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FIGURE 16 in Late Messinian mollusks and vertebrates from Moncucco Torinese, north-western Italy. Paleoecological and paleoclimatological implications
FIGURE 16. Relative abundances of the murid taxa within each murid assemblage of Moncucco Torinese.
Dataset for Resistance of Australian fish communities to drought and flood: implications for climate change and adaptations
<p>Data and code analyzing fish response to extreme drought and flood in Australia's Murray Darling Basin. Original fish data can be found here: <a href="https://www.gbif.org/dataset/f38cc07c-49a8-4ca4-8882-5cdde1733c12"><u>https://www.gbif.org/dataset/f38cc07c-49a8-4ca4-8882-5cdde1733c12</u></a>. Original rainfall data can be found here: http://www.bom.gov.au/climate/maps/rainfall/?variable=rainfall&map=totals&period=month®ion=nat&year=2004&month=01&day=31 </p>
Fig. 11 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 11. Plot of length versus distal articular width of Mc−III in some hipparions.
Fig. 6 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 6. Length versus width plot of Deinotherium M3s.
Fig. 1 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 1. Location map (A) and stratigraphic context (B) of the Yulafll localities.
Fig. 3 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 3. Length versus width plot of m1 in the genus Indarctos, showing continuous variation.
Fig. 5 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 5. Length versus width plot of Deinotherium P4s.
Fig. 7 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 7. Length versus width plot of Choerolophodon m3s.
Fig.12 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig.12. Length vs. width plot of p3s and p4s in Hippopotamodon antiquus and Microstonyx major.
Inlists for "Rethinking Thorne-Żytkow Object Formation: The Fate of X-ray Binary LMC X-4 and Implications for Ultra-long Gamma-ray Bursts"
<div> <div> <div> <p>We use the MESA Isochrones and Stellar Tracks (MIST) package (Dotter 2016; Choi et al. 2016) with MESA v7503 (Paxton et al. 2011, 2013, 2015) and mesasdk x86_64-linux-20141212 revision 245. </p> </div> </div> </div>
Shock induced Fe0 globules in Chang'E-5 impact melt splash and implication for the coalescence growth of microphase Fe0 in lunar soil
<p>The dataset includes all raw data (Table 1 to Table 3, Table S1 to S8) for the manuscript "Shock induced Fe0 globules in Chang’E-5 impact melt splash and implication for the coalescence growth of microphase Fe0 in lunar soil".</p>
Postseismic Deformation Due to the 2021 MW 7.4 Maduo (China) Earthquake and Implications for Regional Rheology and Seismic Hazards around the Bayan Har block
<p><span>input.sh: Model input file in RELAX to simulate the coupled afterslip and viscoelastic contributions in the study of Tian et al. (2024), EPSL</span></p> <p><span>****.txt: Observed postseismic time series following the 2021 MW 7.4 Maduo (China) Earthquake</span></p> <p> </p> <p><span>Title: Postseismic Deformation Due to the 2021 MW 7.4 Maduo (China) Earthquake and Implications for Regional Rheology and Seismic Hazards around the Bayan Har block</span></p>
Paleobathymetric reconstructions of the SW Barents Seaway and their implications for Atlantic–Arctic ocean circulation
<p>These files are the paleobathymetry and paleotopography reconstructions published in Lasabuda et al., 2023.</p> <p>There are five time slices,</p> <ol> <li>Base Lower Eocene (55 Ma)</li> <li>Base Middle Eocene (47 Ma)</li> <li>Base Oligocene (33 Ma)</li> <li>Base Miocene (23 Ma)</li> <li>Base Quaternary (2.7 Ma)</li> </ol> <p>They are in zmap with coordinate reference system ED50-UTM33.</p> <p> </p> <p>Reference to the article:</p> <p>Lasabuda, A.P.E., Hanssen, A., Laberg, J.S. <em>et al.</em> Paleobathymetric reconstructions of the SW Barents Seaway and their implications for Atlantic–Arctic ocean circulation. <em>Commun Earth Environ</em> <strong>4</strong>, 231 (2023). https://doi.org/10.1038/s43247-023-00899-y</p>
Figure 4 in Revision of Eocene warm-water cassid gastropods from coastal southwestern North America: implications for paleobiogeographic distribution and faunal-turnover
Figure 4. See caption on the bottom of page 11.
Figure 3 in Revision of Eocene warm-water cassid gastropods from coastal southwestern North America: implications for paleobiogeographic distribution and faunal-turnover
Figure 3. See caption on the bottom of page 7.
Figure 1 in Revision of Eocene warm-water cassid gastropods from coastal southwestern North America: implications for paleobiogeographic distribution and faunal-turnover
Figure 1. Index map of the coastal southwestern North America (CSWNA) region.
Table 1 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
<p><b>Table 1</b> Summary of data used as inclusion criteria for the 4 farms in the study</p><table><tbody><tr><th>Farm</th><th>Year</th><th>No. of heifers</th><th>No. of cows</th><th>Total no. of cattle</th><th>Liver condemnation (%)</th><th>BTM ELISA value (S/P%)a</th></tr></tbody><tbody><tr><th>C1</th><td>2011</td><td>72.5</td><td>176.5</td><td>314</td><td>6.2</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>65.5</td><td>184.5</td><td>303</td><td>21.3</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>65</td><td>187.5</td><td>315</td><td>30.0</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>63</td><td>183.5</td><td>312</td><td>18.6</td><td>179.3</td></tr><tr><th>C2</th><td>2011</td><td>103</td><td>135</td><td>292</td><td>8.3</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>98.5</td><td>145</td><td>300</td><td>11.9</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>105.5</td><td>144</td><td>314</td><td>16.1</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>111</td><td>149</td><td>331</td><td>19.4</td><td>181.2</td></tr><tr><th>O1</th><td>2011</td><td>145</td><td>172</td><td>367</td><td>2.6</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>141</td><td>168</td><td>362</td><td>7.6</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>124</td><td>174.5</td><td>354</td><td>33.3</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>172</td><td>183</td><td>425</td><td>23.3</td><td>221.4</td></tr><tr><th>O2</th><td>2011</td><td>90.5</td><td>113.5</td><td>251</td><td>18.1</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>97.5</td><td>124</td><td>275</td><td>32.6</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>111</td><td>131.5</td><td>282</td><td>27.7</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>113</td><td>133.5</td><td>285</td><td>38.1</td><td>206.9</td></tr></tbody></table><p><sup>a</sup> by IDEXX ELISA test (cut-off is 30 and ≥ 150S/P% is considered high)</p>
Table 2 in Clonal mechanisms that matter in Agave fourcroydes and A. sisalana invasions in drylands: implications for their management
<p><b>Table 2.</b> Standardized coefficients of the best-fitting Generalized Linear Mixed Models (GLMMs) explaining bulbil rooting success under the monitored conditions (natural conditions, and experimental plots). Three predictor variable types were considered (intrinsic mother plant and bulbil traits, and extrinsic bulbil traits). Species identity and plots were included as random factors. The best model was ranked according to AIC (Akaike Information Criterion) value (See also Table S5). Non-data cells indicate variables not included in a particular model.</p><table><tbody><tr><th></th><th>Intrinsic mother plant Extrinsic bulbil Extrinsic bulbil</th><th>Random factor</th></tr></tbody><tbody><tr><th>Sets of bulbils data</th><td>Intercept</td><td>traits Rosette Scape diameter height</td><td>traits Height</td><td>traits Position Buried</td><td>significance Species Plot identity</td></tr><tr><th>Monitored under natural conditions</th><td>0.936***</td><td>−0.064</td><td>0.034</td><td></td><td>0.799***</td><td>ns</td><td></td></tr><tr><th>Greenhouse plots</th><td>−3.805***</td><td></td><td></td><td>0.835***</td><td>3.427***</td><td>ns</td><td>ns</td></tr><tr><th>Natural conditions plots</th><td>−0.481***</td><td>0.124</td><td></td><td></td><td>1.897***</td><td>ns</td><td>ns</td></tr></tbody></table><p>Significance: *** <i>p-values</i> <0.001. ns: no significance</p>
Table 1 in Clonal mechanisms that matter in Agave fourcroydes and A. sisalana invasions in drylands: implications for their management
<p><b>Table 1.</b> Sampling goals, work stages and summary of data collected.</p><table><tbody><tr><th>Sampling goal</th><th>Phenology of flowering and bulbils and production of basal shoots</th><th>Estimation of bulbil production*</th><th>Estimation of shoot production from rhizomes</th><th>Estimation of rooting rates of bulbils under natural conditions</th><th>Estimation of the rooting rates of bulbils in experimental plots (greenhouse and natural conditions)*</th><th>Phenology of shoots production and rate of establishment of new individuals (rooted bulbils vs shoots from rhizomes)</th></tr></tbody><tbody><tr><th>Sampling unit</th><td>60 individuals (30 from Agave fourcroydes and 30 from | <i>A. sisalana</i>)</td><td>60 individuals (30 from Agave fourcroydes and 30 from <i>A. sisalana</i>)</td><td>8 individuals (4 from Agave fourcroydes, 4 from <i>A. sisalana</i>)</td><td>1,184 bulbils (582 from Agave fourcroydes, 602 from <i>A. sisalana</i>; 590 from early fall, 594 from late fall)</td><td>1,440 bulbils, 24 <i>from each of 60</i> individuals (30 from <i>Agave fourcroydes</i>, and 30 from <i>A. sisalana</i>)</td><td>10 plots 10 × 10 m</td></tr><tr><th>Monitored individual nature</th><td>Reproductive individuals with incipient floral scapes emerging from the rosette</td><td>Reproductive individuals with floral scapes at the stage of maximum bulbils production</td><td>Juvenile, i.e., prominent but not reproductive individuals</td><td>Mature bulbils fallen from the floral scapes</td><td>Mature bulbils fallen from the floral scapes</td><td>New young individuals</td></tr><tr><th>Traits measured</th><td>Height and</td><td>Height and</td><td>Number of</td><td>Height (cm)</td><td>Height (cm)</td><td>Origin: from</td></tr><tr><td>diameter of the rosette (cm) Height and</td><td>diameter of the rosette (cm) Height and</td><td>rhizomes Number of emerged shoots</td><td>Diameter (cm) Number of leaves</td><td>Diameter (cm) Number of leaves</td><td>rhizomes or rooted bulbils Presence of</td></tr><tr><td>diameter of the floral scape (cm)</td><td>diameter of the floral scape (cm)</td><td>from rhizomes</td><td>Number of preformed roots</td><td>Number of preformed roots</td><td>contractile roots</td></tr><tr><td>Number of scape branches</td><td>Number of bulbils by scape branches</td><td></td><td>Position (vertical or horizontal)</td><td>Rooted</td><td></td></tr><tr><td>% of branches with floral buds</td><td>Number of fallen bulbils</td><td></td><td>Buried or not</td><td></td><td></td></tr><tr><td>% of branches with flowers</td><td></td><td></td><td>Rooted</td><td></td><td></td></tr><tr><th>% of branches with bulbils</th></tr><tr><th>% of branches with fruits</th></tr><tr><th>% of branches with fallen bulbils</th></tr><tr><th>Number of basal shoots (born directly from the rosette)</th></tr><tr><th>Monitoring dates and frequency</th><td>February 2015– May 2016 (monthly)</td><td>October 2015</td><td>May–July 2015</td><td>October 2015– October 2016 (monthly)</td><td>January 2016– May 2016</td><td>February 2015– February 2016 (monthly)</td></tr></tbody></table><p>* The individuals selected for these two studies were the same.</p>
Genomic implications of the repeated shift to self-fertilization across a species' geographic distribution
<p>This is the dataset for the publication</p> <p><strong><span>Genomic implications of the repeated shift to self-fertilization across a species’ geographic distribution</span></strong></p> <p>by Kay Lucek, Jana Flury, Yvonne Willi</p> <p>published in the Journal of Heredity 10.1093/jhered/esae046</p> <p>Abstract</p> <div>The ability to self-fertilize often varies among closely related hermaphroditic plant species, though, variation can also exist within species. In the North American <em>Arabidopsis lyrata</em>, the shift from self-incompatibility (SI) to selfing established in multiple regions independently, mostly since recent postglacial range expansion. This has made the species an ideal model for the investigation of the genomic underpinnings of the breakdown of SI and its population genetic consequences. By comparing nearby selfing and outcrossing populations across the entire species’ geographic distribution, we investigated variation at the self-incompatibility (S-)locus and across the genome. Furthermore, a diallel crossing experiment on one mixed-mating population was performed to gain insight into the inheritance of mating system variation. We confirmed that the breakdown of SI had evolved in several S-locus backgrounds. The diallel suggested the involvement of biparental contributions with dominance relations. Though, the population-level genome-wide association study did not single out clear-cut candidate genes but several regions with one near the S-locus. On the implication side, selfing as compared to outcrossing populations had less than half of the genomic diversity, while the number and length of runs of homozygosity (ROHs) scaled with the degree of inbreeding. Selfing populations with a history of long expansion had the longest ROHs. The results highlight that mating system shift to selfing, its genetic underpinning and the likely negative genomic consequences for evolutionary potential can be strongly interlinked with past range dynamics.</div> <div> </div> <div> </div> <div>Please read the respective readme files for each dataset.</div>
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.