The DAISIE - inventory of alien invasive species in Europe is a species checklist dataset published by the Research Institute for Nature and Forest (INBO) and the Centre for Ecology and Hydrology (CEH). It contains information on 12,104 taxa (mostly species and mostly introduced) occurring in the wild in Europe since 1500. It covers a broad taxonomic spectrum of terrestrial and aquatic free living and parasitic organisms. The collation of the alien species list is the result of the efforts of the DAISIE (http://www.europe-aliens.org/) project partners and more than 300 collaborators from Europe and neighbouring countries, involved in different fields of expertise and organisations. Here the DAISIE checklist is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher classification, and stable taxon identifier (in the taxon core), the vernacular names (in the vernacular names extension), the presence in a specific region, the year of the first introduction (first collection) and/or last assessment/observation in that region, as well as extra information (in the distribution extension), and the habitat, native range, and ecofunctional group (in the description extension). The DAISIE dataset is no longer maintained, but can be used as a historical archive for researching and managing alien plants or compiling regional and national registries of alien species. Issues with the dataset can be reported at https://github.com/trias-project/daisie-checklist

We have released this dataset under a Creative Commons Attribution license (CC-BY 4.0). We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project.

The publication of the checklist to GBIF was supported by the European Cooperation in Science and Technology (COST) action Alien CSI “CA17122 - Increasing understanding of alien species through citizen science” as a Short Term Scientific Mission “Publishing alien species checklist data for Europe through repeatable, open workflows”, with technical support provided by the Research Institute for Nature and Forest (INBO).

When germinated and grown on-board the ISS (International Space Station) plant do not exhibit abnormal structures but they do have altered growth habits and this project aims to investigate the molecular mechanisms that provide the foundation for the altered growth habits observed in orbit. APEX03-2 (Advanced Plant Experiment 03-2) also known as TAGES-ISA (Transgenic Arabidopsis Gene Expression System-Intracellular Signaling Architecture) specifically addresses the growth and molecular changes that occur in Arabidopsis thaliana plants during spaceflight by using molecular and genetic tools and by asking fundamental questions regarding root structure growth and cell wall remodeling may be answered. This investigation advances the fundamental understanding of the molecular biological responses to extraterrestrial environments. This understanding helps to further define the impacts of spaceflight on biological systems to better enable NASA x92s future space exploration goals.

Atari - ET The Extra-Terrestrial Atari 2600 - ET

Source: Objaverse 1.0 / Sketchfab

This data compilation contains uranium isotopes (234U/235U/238U) and concentration data on a suite of terrestrial and extra-terrestrial samples for understanding the uranium isotope cycling on Earth. Sample list includes meteorites (ordinary chondrites, eucrites), mantle-derived basalts (Ocean Island Basalts, Mid-Ocean Ridge Basalts), arc volcanics, altered oceanic crust (ODP 801), volcanici-clastic sediments, seawater, fossil corals and organic-rich sediments (From the Black Sea and Cariaco Basin).

This dataset captures a rich and realistic representation of the Ben 10 alien universe. It includes detailed information on original and ultimate Ben 10 aliens, their natural enemies, and battle encounters between them. The dataset aims to provide fans, researchers, and data enthusiasts with a comprehensive fictional dataset useful for analytics, machine learning, or storytelling projects related to the Ben 10 franchise.

The dataset contains 3 CSV files with 200-300+ rows each, ensuring a robust sample size for any analysis.

File Descriptions

1. ben10_aliens.csv

This file contains detailed attributes for each unique alien in the Ben 10 universe, including classic, alien force, ultimate, omniverse, and reboot versions.

• Number of rows: ~70 unique aliens
• Contains realistic stats and fictional species information.

2. ben10_enemies.csv

This file maps the natural enemies of each alien. Each alien can have 1 to 3 enemies, representing opposition relationships in the Ben 10 universe.

• Number of rows: ~150 enemy relationships
• Represents the alien rivalry network.

3. ben10_battles.csv

This file logs 300 battle encounters between aliens and their enemies, including the battle date and the winner of the fight.

• Number of rows: 300 battles
• Captures fictional combat history with realistic dates.

Usage Notes

• All data is fictional but designed to be realistic and consistent within the Ben 10 universe.
• The dataset is ideal for educational purposes, data analysis, machine learning experiments, and fan projects.
• No personally identifiable information is included since this dataset is based entirely on fictional characters.

License

This dataset is released under the CC0: Public Domain license. Feel free to use, modify, and share it without restrictions.

Enjoy exploring the Ben 10 Alien Universe! 🚀👽

Distribution by countries (EEZ): All the terrestrial alien species in Europe. Number of species 13439. Done by EASIN Official on 18-02-2014.

No description is available. Visit https://dataone.org/datasets/2c0389eea7d4afe225ec81e502edc89d for complete metadata about this dataset.

The abundances of Platinum Group Elements (PGEs: Ruthenium, Rhodium, Palladium, Osmium, Iridium, and Platinum) are high in meteorites and extremely low in terrestrial rocks and water and accumulations of mainly platinum and iridium in ancient polar archives have been argued to trace terrestrial (continental/volcanic dust) and extra-terrestrial sources. The PGE concentration data, however, lack specificity. For example, the extent to which terrestrial dust compared to cosmic dust has contributed to the PGE inventory of polar ice cannot be readily evaluated from the PGE concentration data alone. Since the osmium isotopic compositions (R(187Os/188Os) ratio) of terrestrial (= 1.40 ± 0.30) and extraterrestrial/volcanic sources (= 0.13) are distinctly different from each other, osmium isotopic composition has the potential to elucidate relative contributions from these sources in ancient polar ice. However, the determination of osmium isotopes in polar ice core archives is challenging due to extremely low concentrations (∼10E-15 g g−1), and due to the availability of small sample sizes (tens of grams). The main objective of this study is to develop a highly sensitive procedure that allows accurate and precise determination of osmium concentration and isotope composition using ~50 g of melted Greenland ice or snow. By substantially improving previously established clean lab chemistry and high sensitivity mass spectrometry we analyzed snow collected from Summit, Greenland during 2009, 2014, and 2017. We find that the average osmium concentration of the snow is 0.459 ± 0.018 (95% C.I.) fg g−1 corresponding to an osmium flux of 0.0579 ± 0.0023 (95% C.I.) fmol cm−2 yr−1. The average R(187Os/188Os) ratio of the Summit snow is 0.264 ± 0.026 (95% C.I.). Assuming that the volcanic source is negligible, the average ratio indicates that about 0.0518 ± 0.0040 (95% C.I.) fmol cm−2 yr−1 of osmium is of cosmic derivation, corresponding to an accretion rate of extra-terrestrial osmium to the Earth of 264 ± 21 mol yr−1. This assessment is similar to the present-day accretion rate of extra-terrestrial osmium to the Earth determined by previous studies. Because of its sensitivity our procedure can be extended to study changes in the accretion of extra-terrestrial osmium over the last several hundred thousand years using samples of ice core. The data contains osmium concentration and isotope composition of (1) reagents and procedural blanks of two Osmium purification methods (Table 1), (2) Antarctic sea snow, sea water, and NEEM firn for method comparison (Table 2), and finally (3) modern snow from Summit, Greenland for sample application (Table 3).

This dataset contains the predicted prices of Extraterrestrial Token for the upcoming years based on user-defined projections.

The Manual of the Alien Plants of Belgium is a species checklist dataset published by the Botanic Garden Meise. It contains information on all (over 2.500) non-native vascular plants occurring in the wild in Belgium since 1800. The checklist is almost entirely based on a thorough herbarium revision of the main public Belgian herbaria (Verloove 2006), actively maintained, and updated regularly at Verloove (2018, http://alienplantsbelgium.be). Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, kingdom, family, stable taxon identifier, and IPNI (2018) scientific name ID where available (in the taxon core), the presence in Flanders, Wallonia and the Brussels Capital Region, as well as the year of the first introduction (first collection) and last assessment/observation in Belgium (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension), and the pathway(s) of introduction, native range(s) and invasion stage in Belgium (in the description extension). The dataset can be used for researching and managing alien plants or compiling regional and national registries of alien species. Issues with the dataset can be reported at https://github.com/trias-project/alien-plants-belgium

We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project.

This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

The search for extra-terrestrial life is one of the ultimate goals for future exoplanet-seeking missions while one of the major challenges these missions face is the possible presence of warm dust, referred to as "exozodiacal" dust, near the target stars or within their habitable zone. Therefore, it is critical to identify which stars possess exozodiacal dust and quantify their exozodiacal emission levels. In this study, we conducted a search for exozodi candidates within 10 parsecs using the Reyle sample. We performed proper motion calculations and cross-matched the sample with the WISE and 2MASS database, resulting in 339 preliminary target samples. We further analyzed the infrared radiation characteristics of these targets, using spectral energy distribution (SED) fitting to predict photometric flux levels in the infrared and searching for 3sigma excesses in the WISE W3 band. During the further selection process, we applied various analysis methods to perform rigorous validation. We identified 5 exozodi candidates all of which are brown dwarfs (BDs). Given the clustering in candidate spectral types, we expect that these are not true exozodi candidates, rather the apparent excess arises from the inability of the BD photosphere models to accurately represent the SEDs of objects at the L-T transition. Indeed for the object DENIS J025503.3-470049, excess is likely due to silicate clouds in the BD atmosphere. We suggest that a more stringent 5sigma excess is required to infer excess for this spectral type. The detection rate (0/339) in our sample shows that less than 1% of M stars have exozodi above 21% excess levels. This is consistent with the rate of exozodi at similar level towards FGK stars in the Kennedy & Wyatt sample (25/24,174). We provide upper limits on the 12 micron exozodi emission for the sample, which is typically at 21% relative to the star. For most stars, in particular the low mass M stars, this is the first such upper limit in the literature.

Marine invasive species are currently recognized as one of the major direct causes of biodiversity loss and changes in ecosystem provisioning and supporting services. This dataset documents the recent progress in addressing their growing threat to ocean biodiversity and ecosystems.

In this study, organic petrology and Osmium isotope (187Os/188Os) stratigraphy, major and trace element, and programmed pyrolysis analysis were performed on five outcrop samples from western New York, USA. Seawater Os isotope composition is controlled by radiogenic input from weathering of the ancient land and nonradiogenic input from extraterrestrial and hydrothermal sources (Peucker-Ehrenbrink and Ravizza, 2000). Os is complexed by the organic matter present at the time of deposition without isotope fractionation. Seawater Os isotope composition is reconstructed by analysing the Os isotope composition of the organic-rich sedimentary rock (Turgeon et al., 2007). The short residence time of Os (10 – 50 kyrs) in seawater makes it homogenised in the ocean, thus the Os isotope record from an open marine setting is representative of the global signal (Peucker-Ehrenbrink and Ravizza, 2000; Rooney et al., 2016). Here, we report increased inertinite as evidence for enhanced wildfire events at the F-F boundary and give implications on the F-F mass extinction. O2 level is estimated to be around (24.8%) with the average inertinite abundance data. Unlike previously thought, our findings support a model with higher atmospheric oxygen level (Berner et al., 2003) during the Late Frasnian to early Famennian (Late Devonian). The atmospheric oxygen level may have reached the present level (21 %) at late Frasnian (25 Myrs earlier than previous thought). Our Osi record excludes extra-terrestrial impact or hydrothermal event as a trigger for the mass extinction. Also, we give implications on the mechanism of Re-Os enrichment and fractionation in the organic-rich sedimentary rocks.

Data that was used for the preparation of the article "Formation of extraterrestrial peptides and their derivatives"

Earth’s subsurface is often isolated from phototrophic energy sources and characterized by chemotrophic modes of life. These environments are often oligotrophic and limited in electron donors or electron acceptors, and include continental crust, subseafloor oceanic crust, and marine sediment as well as subglacial lakes and the subsurface of polar desert soils. These low energy subsurface environments are therefore uniquely positioned for examining minimum energetic requirements and adaptations for chemotrophic life. Current targets for astrobiology investigations of extant life are planetary bodies with largely inhospitable surfaces, such as Mars, Europa, and Enceladus. Subsurface environments on Earth thus serve as analogs to explore possibilities of subsurface life on extraterrestrial bodies. The purpose of this review is to provide an overview of subsurface environments as potential analogs, and the features of microbial communities existing in these low energy environments, with particular emphasis on how they inform the study of energetic limits required for life. The thermodynamic energetic calculations presented here suggest that free energy yields of reactions and energy density of some metabolic redox reactions on Mars, Europa, Enceladus, and Titan could be comparable to analog environments in Earth’s low energy subsurface habitats.

The GreekMarineICAS geodataset was created as part of the project ALAS: Aliens in the Aegean – A Sea Under Siege project (https://alas.edu.gr/), with the aim to assess the spatial extent and potential impacts of alien species in the Aegean Sea, and to improve our understanding of the mechanisms driving the impacts of invasive alien species on native marine ecosystems. Methodology of data compilation: Initially, an ICAS catalogue was created, including species classified as of high impact in the European Alien Species Information Network (EASIN), or as invasive or of high impact in recent review papers. A thorough search was conducted to look for information on the presence of these species in the Greek Seas. Georeferenced data, along with information on the reported date / year of sighting, depth range, abundance and habitat type were compiled using all available types of data sources, including published scientific literature, grey literature (e.g., theses, technical reports, and newspaper reports), offline databases (including records from past projects of universities, research institutes, the ELNAIS database, and citizen science initiatives), online scientific or citizen science databases (Algaebase, GBIF, OBIS, iNaturalist - only research-grade data), social networks (e.g., Instagram and Facebook), as well as through field work involving scientific diving and interviews with marine scientists, fishers and divers that were carried out during the ALAS project. In situ underwater sampling during the ALAS project was carried out in 2020 at 156 sites, and all sampling was conducted using non-destructive visual sampling techniques via SCUBA or free diving, down to a maximum of 20 m depth. Moreover, an unstructured interview approach was applied during the respective interviews with marine scientists, fishers and divers, while a photographic guide of the targeted ICAS was produced and provided during the interviews to enhance the species verification process. Information from social networks was specifically retrieved from the websites of diving centers, which were thoroughly checked for images of ICAS, and once relevant images were found the corresponding information was further validated through direct communication. All data were organized within an Excel spreadsheet and all duplicate records were deleted.

The aim of this proposal is to investigate the application of highly-curved HAPG analyzer crystals in WD-XRF spectroscopy for the simultaneous analysis of lanthanides in unique extraterrestrial materials and explore its 3D voxel scanning capabilities at low excitation energies. For this a novel analysis technique is proposed to obtain non-destructive, selective volume information of rare earth elements (REEs) in µm-sized analogues of coarse grain asteroid samples in preparation for the initial analysis of materials from asteroid sample return missions. The combination of cylindrical HAPG optics with ultra-high curvature having a mm-sized working distance is expected to provide higher throughput and collimation as compared to high energy resolution fluorescence detection (HERFD) spectroscopy.

Data for the manuscript submitted to GRL (i.e., new evidence for 4.32 Ga ancient silicic volcanism on the Moon)

The checklist of alien herpetofauna of Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on alien amphibian and reptile species recorded in the wild in Belgium since 1968. Both established species and occasional records are included, but with information on the degree of establishment of species following the unified invasion framework of Blackburn et al. (2011). The checklist is published here as a standardized Darwin Core Archive and includes for each (sub)species: the scientific name and classification (in the taxon core), the presence in Flanders, Wallonia and the Brussels-Capital Region, year of first and last observation in Belgium (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension), and the degree of establishment, pathway(s) of introduction and native range(s) (in the description extension). Issues with the dataset can be reported at https://github.com/trias-project/alien-herpetofauna-belgium. We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.