reapxdev/zenodo-scraper huggingface dataset:
A detailed view of Antares: multiple pulsation modes and the long secondary period
Authors: Lelkes, Klára, Molnár, László, Jadlovský, Daniel
Type: Poster
Published: 2026-07-17

<p>Antares is one of the nearest red supergiants, yet its variability has received much less attention than that of Betelgeuse. We present a detailed analysis of its photometric and radial velocity variability based on the longest and most precise light curve of Antares to date, constructed from nearly nine years of space-based observations of the Solar Mass Ejection Imager (SMEI), complemented by radial velocity measurements from the STELLA telescope and from the literature. The corrected light curve reveals variability on multiple timescales. We identify a long secondary period (LSP) on the order of several thousand days in the photometric data, with the radial velocity measurements showing a similar timescale. The phase difference betweenthetwo signalsiscomparabletothatobserved inBetelgeuse,indicatingthatapurelyradialpulsation origin is unlikely and instead suggesting circumstellar dust modulation, possibly associated with a close, low-mass companion. After removing the long-period component, frequency analysis of the residual light curve reveals multiple pulsation modes. We identify the fundamental radial mode (∼260 days) and the first overtone (∼130–145 days), with a period ratio close to 2:1, and detect an additional ∼95-day periodicity that may correspond to the second overtone. The first clear and simultaneous detection of these modes provides a more complete view of the pulsational behaviour of Antares than previously available. These results provide a coherent picture of the variability of Antares, highlighting its multi-periodic nature. If confirmed, the identification of the second overtone would place strong constraints on future asteroseismic models of Antares and would improve our understanding of variability in red supergiants in general.</p>
Photometric analysis of KQ Pup, one of the closest red supergiants
Authors: Molnár, László, Lelkes, Klára, Jadlovský, Daniel
Type: Poster
Published: 2026-07-17

<p>KQ Pup is among the handful of red supergiants, and thus SN progenitors, found within 1 kpc from the Sun. It is the largest member of a triple system, where the eclipsing binary nature of the secondary was recognized only recently from TESS observations. The light variations of the primary have been scarcely studied, but approximate periodicities have been identified from ground-based and HIPPARCOS photometry. Here we present the analysis of the most comprehensive photometric data of KQ Pup yet, combining multiple ground-based data sources with data from the HIPPARCOS and SMEI space missions. We detail the correction steps used to rectify the SMEI data, and estimate the oscillation periods of the star, which can be used for asteroseismic modeling in the future. We also present signatures of other types of photometric variation in the star, including periastron brightening and short eclipse-like features near apastron.</p>
Global mantle xenolith bulk rock and paired minerals geochemical and age data
Authors: Qin, Ben, Sun, Tao, Li, Litong, Dongya, Zou
Type: Data paper
Published: 2026-08-03

<p>The dataset includes whole-rock analyses, constituent mineral compositions, manually collated sample ages, and pressure-temperature estimates predicted using machine learning thermobarometry models. Mantle xenoliths—fragments of lithospheric mantle transported to the surface by kimberlitic and basaltic magmas—serve as direct samples for investigating mantle evolution and heterogeneity. The initial whole-rock and minerals geochemical data were obtained from GEOROC (Geochemistry of Rocks of the Oceans and Continents) database. Following data cleaning <span>an</span>d processing, samples were matched by comparing identifiers, references, and coordinates across mineral-specific (clinopyroxene, orthopyroxene, olivine, spinel, and garnet) databases. The results were supplemented by manual verification to ensure accurate group<span>ing of</span> minerals <span>based on</span> their common xenolith origins. This produce<span>s</span> a globally consistent mineral assemblage dataset, comprising <span>19</span>,<span>375 ro</span>ws of mantle xenolith data from approximately 5<span>47</span> locations. This dataset offers a comprehensive geochemical foundation for mantle-related studies.</p>
From Waters to Screens: Looking at Wild Betta Betta spp. (Anabantiformes: Osphronemidae) Trading in Indonesia's Online Marketplaces
Authors: Arifah, Nur, Sari, Diah Komala, Widayanti, Gusti Ayu, Syafutra, Randi, Aprillia, Ina, Iqbal, Muhammad
Type: Journal article
Published: 2025-12-27
Keywords: Biodiversity, Taxonomy

Arifah, Nur, Sari, Diah Komala, Widayanti, Gusti Ayu, Syafutra, Randi, Aprillia, Ina, Iqbal, Muhammad (2025): From Waters to Screens: Looking at Wild Betta Betta spp. (Anabantiformes: Osphronemidae) Trading in Indonesia's Online Marketplaces. Bio Palembanica 2 (2): 142-153, DOI: 10.36982/bio.v2i2.6201
Recent Records of Racket-tailed Treepie Crypsirina temia (Passeriformes: Corvidae) in Kalimantan, Indonesia
Authors: Nugroho, Teguh Willy, Putera, Alexander Kurniawan Sariyanto, Iqbal, Muhammad, Ferdiansyah, Happy, Noviyono, Ari, Syah, Abdul Hakim, Zafran, Fikri El
Type: Journal article
Published: 2025-12-27
Keywords: Biodiversity, Taxonomy

Nugroho, Teguh Willy, Putera, Alexander Kurniawan Sariyanto, Iqbal, Muhammad, Ferdiansyah, Happy, Noviyono, Ari, Syah, Abdul Hakim, Zafran, Fikri El (2025): Recent Records of Racket-tailed Treepie Crypsirina temia (Passeriformes: Corvidae) in Kalimantan, Indonesia. Bio Palembanica 2 (2): 128-133, DOI: 10.36982/bio.v2i2.6148
jeanpaul-topics: Topic modeling the correspondence of Jean Paul's surroundings
Authors: Neuber, Frederike, Henny-Krahmer, Ulrike
Type: Dataset
Published: 2026-08-03
Keywords: digital humanities, topic modeling, correspondence, Jean Paul, text analysis

<p>Dataset of the article: Ulrike Henny-Krahmer and Frederike Neuber. 2026. Topic Modeling in Digital Scholarly Editions, in: Machine Learning and Data Mining for Digital Scholarly Editions (ed. by Ulrike Henny-Krahmer, Martina Scholger, Bernhard Geiger, Fabian Kaßner and Marc Lemke). Schriften des Instituts für Dokumentologie und Editorik 18. Norderstedt: Books on Demand</p>
Cultivated area of staple grains (bean, maize, rice, and wheat) in Mexican municipalities – 2024
Authors: López-Martínez, Víctor, Velázquez-Martínez, Adán, Alia-Tejacal, Iran, Pérez-de la O, Nidia Bélgica
Type: Dataset
Published: 2026-08-03
Keywords: geodata, crop data

<p>This dataset contains vector layers representing the surface area (in hectares) cultivated (2024) with four staple crops in Mexico: maize, rice, wheat, and beans, during the 2024 agricultural year. Data is aggregated at the municipality level and includes attributes such as total planted area, harvested area, and crop value (in MXN thousands).<br>The dataset is provided as a single GeoPackage (.gpkg) with four layers:<br>    • maize_2024<br>    • bean_2024<br>    • rice_2024<br>    • wheat_2024</p>
<p>Each layer shares a common spatial reference system (EPSG:4326) and contains standardized attribute fields. A full data dictionary and a README file are included.</p>
<p>v2: Corrected the field types of seven columns. The columns Planted_area, Harvested_area, Damaged_area, Production, Yield, Rural_price, and Value in Maize, are now numeric.</p>
<p> </p>
<p>Esta base de datos contiene capas vectoriales de la superficie cultivada en 2024 de cuatro granos básicos en México (arroz, frijol, maíz y trigo). La información es a nivel de municipios e incluye datos como área sembrada, área cosechada, área siniestrada y valor de la producción ( en miles de pesos).</p>
<p>La base de datos esta en formato GeoPackage (.gpkg) con cuatro capas:</p>
<p>-maíz_2024</p>
<p>-frijol_2024</p>
<p>-arroz_2024</p>
<p>-trigo_2024</p>
<p>Las capas comparten el mismo sistema de coordenadas de referencia (EPSG:4326) y contienen campos estandarizados en la tabla de atributos. Además, se proporciona un diccionario y un archivo README. </p>
<p>v2: se corrigió el tipo de campo para las columnas Planted_area, Harvested_area, Damaged_area, Production, Yield, Rural_price, y Value en Maíz. </p>
<p> </p>
<p>Data sources and credits (Fuentes de información y créditos):<br>- Municipality boundaries: División política municipal (1:250,000, 2023) from INEGI, downloaded via CONABIO Geoportal:<br>  http://www.conabio.gob.mx/informacion/gis/?vns=gis_root/dipol/mupal/mun23gw<br>- Agricultural data: Annual Agricultural Production 2024, Servicio de Información Agroalimentaria y Pesquera (SIAP):<br>  https://nube.agricultura.gob.mx/cierre_agricola/</p>
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