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743 results for “Drop”
Data supplement for "Drops of volatile binary mixtures on brush-covered substrates"
<p>This dataset contains supplementary data for the following publication:</p> <p>Diekmann, J. & Thiele, U.<br>Drops of volatile binary mixtures on brush-covered substrates<br>EPJ-ST: Vol. 233, p. 1615-1624, 2024<br>doi: 10.1140/epjs/s11734-024-01169-4</p> <p> </p> <p>We provide the data and sources necessary to generate figure 2.</p>
Data from: The importance of migratory drop-off for island colonization in birds
<p>Seasonal migration is an underappreciated driver of animal diversification. Changes in migratory behavior may favor the establishment of sedentary founder populations and promote speciation if there is sufficient reproductive isolation between sedentary and migratory populations. From a systematic literature review, we here quantify the role of migratory drop-off – the loss of migratory behavior – in promoting speciation in birds on islands. We identify at least 157 independent colonization events likely initiated by migratory species that led to speciation, including 44 cases among recently extinct species. By comparing, for all islands, the proportion of island endemic species that derived from migratory drop-off with the proportion of migratory species among potential colonizers, we showed that seasonal migration has a larger effect on island endemic richness than direct dispersal. We also found that the role of migration in island colonization increases with the geographic isolation of islands. Furthermore, the success of speciation events depends in part on species biogeographic and ecological factors, here positively associated with greater range size and larger flock sizes. These results highlight the importance of shifts in migratory behavior in speciation process and calls for greater consideration of migratory drop-off in the biogeographic distribution of birds.</p>
Drop Everything? Analyzing Developer Response to Fix a High Severity Dependency
<p>Although using third-party libraries has become prevalent in contemporary software development, prior work are all in agreement that developers struggle to update their dependencies. They often acknowledge that due to the migration effort, priority and other issues cause lags in the adoption process. On the other hand, with a vulnerability that has showstopping potential, we expect developers to drop everything! to fix the risk. In this new idea paper, we explore a case study of when Log4JShell, which has the highest ever reported severity of 10. Our goal is to analyze the developer response in relation to how fast they migrated to a safer version, and what were the information discussed while fixing this severe vulnerability.</p>
Gradient-dynamics model for liquid drops on elastic substrates
<p>Data sets corresponding to the results shown in "Gradient-dynamics model for liquid drops on elastic substrates".<br> Additionally, the scripts the plots were produced with.</p>
X-ray micro-computed tomography of mushrooms during the instant controlled pressure drop (DIC) combined hot air drying
<p>These videos present the microstructure evolution of the <em>shiitake </em>mushrooms during the instant controlled pressure drop (DIC) combined hot air drying as well as the comparison of the microstructure of dried mushrooms treated by different drying methods.</p> <p>Fresh-skin and fresh-lamella indicate fresh mushroom cubes including skin and lamella parts respectively.</p> <p>DIC-skin and DIC-lamella indicate DIC treated mushroom cubes including skin and lamella parts respectively.</p> <p>DIC-HA35 dried-skin, DIC-HA65 dried-skin, and HA35 dried-skin indicate mushroom cubes including skin parts that were dried by DIC combined hot air drying at 35 ℃, DIC combined hot air drying at 65 ℃ and hot air drying at 35 ℃, respectively.</p>
Data from: Forest hoverfly community collapse: abundance and species richness drop over four decades
<p>To study abundance trends in hoverflies (Diptera: Syrphidae) in a Dutch forest, we monitored hoverflies over the course of 4 decades. Within the ‘Boeschoten’ forest the same permanent route of approximately 3 kilometres was inspected for the presence of hoverflies in the second half of the morning (10:00-13:00), for a duration of approximately 2 hours. The forest was included up to 30 meters from the route to obtain a complete inventory of the ecosystem; a complete list of all present hoverflies was aimed for each time. Monitoring was done only on sunny days, independent from temperature. All observed specimens have been counted and collected with an insect net, species and sex identified in the field, or preserved for identification later on (with e.g. Barendregt 1978; van der Goot 1981; Bot & van de Meutter 2019; Speight et al. 2020). While monitoring started in 1974, it was only from 1979 onwards that complete species lists were kept, and from 1982 onwards that the number of observed individuals per species was recorded. Boeschoten is an (extensively used) agricultural enclave within large mixed deciduous-coniferous forests in the center of The Netherlands, 40-50 m a.m.s., west of the village of Garderen (52º13'24"N, 5º40'31"E). The sandy soil is very dry and open water is only available in some small pools. The selected forest sections (ca. 20 ha) are partly dominated by <em>Quercus</em> for hundreds of years, partly former heathlands planted with <em>Pinus </em>and <em>Pseudotsuga </em>in the period 1900-1950. Locally, other tree species (<em>Fagus, Larix</em>) dominate; in the shrub layer <em>Sorbus, Amelanchier,</em> and <em>Rhamnus</em> are important. In the ground layer <em>Vaccinium myrtillus </em>dominates at many locations, next to some <em>Rubus </em>along paths. The forest did not change for at least 60 years in land use or management: only the trees matured further (no new planting) and in the ground layer the vegetation changed in some species after the period of intense acid rain around 1985, when <em>Galium saxatile </em>and <em>Deschampsia flexuosa </em>decreased and <em>Rubus </em>increased in abundance. In the surroundings of Boeschoten there are some smaller arable fields; 5 km to the south and west there is intensive livestock farming. </p> <p>The file ‘counts.csv’ contains the counts per species per monitoring day. The file contains the following variables:</p> <p>date: date of monitoring (in the second half of the morning)</p> <p>Baccha.elongata and next 104 variables:</p> <p> number of observed individuals of a particular species per day of monitoring. Species lists were not complete in 1974-1978, hence the NAs when a species was not recorded in that period. Systematic counting started in 1982. Presence before 1982 is indicated with a ‘1’, meaning ‘at least 1’.</p> <p>observer: initials of the person responsible for a day of monitoring. AB = Aat Barendregt, TZ = Theo Zeegers, WS = Wouter van Steenis.</p> <p>temp: mean temperature in degrees Celsius between 10:00 and 13:00 (i.e. during the general time of monitoring) on the day of monitoring, based on hourly data from KNMI weather station Deelen.</p> <p>sun: mean proportion of time with direct sunlight between 10:00 and 13:00 (i.e. during the general time of monitoring) at the day of monitoring, based on hourly data from KNMI weather station Deelen.</p> <p>precip: total amount of precipitation in millimeters between 10:00 and 13:00 (i.e. during the general time of monitoring) at the day of monitoring, based on hourly data from KNMI weather station Deelen.</p> <p>relhumid: mean relative humidity (percentage) between 10:00 and 13:00 (i.e. during the general time of monitoring) at the day of monitoring, based on hourly data from KNMI weather station Deelen.</p> <p>T30d: mean temperature in degrees Celsius in the 30 days preceding the day of monitoring, based on daily data from KNMI weather station Deelen.</p> <p>S30d: mean proportion of time with direct sunlight in the 30 days preceding the day of monitoring, based on daily data from KNMI weather station Deelen.</p> <p>P30d: mean amount of precipitation (in millimeters) per day in the 30 days preceding the day of monitoring, based on daily data from KNMI weather station Deelen.</p> <p>Tapr: mean temperature in April of the year of monitoring, based on daily data from KNMI weather station Deelen.</p> <p>Sapr: mean proportion of time with direct sunlight in April of the year of monitoring, based on daily data from KNMI weather station Deelen.</p> <p>Papr: mean amount of precipitation (in millimeters) per day in April of the year of monitoring, based on daily data from KNMI weather station Deelen.</p> <p>seasonScore: day-of-the-year-specific GAM prediction of the total abundance of hoverflies, rescaled between 0 and 1</p>
Data publication for "Different earthquake nucleation conditions revealed by stress drop and b-value mapping in the northern Chilean subduction zone"
<p><strong>Abstract</strong>: b-value catalog data publication supplement for "Different earthquake nucleation conditions revealed by stress drop and b-value mapping in the northern Chilean subduction zone" (Folesky, (SciRep,2024), <a href="https://doi.org/10.1038/s41598-024-63015-w">https://doi.org/10.1038/s41598-024-63015-w</a>). b-vales were computed based on the IPOC seismic catalog for northern Chile (Sippl et al., 2023). b-values are computed only for events that have a known stress drop value, as assigned by Folesky et al., 2024. b-values are computed for the 200-1000 nearest neighbors of each event within a maximum distance of 50km using the maximum likelihood approach as implemented by T.Goebel (Geobel et al., 2017). Each seismotectonic class (Sippl et al., 2023) is processed separately. The standard deviation of the fit is obtained by 100 bootstrap iterations for each event while discarding randomly selected 10% of the neighbors.</p> <p><strong>File descriptions</strong>: table columns <br>ID, cls, Lon, Lat, Depth, Magntiude, a, b, Std<br>------------------<br>explanation<br>ID : origin time<br>cls : event class<br>Lon : longitude <br>Lat : latitude<br>Depth : depth in km<br>Magnitude : magnitude (MA)<br>a : a- value <br>b : b- value<br>Std : standard deviation from bootstrapping</p> <p><strong>References</strong>:</p> <p>Folesky, Jonas, (SciRep,2024), <a href="https://doi.org/10.1038/s41598-024-63015-w">https://doi.org/10.1038/s41598-024-63015-w</a></p> <p>Sippl, C., Schurr, B., Münchmeyer, J., Barrientos, S., Oncken, O. (2023): Catalogue of Earthquake Hypocenters for Northern Chile from 2007-2021 using IPOC (plus auxiliary) seismic stations. <a title="Follow link" href="https://doi.org/10.5880/GFZ.4.1.2023.004" target="_blank" rel="nofollow noopener">https://doi.org/10.5880/GFZ.4.1.2023.004</a></p> <p>Folesky, J., Pennington, CN., Kummerow J., Hofman LR. (JGR: Solid Earth, 2024) <a href="https://doi.org/10.1029/2023JB027549">https://doi.org/10.1029/2023JB027549</a></p> <p>Goebel, T. H., Kwiatek, G., Becker, T. W., Brodsky, E. E. & Dresen, G. What allows seismic events to grow big?: Insights from b-value and fault roughness analysis in laboratory stick-slip experiments. Geology 45, 815–818 (2017).</p>
Data Supplement for: "Gradient dynamics model for drops of volatile liquid on a porous substrate"
<p>This dataset contains supplementary data for the following preprint:</p> <p>Hartmann, S. & Thiele, U.<br>Gradient dynamics model for drops of volatile liquid on a porous substrate.<br>(submitted 2024)</p> <p>We provide the data and sources necessary to generate all figures in the paper.</p> <p>The figures are built either with LaTeX/TikZ (Figure 1) or Python/Matplotlib (all other figures).<br>Each subfolder contains the full source code and data for one figure each.</p>
Supplementary material 1 from: Lee T, Alemseged Y, Mitchell A (2018) Dropping Hints: Estimating the diets of livestock in rangelands using DNA metabarcoding of faeces. Metabarcoding and Metagenomics 2: e22467. https://doi.org/10.3897/mbmg.2.22467
Location of sample sites in south-western New South Wales, Australia. Location of study area shown as a rectangle on the map of Australia (insert). Names of states and territories are marked. Solid lines indicate state boundaries. Dashed line indicates the course of the Darling River. Dotted line indicates the course of the Great Darling Anabranch. Circles indicate sampling locations, squares indicate towns. Created using Inkscape 0.92.0 (https://inkscape.org/en/). Based on information from Geoscience Australia, Commonwealth of Australia 'National base map with external territories', (http://www.ga.gov.au/interactive-maps/#/theme/national-location-information/map/nationalmap) published under the Creative Commons license CC-By-Au.
Supplementary material 13 from: Lee T, Alemseged Y, Mitchell A (2018) Dropping Hints: Estimating the diets of livestock in rangelands using DNA metabarcoding of faeces. Metabarcoding and Metagenomics 2: e22467. https://doi.org/10.3897/mbmg.2.22467
Species level taxa (GenBank Data), at 3 minimum read depth. Underlined taxa were changed based on the distribution of taxa in the study zone.
Supplementary material 2 from: Lee T, Alemseged Y, Mitchell A (2018) Dropping Hints: Estimating the diets of livestock in rangelands using DNA metabarcoding of faeces. Metabarcoding and Metagenomics 2: e22467. https://doi.org/10.3897/mbmg.2.22467
Table displaying the closest matches on the BOLD database for the 24 reference samples for matK, rbcL and ITS2.
Supplementary material 15 from: Lee T, Alemseged Y, Mitchell A (2018) Dropping Hints: Estimating the diets of livestock in rangelands using DNA metabarcoding of faeces. Metabarcoding and Metagenomics 2: e22467. https://doi.org/10.3897/mbmg.2.22467
Species level taxa (BOLD Data), at 3 minimum read depth. Underlined taxa were changed based on the distribution of taxa in the study zone
Supplementary material 10 from: Lee T, Alemseged Y, Mitchell A (2018) Dropping Hints: Estimating the diets of livestock in rangelands using DNA metabarcoding of faeces. Metabarcoding and Metagenomics 2: e22467. https://doi.org/10.3897/mbmg.2.22467
Tests for normailty and equality of variance to establish whether conducting t-tests on the Dorper and Merino speccies and family level diversity data is appropriate.
Supplementary material 6 from: Lee T, Alemseged Y, Mitchell A (2018) Dropping Hints: Estimating the diets of livestock in rangelands using DNA metabarcoding of faeces. Metabarcoding and Metagenomics 2: e22467. https://doi.org/10.3897/mbmg.2.22467
Species level taxa (BOLD Data). Underlined taxa were changed based on the distribution of taxa in the study zone ('*' indicates that the column contains no taxa).
Supplementary material 11 from: Lee T, Alemseged Y, Mitchell A (2018) Dropping Hints: Estimating the diets of livestock in rangelands using DNA metabarcoding of faeces. Metabarcoding and Metagenomics 2: e22467. https://doi.org/10.3897/mbmg.2.22467
Shapiro-Wilk and Levene's tests exploring the appropriateness of the data for use in ANOVA or Kruskal-Wallis tests.
The role of local impedance drop in the acute lesion efficacy during pulmonary vein isolation performed with a new contact force sensing catheter – a pilot study
<p>The role of local impedance drop in the acute lesion efficacy during pulmonary vein isolation performed with a new contact force sensing catheter – a pilot study</p>
The olfactory chemosensory responses of male Oriental fruit fly with drops of volatile organic compounds.
<p>The olfactory chemosensory responses of male Oriental fruit fly with a drop of the following VOCs; ethanol (at 0.30 min), methyl eugenol (at 1.39 min), ethanol (at 3.05 min), white holy basil oil (at 4.10 min), ethanol (at 5.20 min), methyl eugenol (at 6.30 min), ethanol (at 7.36 min), and white holy basil oil (at 8.36 min).</p>
Figure 3 in Whole and nearly complete mitochondrial genomes of an endemic and endangered neotropical rabbit (Romerolagus diazi) assembled using non-invasive eDNA metagenomics (field droppings)
Figure 3. Phylogenetic analysis of Romerolagus diazi and related species in the family Leporidae. Totalevidence phylogenetic tree obtained from ML analysis based on a concatenated alignment of amino acids of the 13 protein-coding genes present in the mitochondrial genome of representatives of the family Leporidae. In the analysis, two species of the family Ochotonidae were used as the outgroup. Numbers above or below the branches represent bootstrap values. Photo credit: J.A. Guerrero.
Figure 2 in Whole and nearly complete mitochondrial genomes of an endemic and endangered neotropical rabbit (Romerolagus diazi) assembled using non-invasive eDNA metagenomics (field droppings)
Figure 2. Relative codon usage analysis for protein coding genes (PCGs) in the mitochondrial genome of Romerolagus diazi assembled from eDNA (field collected droppings, sample SRR14209493 [top] and SRR14209494 [bottom]).
Figure 1 in Whole and nearly complete mitochondrial genomes of an endemic and endangered neotropical rabbit (Romerolagus diazi) assembled using non-invasive eDNA metagenomics (field droppings)
Figure 1. Circular DNA mitochondrial genome map of Romerolagus diazi assembled from eDNA (field collected droppings, sample SRR14209493). The annotated map depicts 13 protein-coding genes (PCGs), two ribosomal RNA genes (rrnS: 12S ribosomal RNA and rrnL: 16S ribosomal RNA), 22 transfer RNA (tRNA) genes, and the putative control region (not annotated). Photo credit: J.A. Guerrero.
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Allen Brain Atlas
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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.