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Fig.4 in Palaeoecological significance of coral-encrusting foraminiferan associations: A case-study from the Upper Eocene of northern Italy
Fig.4.Relative abundance of the different groups of encrusting foraminiferans (families and suborders) within Facies 1 (A), Facies 2 (B), and Facies 3 (C).
Fig.5 in Palaeoecological significance of coral-encrusting foraminiferan associations: A case-study from the Upper Eocene of northern Italy
Fig.5.Encrusting foraminiferans of Facies 1. A.IPUM 27825, foralgal crust with Placopsilina sp. (a) and Miniacina aff. multiformis Scheibner, 1968 (b) on the upper surface of the coral Cyathoseris. B. IPUM 27826, Miniacina sp. 1 encrusting the lower surface of the coral Cyathoseris. Scale bar 1 mm.
FIGURE 2 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 2. Structure of algorithm for time binning of stratigraphical units of the RNames Database (available under https://github.com/bjoekroe/RNames). Time bins are selected via three correlation routes (colour codes) and six rules resulting in six tables with referenced bins from which only those are selected which are most precise (i.e., range through lowest number of bins). Abbreviations: bio.unit, biostratigraphic unit; non-bio. unit, non-biostratigraphic unit. Colour code: red, correlation exclusively based on biostratigraphy; orange; correlation indirectly based on biostratigraphy; yellow, correlation based on direct or indirect assignments to time bins. -> arrow refers to referenced relations in RNames.
FIGURE 1 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 1. Simplified structure of the RNames Database (rnames.luomus.fi/). The database contains eight related tables (blue and red objects) of which the object "Relations" is central. In "Relations" correlated stratigraphic units are listed by reference. Three output tables (yellow objects) list time binned stratigraphic units based on a search algorithm that uses "Relations" via R-Package RMySQL (the scripts are available under https://github.com/bjoekroe/ RNames). Global Stages after Cooper et al. (2012). Abbreviations: ID, identifier; StS, Stage Slice (Bergström et al., 2009); TS, Time Slice (Webby et al., 2004)
FIGURE 5 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 5. Quality of PaleobioDB data used for diversity calculations. 1. Number of collections available per time bin. 2. Mean stratigraphic range of collections through time bins. Diamonds, two-time-bin resolution; triangles, one-time bin resolution; squares, all collections. Red, Global Stages after Cooper et al. (2012), green; Stage Slices, Bergström et al. (2009); blue, Time Slices, Webby et al. (2004).
FIGURE 4 in RNames, a stratigraphical database designed for the statistical analysis of fossil occurrences - the Ordovician diversification as a case study
FIGURE 4. Ordovician genus-level diversity trends of PaleobioDB occurrence data, based on three different time binning approaches. 1. Total mean standing diversity (after Cooper, 2004). 2. Rarefied diversity with time bins of <100 collections culled, with quota 600. Diamonds, two-time-bin resolution; triangles, one-time bin resolution; stars, all collections. Red, Global Stages after Cooper et al. (2012), green; Stage Slices, Bergström et al. (2009); blue, Time Slices, Webby et al. (2004). Error bars reflect 95% confidence interval.
Figure 1 in The common wall lizard Podarcis muralis (Reptilia: Lacertidae) shows diverse food preferences and intraspecific differences: a study case from Bulgaria
Figure 1. Percentage share of the OTUs according to: number of faecal samples of P. muralis in which the OTU was found (Fr.); number of specimens registered in the faecal samples (N); number of specimens, collected by pit-fall traps (Tr.).
Figure 3 in The common wall lizard Podarcis muralis (Reptilia: Lacertidae) shows diverse food preferences and intraspecific differences: a study case from Bulgaria
Figure 3. Percentage share of the categories of evasiveness (E1, E2, and E3) and hardness (H1, H2, and H3) according to the number of categorized prey items from the faecal samples of P. muralis (Ad. = adults; Imm. = immatures; M = males; F = females; Tot. = the entire sample).
Figure 2 in The common wall lizard Podarcis muralis (Reptilia: Lacertidae) shows diverse food preferences and intraspecific differences: a study case from Bulgaria
Figure 2. Diversity profiles of the diet of P. muralis based on the faecal samples from the study sites (Ad. = adults; Imm. = immatures; M = males; F = females).
Fig. 2 in Use of ITS-1 to identify Bactrocera dorsalis and Bactrocera occipitalis (Diptera: Tephritidae): a case study using flies trapped in California from 2008 to 2018
Fig. 2. ML tree (log likelihood –1370.3141) of elongation factor 1‑alpha (EF1α) gene based on Jukes‑Cantor model. The California fly (16V457) with Bactrocera occipitalis ITS‑1 sequence is marked with an open circle dot. Five flies trapped in California that have ITS‑1 sequences that match Bactrocera dorsalis and reported in Barr et al. (2014a) are marked with black dots.
Fig. 1 in Use of ITS-1 to identify Bactrocera dorsalis and Bactrocera occipitalis (Diptera: Tephritidae): a case study using flies trapped in California from 2008 to 2018
Fig. 1. ML tree (log likelihood –2782.3671) of C3p790 fragment of COI gene based on the Tamura model with Gamma distributed rates and Invariant sites (T92+G+I). The California fly (16V457) with Bactrocera occipitalis ITS‑1 sequence is marked with an open circle dot. Five flies trapped in California that have ITS‑1 sequences that match Bactrocera dorsalis and reported in Barr et al. (2014a) are marked with black dots. Operational Taxonomic Units and branches are collapsed for species in clades. The collapsed B. dorsalis clade includes both B. dorsalis and B. carambolae records.
Fig. 5 in Use of ITS-1 to identify Bactrocera dorsalis and Bactrocera occipitalis (Diptera: Tephritidae): a case study using flies trapped in California from 2008 to 2018
Fig. 5. Images of thoraces of the fly (16V457) with Bactrocera occipitalis ITS‑1 sequence and a Bactrocera dorsalis fly. Areas without microtrichia are highlighted in green in the smaller pictures.
Data Workbook - Ex-Situ Geoheritage Case Study: Quantitative and Qualitative Analysis of the Uppsala University Museum of Evolution Collections
<p>Data Workbook for Thesis.</p> <p>Ex-Situ Geoheritage Case Study: Quantitative and Qualitative Analysis of the Uppsala University Museum of Evolution Collections. </p> <p>Includes; Images, Conservation Results, Inventory, Valuation Grades, RStudio Results</p>
Figure 8 in From Eradication to Containment: Invasion of French Polynesia by Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) and Releases of Two Natural Enemies: A 17-Year Case Study
Figure 8. Dates of detection of B. dorsalis and introduction of F. arisanus on the various islands of French Polynesia.
Simulation data for Response of the Thermosphere-Ionosphere System to an X-Class Solar Flare: March 30, 2022 Case Study
<p>GITM simulation results for the research article titled "Response of the Thermosphere-Ionosphere System to an X-Class Solar Flare: March 30, 2022 Case Study" submitted to JGR: Space Weather </p>
Fig. 10 in The local forms of Zootecus (Gastropoda: Pulmonata: Subulinidae) of Pakistan: an archaeomalacological case study
Fig. 10 - Zootecus sp.: Examples of different shell shapes. A) Siranda WP 16. B) Siranda WP 31. C) old collection from Uthal with some juvenile individuals. D) Rohri Hills site 59. E) Rohri Hills site 480 (photo A. Girod).
GlacierPINN: Case Study Svalbard
<p>Dataset and code release (v1.0.1) as it was used in the revised manuscript. </p> <div> <div> <div>Changes from v1.0.0.: Updated velocity loss functions and added scripts to analyse importance of individual physics-aware loss components and SHAP values for the ice thickness prediction.</div> <div> <div> <div> </div> <div> <p> </p> <p> </p> </div> </div> </div> </div> </div>
Tab. 1 in The local forms of Zootecus (Gastropoda: Pulmonata: Subulinidae) of Pakistan: an archaeomalacological case study
<p>Tab. 1 - Historical names, dimensions and whorl numbers of the Z <i>ootecus</i> described from Afghanistan and Pakistan. AMNH, American Museum of Natural History; NHMUK, National History Museum, London; PZS, Proceedings of the Zoological Society of London.</p><table><tbody><tr><th><b>Local taxa</b></th><th><b>Collecting areas</b></th><th><b>H mm</b></th><th><b>D mm</b></th><th><b>H/D</b></th><th><b>Whorls</b></th></tr></tbody><tbody><tr><th>1) <i>Zootecus pullus</i> Gray, 1834 - P.Z.S., 2: 66</th><td>Balochistan, Quetta; Kutch; Bank of Ganges; Delhi; Uttar Pradesh</td><td>10</td><td>4</td><td>2.5</td><td>9-10</td></tr><tr><th>2) <i>Zootecus chion</i> (smaller form) <i>gracilior minor</i> (Pfeiffer, 1856)</th><td>Not specified</td><td>11</td><td>4</td><td>2.75</td><td></td></tr><tr><th>3) <i>Zootecus insularis chion</i> (Solem, 1979, tab. IV: 30)</th><td>Afghanistan</td><td>11.8±0.15 (9.8-14.3)</td><td>5.66±0.071 (4.3-6.4)</td><td>2.279 2.234</td><td>7 3/4 + (7 1/8-9)</td></tr><tr><th>4) <i>Zootecus polygyratus</i> Reeve, 1849</th><td>Sindh (Rohri Hills); Baluchistan (Gwadar)</td><td>12</td><td>4</td><td>3</td><td>9</td></tr><tr><th>5) <i>Zootecus chion</i>, Pfeiffer, 1856</th><td>Afghanistan; Punjab; Sindh</td><td>12</td><td>0.5</td><td>2.4</td><td>7-8</td></tr><tr><th>6) <i>Zootecus chion</i> (#2), Pfeiffer, 1856</th><td>Samples from Hyderabad</td><td>14</td><td>6</td><td>2.333</td><td></td></tr><tr><th>7) <i>Zootecus agrensis</i> Kur. r 1856 - Malakozoologische Blätter, 2: 107</th><td>India: Agra</td><td>16</td><td>6</td><td>2.666</td><td>9</td></tr><tr><th>8) <i>Zootecus estellus</i> Benson, 1857 - A.M.N.H. ser. 2, 19: 327</th><td>Punjab; Sindh; Rajasthan; Andhra Pradesh</td><td>18</td><td>6</td><td>3</td><td>8</td></tr><tr><th>9) <i>Zootecus pertica</i> Benson, 1857 - A.M.N.H. ser. 2, 19: 328</th><td>Sindh</td><td>20</td><td>5</td><td>4</td><td>10</td></tr></tbody></table>
Raw data for Machine learning approach for photocatalysis: An experimentally validated case study of photocatalytic dye degradation
<p>Specification of affiliations:</p> <ul> <li>Hassan Ali - Centre of Polymer Systems</li> <li>Muhammad Yasir - Centre of Polymer Systems</li> <li>Hamza Ul Haq - Laboratory of Alternative Fuel and Sustainability, School of Chemical and Materials Engineering,</li> <li>Ali Can Guler - Centre of Polymer Systems</li> <li>Milan Masar - Centre of Polymer Systems</li> <li>Muhammad Nouman Aslam Khan - Laboratory of Alternative Fuel and Sustainability, School of Chemical and Materials Engineering,</li> <li>Michal Machovsky - Centre of Polymer Systems</li> <li>Vladimir Sedlarik - Centre of Polymer Systems</li> <li>Ivo Kuritka - Centre of Polymer Systems</li> </ul> <p> </p> <p>Raw data for the research paper. Information on the data collection are described in the manuscript. </p>
Supplementary material to the publication entitled "Digital transformation at what cost? A case study from Germany estimating the adoption potential of precision farming technologies under different scenarios" in Smart Agricultural Technology, https://doi.org/10.1016/j.atech.2024.100585
<p>The file '<em>PAT_Descriptions_Assumptions_Supplementary Material.pdf</em>' contains descriptions of the selected Precision Agricultural Technologies (PATs) and detailed explanations of the assumptions made in the calculation model.</p> <p> </p> <p>The file '<em>Calculation Model_NUTS3_BW.xlsx</em>' includes the calculation model created for the publication.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.