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52 results for “present-day”
Neandertal ancestry through time: Insights from genomes of ancient and present-day humans
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FIGURE 5 in The Cainozoic to present-day record of Circum-Mediterranean, NE Atlantic and North Sea Cantharidinae and Trochinae (Trochoidea, Gastropoda)-a synopsis
FIGURE 5. Cainozoic species diversity of Cantharidinae and Trochinae (red bars) compared with the stable isotope record (δ18O) of Zachos et al. (2001), which can roughly be read as climate record. Important geodynamic and climatic events are given in yellow (MMCO = Middle Miocene Climate Optimum, MSC = Messinian Salinity Crisis). No clear relation between global climate, geodynamic events and trochid evolution can be deduced form the data. Note that the endemic Sarmatian radiation is not shown in the figure.
FIGURE 3 in The Cainozoic to present-day record of Circum-Mediterranean, NE Atlantic and North Sea Cantharidinae and Trochinae (Trochoidea, Gastropoda)-a synopsis
FIGURE 3. Contribution of species per genus in stratigraphic intervals and geographic regions (based on table 2); abbreviations: Anc. = Anceps, Cal. = Callumbonella, Clanc. = Clanculus, Clel. = Clelandella, Gib. = Gibbula, Gibuli. = Gibbuliculus, Gib. s.l, = Gibbula s.l., Gib. s.l. (Sarm) = Sarmatian Gibbula s.l., Jujub. = Jujubinus, Kish. = Kishinewia, Lesp. = Lesperonia, Pago. = Pagodatrochus, Paro. = Paroxystele, Phor. = Phorcus, Phorcul. = Phorculus, Roll. = Rollandiana, Sarm. = Sarmatigibbula, Sinz. = Sinzowia, Stero. = Steromphala, Timi. = Timisia.
FIGURE 2 in The Cainozoic to present-day record of Circum-Mediterranean, NE Atlantic and North Sea Cantharidinae and Trochinae (Trochoidea, Gastropoda)-a synopsis
FIGURE 2. Stratigraphic occurrence and species numbers for Cantharidinae and Trochinae for the entire geographic regions discussed herein. Insert shows Eastern Paratethyan endemic genera.
FIGURE 1 in The Cainozoic to present-day record of Circum-Mediterranean, NE Atlantic and North Sea Cantharidinae and Trochinae (Trochoidea, Gastropoda)-a synopsis
FIGURE 1. Chronostratigraphy after Gradstein et al. (2012) with regional Paratethys stages after Popov et al. (2004)
FIGURE 4 in The Cainozoic to present-day record of Circum-Mediterranean, NE Atlantic and North Sea Cantharidinae and Trochinae (Trochoidea, Gastropoda)-a synopsis
FIGURE 4. Comparison of the molecular phylogeny of Uribe et al. (2017a) (grey bars are 95% confidence intervals) and assumed serigraphic distributions based on the fossil record (in orange).
FIGURE 7 in The Cainozoic to present-day record of Circum-Mediterranean, NE Atlantic and North Sea Cantharidinae and Trochinae (Trochoidea, Gastropoda)-a synopsis
FIGURE 7. Eocene to present-day Cantharidinae: 7A1–A2. Amonilea parnensis (Bayan, 1870), Eocene, Lutetian, FontenaySaint-Père (France), MNHN.F.J02025; 7B1–B2. Anceps anceps (Eichwald, 1850), late Miocene, Bessarabian, Kertsch (Russia), NHMW 2020/0050/0001; 7C1–C2. Anceps papilla (Eichwald, 1850), late Miocene, Bessarabian, Jenikale Kertsch (Russia), NHMW 2020/0050/0004; 7D1–D2. Callumbonella suturalis (Philippi, 1836), present-day, Alboran Sea, reproduced from Go-
FIGURE 6 in The Cainozoic to present-day record of Circum-Mediterranean, NE Atlantic and North Sea Cantharidinae and Trochinae (Trochoidea, Gastropoda)-a synopsis
FIGURE 6. Fossil record of extant species; only a small number of the 85 extant Cantharidinae and 9 Trochinae species can be traced back to the late Miocene.
A global expert elicitation on present-day human-fire interactions: data & analysis code
<p>These files support "A global expert elicitation on present-day human-fire interactions", accepted for publication in the Philosophical Transactions of the Royal Society B. doi: <span>10.1098/rstb.2023-0463</span></p> <p>The files contain data from a survey of experts on human-fire interactions as well as code used to process and analyse it.</p> <p>An overview of the files is given below. </p> <h2><strong>1) Data</strong></h2> <p>Raw survey data are provided by geographic region ("GFUS_region"). Data processed to produce analyses in the associated paper are provided as "GFUS_Processed".</p> <p>Columns in data files are named by the question of the survey that generated them (Q1b through Q90). The contents of the associated questions that were asked are given in the data_dictionary.xlsx file.</p> <p>- GFUS_spatial provides the data merged with a shapefile of the survey regions. </p> <p>- "Gov_compare" and "LIFE_SH_fire" provide files to compare survey data with the DAFI and LIFE literature meta-analyses (see Supplementary 3 to the main text).</p> <p>- Question meta-data and question-summary provides an overview of the questions, as well as a topline overview of the numbers of responses and internal coherence (entropy) of survey responses. </p> <h2>2) Code</h2> <p>4 scripts are provided. </p> <p>- Firstly the script that was used to summarise survey responses by geographic region (Summarise_by_region)<br>- Secondly the code used to conduct statistical tests presented in the paper<br>- Thirdly the code used to produce plots in the paper<br>- Fourthly the code used to produce topline descriptive statistics presented in the paper</p>
FIGURE 1 in Extant genus of flat bark beetle (Coleoptera: Silvanidae) with a present-day Australian-southern South American disjunction discovered in Eocene Rovno amber
FIGURE 1. Austronausibius aenigmatista sp. nov., holotype, 6816 [MAIG]: A—habitus, dorsal view; B—habitus, ventral view; C—details of left posterior pronotal and anterior elytral sides, black arrow indicates humeral denticle. Scale bars represent 1.0 mm (A, B) or 0.5 mm (C).
Distribution. SE Brazil (in the states of Espirito Santo, neighboring E Minas Gerais, and extreme N Rio de Janeiro), the distribution may be at least partly limited by the Rio Jequitinhonha to the N, but probably intergrades with distributions of the Blackfronted Titi (C. nigrifrons) to the S and W and the Southern Bahian Titi (C. melanochir) to the N. The exact present-day limits of the distribution of C. personatus are unclear. in Phitheciidae
Distribution. SE Brazil (in the states of Espirito Santo, neighboring E Minas Gerais, and extreme N Rio de Janeiro), the distribution may be at least partly limited by the Rio Jequitinhonha to the N, but probably intergrades with distributions of the Blackfronted Titi (C. nigrifrons) to the S and W and the Southern Bahian Titi (C. melanochir) to the N. The exact present-day limits of the distribution of C. personatus are unclear.
Women in Limnology: from a historical perspective to a present-day evaluation
<p>Data presented in the manuscript "Women in Limnology: from a historical perspective to a present-day evaluation", authored by the Gender and Science Group of the Iberian Association of Limnology and published in the journal <em>WIREs Water</em> in 2022. </p> <p>There is two datasets:</p> <p><strong>Annex1:</strong> Table containing the name, bibliography and relevant contributions of 73 female limnologists. The selected limnologists are from different countries, periods, and disciplines; and were chosen because of their relevance in the field.</p> <p><strong>Annex3:</strong> Representation of female limnologists as (1) presidents of academic sociaties (year 2021), (2) plenary speakers in conferences, (3) senor and junior awardees and (4) members of journal editorial boards. bbreviations for societies and conferences are: AFL, Association Françoise de Limnologie; AIL, Asociación Ibérica de Limnología; ASLO, Association for the Sciences of Limnology and Oceanography; DGL, German Limnological Society; EFFS, European Federation for Freshwater Sciences; PTH, Polish Hydrobiological Society; SEFS, Symposium for European freshwater Sciences; SFS, Society for Freshwater Sciences; SGHL, Swiss Hydrological & Limnology Society; SIL, International Society of Limnology; SIL‐Austria, Austrian Limnological Association; and TLS, Turkish Limnological Society</p>
Phylogeny and systematics of Sphaeriusidae (Coleoptera: Myxophaga): minute living fossils with underestimated past and present-day diversity
<p>Complete specimen morphology data and sequences used for the analyses.</p>
Supporting Dataset for the study "Influence of Floodplains and Groundwater Dynamics on the Present-Day Climate simulated by the CNRM Model"
<p>This archive contains the data used in the study "Influence of Floodplains and Groundwater Dynamics on the Present-Day Climate simulated by the CNRM Model" submitted to <a href="https://www.earth-system-dynamics.net/">Earth System Dynamics</a>.</p> <p> </p>
Research data related to the article "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)"
<p><strong>Research Data related to the publication "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)" by Seibert et al. (2023) published in <em>Water Resources Research</em> </strong></p> <p>Dear reader,</p> <p>research data are provided for the article "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)" by Seibert et al. (2023). The authors hope that the research data allows for a better understanding of the paleo-modeling workflow. Feedback on the model files or questions regarding the modeling approach etc. can be addressed to the authors of the article, see contact details below. The research data comprises the following files:</p> <ul> <li>files related to the parameter estimation procedure using PEST (Doherty, 2021a,b) (see subfolder "<em>parameter_estimation</em>")</li> <li>iMOD-Python (Visser and Bootsma, 2019) scripts to create the iMOD-WQ (Verkaik et al., 2021) input files for each model variant. Note that model variants consist of several time slice models, indicated by the corresponding file names, e.g., '<em>Model_BC_slice_01.py'</em> etc. (see '<em>scripts.zip</em>' in the subfolders 'Model BC', 'Model CP', 'Model NE-ND-NP', 'Model NE-NP', 'Model NG', 'Model NP', 'Model R1', 'Model R2', 'Model R3', 'Model R4', 'Model R5', 'Model R6', 'Model SS')</li> <li>simulation output files, including concentration and head data for each model stress period (3-D), mean/max. concentration and head data for each model stress period (2-D), as well as depth [mbgs] of different salinity interfaces (2-D), i.e., marking the transitions from fresher to more saline groundwater using thresholds of 0.45 ('<em>depth_interface_mbgs</em>'), 1, 5, 10 and 20 g TDS L<sup>-1</sup>, respectively (see subfolders '<em>output/npy_arrays'</em> within each model variant subfolder). Moreover, sea levels, time slice names and stress period numbers are provided in the '<em>output/npy_arrays'</em> subfolders as well as final concentrations and heads (3-D) for each time slice model of each model variant (e.g., '<em>Model_BC_slice_01_final_concentrations.npz</em>' and '<em>Model_BC_slice_01_final_heads.npz</em>'; see '<em>output.zip'</em> in the model variant subfolders)</li> <li>iMOD-Python (Visser and Bootsma, 2019) input files, such as digital elevation models, geologic models etc. (see subfolder '<em>imod_input'</em>). However, in most cases no consent for re-distribution of these data sets exists, and they cannot be made freely available through this publication. Please, consult the corresponding meta-data files or get in touch with one of the authors for further information</li> <li>bash scripts for the execution of iMOD-Python .py- and iMOD-WQ .run-files in a linux environment (see subfolder '<em>bash_scripts'</em>)</li> <li>figure files as well as the corresponding .py and .m scripts and shape-files, where applicable (see subfolder '<em>figures'</em>); note that consent for re-distribution for some figure input files doesn't exist, compare corresponding meta-data files</li> <li>videos presenting the concentration evolution of the different model variants (vertically averaged concentrations & cross-sectonal view, see subfolder '<em>videos'</em>)</li> </ul> <p>Meta-data files are usually provided with data files in the different subfolders for clarification.</p> <p>iMOD-WQ (Verkaik et al., 2021) input data and .run-files were executed on the University Oldenburg High-Performance Cluster 'Carl', running simulations in parallel with 32 computational cores.</p> <p>Further information on the iMOD suite can be found here: https://deltares.github.io/iMOD-Documentation/</p> <p>Literature:</p> <p>Doherty, J. E., (2021a). PEST Model-Independent Parameter Estimation User Manual Part I: PEST, SENSAN and Global Optimisers. Watermark Numerical Computing. p.394.</p> <p>Doherty, J. E. (2021b). PEST Model-Independent Parameter Estimation User Manual Part II: PEST Utility Support Software. Watermark Numerical Computing. p.274.</p> <p>Verkaik, J., Hughes, J. D., van Walsum, P. E. V., Oude Essink, G. H. P., Lin, H. X., & Bierkens, M. F. P. (2021). Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument. Environmental Modelling & Software, 143, p.105092.</p> <p>Visser, M., & Bootsma, H. (2019). iMOD-Python: Work with iMOD MODFLOW models in Python. Retrieved from https://imod.xyz/</p> <p><strong>If you have further questions, please, contact one of the following authors</strong>: Stephan L. Seibert (stephan.seibert@uol.de), Janek Greskowiak (janek.greskowiak@uol.de) or Gudrun Massmann (gudrun.massmann@uol.de)</p>
High-resolution quasi-idealized experiments for future and present-day based upon composites from a decades-long set of recurving landfalling (RCL) North Atlantic ET cases
<p>We present a high-resolution quasi-idealized experiment based upon composites from a decades-long set of recurving landfalling (RCL) North Atlantic extratropical transition (ET) cases. Following Jung and Lackmann (2021), we apply the track-based classification method of Colbert and Soden (2012) to the historical database (1979 to 2018) of North Atlantic RCL ET events; recurving landfalling tropical cyclones (TCs) are defined as those which cross 70°W north of 25°N or cross 65W north of 40N and threaten the U.S. East Coast. We use the Atlantic Hurricane Database (HURDAT2) best-track data (Landsea and Franklin 2013); the track-based classification procedure yields 37 RCL ET cases over the 40-year period. To minimize the spread of the selected ET cases in terms of time to complete transition, we apply a threshold of 36 h as in Jung and Lackmann (2021). As HURDAT2 only specifies when transition is complete but does not provide the timeline of the transition, we supplement it with the cyclone phase space (CPS) method of Hart (2003) to diagnose onset and completion times of ET; ET events are first identified by HURDAT2 and then we compute the CPS parameters to confirm the ET timeline for each event using the ERA5 reanalysis dataset (Hersbach et al. 2020). This filtering process yields 21 RCL ET cases. This dataset is initialized by randomized 15-case composites selected from the 21 RCL ET cases as in Jung and Lackmann (2021). This dataset was used to produce figures and tables in the manuscript of Jung and Lackmann (2023, in review). </p> <p>Due to storage limitations, the full dataset is much too large to be published (~ 500GB). Instead, a subset consisting of 3-hourly atmospheric temperature at 17 vertical levels, zonal and meridional wind at 17 vertical levels, 3 hourly accumulated precipitation, mean sea level pressure, 10-m zonal and meridional wind, sea surface temperature, and relative humidity at 17 vertical levels is presented. If you wish to access the full dataset, please contact one of the authors. </p>
Data from: Present-day genetic structure of Atlantic salmon (Salmo salar) in Icelandic rivers and ice-cap retreat models
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Data from: Minimal effects of latitude on present-day speciation rates in New World birds
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Dual expansion routes likely underlie the present-day population structure in a Parnassius butterfly across the Japanese Archipelago
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High-resolution quasi-idealized experiments for future and present-day based upon composites from a decades-long set of recurving landfalling (RCL) North Atlantic ET cases
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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.