reapxdev/zenodo-scraper huggingface dataset:
The origins of power spectral complexity in red-giant oscillations
Authors: Choi, Jeong Yun, Espinoza-Rojas, Francisca, Hekker, Saskia
Type: Presentation
Published: 2026-07-31

<p>Solar-like oscillations in red giants have characteristic patterns in their power density spectra (PDS) that enable the precise determination of stellar masses, radii, and evolutionary stages. However, a non-negligible fraction of red giants show complex PDS that challenge reliable asteroseismic parameter determination. Internal processes such as magnetic fields and structural discontinuities, dynamical effects including rapid rotation and mode degeneracy, as well as contamination from binary companions, can produce a wide diversity of complexities in the PDS morphology. Yet, no study has systematically investigated these origins across the <em>Kepler</em> red giants. We classify red giants with complex PDS using a two-dimensional diagnostic. This combines Shannon entropy, which quantifies the complexity of the power distribution in the PDS, with<br>permutation entropy, which captures the sequential ordinal structure of the PDS. We find that several hundred <em>Kepler</em> red giants show noticeably complex PDS. Among them, we identify seismically unresolved asteroseismic binary candidates whose overlapping oscillations bias the inferred masses and radii by factors of up to ~3 and ~2 relative to those of the individual stars. Core properties such as period spacings and coupling factors also become unreliable, with the coupling factor overestimated by up to a factor of four. These biases can explain inconsistencies across independent analyses of red giants, such as red clump stars with anomalously low masses. Our results provide a framework for identifying and accounting for PDS complexity in asteroseismic analysis.</p>
Intimitet og skala i Joanna Rubin Drangers Ihågkom oss till liv og Dolda judiska liv
Authors: Allouche, Lea
Type: Presentation
Published: 2026-07-21

<p>Presentation presented at the workshop "Situated Narratives. Textual Techniques, Aesthetic Strategies, Knowledge Practices" at University of Zürich from the 23rd to the 25th of April 2026.</p>
<p> </p>
RAI Platform: Reliable AI in Biomedicine
Authors: Leclerc, Justine, Seiler, Christof
Type: Presentation
Published: 2025-10-23

<p>Pitch presentation at Open Innovation in Life Sciences (OILS) conference, held at the University of Zurich on the 23rd of October 2025. Theme was "The Future is Open: Innovating at the Nexus of Academia and Industry”.</p>
<p>Winner of the Audience Award for Best Pitch Presentation.</p>
Strain-Based Finite-Time Lyapunov Exponents for Calcification Risk Classification in Bioprosthetic and Elastomeric Aortic Valves
Authors: Corso, Pascal, Coulter, Fergal
Type: Presentation
Published: 2026-07-20

<p class="font-claude-response-body break-words whitespace-normal">Calcification limits the durability of both bioprosthetic and synthetic elastomeric prosthetic aortic valves, although no descriptor of systolic leaflet deformation had been compared across these material families under identical, patient-specific haemodynamics, nor tied to where minerals deposit. This study sets out to close that gap, namely to establish whether leaflet material and geometry set distinct flutter regimes, whether a strain-based descriptor can stratify the leaflet surface into calcification-prone zones and whether the resulting clusters track mineral deposits. To do so, high-fidelity fluid-structure interaction simulations in a patient-specific curved aorta couple a direct numerical simulation fluid solver to a Galerkin finite element structural solver through variational transfer, spanning two leaflet geometries (D1, D2) and three materials, an isotropic elastomer (ELA) alongside anisotropic bovine pericardium (BOV) and porcine tissue (PORC), for six configurations. Leaflet motion is captured through the incremental Finite-Time Lyapunov Exponent (FTLE), computed from successive deformation gradients. Combined with its spatial gradient, it feeds an unsupervised k-means clustering that ranks calcification risk. Flutter regimes turn out to vary sharply, from none in D2-BOV to 330 Hz in D1-BOV. Porcine tissue sustains the fastest, most localised material-point separation, bovine pericardium swings from fourth to first depending on leaflet scallop shape and the elastomer cases spread strain more evenly. Validated against micro-CT maps from 14 explanted bovine leaflets, the FTLE-based clusters reach a Spearman correlation of 0.79, rising past 0.86 once wall shear stress is included. The main finding is that leaflet material and geometry cannot be optimised in isolation, only jointly.</p>
CoARA Boost CF2 - THRIVE - Project Presentation_Directorate
Authors: Institute for Research in Biomedicine, Rovira Montsant, Maria, Labrid Borrego, Maribel, Grau Gibert, Ivet
Type: Presentation
Published: 2026-07-31

<p class="MsoNormal"><span>Presentation prepared for the IRB Barcelona Directorate summarising the project's progress, achievements and next steps.</span></p>
Stylistic Corridors: How Generative AI Narrows Expressive Freedom In Fanfiction
Authors: Barcelos, Marc
Type: Presentation
Published: 2026-08-03
Keywords: Fanfiction, Stylometrics, Exploratory Factor Analysis

<p>This presentation explores the results of a pilot study in which style in fanfiction was assessed using a battery of stylometrics in conjunction with an exploritory factor analysis in order to identify key stylistic dimensions common in fanfiction. Then, these scores were compared to AI continuations of these fanfictions in order to determine the ways in which large language models collapse style in the context of fanfiction. Findings suggest that human and AI writing is reliably separated across all stylistic dimensions identified, this gap is directional and dimension specific, AI writing tends to be more generic, and that these gaps are shaped by the rating of the work.</p>
Canon Shelf: A Repository of Machine-Readable Canon Lists
Authors: Fischer, Frank, Poggel, Lisa, Lau, Ashley
Type: Presentation
Published: 2026-06-18
Keywords: Digital Humanities, Canon Studies

<p>Literary canons, lists of works deemed essential, the best of the best, are continually proclaimed by newspapers, magazines, and cultural institutions worldwide. While digital humanities research increasingly draws on platforms like Wikipedia, Wikidata, and Goodreads to measure canonicity, there is no standardised infrastructure for systematically collecting and comparing the canon lists themselves. We introduce Canon Shelf, an open repository that gathers literary canon lists from different eras, regions, and cultural contexts in a uniform, machine-readable format. By standardising the digitisation of canon lists, Canon Shelf lowers the barrier for comparative canon research. Scholars can query which works recur across canons, trace regional or temporal patterns in canon formation, and prepare lists for further enrichment with reception metrics, geodata, or gender information. A complementary tool, Canon Curator, provides a modular enrichment pipeline that automatically augments Canon Shelf lists with popularity metrics from Wikipedia and Goodreads, geographic and gender metadata, and detailed provenance information to ensure interpretability. The Canon Shelf repository is designed to be extended through community contributions.</p>
TeachBooks workshop at Griffith University
Authors: van Woudenberg, Tom
Type: Presentation
Published: 2026-08-04

<p>On August 4th, Tom van Woudenberg will host a TeachBooks workshop a Griffith University in Gold Coast, Australia.</p>
<p>Are you interested in creating your online teaching material in the form of an online TeachBook? Have you seen other online educational resources and are ready to dive deeper? This hands-on workshop will guide you through the process of creating and using online materials in your teaching. The TeachBooks team has helped dozens of teachers create their own online books, even those without prior programming experience!</p>
<p>Tom van Woudenberg uses TeachBooks in most of his courses at Delft University of Technology, examples include:</p>
<ul class="wp-block-list">
<li><a title="" href="https://mude.citg.tudelft.nl/book/2025/intro.html" rel="noopener">MUDE Textbook</a>: Modelling, Uncertainty, and Data for Engineers, taken by all first year students in the MSc degree programs Earth Climate and Technology (EC&T), Environmental Engineering (EE) and Civil Engineering (CE).</li>
<li><a title="" href="https://oit.tudelft.nl/CTB2210/2025/intro.html" rel="noopener">BSc course on statically indeterminate structures</a></li>
<li><a title="" href="https://oit.tudelft.nl/CIEM5000/2026/intro.html" rel="noopener">MSc course on the matrix method for statics</a></li>
<li><a title="" href="https://oit.tudelft.nl/Macaulays-method/intro.html" rel="noopener">Student research project on Macaulay’s method</a></li>
</ul>
<p><strong>What you will learn:</strong></p>
<ul class="wp-block-list">
<li>How are TeachBooks used in teaching statics, mechanics of materials and computational mechanics at Delft University of Technology</li>
<li>The benefits of open materials in teaching and collaborative development using git</li>
<li>Practical TeachBooks tools and workflow for collaboratively creating your online teaching materials</li>
<li>Tips for integrating interactive learning materials effectively into your teaching</li>
<li>How a support service is being set up at TU Delft for these online materials</li>
</ul>
<p><strong>(tentative) Programme</strong></p>
<ul class="wp-block-list">
<li>14:00 Demonstration use of TeachBooks at TU Delft</li>
<li>15:00 Hands-on workshop: create your own TeachBook</li>
<li>16:00 Drink and snacks!</li>
</ul>
<p>If you would like to learn more, visit teachbooks.io. A laptop is recommended for this session, but you are welcome to participate as an observer. Special software is not required (except a web browser); creating a GitHub account in advance will save you some time during the workshop.</p>
THE HEEGNER RESOLUTION: Proof of Riemann Hypothesis
Authors: Aksman, Michael
Type: Presentation
Published: 2026-08-02

<p>This manuscript presents proof of the Riemann Hypothesis.<br>It proves the Riemann Hypothesis by formally closing the equi-coercivity gap through an explicit Euler–Maclaurin derivation of the Casimir topological tension profile VCasimir(y) ≥ 1/12, finalizing the Mosco convergence to the strictly self-adjoint Hilbert–Polya operator ´ Hζ .<br>All analytical gaps are now mathematically closed.</p>
Evaluación de EPEyR, costos variables y curva de costos TV2 R500 CT San Nicolás Junio, 2019-2023
Authors: Nuñez, Mauricio
Type: Presentation
Published: 2026-08-02

<p>Este trabajo evalúa el desempeño técnico y económico de la unidad TV2 R500 de la Central Térmica San Nicolás mediante la aplicación de los Procedimientos Técnicos PR-17, PR-31 y PR-34 del COES. Se determinan la potencia efectiva, el rendimiento térmico, el consumo específico de combustible, los costos variables de combustible y mantenimiento, así como la curva de costos para los años 2019 y 2023. El análisis se desarrolla a partir de información oficial del COES y de los ensayos de Potencia Efectiva y Rendimiento (EPEyR), permitiendo comparar la evolución del comportamiento operativo y económico de la central. Los resultados muestran una mayor estabilidad en la estructura de costos y en el costo marginal durante 2023, aunque con un incremento en los costos variables asociado principalmente al aumento del precio del combustible. El estudio constituye una aplicación práctica de la regulación técnica del SEIN para la evaluación del desempeño de unidades de generación termoeléctrica.</p>
Photos from European Bioconductor Conference 2026
Authors: Borman, Tuomas, EuroBioC2026 organizing committee
Type: Photo
Published: 2026-06-24
Keywords: European, Bioconductor, EuroBioC, Conference, EuroBioC2026

<p>Photos taken during European Bioconductor Conference 2026 (EuroBioC2026). The event was orgaized in Turku, Finland, in the first week of June 2026.<br><br>Photos are shared in accordance with GDPR. Permission to use event photos was requested during registration.<br><br></p>
Microscopy images and raw flow cytometry fcs files for "A comparison among tools and analytical approaches for estimating mixotrophs and mixotrophy in the field"
Authors: Cook, Claire
Type: Photo
Published: 2026-07-30

<p>Microscopy images and fcs files for the paper "A comparison among tools and analytical approaches for estimating mixotrophs and mixotrophy in the field".<br><br></p>
<p>Images are arranged in folders based on station. Those that do not have another qualifier besides station are bead prey from surface samples. DTAF prey, E. coli prey, and those taken from the DCM instead of the surface are identified as such. Station01_again and Station04_again correspond to Stn01.2 and Stn04.2, as these stations were visited twice during the transect. </p>
<p>Within each station folder are folders for each slide taken. The identifiers are the slide number (used for internal quality control), the station, the depth at which the slide was taken, the prey, the replicate, and finally the timepoint. For example, 178Stn1SURBeadAT0 was slide number 178 from Station 1, taken at the surface with bead prey. It is biological replicate A taken during the T0 timepoint. Within these slide folders are photos labeled 1 through 15. Each number is an image taken. These images are available in RGB, TRITC, and FITC as well as in an nd2 format.</p>
<p>Fcs files are used in the github scripts for creating example cytograms. See the github for more information: https://github.com/CohenLabUGA/AzoresFLP</p>
Supplementary Information for "An Agricultural Complement to Ancient Northern Central Asian Pastoralism on the Steppe: A regional analysis of ceramic impressions"
Authors: Endo, Eiko, Shoda, Shinya
Type: Photo
Published: 2026-07-29

<p>This is the supplementary Information for the article titled"An Agricultural Complement to Ancient Northern Central Asian Pastoralism on the Steppe: A regional analysis of ceramic impressions"</p>
BVI-CLEAR: Atmospheric Turbulence Datasets
Authors: Anantrasirichai, Nantheera, Bull, David
Type: Photo
Published: 2026-07-25

<p>BVI-CLEAR is a set of datasets for research on removing atmospheric turbulence distortion from images and videos. BVI-CLEAR contains two types of atmospheric turbulence sequences:</p>
<p>i) synthetic sequences (gas hobs) and</p>
<p>ii) real sequences.</p>
<p>All sequences are extracted to frames in png format.</p>
<p>Eight synthetic sequences contain objects distorted by turbulence using 8 gas hobs. All sequences were acquired with a Canon EOS-1D Mark IV camera with 105mm lens. The distance between the nearest gas hob and the camera was 1m, while the objects were 3.5m away from the camera. The space between each gas hob was 30cm. The flow of gas created temperature gradients leading to distortions in the scene. We captured 8 sequences containing different objects, including faces, common objects, and text. The distortions in each video were varied by altering the gas flow to produce three classes referred to as low, medium, and high distortion with 100 frames each.</p>
<p>The real dataset has three atmospheric turbulence sequences, i.e. mirage, monument and moving car. These real datasets have been captured without ground truth, using a Canon EOS-1D Mark IV camera with 400 mm lens at a temperature of 46 °C in dry desert conditions. We also provide the result of restoration using our CLEAR method (https://github.com/pui-nantheera/atmospheric-turbulence-removal) [1].</p>
<p>If this content has been mentioned in a research publication, please give credit to the University of Bristol, by referencing the following paper:</p>
<p>[1]  Anantrasirichai, N.; Achim, A.; Kingsbury, N.G.; Bull, D.R., "<a href="https://ieeexplore.ieee.org/abstract/document/6471221">Atmospheric Turbulence Mitigation Using Complex Wavelet-Based Fusion</a>," Image Processing, IEEE Transactions on , vol.22, no.6, pp.2398-2408, June 2013</p>
<p>All sequences are captured by the authors (University of Bristol).</p>
<p>These sequences and all intellectual property rights therein remain the property of the original source owners including the University of Bristol. These sequences may only be used for research purpose. University of Bristol makes no warranties with respect to the sequences and expressly disclaims any warranties regarding their fitness for any purpose. </p>
Individual identification image catalog of gray wolves (Canis lupus) in the Golan Heights, Israel
Authors: Preiss-Bloom, Shlomo
Type: Photo
Published: 2026-07-21
Keywords: gray wolf, canis lupus, golan heights, individual identification

<p class="PDq2pG_selectionAnchorContainer">This repository contains the public image catalog and metadata associated with the individual identification of gray wolves (<em>Canis lupus</em>) in the Golan Heights, Israel. The dataset supports the manuscript “Individual identification of gray wolves from camera-trap images using structured pelage variation” and includes still camera-trap images of individually identified wolves, a nine-region pelage trait-code dictionary, individual-level metadata, and supporting files for an online dashboard.</p>
<p>Individual wolves were identified using a structured pelage classification framework based on nine diagnostic facial and body regions. Each wolf was assigned a nine-digit morphological identifier corresponding to trait states recorded across these regions. The public version of the repository includes generalized spatial information only. Exact camera locations, sensitive site-level information, and management-sensitive spatial details are withheld to protect wildlife and conservation interests.</p>
<p>The repository is intended to support reproducibility, enable comparison with future wolf image datasets, and provide structured training material for future automated individual-recognition models.</p>
Deep learning enables automated species identification of ground beetles (Carabidae) for biodiversity monitoring
Authors: Zahiri, Reza, Husemann, Martin, von Reumont, Björn M.
Type: Photo
Published: 2026-07-20
Keywords: Biodiversity monitoring, Insect taxonomy

<p><span>Fast and reliable identification of insect specimens is essential for accurate long-term biodiversity monitoring. However, traditional morphological identification is time-consuming, labour-intensive, and dependent on taxonomic expertise. Machine learning (ML)-based image recognition has the potential to greatly improve the efficiency and reproducibility of species identification once trained with expert-validated datasets. Deep learning (DL), a subset of ML, has emerged as a powerful approach for automated species identification. Here, we present a workflow for automated insect identification using computer vision (CV) and DL, encompassing image acquisition, preprocessing, segmentation, detection, and classification. Using ground beetles (Coleoptera: Carabidae) as a model group, we evaluated four DL architectures: the convolutional neural networks YOLOv8 and ConvNeXt XLarge, and the vision transformers BEiTV2 and EVA02. The dataset comprised 19 species representing approximately 90% of the total ground beetle abundance (156,000 of 173,000 specimens) collected from arable lands in Baden-Württemberg, Germany, between 2019 and 2022. Activation map analyses showed that several models initially relied on background features rather than specimen morphology, introducing classification bias. After fine-grained specimen segmentation and image standardization, retrained models focused on biologically relevant morphological features and achieved improved performance. YOLOv8n and BEiTV2 performed best, reaching classification accuracies of up to 99% across the 19 target species. This high accuracy likely reflects the combination of standardized imaging conditions, a moderate number of target classes, and a well-curated dataset. Our results demonstrate that CV and DL provide a fast, accurate, and reproducible approach for automated insect identification. AI-assisted image classification is particularly well suited for abundant and easily recognized taxa, enabling taxonomic expertise and molecular methods such as DNA barcoding to be prioritized for rare, cryptic, or taxonomically challenging species. We anticipate that CV-based identification will become an increasingly important component of biodiversity monitoring, museum curation, and taxonomic research.</span></p>
Mitochondrial imaging dataset for Acomys, Mus , Rattus and Oryctolagus ear pinna fibroblasts
Authors: Aryee, Ebenezer, Donahue, Renee, ALOYSIUS, AJOY, Seifert, Ashley
Type: Photo
Published: 2026-07-17

<p>This dataset incoudes images of cultured ear pinna fibroblasts from Acomys, Mus, Rattus and Oryctolagus. There are 5 types of imaging modalities carried out with a focus of classifying mitochondrial size, shape, network morphology and approximate function.</p>
<p>1) <strong>Mitotracker red CMXros Staining (Imaging of fixed cells)</strong></p>
<p>-<em>40X fluorescent images of MTR-stained, cultured P2 primary ear pinna fibroblasts from Acomys, Mus, Rattus and Oryctolagus taken using a IX83 microscope (Olympus, Tokyo, Japan) with a DP80color camera on cellSens software (cellSens v1.12, Olympus Corporation. DAPI  was used as a counterstain. Acomys and Mus fibroblasts obtained across different age brackets: fetal, adult and old animals were also stained and imaged at 40X.</em></p>
<p><strong>2) Mitotracker red CMXros Staining (Live imaging)</strong></p>
<p><em>-Images of 3D stacks of primary ear pinna fibroblasts stained with Mitotracker Red CmxROS and imaged live with a Nikon CSU-W1 SoRa Confocal Microscope. These were cultured cells from spiny mice (Acomys), mice (Mus), rats (Rattus) and rabbits (Oryctolagus). Images were taken at a magnification of at 60x and 4 x 60X(SoRa), to assess mitochondrial shape, size and network formation. No counterstain was used.</em></p>
<p><em>-Videos of 3D renderings of primary ear pinna fibroblasts stained with Mitotracker Red CmxROS and imaged live with a Nikon CSU-W1 SoRa Confocal Microscope. These were cultured cells from spiny mice (Acomys), mice (Mus), rats (Rattus) and rabbits (Oryctolagus). Images were taken at a magnification of 4 x 60X, to assess mitochondrial shape, size and network formation. No counterstain was used.</em></p>
<p>3) <strong>Mitotracker green Staining (Live imaging)</strong></p>
<p>-<em>20X fluorescent images of MG-stained, cultured P2 primary ear pinna fibroblasts from Acomys, Mus, Rattus and Oryctolagus taken using a IX83 microscope (Olympus, Tokyo, Japan) with a DP80color camera on cellSens software (cellSens v1.12, Olympus Corporation.  No counterstain was used.</em></p>
<p><strong>4) JC-1 mitochondrial Membrane potential stain</strong></p>
<p>-<em>20X fluorescent images of cultured P2 primary ear pinna fibroblasts from Acomys, Mus, Rattus and Oryctolagus taken using a IX83 microscope (Olympus, Tokyo, Japan) with a DP80color camera on cellSens software (cellSens v1.12, Olympus Corporation. Images were taken at two emission wavelengths: 590 nm and 529nm. Pictures were taken of JC-1-stained non-treated (ctrl), oligomycin (1.5uM) treated and FCCP (10mM) treated cells. No counterstain was used.</em></p>
<p><strong>5) Transmission Electron Microscopy Dataset</strong></p>
<p><em>-TEM images of cultured primary ear pinna fibroblasts from spiny mice (Acomys) and lab mice(Mus). Images were taken with an emphasis on showing mitochondrial shape, size and distribution in fibroblasts obtained across different age brackets: fetal, adult and old animals from both species.</em></p>
<p> </p>