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Fig. 17. Paraphemone multimaculata Gressitt, 1935 in To the knowledge of long-horned beetles (Coleoptera: Cerambycidae) of the Oriental Region (with new synonymy). Part 4
Fig. 17. Paraphemone multimaculata Gressitt, 1935
Machine-learning Generated Catalog of Long Period Variables from Palomar Gattini-Infrared Lightcurves
<pre>A catalog of LPVs obtained from a decision tree classifier trained on features extracted from Palomar Gattini-IR J band <br>lightcurves as described in Suresh et. al. 2024 (https://arxiv.org/abs/2402.08000).<br><br>Description of columns<br><br>1. 'Name' - Unique identifier for each LPV; internal designation of the object<br>2. 'RA' - Right ascension<br>3. 'Dec' - Declination<br>4. 'num_detections' - number of detections<br><br>Calculated features:<br>5. 'von_neumann_score' - von-Neumann score <br>6. 'gp_score' - Gaussian process regression fit score<br>7. 'slope_min' - minimum slope of the lightcurve<br>8. 'slope_max' - maximum slope of the lightcurve<br>9. 'ptp' - peak-to-peak amplitude <br>10. 'nflips' - number of flips<br>11. 'max_rate' - maximum point-wise slope <br>12. 'min_rate' - minimum point-wise slope 13. 'lcdur' - observation baseline<br>14. 'per_diff_90_50' - difference between 90th and 50th percentiles of J band magnitude<br>15. 'per_diff_95_50' - difference between 95th and 50th percentiles of J band magnitude <br>16. 'J' - Stetson J index<br>17. 'K_s' - Stetson K index, calculated as single band data<br>18. 'K_m' - Stetson K index, calculated as multi-band data <br>19. 'L_s' - Stetson L index, calculated as single band data 20. 'L_m' - Stetson L index, calculated as multi-band data<br>21. 'phase_chisq' - chi sq of sinusiod fit to phase folded lightcurve<br>22. 'phase_redchi' - reduced chi sq of sinusiod fit to phase folded lightcurve <br>23. 'phase_aic' - akaike information criterion of sinusiod fit to phase folded lightcurve <br>24. 'phase_bic' - bayesian information criterion of sinusiod fit to phase folded lightcurve 25. 'bestperiod' - best fit Lomb-Scargle period <br>26. 'bestperiod_1' - second most likely Lomb-Scargle period<br>27. 'bestperiod_2' - third most likely Lomb-Scargle period<br>28. 'LSscore' - Lomb-Scargle score of best period <br>29. 'LSscore_2' - Lomb-Scargle score corresponding to second best period 30. 'LSscore_3' - Lomb-Scargle score corresponding to third best period <br>31. 'amplitude' - J band amplitude <br>32. 'meanF' - mean predicted value from Lomb-Scargle fit <br>33. 'chi2' - chi sq of sinusoidal fit to lightcurve<br>34. 'redchi2' - reduced chi square of sinusoidal fit to lightcurve<br>35. 'rednullchi2' - reduced chi square of linear fit to lightcurve 36. 'nullchi2' - chi square of linear fit to lightcurve<br>37. 'maxperiod' - maximum period from Lomb-Scargle fit <br>38. 'linear_slope' - slope of linear fit to lightcurve<br>39. 'linear_intercept' - y-intercept of linear fit to lightcurve<br>40. 'J_mag' - mean J band magnitude<br>41. 'LSratio' - ratio of Lomb-Scargle score of two most promiment peaks in <br> Lomb-Scargle periodogram<br>42. 'chi2ratio' - ratio of reduced chi square of sinusoidal fit and reduced <br> chi square of linear fit to lightcurve <br>43. 'period_ratio' - ratio of best fit Lomb-Scargle period and <br> maximum Lomb-Scargle period<br>44. 'prob_lpv_sum' - machine-learning classifier LPV score (obtained by summing probability of LPV and type II LPV)<br><br>Color information: 45. 'w1mpro' - WISE W1 mag<br>46. 'w1sigmpro' - WISE W1 error <br>47. 'w2mpro' - WISE W2 mag<br>48. 'w2sigmpro' - WISE W2 error <br>49. 'w3mpro' - WISE W3 mag<br>50. 'w3sigmpro' - WISE W3 error 51. 'w4mpro' - WISE W4 mag<br>52. 'w4sigmpro' - WISE W4 error<br>53. 'j_m' - 2MASS J mag <br>54. 'j_msigcom' - 2MASS J error<br>55. 'h_m' - 2MASS H mag <br>56. 'h_msigcom' - 2MASS H error<br>57. 'k_m' - 2MASS K mag 58. 'k_msigcom' - 2MASS K error<br>59. 'J-H' - 2MASS J-H<br>60. 'J-K' - 2MASS J-K 61. 'W1-W2' - WISE W1-W2 <br>62. 'W3-W4' - WISE W3-W4 <br>63. 'W1-W4' - WISE W1-W4</pre>
Erroneous compensation for long-latency feedback delays as origin of Essential Tremor - Dataset
<p>Data associated with the publication "Erroneous compensation for long-latency feedback delays as origin of Essential Tremor" <a href="https://doi.org/10.1101/2024.01.11.575204" target="_blank" rel="noopener noreferrer"> 10.1101/2024.01.11.575204 </a></p>
Below-ground root nutrient-acquisition strategies are more sensitive to long-term grazing than above-ground leaf traits across a soil nutrient gradient
<p>Understanding how plant nutrient acquisition strategies respond to grazing at the community level is critical to understanding ecosystem structure and functioning in grasslands. However, few studies have simultaneously compared the difference in aboveground (leaf) and belowground (root) nutrient-acquisition strategies in response to long-term grazing, especially at the regional scale. Here, we measured a set of leaf and fine-root traits that correspond to the fast-slow economic spectrum at the community level in 10 experimental sites from paired grazed and ungrazed grasslands across a soil nutrient gradient covering three major types of grasslands in northern China. We found that patterns of variations of leaf and fine-root traits were consistent with both a leaf and root economic spectrum at the community level for both grazed and non-grazed plots. Grazing had a minor effect on community-level leaf nutrient-acquisition strategies but strongly influenced community-level root nutrient-acquisition strategies. Specifically, root nutrient-acquisition strategies were shifted to more exploitative resource use in grazed communities. Moreover, soil nutrients contributed to the changes in both leaf and root nutrient-acquisition strategies, which tended towards a more resource-acquisition strategy with increasing soil nutrient levels. Grazing significantly interacted with soil nutrients to affect root nutrient-acquisition strategies, and grazing contributed more to root nutrient-acquisition strategies than soil nutrients. Our results demonstrated completely inconsistent responses of community-level above- and below-ground resource acquisition strategies to long-term grazing, and below-ground acquisition strategies were more sensitive to long-term grazing. Our findings also suggest that high-intensity anthropogenic activities such as grazing may strongly modify below-ground resource acquisition strategies.</p>
Figure 1 in Diversity of short and long-horned grasshoppers of Arunachal Pradesh, India
Figure 1. Map of Arunachal Pradesh showing surveyed areas.
XPS measurements on long-term stability of organic radical thin films
<p>XPS raw data underlying Figures 1, 2, and 3 from the publication "Long-Term Degradation Mechanisms in Application-Implemented Radical Thin Films" (DOI: 10.1021/acsami.3c02057).</p>
Fig. 15. Cyardium variegatum Aurivillius, 1913 in To the knowledge of long-horned beetles (Coleoptera: Cerambycidae) of the Oriental Region (with new synonymy). Part 4
Fig. 15. Cyardium variegatum Aurivillius, 1913
Fig. 16 in To the knowledge of long-horned beetles (Coleoptera: Cerambycidae) of the Oriental Region (with new synonymy). Part 4
Fig. 16. Demodioides palawana (Schultze, 1934)
Fig. 6. Microrhodopina flavescens Breuning, 1982 in To the knowledge of long-horned beetles (Coleoptera: Cerambycidae) of the Oriental Region (with new synonymy). Part 4
Fig. 6. Microrhodopina flavescens Breuning, 1982
Fig. 4. Doliops frosti Schultze, 1923 in To the knowledge of long-horned beetles (Coleoptera: Cerambycidae) of the Oriental Region (with new synonymy). Part 4
Fig. 4. Doliops frosti Schultze, 1923
Fig. 11 in To the knowledge of long-horned beetles (Coleoptera: Cerambycidae) of the Oriental Region (with new synonymy). Part 4
Fig. 11. Agnia rita Barševskis, 2018
Fig. 8. Mynonebra opaca Fisher, 1925 in To the knowledge of long-horned beetles (Coleoptera: Cerambycidae) of the Oriental Region (with new synonymy). Part 4
Fig. 8. Mynonebra opaca Fisher, 1925
Fig. 18 in To the knowledge of long-horned beetles (Coleoptera: Cerambycidae) of the Oriental Region (with new synonymy). Part 4
Fig. 18. Parazosmotes shavrini Barševskis, 2020
Dataset for "Year-long optical time scale with sub-nanosecond capabilities"
<p>Dataset of the realization of an optical time scale (OTS) based on an hydrogen maser and an ytterbium optical lattice clock. Results discussed in Formichella et al., Year-long optical time scale with sub-nanosecond capabilities, <a href="https://doi.org/10.1364/OPTICA.509706">Optica 11, 4, 523 (2024)</a>.</p> <p> </p>
Fig. 1. a in Spirostomum teres: A Long Term Study of an Anoxic-Hypolimnion Population Feeding upon Photosynthesizing Microorganisms
Fig. 1. a) Temperature and b) photosynthetically active radiation profiles in Lake Alchichica.
Fig. 11 in Spirostomum teres: A Long Term Study of an Anoxic-Hypolimnion Population Feeding upon Photosynthesizing Microorganisms
Fig. 11. Spirostomum teres occurrence (%) in habitats defined by DO concentration (mgL–1).
Infrequent oceanic long-range dispersal and evolution of a top terrestrial arthropod predator in the sub-Antarctic
<p>The UNESCO world heritage sub-Antarctic terrestrial ecosystems are unique. They have been isolated for over 30 million years by constant circum-polar currents and winds, and shaped by climatic cycles that surpass the tolerance limits of many species. Despite this recognition, surprisingly little is known about how these ecosystems acquired their native terrestrial fauna and how it changed over deep time scales. Here the patterns and timing of colonization and speciation in the largest and dominant arthropod predators in the Eastern sub-Antarctic – spiders of the genus Myro – are demonstrated for the first time. Our results indicate that this lineage originated from Australia before the Plio-Pleistocenic glacial cycles and underwent an adaptive radiation on the Crozet archipelago. We discuss the gain and loss of pre-adaptations acting as filter that enabled only one of four Myro species native to the Crozet islands to repeatedly disperse via the Antarctic circum-polar current, resulting in an outstanding distribution range over 9000 kilometres. The results highlight the outstanding role of the volcanic Crozet archipelago for the evolution of arthropod life in the sub-Antarctic, and the potential of terrestrial macro-invertebrates to achieve rare but ecologically influential trans-oceanic dispersal events over thousands of kilometres under hostile conditions.</p>
Data rom: Stiffness anisotropy coordinates supracellular contractility driving long-range myotube-ECM alignment
<p>The ability of cells to organize into tissues with proper structure and function requires the effective coordination of proliferation, migration, polarization, and differentiation across length scales. Skeletal muscle is innately anisotropic; however, few biomaterials can emulate mechanical anisotropy to determine its influence on tissue patterning without introducing confounding topography. Here, we demonstrate that substrate stiffness anisotropy coordinates contractility-driven collective cellular dynamics resulting in C2C12 myotube alignment over millimeter-scale distances. When cultured on mechanically anisotropic liquid crystalline polymer networks (LCNs) lacking topography, C2C12 myoblasts collectively polarize in the stiffest direction. Cellular coordination is amplified through reciprocal cell-ECM dynamics that emerge during fusion, driving global myotube-ECM ordering. Conversely, myotube alignment was restricted to small local domains with no directional preference on mechanically isotropic LCNs of the same chemical formulation. These findings provide valuable insights for designing biomaterials that mimic anisotropic microenvironments and underscore the significance of stiffness anisotropy in orchestrating tissue morphogenesis.</p>
Long Cycle-Life Ca Batteries with Poly(anthraquinonylsulfide) Cathodes and Ca-Sn Alloy Anodes
<p>This is a collection featuring the data generated and used within the paper: "Long Cycle-Life Ca Batteries with Poly(anthraquinonylsulfide) Cathodes and Ca-Sn Alloy Anodes"</p>
A stocktaking of European mid- and long-term experiments dealing with the application of external organic matter (EJP SOIL - EOM4SOIL - D 3.1.1)
<p>Extending and optimizing recycling of organic wastes in agriculture is a key element in shifting conventional agriculture towards systems adapted to both energy depletion and climate change. Long-term field experiments (LTEs) play a crucial role in assessing and modelling the effects of repeated exogenous organic matter (EOM) application to soil, which allows to formulate locally adapted recommendations of use. <br>Nevertheless, a specific database focussing on LTEs dealing with organic fertilization in Europe were missing. To close this gap, we listed LTEs dealing with repeated application of EOM from existing online databases, and collected and harmonized all available metadata. The aim of this work was threefold: (1) to facilitate connections between comparable LTEs to foster data harmonization and compilation, (2) to map the diversity of pedoclimatic contexts and experimental designs in the LTE list and, (3) to highlight current knowledge gaps and research needs. <br>Data were collected from five online databases, allowing us to describe 201 LTEs. Key characteristics such as trial name, responsible institution, location, pedoclimatic context, duration, crop type and availability of online resources are well-described in contrast to LTE goal and owner contact, experimental design, soil type, studied EOM and monitored parameters (EOM characteristics, soil and crop properties), which are more difficult to gather and harmonize. The analysis of LTE metadata highlighted first that substantial harmonization efforts are required, particularly regarding the reporting of soil, crop and EOM properties over time. Second, the survey outlines that some European regions are poorly represented in the database, which may result either from an absence of LTE or from a lack of reporting. To close this gap, we call LTE managers to complete the current database with any missing relevant LTE or additional metadata, using the editable online repository attached to this document. In the future, improvement of predictive models could contribute to provide recommendations of EOM use to uncovered situations, whether in terms of soil, climate or type of EOM. Third, long-term effects on soil properties such as changes in soil biology composition or accumulation of organic contaminants (PFAS, microplastics, antibiotics, ...) appear to be poorly documented. LTEs have a key role to play in answering these emerging questions, having the potential to provide the rationale to fix acceptable thresholds in soils and EOMs for emerging pollutants and accordingly provide the best possible guidelines for the use of EOM in agriculture. </p> <p>See related report at <a href="https://doi.org/10.5281/zenodo.14161379" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.14161379</a>.</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.