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14,965 results for “evolution”
FIG. 11 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe
FIG. 11. — Biochronological and biostratigraphical distribution of Early-early Middle Pleistocene Mammuthus in Europe and chronology of selected localities mentioned in the text (in bold the type localities). Data from references cited in the text.
Reproduction package for the paper "The effects of surface fossil magnetic fields on massive star evolution - II. Implementation of magnetic braking in MESA and implications for the evolution of surface rotation in OB stars "
<p>This is a reproduction package for the paper "The effects of surface fossil magnetic fields on massive star evolution - II. Implementation of magnetic braking in MESA and implications for the evolution of surface rotation in OB stars" by Keszthelyi et al. (2020), https://doi.org/10.1093/mnras/staa237</p>
Covid-19 - impact on evolution of energy demand
<p><strong>Consumo_elect_COVID_2020 & Consumo elect_COVID_2019</strong></p> <p>Dataset with register of energy demand in Spain. Timeframe: January to March (2019 & 2020)</p> <p> </p> <p><strong>Casos_COVID_ESPAÑA</strong></p> <p>Dataset with register of the evolution of the spread of Covid-19 in Spain. Break-down of data per region (CCAA). Timeframe: January to March 2020</p> <p> </p> <p><strong>Casos_COVID_mundo</strong></p> <p>Dataset with register of the evolution of the spread of Covid-19 in Spain. Break-down of data per country. Timeframe: January to March 2020</p>
Flume experiments on the effects of sediment feed rates on step formation, evolution and stability
<p>The dataset contains:</p> <p>- Digital Elevation Models of the experiments collected every hour</p> <p>- Pics of the Bed topography collected every hour</p> <p>- Step number, location, evolution (as described in the paper submitted to Earth Surface Dynamics)</p> <p>- Bed grain-size distribution, sediment and sediment concentration.</p>
Figs 97-102 in ClassiIication, Natural History, and Evolution oI the SubIamily Peloniinae OPITZ (Coleoptera, Cleroidea, Cleridae). Part XIII. The New World genera oI checkered beetles of the Labasiella complex
Figs 97-102: Male genitalia. (97) Amphelissus meieri. (98) Inconnexus lunarus. (99) Labasiella boyaca. (100) L. mcclarini. (101) L. transversalis. (102) L. machupicchu.
Figs 103-107 in ClassiIication, Natural History, and Evolution oI the SubIamily Peloniinae OPITZ (Coleoptera, Cleroidea, Cleridae). Part XIII. The New World genera oI checkered beetles of the Labasiella complex
Figs 103-107: Male genitalia. (103) Labasiella eugeniae. (104) L. tucumanensis. (105) L. varipennis. (106) L. stangei. (107) Macilentus micidus.
Figs 90-96 in ClassiIication, Natural History, and Evolution oI the SubIamily Peloniinae OPITZ (Coleoptera, Cleroidea, Cleridae). Part XIII. The New World genera oI checkered beetles of the Labasiella complex
Figs 90-96: Habitus. (90) Macilentus micidus. (91) Oncochelyna barrigai. (92) O. tuberculate. (93) Pelmatus barri. (94) P. bicolor. (95) Silvanoclerus beechi. (96) S. dilatus.
Figs 81-89 in ClassiIication, Natural History, and Evolution oI the SubIamily Peloniinae OPITZ (Coleoptera, Cleroidea, Cleridae). Part XIII. The New World genera oI checkered beetles of the Labasiella complex
Figs 81-89: Habitus. (81) L. solervicensi. (82) L. transversalis. (83) L. lata. (84) L. labaticollis; (85) L. machupicchu. (86) L. santa. (87) L. stangei. (88) L. tucumanensis. (89) L. varipennis.
Figure 69a in ClassiIication, Natural History, and Evolution oI the SubIamily Peloniinae OPITZ (Coleoptera, Cleroidea, Cleridae). Part XIII. The New World genera oI checkered beetles of the Labasiella complex
Figure 69a illustrates my hypothesis of the phylogenetic relationships of the taxa included in this work. The WINCLADA and NONA computer analysis produced a tree with the following indices: L 21, Ci 85, Ri 87. The presence of an acute pronotal tubercle and
Figs 67-68 in ClassiIication, Natural History, and Evolution oI the SubIamily Peloniinae OPITZ (Coleoptera, Cleroidea, Cleridae). Part XIII. The New World genera oI checkered beetles of the Labasiella complex
Figs 67-68: Elytral surface and elytral asetiferous puncture. (67) Elytral surface. (68) Elytral asetiferous puncture.
Figs 44-56 in ClassiIication, Natural History, and Evolution oI the SubIamily Peloniinae OPITZ (Coleoptera, Cleroidea, Cleridae). Part XIII. The New World genera oI checkered beetles of the Labasiella complex
Figs 44-56: Various organs. 44-52 Pronota. (44) Silvanoclerus beechi. (45) Labasiella bimaculate. (46) L. boyaca. (47) L. Cochabamba. (48) L. mcclarini. (49) L. eugeniae. (50) L. robles. (51) L. solervicensi. (52) L. transversalis. 53-54 Heads. (53) Inconnexus lunarus. (54) Silvanoclerus dilatus. 54A-54B Generalized shape of the last maxillary palpomeres. (54A) Securiform. (54B) subsecuriform. 55-56 Mesodermal reproductive organs of Amphelissus meieri. (55) Female. (56) Male.
Figs 28-43 in ClassiIication, Natural History, and Evolution oI the SubIamily Peloniinae OPITZ (Coleoptera, Cleroidea, Cleridae). Part XIII. The New World genera oI checkered beetles of the Labasiella complex
Figs 28-43: Pronota. (28) Amphelissus goniodus. (29) A. meieri. (30) Inconnexus lunarus. (31) Labasiella lata. (32) L. labaticollis. (33) L. machupicchu. (34) L. santa. (35) L. stangei. (36) L. tucumanensis. (37) L. varipennis. (38) Pelmatus barri. (39) P. bicolor. (40) Macilentus micidus. (41) Oncochelyna barrigai. (42) O. tuberculate. (43) Silvanoclerus dilatus.
FIG. 8 in A skull of Machairodus Kaup, 1833 (Felidae, Mammalia) from the late Miocene of Hadjidimovo (Bulgaria), and its place in the evolution of the genus
FIG. 8. — Scatterplot of P4 length vs P4 width in Machairodus Kaup, 1833 and Homotherium Fabrini, 1890. Data as for Figures 4 and 5, plus: Alcalà 1994; Bonis 1984; Peigné 2016; Pons-Moyá 1987; Sotnikova 1989; Turner 1987.
FIG. 10 in A skull of Machairodus Kaup, 1833 (Felidae, Mammalia) from the late Miocene of Hadjidimovo (Bulgaria), and its place in the evolution of the genus
FIG. 10. — Scatterplot of p3 length vs m1 length. Data as for Figures 4 to 9, plus Orlov 1936; Peigné et al. 2005; Rook et al. 1991; Sotnikova et al. 2002; Sardella & Werdelin 2007.
FIG. 9 in A skull of Machairodus Kaup, 1833 (Felidae, Mammalia) from the late Miocene of Hadjidimovo (Bulgaria), and its place in the evolution of the genus
FIG. 9. — Scatterplot of lower canine length vs lower canine width in Machairodus Kaup,1833 and Homotherium Fabrini,1890. The values for Hadjidimovo are taken from the root, and may be slightly underestimated. Data as for Figures 4 to 8, plus Hemmer 2001; Lungu 1978; Morales & Soria 1979; Sotnikova & Titov 2009.
Experimental Results for the study "A Modular Hybridization of Particle Swarm Optimization and Differential Evolution"
<p>This repository contains the experiment results and R scripts to analyze the data for the study "A Modular Hybridization of Particle Swarm Optimization andDifferential Evolution", which is accepted in <em>The Genetic and Evolutionary Computation Conference</em> (GECCO) '20 conference: </p> <p>Rick Boks, Hao Wang, and Thomas Bäck. 2020. A Modular Hybridization of Particle Swarm Optimization and Differential Evolution. In <em>Genetic and Evolutionary Computation Conference Companion (GECCO ’20 Companion), July 8–12, 2020, Cancún, Mexico. </em>ACM, New York, NY, USA, 8 pages. <a href="http://https: //doi.org/10.1145/3377929.3398123">https: //doi.org/10.1145/3377929.3398123</a></p> <p>Bibtex:</p> <pre><code class="language-markdown">@inproceedings{BoksWB20, author = {Rick Boks and Hao Wang and Thomas B\"ack}, title = {{A Modular Hybridization of Particle Swarm Optimization and Differential Evolution}}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference, {GECCO} 2020, Canc\'un, Mexico, July 8-12, 2020}, publisher = {{ACM}}, year = {2020}, url = {https://doi.org/10.1145/3321707.3321816}, doi = {doi.org/10.1145/3377929.3398123, }</code></pre> <p><strong>Data description:</strong> we benchmarked <strong>800 </strong>different<strong> </strong>hybridizations of the Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms on a well-known continuous black-box problem set called <a href="https://coco.gforge.inria.fr/">COCO/BBOB</a>, which consists of 24 test functions. 30 independent runs are conducted for each algorithm on each problem.</p> <ul> <li>'ERT.csv': a data frame with columns DIM (5D or 20D), funcId (F1-24), algId (algorithm names), target (<span class="math-tex">\(10^{\{-8,-7, \ldots, 1\}}\)</span>), ERT (expected running time), and sd (standard deviation).</li> <li>'raw-data.csv': the running time recorded in each independent run. </li> <li>'analysis.R': the R script that generates ERT tables in the paper.</li> <li>'ecdf.R': the R script that renders the ECDF (empirical cumulative distribution function) plots in the paper.</li> </ul>
Tectono-stratigraphic and thermal evolution of the western Betic flysch: implications for the geodynamics of South Iberian margin and Alboran Domain
<p>Table and Figure from article "<strong>Tectono-stratigraphic and thermal evolution of the western Betic flysch: implications for the geodynamics of South Iberian margin and Alboran Domain" accepted to AGU, Tectonics</strong></p>
FIG. 10 in Climatic evolution in Western Europe during the Cenozoic: insights from historical collections using leaf physiognomy
FIG. 10. — Evolution of Mean Annual Temperature (MAT), Cold Month Mean Temperature (CMMT), Warm Month Mean Temperature (WMMT) and Mean Annual Precipitation (MAP) in Europe using CLAMP (black dots). For comparison, results obtained with CA are displayed in grey (adapted from Mosbrugger et al. 2005). Abbreviations: MEN, Menat; GEL, Gelinden; SEZ, Sézanne; CEL, Célas; ARM, Armissan; AIX, Aix-en-Provence; SB, Saint-Bauzile. Numerical values are from Table 3. For Gelinden, Sézanne and Armissan, the results from CLAMP analysis using Asia1 calibration are displayed. For all other localities, the results from CLAMP analysis using BR calibration are displayed.
FIG. 2 in Climatic evolution in Western Europe during the Cenozoic: insights from historical collections using leaf physiognomy
FIG. 2. — Gelinden paleoflora (mid- to late Selandian, Paleocene): A, Quercus odontophylla Saporta & Marion (IRSNB, 68151); B, Quercus loozi Saporta & Marion (IRSNB, 68170); C, Dryophyllum curticellense Saporta & Marion (IRSNB, 68384); D, Dryophyllum dewalquei Saporta & Marion (MNHN.F.13628); E, Quercus diplodon Saporta & Marion (MNHN.F.13644); F, Celastrophyllum sp. (Université de Liège, 2625); G, Dewalquea gelindenensis Saporta & Marion (IRSNB, 68142); H, Quercus palaeodrys Saporta & Marion (IRSNB, 68154); I, Cinnamomum ellipsoideum Saporta & Marion (MNHN.F.13677); J, Posidonia perforata Saporta & Marion (IRSNB, 68335); K, Aralia transversinervia Saporta & Marion (IRSNB, 68239); L, Aralia looziana Saporta & Marion (IRSNB, 68242); M, Litsea elatinervis Saporta & Marion (IRSNB, 68033); N, Pasianopsis retinervis Saporta & Marion (IRSNB, 67045); O, Mac-Clintockia heersiennsis Saporta & Marion (IRSNB, 68034); P, Salix longinqua Saporta & Marion (IRSNB, 68227). Scale bars: A, B: 1 cm; C-P, 2 cm.
Data from: Breaking Barriers? Ethnicity and socioeconomic background impact on early career progression in the fields of ecology and evolution
<p>The academic disciplines of Science, Technology, Engineering and Mathematics (STEM) have long suffered from a lack of diversity. While in recent years there has been some progress in addressing the underrepresentation of women in STEM subjects, other characteristics that have the potential to impact on equality of opportunity have received less attention. In this study, we surveyed 188 early career scientists (ECRs), defined as within ten years of completing their PhD, in the fields of ecology, evolutionary biology, behaviour, and related disciplines. We examined associations between ethnicity, age, sexual orientation, sex, socioeconomic background, and disability, with measures of career progression, namely publication record, number of applications made before obtaining a postdoc, type of contract, and number of grant applications made. We also queried respondents on perceived barriers to progression, and potential ways of overcoming them. Our key finding was that socioeconomic background and ethnicity were associated with measures of career progression. While there was no difference in the number of reported first-authored papers on PhD completion, ethnic minority respondents reported fewer other-authored papers. In addition, ECRs from a lower socioeconomic background were more likely to report being in teaching and research positions, rather than research only positions, the latter being perceived as more prestigious by some institutions. We discuss our findings in the context of possible inequality of opportunity. We hope that this study will stimulate wider discussion, and help to inform strategies to address the underrepresentation of minority groups in the fields of ecology and evolution, and STEM subjects more widely.</p>
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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.