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CartulR. Répertoire des cartulaires médiévaux et modernes
<p>Le répertoire électronique de sources « CartulR » consiste en une base de données évolutive (et donc dans l’état actuel relativement incomplète voire lacunaire), dédiée aux cartulaires manuscrits. L’aire couverte au géographique : principalement la France et la Belgique ; au chronologique : de la naissance du genre au Moyen Âge à la fin de l’Ancien Régime, soit du IXe au XVIIIe s.</p> <p>Le cartulaire est un recueil de copies de chartes médiévales et/ou modernes : sous la forme d’un codex, ce registre contient donc à la suite des copies d’actes dont les originaux sont souvent aujourd’hui perdus. La valeur de ces recueils est donc essentielle : ce sont là parmi les premières sources des historiens.</p>
rmidura/emdigit: Early Modern Digital Itineraries: Itinerating Europe Article Appendix & Data
<p>This project combines history of the book with digital approaches to explore how a database of sixteenth- through eighteenth-century itineraries may reshape our understanding of historical travel and communication. Printed itinerary books provided early modern travelers with lists of cities along routes. Digital spatial approaches often rely upon modern mapmaking and its built-in assumptions of up-to-date accuracy, decentered viewpoint, stable place identifiers, and direct distances. The data provided has been hand-entered from over 80 multilingual, international itineraries published from the sixteenth through eighteenth centuries and formatted for relative ease of use with network and spatial analysis tools.</p> <p>The data provided here represents the stage of work at the time of publication of Rachel Midura, Itinerating Europe: Early Modern Spatial Networks in Printed Itineraries, 1545–1700, Journal of Social History, Volume 54, Issue 4, Summer 2021, Pages 1023–1063, <a href="https://doi.org/10.1093/jsh/shab011">https://doi.org/10.1093/jsh/shab011</a>. Drawing from the physical and digitized collections of European state libraries, the database includes more than three-quarters of identified itinerary authors (twenty-five of thirty-two) and nearly a third of identified surviving editions (84 of 299, see Appendix). The resulting database consists of 3,655 unique routes, connecting 1,587 cities, published and re-published over the course of two centuries.</p> <p>All titles featured in the appendix bibliography follow the format of a header ("Rome to Milan") followed by a list of intermediary cities. Narrative guidebooks are only included if they feature such route tables as a significant component.</p> <p>I distinguish between a "route," meaning an abstracted connection between an origin, a destination, and possible intermediaries ("Rome to Paris via Milan,") and an "edge," meaning a one-to-one relationship between locations ("Rome to Paris," "Rome to Milan," and "Milan to Paris."). Routes and edges both preserve the original directionality, distinguishing between "Rome to Paris," and "Paris to Rome," for example.</p> <p>This dataset consists solely of the route headers found across the included itineraries and not the intermediary stops within at the present time. Further detail can be found in the included data schema.</p>
Wall Resolved Fluid-Structure Interaction Numerical Simulation of a Modern Wind Turbine Blade
<p>Wall-resolved fluid-structure interaction (FSI) numerical simulations of the NREL 5 MW wind turbine blade<br> are compared using two FSI approaches. The first method is based on high-fidelity Nektar++/SHARPy FSI framework,<br> where the fluid governing equations are solved using high-order spectral/hp element method and the turbulent flow is<br> resolved using Large Eddy Simulation (LES) on thick strips, while large-deformation dynamics of the structure are mod-<br> elled using a geometrically exact nonlinear composite beam finite-element model. Thick strip method for the fluid reduces<br> the computational cost by considering a series of smaller domains, each of which has a finite thickness in the spanwise<br> direction. Hence, the overall flow over the blade is treated with a sectional approach, where in each of these sections,<br> strips, the 3D flow is reconstructed locally. Tip-loss correction is used to compensate for the sectional approach over the<br> blade. The second FSI approach is based on OpenFoam/Calculix coupling, where the second-order unstructured finite<br> volume method approach is used for solving the three-dimensional flow equations and the flow turbulence is captured us-<br> ing the k-ω SST model. The structural dynamics are modeled via second-order finite element method using standard solid<br> elements. Effects of the solution fidelity on the prediction of aerodynamic forces as well as on the full three-dimensional<br> flow modelling over the blade versus sectional representation of flow over the blade while incorporating the local three-<br> dimensionality in each section and tip-correction are discussed. Further, significance of two approaches on modelling<br> the slender blade, one using the beam mode and the other utilizing the full 3D solution of structure is addressed. Finally,<br> assessment of computational cost and scalability of the two approaches are presented and discussed.</p>
Digging deeper into colonial palaeontological practices in modern day Mexico and Brazil
<p>Scientific practices stemming from colonialism, whereby middle- and low-income countries supply data for high-income countries and the contributions of local expertise are devalued, are still prevalent today in the field of palaeontology. In response to these unjust practices, countries such as Mexico and Brazil adopted protective laws and regulations during the twentieth century to preserve their palaeontological heritage. However, scientific colonialism is still reflected in many publications describing fossil specimens recovered from these countries. Here, we present examples of ‘palaeontological colonialism’ from publications on Jurassic–Cretaceous fossils from NE Mexico and NE Brazil spanning the last three decades. Common issues that we identified in these publications are the absence of both fieldwork and export permit declarations and the lack of local experts among authorships. In Mexico, access to many fossil specimens is restricted on account of these specimens being housed in private collections, whereas a high number of studies on Brazilian fossils are based on specimens illegally reposited in foreign collections, particularly in Germany and Japan. Finally, we outline and discuss the wider academic and social impacts of these research practices, and propose exhaustive recommendations to scientists, journals, museums, research institutions and government and funding agencies in order to overcome these practices.</p> <p> </p> <p><strong>Files included:</strong></p> <p><strong>Table S1.</strong> Sabinas, La Popa and Parras basins fossil publications by foreign authors</p> <p><strong>Table S2.</strong> Araripe fossil publications by foreign authors (vertebrates and plants)</p> <p><strong>Table S3.</strong> Preliminary list of Araripe fossil arthropod publications</p> <p><strong>Table S4.</strong> List of palaeontology museums and postgraduate courses in Brazil with palaeontology advisors</p> <p><strong>Table S5.</strong> List of palaeontology museums and postgraduate courses in Mexico with palaeontology advisors</p> <p><strong>Translation S1.</strong> Complete article in Portuguese</p> <p><strong>Translation S2.</strong> Complete article in Spanish</p> <p><strong>Appendix A.</strong> Laws in Brazil (includes English translations)</p> <p><strong>Appendix B.</strong> Laws in Mexico (includes English translations)</p>
Fig. 3 in History And Modern Status Of The Black-Eared Wheatear, Oenanthe Hispanica (Passeriformes, Muscicapidae), In Ukraine
Fig. 3. Distribution of Oenanthe hispanica in Crimea in the 19th–21st centuries: 1 — 19th century, 2 — 20th century, 3 — 21st century; black FIgures are FIndings of the Oenanthe hispanica and Oenanthe pleschanka hybrids.
Fig. 5. A in History And Modern Status Of The Black-Eared Wheatear, Oenanthe Hispanica (Passeriformes, Muscicapidae), In Ukraine
Fig. 5. A hybrid of the Oenanthe hispanica and Oenanthe pleschanka from Crimea, Balaklava, June 13, 2019. Photo by A. Bazdyrev.
Fig. 2 in History And Modern Status Of The Black-Eared Wheatear, Oenanthe Hispanica (Passeriformes, Muscicapidae), In Ukraine
Fig. 2. Distribution of Oenanthe hispanica in Ukraine (according to data from 1984–2019): light circles are FIndings within the breeding area and black ones are FIndings of vagrant birds.
Fig. 4. A in History And Modern Status Of The Black-Eared Wheatear, Oenanthe Hispanica (Passeriformes, Muscicapidae), In Ukraine
Fig. 4. A hybrid of the Oenanthe hispanica and Oenanthe pleschanka from Crimea, Karadag, April 23, 1998; Exposition of the museum of the Karadag nature reserve. Photo by M. Beskaravainy.
Dataset: Microscopiebeelden van de petrografische analyse op slijpplaten van vroegmoderne en moderne kleipijpjes uit verschillende opgravingen te Gent
<p><strong>Microscopiebeelden van de petrografische analyse op slijpplaten van vroegmoderne en moderne kleipijpjes uit verschillende opgravingen te Gent</strong></p> <p>De microscopiebeelden zijn een bijlage bij het eindverslag “GENTSE KLEIPIJPJES. Gentse kleipijpjes uit de periode 1600-1900 in archeologisch en sociaal cultureel perspectief” van het archeologisch syntheseonderzoek ‘Pijpen voor Malta: Gentse kleipijpjes uit de periode 1600-1900 in archeologisch en sociaal-cultureel perspectief’, gefinancierd door de Vlaamse Overheid.</p> <p>Van elke kleipijp is een slijpplaat gemaakt (afgedekt, 28x48 mm) met meerdere doorsnedes van de steel om het te bestuderen oppervlak te vergroten (2-6 doorsneden per staal). De microscopiebeelden zijn genomen aan de hand van een Olympus BX41 polarisatie microscoop en een digitale microscoop type Dino-Lite AM4113ZT met ingebouwde polarisator (vergrotingscapaciteit 20x, 50x).</p> <p>Een volledige beschrijving van de opstelling, gevolgde methodologie en beschrijving per slijpplaat kan teruggevonden worden in het deelrapport ‘De onzichtbare vingerafdruk van de Gentse pijpenbakker: een archeometrische studie van Gentse kleipijpjes (ca. 1600-1900) dat een bijlage vormt van het eindverslag.</p>
Performance results of different scheduling algorithms used in the simulation of a modern game engine
<p><strong>Performance results of different scheduling algorithms used in the simulation of a modern game engine</strong></p> <p>These results are a companion to the paper entitled "<em>Exploring scheduling algorithms for parallel task graphs: a modern game engine case study</em>" by M. Regragui et al.</p> <p><strong>General information</strong></p> <p>This dataset contains raw outputs and scripts to visualize and analyze the scheduling results from our game engine simulator.<br> The result analysis can be directly reproduced using the script run_analysis.sh. A series of Jupyter Notebook files are also available to help visualize the results.</p> <p><strong>File information</strong></p> <p>- All Scenario*.ipynb files contain python scripts to visualize and analyze the simulation results.<br> - The Scenario*.py files contain python scripts that can be run directly with Jupyter Notebook.<br> - The requirements.txt file contains the names and versions of python packages necessary to reproduce the analysis.<br> - The run_analysis.sh file contains a bash script to install the required python packages and run the Scenario*.py scripts.</p> <p>The results are organized in five folders:</p> <p>1. Result_1 contains the results for Scenario 1 generated using file input_scenario_1.txt.<br> 2. Result_2 contains the results for Scenario 2 generated using file input_scenario_2.txt.<br> 3. Result_3 contains the results for Scenario 3 generated using file input_scenario_3.txt.<br> 4. Result_CP_1 contains the results for the critical path of Scenarios 1 and 2 generated using file input_CP_scenario_1.txt.<br> 5. Result_CP_3 contains the results for the critical path of Scenario 3 generated using file input_CP_scenario_3.txt.</p> <p>Each result file (e.g., HLF_NonSorted_Random_1_200_10.txt) contains 200 lines representing information of the 200 frames that were simulated. Each line contains four values: the frame number, the duration of the frame (in microseconds), a critical path estimation for the previous frame (in microseconds), and the load parameter (value between 0 and 1).</p> <p>The outputs of this analysis include some PDF files representing the figures in the paper (in order) and some CSV files representing the values shown in tables. The standard output shows the p-values computed in parts of the statistical analysis.</p> <p><strong>Software and hardware information</strong></p> <p>The simulation results were generated on an Intel Core i7-1185G7 processor, with 32 GB of LPDDR4 RAM (3200 MHz). The machine ran on Ubuntu 20.04.3 LTS (5.14.0-1034-oem), and g++ 9.4.0 was used for the simulator's compilation (-O3 flag).</p> <p>The results were analyzed using Python 3.8.10, pip 20.0.2 and jupyter-notebook 6.0.3. The following packages and their respective versions were used:</p> <p>- pandas 1.3.2<br> - numpy 1.21.2<br> - matplotlib 3.4.3<br> - seaborn 0.11.2<br> - scipy 1.7.1<br> - pytz 2019.3<br> - python-dateutil 2.7.3<br> - kiwisolver 1.3.2 <br> - pyparsing 2.4.7 <br> - cycler 0.10.0 <br> - Pillow 7.0.0<br> - six 1.14.0 </p> <p><strong>Simulation information</strong></p> <p>Simulation results were generated from 4 to 20 resources. Each configuration was run with 50 different RNG seeds (1 up to 50).</p> <p>Each simulation is composed of 200 frames. The load parameter (lag) starts at zero and increases by 0.01 with each frame up to a value equal to 100% in frame 101. After that, the load parameter starts to decrease in the same rhythm down to 0.01 in frame 200.</p> <p><strong>Algorithms abbreviation in presentation order</strong></p> <p>FIFO serves as the baseline for comparisons.</p> <p>1. FIFO: First In First Out.<br> 2. LPT: Longest Processing Time First.<br> 3. SPT: Shortest Processing Time First.<br> 4. SLPT: LPT at a subtask level.<br> 5. SSPT: SPT at a subtask level.<br> 6. HRRN: Highest Response Ratio Next. <br> 7. WT: Longest Waiting Time First.<br> 8. HLF: Hu's Level First with unitary processing time of each task.<br> 9. HLFET: HLF with estimated times.<br> 10. CG: Coffman-Graham's Algorithm.<br> 11. DCP: Dynamic Critical Path Priority.</p> <p><strong>Metrics</strong></p> <p>* SF: slowest frame (maximum frame execution time)<br> * DF: number of delayed frames (with 16.667 ms as the due date)<br> * CS: cumulative slowdown (with 16.667 ms as the due date)<br> </p>
Unexpected morphological diversity in ancient dogs compared to modern relatives
Dogs are among the most variable species today, but little is known about the morphological variability in the early phases of their history. The Neolithic transition to farming may have resulted in an early morphological diversification as a result of changes in the anthropic environment or intentional selection on specific morphologies. Here, we explore the variability and modularity in mandible form by comparing 525 dog mandibles from European archaeological sites ranging from 8,100 to 3,000 cal. BC to a reference sample of modern dogs, wolves, and dingoes. We use three-dimensional geometric morphometrics to quantify the form of complete and fragmented mandibles. We demonstrate that an important morphological variability already existed before the Bronze Age in Europe, yet the largest, smallest, most brachycephalic or dolichocephalic extant dogs have no equivalent in the archaeological sample, resulting in a lower variation compared to modern relatives. The covariation between the anterior and posterior parts of the mandible is lower in archaeological dogs, suggesting a low degree of intentional human selection in early periods. The mandible of modern and ancient dogs differs in functionally important areas, possibly reflecting differences in diet, competition, or the implication of ancient dogs in hunting or defense.
The pan-genome unearths gene content and transposable element variations in modern pigs
<p>Genes, gene annotations, proteins, and sequences identified in the non-reference genome of the pig pan-genome. Transposable insertion polymorphisms (TIP) indentified in the pig mobolome.</p>
Text-fig. 2. Strobili of modern Equisetum hyemale L. in different stages of expansion/maturation. Living specimens from near Billerbeck in Westphalia, Germany. Scale bars 5 mm. in First Record Of Intact Equisetalean Strobili From The Wealden (Lower Cretaceous) Of The Isle Of Wight, Southern England
Text-fig. 2. Strobili of modern Equisetum hyemale L. in different stages of expansion/maturation. Living specimens from near Billerbeck in Westphalia, Germany. Scale bars 5 mm.
Text-fig. 7. a–d: Zelkova zelkovifolia. a: Fruiting twig, Oriolo MSF 639. b: Oriolo MSF 685. c: Oriolo MSF 859. d: Oriolo MSF 947. e: Unknown leaf fragment resembling Lonicera nigra L., 1753, Oriolo MSF 859. f: Crataegus aff. monogyna Oriolo MSF 639-1. g: Fagus aff. sylvatica Oriolo MSF 648. Scale bars 10 mm (a–g). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 7. a–d: Zelkova zelkovifolia. a: Fruiting twig, Oriolo MSF 639. b: Oriolo MSF 685. c: Oriolo MSF 859. d: Oriolo MSF 947. e: Unknown leaf fragment resembling Lonicera nigra L., 1753, Oriolo MSF 859. f: Crataegus aff. monogyna Oriolo MSF 639-1. g: Fagus aff. sylvatica Oriolo MSF 648. Scale bars 10 mm (a–g).
Text-fig. 1. a: Po Plain and foothills of the Northern Apennine in Northern Italy (inset) with the location of Oriolo (black star) and other Early and Middle Pleistocene plant localities, Enza and Stirone. Red lines indicate the frontal thrust arcs (modified from Martinetto et al. 2015). b: The "La Salita" section, Oriolo and chronology of the two "Sabbie gialle" cycles based on large mammals and palaeomagnetic correlation (modified from Toniato et al. 2017; IMMS 2020* [Italian Mediterranean Marine Stages] updated from Cohen and Gibbars 2020; GTS 2021* [Global Time Scale] updated from Head et al. 2021). c: Quarry "La Salita", Oriolo, in 1987. Main unconformities (U) separating the two "Sabbie gialle" cycles and terrestrial deposits on top are shown. Leaf symbols indicate the positions of some of the layers rich in fossil leaves (photo by G. B. Vai, modified). d: Surroundings of Faenza with the location of Oriolo and adjacent coeval sites yielding plant macrofossils. in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 1. a: Po Plain and foothills of the Northern Apennine in Northern Italy (inset) with the location of Oriolo (black star) and other Early and Middle Pleistocene plant localities, Enza and Stirone. Red lines indicate the frontal thrust arcs (modified from Martinetto et al. 2015). b: The "La Salita" section, Oriolo and chronology of the two "Sabbie gialle" cycles based on large mammals and palaeomagnetic correlation (modified from Toniato et al. 2017; IMMS 2020* [Italian Mediterranean Marine Stages] updated from Cohen and Gibbars 2020; GTS 2021* [Global Time Scale] updated from Head et al. 2021). c: Quarry "La Salita", Oriolo, in 1987. Main unconformities (U) separating the two "Sabbie gialle" cycles and terrestrial deposits on top are shown. Leaf symbols indicate the positions of some of the layers rich in fossil leaves (photo by G. B. Vai, modified). d: Surroundings of Faenza with the location of Oriolo and adjacent coeval sites yielding plant macrofossils.
Text-fig. 4. a–e: Parrotia aff. persica. a: Oriolo MSF 991 capsule. b: Oriolo MSF 994 endocarp. c: Oriolo MSF 654. d: Oriolo MSF 743. e: Oriolo MSF 678. f: Vitis sp. Oriolo MSF 838. g–k: Gleditsia aff. caspica. g: Oriolo MSF 920. h: Oriolo MSF 939. i: Oriolo MSF 787. j: Oriolo MSF 917. k: Oriolo MSF 925. Scale bars 10 mm (a, h–k), 5 mm (b), 50 mm (c–f). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 4. a–e: Parrotia aff. persica. a: Oriolo MSF 991 capsule. b: Oriolo MSF 994 endocarp. c: Oriolo MSF 654. d: Oriolo MSF 743. e: Oriolo MSF 678. f: Vitis sp. Oriolo MSF 838. g–k: Gleditsia aff. caspica. g: Oriolo MSF 920. h: Oriolo MSF 939. i: Oriolo MSF 787. j: Oriolo MSF 917. k: Oriolo MSF 925. Scale bars 10 mm (a, h–k), 5 mm (b), 50 mm (c–f).
Text-fig. A1. a: Ulmus longifolia UNGER, 1847 (Unger 1847: pl. 26, fig. 5). b: Ulmus braunii HEER, 1856 (Heer 1856: pl. 79, fig. 17). c: Ulmus affinis A.MASSAL., 1853 (Massallongo 1854: pl. 4, fig. 8). d, e: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium K566057), UK. Scale bars 30 mm (a–e). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. A1. a: Ulmus longifolia UNGER, 1847 (Unger 1847: pl. 26, fig. 5). b: Ulmus braunii HEER, 1856 (Heer 1856: pl. 79, fig. 17). c: Ulmus affinis A.MASSAL., 1853 (Massallongo 1854: pl. 4, fig. 8). d, e: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium K566057), UK. Scale bars 30 mm (a–e).
Text-fig. 13. a, d–g: Acer aemilianum. b, c: Acer palmatum and A. sieboldianum modern leaves (NMNS Cleared Leaf Database). a: Oriolo MSF 661, 7-lobed leaf. b: Specimen U 1049, lobe detail showing finely serrate leaf margin. c: Specimen T 0246, 9-lobed leaf with coarsely serrate leaf margin. d: Oriolo MSF 645-1, 9-lobed leaf with two small additional lobes. e: Oriolo MSF 645. f: Oriolo MSF 660, 9-lobed specimen. g: Oriolo MSF 660-1. White arrows indicate position along lamina lobes where marginal serration starts. Scale bars 10 mm (a–c, f, g), 50 mm (d, e). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 13. a, d–g: Acer aemilianum. b, c: Acer palmatum and A. sieboldianum modern leaves (NMNS Cleared Leaf Database). a: Oriolo MSF 661, 7-lobed leaf. b: Specimen U 1049, lobe detail showing finely serrate leaf margin. c: Specimen T 0246, 9-lobed leaf with coarsely serrate leaf margin. d: Oriolo MSF 645-1, 9-lobed leaf with two small additional lobes. e: Oriolo MSF 645. f: Oriolo MSF 660, 9-lobed specimen. g: Oriolo MSF 660-1. White arrows indicate position along lamina lobes where marginal serration starts. Scale bars 10 mm (a–c, f, g), 50 mm (d, e).
Text-fig. 3. a–e: Berberis auriolensis sp. nov. a: Oriolo MSF 644, Holotype. b: Oriolo MSF 794, asterisks indicate position of teeth. c: Oriolo MSF 784. d: Oriolo MSF 789. e: Oriolo MSF 790. f–h: Modern leaves of Berberis. f: Berberis amurensis var. japonica modern leaf (NMNS Cleared Leaf Database specimen T 0454). g: Berberis koreana modern leaf (NMNS Cleared Leaf Database specimen T 1646). h: Berberis canadensis modern leaf (NMNS Cleared Leaf Database specimen T 1670). i: Epimedium cf. praeaspera Oriolo MSF 778, asterisk indicates position of tooth. j: Clematis aff. vitalba Oriolo MSF 630. Scale bars 10 mm (a–j). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 3. a–e: Berberis auriolensis sp. nov. a: Oriolo MSF 644, Holotype. b: Oriolo MSF 794, asterisks indicate position of teeth. c: Oriolo MSF 784. d: Oriolo MSF 789. e: Oriolo MSF 790. f–h: Modern leaves of Berberis. f: Berberis amurensis var. japonica modern leaf (NMNS Cleared Leaf Database specimen T 0454). g: Berberis koreana modern leaf (NMNS Cleared Leaf Database specimen T 1646). h: Berberis canadensis modern leaf (NMNS Cleared Leaf Database specimen T 1670). i: Epimedium cf. praeaspera Oriolo MSF 778, asterisk indicates position of tooth. j: Clematis aff. vitalba Oriolo MSF 630. Scale bars 10 mm (a–j).
Text-fig. 6. a: cf. Rubus sp., leaflet Oriolo MSF 676. b, c: cf. Sorbus. b: Oriolo MSF 821. c: MSF 677. d: Spiraea aff. cana Oriolo MSF 944. e: Rhamnus aff. cathartica Oriolo MSF 909. f–l: Ulmus affinis. f: Oriolo MSF 717. g: Oriolo MSF 725. h: Oriolo MSF 724. i: Oriolo MSF 721. j: Oriolo MSF 723. k: Oriolo MSF 637. l: Oriolo MSF 722. m: Zelkova zelkovifolia Oriolo 28 MSF 633. Scale bars 10 mm (a–f, m), 50 mm (g–l). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 6. a: cf. Rubus sp., leaflet Oriolo MSF 676. b, c: cf. Sorbus. b: Oriolo MSF 821. c: MSF 677. d: Spiraea aff. cana Oriolo MSF 944. e: Rhamnus aff. cathartica Oriolo MSF 909. f–l: Ulmus affinis. f: Oriolo MSF 717. g: Oriolo MSF 725. h: Oriolo MSF 724. i: Oriolo MSF 721. j: Oriolo MSF 723. k: Oriolo MSF 637. l: Oriolo MSF 722. m: Zelkova zelkovifolia Oriolo 28 MSF 633. Scale bars 10 mm (a–f, m), 50 mm (g–l).
ScienceDex guides
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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.