization of synthesized light transients"

description: The versatile manipulation of electron motion on the atomic scale calls for the shaping of the electric field evolution of light within a single cycle. The super-octave bandwidth required for this task dramatically increases the probability of formation of spatio-temporal distortions. Therefore, the accuracy of physical observables can be extremely compromised by the spatial averaging unless complete spatio-temporal field information is known. Here, we apply electro-optic sampling to record three-dimensional electric-field structure of a sub-cycle synthesized light transient carrying wavelengths from 700 nm to 2700 nm. We show an in-depth picture of the field synthesis process disclosing how temporal, spectral, and global-phase properties of the synthesized pulse vary across space including the propagation direction around the focal point where the transient is generated.
DOI: 10.17617/3.hy5syn
title: A Real-World Metal-Layer SEM Image Dataset with Partial Labels

description: &lt;p&gt;
This dataset contains scanning electron microscope (SEM) images and labels from our paper "Towards Unsupervised SEM Image Segmentation for IC Layout Extraction", which are licensed under a Creative Commons Attribution 4.0 International License (CC-BY 4.0).
&lt;/p&gt;&lt;p&gt;
The SEM images cover the logic area of the metal-1 (M1) and metal-2 (M2) layers of a commercial IC produced on a 128 nm technology node. We used an electron energy of 15 keV with a backscattered electron detector and a dwell time of 3 μs for SEM capture. The images are 4096×3536 pixels in size, with a resolution of 14.65 nm per pixel and 10% overlap. We discarded images on the logic area boundaries and publish the remaining ones in random order.
&lt;/p&gt;&lt;p&gt;
We additionally provide labels for tracks and vias on the M2 layer, which are included as &lt;code&gt;.svg&lt;/code&gt; files. For labeling, we employed automatic techniques, such as thresholding, edge detection, and size, position, and complexity filtering, before manually validating and correcting the generated labels. The labels may contain duplicates for detected vias. Tracks spanning multiple images may not be present in the label file of each image.
&lt;/p&gt;&lt;p&gt;
The implementation of our approach, as well as accompanying evaluation and utility routines can be found in the following GitHub repository: &lt;a href="https://github.com/emsec/unsupervised-ic-sem-segmentation" target="_blank"&gt;https://github.com/emsec/unsupervised-ic-sem-segmentation&lt;/a&gt;
&lt;/p&gt;&lt;p&gt;
Please make sure to always cite &lt;a href="https://doi.org/10.1145/3605769.3624000" target="_blank"&gt;our study&lt;/a&gt; when using any part of our data set or code for your own research publications!
&lt;/p&gt;&lt;p&gt;&lt;blockquote&gt;&lt;pre&gt;
@inproceedings {2023rothaug,
 author = {Rothaug, Nils and Klix, Simon and Auth, Nicole and B\"ocker, Sinan and Puschner, Endres and Becker, Steffen and Paar, Christof},
 title = {Towards Unsupervised SEM Image Segmentation for IC Layout Extraction},
 booktitle = {Proceedings of the 2023 Workshop on Attacks and Solutions in Hardware Security},
 series = {ASHES'23},
 year = {2023},
 month = {november},
 keywords = {ic-layout-extraction;sem-image-segmentation;unsupervised-deep-learning;open-source-dataset},
 url = {https://doi.org/10.1145/3605769.3624000},
 doi = {10.1145/3605769.3624000},
 isbn = {9798400702624},
 publisher = {Association for Computing Machinery},
 address = {New York, NY, USA}
}
&lt;/pre&gt;&lt;/blockquote&gt;&lt;/p&gt;
DOI: 10.17617/3.cvrrwv
title: Potency of dls fluid in predators

description: Data repository for:
"Cardenolides in the defensive fluid of adult large milkweed bugs have differential potency on vertebrate and invertebrate predator Na+/K+¬–ATPases"

Rubiano-Buitrago, P.1,2*, Pradhan, S. 1, Aceves, A. A. 1, Mohammadi, S. 1, 3, Paetz, C. 2; Rowland, H.M. 1*
1 Research Group Predators and Toxic prey, Max Planck Institute for Chemical Ecology, Jena, Germany
2 Research Group Biosynthesis/NMR, Max Planck Institute for Chemical Ecology, Jena, Germany
3 Molecular Evolutionary Biology, Zoological Institute, Universität Hamburg, Hamburg, Germany
(PRB) pbuitrago@ice.mpg.de; (HMR) hrowland@ice.mpg.de
DOI: 10.17617/3.hg0ghf
title: Data on manuscript 'Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing'

description: This collection contains data for the paper "Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing" (Pöhlker et al., 2023, doi:10.1038/s41467-023-41695-8 ). When using the data, please refer to the paper mentioned above. If further data are needed, please contact the corresponding author. The files contain the data shown in the figures of the aforementioned study.
DOI: 10.17617/3.iholtn
title: Data for Dynamical Onset of Light-Induced Unconventional Superconductivity -- a Yukawa-Sachdev-Ye-Kitaev study

description: Data used for the production of plots in https://doi.org/10.48550/arXiv.2307.09935 . The raw data, resulting out of simulations of Kadanoff Baym equations, is already fully post processed with methods described in the paper and L. Grunwald's master thesis.

Folder Figure2 contains data for quenches across the phase transition. Folders Figure3 and Figure4 contain data for the undercooled quenches.
description: Julia
DOI: 10.17617/3.mlnqj4
title: Semicontinuous phytoplankton flowcytometry from the Norwegian Sea into the equatorial upwelling.

description: Underway data along a roughly meridional transect and vertical profiles at 8 stations in the North Atlantic ocean consisting of flowcytometry-derived counts of pico- and nano-phytoplankton, temperature, salinity, chlorophyll-a fluorescense, nitrate and phosphate.
DOI: 10.6084/m9.figshare.28956448.v1
title: Unveiling ten novel SETX mutations: implications for ALS pathogenesis and clinical diversity

description: To investigate the relationship between newly identified senataxin (<i>SETX)</i> gene mutations and the clinical manifestation of Amyotrophic Lateral Sclerosis (ALS), enhancing understanding of the genetic underpinnings associated with this disorder. A cohort study was conducted at Nanfang Hospital, involving comprehensive genetic sequencing of ALS patients to identify novel <i>SETX</i> mutations. Homology modelling and structural analysis were employed to predict the functional impacts of these mutations on the senataxin protein. Clinical assessments, including symptom evaluation, age of onset, and progression rate, were integrated with electrophysiological studies to establish correlations between genetic variants and clinical outcomes. Ten novel <i>SETX</i> mutations were identified, expanding the genetic landscape of ALS. These mutations exhibited diverse impacts on clinical presentations, with patients showing variability in onset age, symptom severity, and progression rates. Computational modelling suggested that certain mutations cause significant structural changes in senataxin, potentially affecting its RNA/DNA helicase function. Electrophysiological findings consistently revealed nerve conduction abnormalities, indicating that these mutations may influence neuronal excitability and contribute to ALS pathogenesis. The discovery of novel <i>SETX</i> mutations provides valuable insights into the genetic and clinical complexity of ALS. This study underscores the importance of genetic screening for <i>SETX</i> mutations and suggests potential personalised therapeutic approaches targeting senataxin dysfunction. By elucidating genotype-phenotype correlations, these findings contribute to the broader understanding of ALS and offer pathways for developing targeted interventions to address the challenges posed by this disabling disease.
DOI: 10.17617/3.yiqggb
title: MINSTED tracking of single biomolecules

description: We show that MINSTED localization, a method whereby the position of a fluorophore is identified with precisely controlled beams of a STED microscope, tracks fluorophores and hence labeled biomolecules with nanometer/millisecond spatio-temporal precision. By updating the position for each detected photon, MINSTED recognizes fluorophore steps of 16 nm within &lt; 250 microseconds using about 13 photons. The power of MINSTED tracking is demonstrated by quantifying side-steps of the motor protein kinesin-1 walking on microtubules and switching protofilaments.
description: MATLAB, R2021B
DOI: 10.17617/3.hqoq7i
title: Determining the true planetary masses of the close-by non-transiting system GJ1061

description: Poster presented at the Conference: "Towards Other Earths III: The Planet-Star connection"
17-21 July 2023, Porto, Portugal

http://www.iastro.pt/research/conferences/toe3-2023/
DOI: 10.17617/3.zgtmm0
title: Electric Control of Spin Transitions at the Atomic Scale

description: The data set contains raw and processed data from electron spin resonance spectra measured with scanning tunneling microscopy to demonstrate electric control of spin transitions at the atomic scale.
description: Matlab, R2020a
DOI: 10.21233/n3cz-eh27
title: Minden Bog testate amoebae surface sample dataset

description: Raw data for the Minden Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17617/3.d5ft5y
title: Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag

description: Supplementary material for the "Vision for Unified Micromagnetic Modeling (UMM) with Ubermag" paper containing the source code and software requirements.
description: Ubermag
description: OOMMF, 2.0b0
description: mumax3, 3.10
DOI: 10.6084/m9.figshare.28956448
title: Unveiling ten novel SETX mutations: implications for ALS pathogenesis and clinical diversity

description: To investigate the relationship between newly identified senataxin (<i>SETX)</i> gene mutations and the clinical manifestation of Amyotrophic Lateral Sclerosis (ALS), enhancing understanding of the genetic underpinnings associated with this disorder. A cohort study was conducted at Nanfang Hospital, involving comprehensive genetic sequencing of ALS patients to identify novel <i>SETX</i> mutations. Homology modelling and structural analysis were employed to predict the functional impacts of these mutations on the senataxin protein. Clinical assessments, including symptom evaluation, age of onset, and progression rate, were integrated with electrophysiological studies to establish correlations between genetic variants and clinical outcomes. Ten novel <i>SETX</i> mutations were identified, expanding the genetic landscape of ALS. These mutations exhibited diverse impacts on clinical presentations, with patients showing variability in onset age, symptom severity, and progression rates. Computational modelling suggested that certain mutations cause significant structural changes in senataxin, potentially affecting its RNA/DNA helicase function. Electrophysiological findings consistently revealed nerve conduction abnormalities, indicating that these mutations may influence neuronal excitability and contribute to ALS pathogenesis. The discovery of novel <i>SETX</i> mutations provides valuable insights into the genetic and clinical complexity of ALS. This study underscores the importance of genetic screening for <i>SETX</i> mutations and suggests potential personalised therapeutic approaches targeting senataxin dysfunction. By elucidating genotype-phenotype correlations, these findings contribute to the broader understanding of ALS and offer pathways for developing targeted interventions to address the challenges posed by this disabling disease.
DOI: 10.17617/3.o1rhx5
title: Experimental and computational data from MoS-ion deposition on graphene

description: XYZ structures and trajectories for MoS-ions and molecules modeling, as well as the molecular dynamics at the level of Density Functional Theory.
description: VASP, 5.4.4
description: ORCA, 5.0.3