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Figure 5 in Human activity mediates reciprocal distribution and niche separation of two sympatric mongoose species on the Pothwar Plateau, Pakistan
Figure 5. Prey species richness (S), diversity index (H'), and evenness index (E) of the prey species of the small Indian mongoose (Herpestes javanicus) on the Pothwar Plateau during the current study period.
Figure 1 in Human activity mediates reciprocal distribution and niche separation of two sympatric mongoose species on the Pothwar Plateau, Pakistan
Figure 1. GIS-based map showing distribution of the two mongoose species (Herpestes javanicus and H. edwardsii)
Figure 4 in Human activity mediates reciprocal distribution and niche separation of two sympatric mongoose species on the Pothwar Plateau, Pakistan
Figure 4. Photomicrographs of whole mount of hair structure of five different rodent species (recovered from fecal samples of gray mongoose and reference hair of rodents) consumed by the gray mongoose; A) Whole mount of recovered hair of Golunda ellioti, B) Whole mount of reference hair of Golunda ellioti, C) Whole mount of recovered hair of Tetera indica, D) Whole mount of reference hair of Tetera indica, E) Whole mount of recovered hair of Nesokia indica, F) Whole mount of reference hair of Nesokia indica, G) Whole mount of recovered hair of Rattus rattus, H) Whole mount of reference hair of Rattus rattus, I) Whole mount of recovered hair of Mus musculus, J) Whole mount of reference hair of Mus musculus.
Figure 1 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 1. Worldwide distribution of Muscardinus avellanarius (a) and trapped localities in Northern Anatolia, Turkey (b) [Number of specimens: in the West; Bolu = 23, Bursa = 3, Düzce = 6, and in the East; Giresun = 4, Ordu = 6, Trabzon = 14].
Fig. 2 in Lungworms (Metastrongylus spp.) and intestinal parasitic stages of two separated Swiss wild boar populations north and south of the Alps: Similar parasite spectrum with regional idiosyncrasies
Fig. 2. Wild boar lung with massive trauma after bullet penetration and visible bone fractures (A), dense nodule of the lobus caudalis dexter (B), and accumulation of nematodes in a bronchus (C).
Fig. 3 in Lungworms (Metastrongylus spp.) and intestinal parasitic stages of two separated Swiss wild boar populations north and south of the Alps: Similar parasite spectrum with regional idiosyncrasies
Fig. 3. Caudal ends of the 5 Metastrongylus species identified in this study: M. apri female (A) and male (B), M. asymmetricus female (C) and male (D), M. confusus female (E) and male (F), M. pudendotectus female (G) and male (H), M. salmi female (I) and male (J).
Fig. 1 in Lungworms (Metastrongylus spp.) and intestinal parasitic stages of two separated Swiss wild boar populations north and south of the Alps: Similar parasite spectrum with regional idiosyncrasies
Fig. 1. Map of Switzerland with sampling areas for the northern (Cantons of Aargau (AG), Schaffhausen (SH), Thurgau (TG) and Zürich (ZH)) and the southern (Canton of Ticino (TI)) wild boar population. N: number of lungs sampled.
Figure. 3 in Niche separation between the cosmopolitan species Drosophila melanogaster and the tropical Asian species Drosophila ananassae based on larval host-plant species
Figure. 3. Statistical interaction between Drosophila species and larval host plant in determining the number of male flies eclosing in the present experiment. Blue circles represent replicates for Drosophila ananassae and Drosophila melanogaster when raised on cucumberfruit (Averrhoa bilimbi). Red circles indicate replicates where D. ananassae or D. melanogaster were raised on banana (Musa sp.). The number of male flies eclosing from each replicate are presented as squareroot transformed data (variable: TFlies), since the transformed data were used in the ANOVA to determine the statistical significance of this statistical interaction. Da. = Drosophila ananassae, Dm.= Drosophila melanogaster.
Figure 2 in Niche separation between the cosmopolitan species Drosophila melanogaster and the tropical Asian species Drosophila ananassae based on larval host-plant species
Figure 2. Number of Drosophila ananassae and Drosophila melanogaster eclosing in the present experiment, pooling across fruit types. Da. = Drosophila ananassae, Dm.= Drosophila melanogaster.
Figure 1 in Niche separation between the cosmopolitan species Drosophila melanogaster and the tropical Asian species Drosophila ananassae based on larval host-plant species
Figure 1. Number of male flies eclosing from cucumberfruit (Averrhoa bilimbi) vs. banana (Musa species), pooled across Drosophila Species.
Fig. 10 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 10. Lower/higher (L/H) latitude taxa ratio and quantitative stratigraphic distribution of planktic foraminiferal genera across the Danian–Selandian transition at Caravaca. Asterisks indicate climate warming events identified here.
Fig. 9 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 9. Cluster analyses based on Morisita's index for relative abundance data of species from Caravaca in the Acarinina uncinata Zone (4a) and in the Morozovella cf. albeari Zone (4b); l1 = Simpson's diversity index in sample j; l2 = Simpson's diversity index in sample k; xij = percentage of species i in sample j; xik = percentage of species i in sample k.
Fig. 2 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 2. Comparison of some planktic foraminiferal zonations proposed for the D–S transition in low and middle latitudes. Correlation with the chronostratigraphic and magnetostratigraphic scales based on data from the Zumaia stratotype. (*) Probable biostratigraphic position of the base of the Igorina pusilla Zone by Toumarkine and Luterbacher (1985), and Canudo and Molina (1992), based on data from Zumaia. (**) Biostratigraphic position of the P3a/P3b boundary by Berggren and Pearson (2005), assuming that their species concept of I. albeari includes Morozovella crosswicksensis by Blow (1979) and Arenillas and Molina (1997) and/or M. cf. albeari by Arenillas et al. (2008). FOD, first occurrence data; L/H, lower/higher latitude, LOD, last occurence data.
Fig. 3 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 3. Quantitative stratigraphic distribution of planktic foraminiferal species across the Danian–Selandian transition at Caravaca. The shown stratigraphic interval does not include the lower part of the A. uncinata Zone, where Globoconusa species were found (see Arenillas and Molina 1997).
Flash separation of metals - dataset
<p>Source data for our publication entitled "Flash separation of metals by electrothermal chlorination".</p>
MAR2PROTECT Biomass-derived Carbons for the Separation of Fluorinated Gases DATASET
<p>Fluorinated gases (F-gases) are widely used in the refrigeration industry and air conditioning equipment, being used as substitutes for ozone-depleting substances, since these compounds do not damage the atmospheric ozone layer, are non-toxic, and are not flammable. However, F-gases have high global warming potential, up to 23 000 times greater than carbon dioxide, and their atmospheric lifetime is up to 50 000 years. Then, small atmospheric concentrations of these gases can have large effects on global temperatures and on climate change. Hence, different legislations aim to combat their effect on the atmosphere, such as the EU regulation (No 517/2014) that targets to cut the emissions of these gases by 2/3 by 2030, compared to the levels of 2014. The aim of this work is to design, test, and validate climate-friendly processes, based on different Key Enabling Technologies (KETs), to separate and recover F-gases. These KETs are based on more efficient treatment systems, designed according to the principles of green chemistry, for the separation of the F-gases most used in air conditioning, commercial refrigeration, electrical circuit industry, thermal insulators, and electronic semiconductors at European level: R-134a - 1,1,1,2-tetrafluoroethane, R-32 – difluoromethane, R-125 – pentafluoroethane, SF<sub>6</sub> – sulfur hexafluoride ) and nitrogen (N<sub>2</sub>). In this work, the adsorption of these gases was studied on 4 different biocarbons (CC-1:3H<sub>3</sub>PO<sub>4</sub>, CC-1:1H<sub>3</sub>PO<sub>4</sub>, CC-K<sub>2</sub>CO<sub>3</sub> and CC-CO<sub>2</sub>). Then, this work contributes to reduce the environmental impact of these powerful greenhouse gases, answering one of the greatest current concerns of society, the environment, one central goal of EU Research.</p>
SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation
<p>The SynthSOD dataset contains more than 47 hours of multitrack music obtained by synthesizing orchestra and ensemble pieces from the <a href="https://qsdfo.github.io/LOP/database.html" target="_blank" rel="noopener">Symbolic Orchestral Database (SOD)</a> using Spitfire BBC Symphony Orchestra Professional Library. To synthesize the MIDI files from the SOD, we needed to fix the original files into the General MIDI standard, select a subsect of files that fitted into our requirements (e.g., containing only instruments that we could synthesize), and develop a new system to generate musically-motivated random annotations about tempo, dynamic, and articulation. The code to replicate this process is available in <a href="https://github.com/repertorium/HQ-SOD-generator" target="_blank" rel="noopener">our repository</a> and all the details can be read in <a href="https://doi.org/10.1109/OJSP.2025.3528361" target="_blank" rel="noopener">our paper</a>. We have also published the code to train and evaluate the baseline and the pre-trained models in a <a href="https://github.com/repertorium/SynthSOD-Baseline" target="_blank" rel="noopener">GitHub repository</a>.</p> <p>We have also published the aligned score information for most of the pieces <a href="https://doi.org/10.5281/zenodo.14971533">here</a>.</p>
Gaia BH1 and BH2 - Evolutionary Models with Overshooting of the Black Hole Progenitors within the Present-Day Binary Separation
<p>Input files and simulation results for stellar evolution tracks computed for the letter "Gaia BH1 and BH2 - Evolutionary Models with Overshooting of the Black Hole Progenitors within the Present-Day Binary Separation". Version 15140 of MESA was used for the simulations. More details in the README.txt file and in the letter.</p>
Processed data used for JGR publication "Role of Midwater Mixed Waves in the Loop Current Separation Events from A Coupled Ocean-Atmosphere Regional Model and In-Situ Observations"
<p>This is the processed dataset used in the JGR publication "Role of Midwater Mixed Waves in the Loop Current Separation Events from A Coupled Ocean-Atmosphere Regional Model and In-Situ Observations" by Xiao Ge.</p> <p>Please contact the author (gexiao@tamu.edu) for all the original/processed outputs of R-CESM, and use the following original papers as citations.</p> <p>The dataset used in this research includes:</p> <p>1. Loop Current Dynamics 2009-2011: LC_*.nc is the processed (reorganized) data for each in-situ station, * represents their station ID</p> <ul> <li>https://digital.library.unt.edu/ark:/67531/metadc955416/</li> <li>https://www.sciencedirect.com/science/article/pii/S0377026516301348?via%3Dihub</li> <li>https://search.dataone.org/view/%7BBD2513E6-3B34-4B7C-BCB9-3C4ED5E8D0FB%7D</li> </ul> <p>2. Regional Community Earth System Model, R-CESM: <a href="https://zenodo.org/api/records/13932074/draft/files/h.nc/content" target="_blank" rel="noopener noreferrer">h.nc</a> is the bathymetry data of R-CESM; cmpr_*.nc files are provided as examples of the original R-CESM outputs; pvsf_prho_*.nc are the processed (subsampled at the target region and interpolated on potential density layers, derived stream function, potential vorticity, and relative vorticity) R-CESM outputs used in this research; and <a href="https://zenodo.org/uploads/13932074" target="_blank" rel="noopener noreferrer">LC_pv_40hlp_2013.nc</a> is the example of organized processed R-CESM (pvsf_prho_*.nc files) containing potential vorticity and relative vorticity for figures plotting</p> <ul> <li>https://journals.ametsoc.org/view/journals/bams/102/9/BAMS-D-20-0024.1.xml?tab_body=fulltext-display</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p>
Linked collectors and determiners for: A new species of Leioseius (Acari: Ascidae) from Brazil, redescription of Leioseius basis and a key for separation of the world species of the genus.
Natural history specimen data linked to collectors and determiners held within, "A new species of Leioseius (Acari: Ascidae) from Brazil, redescription of Leioseius basis and a key for separation of the world species of the genus". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/548cfe06-0bbf-4ce2-8b57-35a16f52427f">https://bionomia.net/dataset/548cfe06-0bbf-4ce2-8b57-35a16f52427f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/548cfe06-0bbf-4ce2-8b57-35a16f52427f">https://gbif.org/dataset/548cfe06-0bbf-4ce2-8b57-35a16f52427f</a>. Formatted as a Frictionless Data package.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.