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19,493 results for “Populism”
Supplementary Dataset for the paper "Population suppression with dominant female-lethal alleles is boosted by homing gene drive"
<p>Supplementary Dataset for the paper "Population suppression with dominant female-lethal alleles is boosted by homing gene drive"</p>
FIGURE 4 in New occurrences of the endangered Notholebias minimus (Cyprinodontiformes: Rivulidae) in coastal plains of the State of Rio de Janeiro, Brazil: populations features and conservation
FIGURE 4 | Length-weight relationship of Notholebias minimus (N = 43).
Source population and time spent in captivity affect survival and reproduction of long-distance translocated northern bobwhites
<p>Northern bobwhites (<em>Colinus virginianus</em>) have become a species of great conservation priority because of widespread and ongoing population declines. Long-distance translocations are becoming increasingly used to access a source population with densities high enough to support translocation. Two key uncertainties exist regarding the efficacy of long-distance translocations: choosing a source population with adaptations that will be successful in a novel environment and mitigating the stress response common during the translocation process. We translocated bobwhites from the South Texas Plains and the Floridian Coastal Plain to a recipient site in the Floridian Coastal Plain in 2021 and 2022 to compare the survival and productivity of bobwhites translocated from two different source populations. We also evaluated how varying holding times during the translocation process influenced the success of the translocated individuals. Breeding season survival, nest propensity, and fecundity were greater for Florida resident and Florida translocated bobwhites relative to Texas translocated bobwhites. We observed high rates of mortality during the transport and holding processes, but holding time did not affect breeding season survival of Texas translocated bobwhites. Both nest success and fecundity of Texas translocated bobwhites were negatively affected by holding time. Bobwhites translocated long distances may have the adaptive capacity to be successful in novel environments, but the consequences of translocation stress can be detrimental. Future translocation planning should consider choosing source populations from similar ecoregions to simultaneously decrease translocation distances and potential stress from translocation.</p>
Prescribed Burn Related Increases of Population Exposure to PM2.5 and O3 Pollution in the Southeastern US over 2013–2020
<p>Daily prescribed burn PM2.5 and MDA8-O3</p>
Population Dynamics of a Subpopulation of Lion-tailed Macaques in a Rainforest Fragment, in the southern Western Ghats of India
<p>The dataset includes absolute group counts of five groups of lion-tailed macaques inhabiting the Puthuthottam forest fragment of Valparai, Tamil Nadu, India. The counts were conducted over a period of three years between 2018-2020 at six-monthly intervals. </p>
FRB Mock Catalog and Reproduction Package for "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"
<h3>Quickstart: FRB Mock Catalog</h3> <p>A simulated 1-day catalog of one-off FRBs, that allows users to access the FRB population without installing the entire frbpoppy package. Download and unzip 1_Day_FRB_Sky_on_Earth.txt.zip (175 MB). This human and machine readable file contains 3.5E6 FRBs that are brighter than 0.01 Jy ms, the best limit in one-off FRB detection currently. The simulated catalog is produced by the perfect telescope in frbpoppy, free of selection effects, that observed 4pi of sky for 24 hrs, with minimum detectable fluence 0.01 Jy ms, for the best-fit no-delay SFR model. This file can be read using the accompanying jupyter notebook "starting_with_mock_catalog.ipynb".</p> <p>If you use this, please cite Wang & van Leeuwen 2024 (A&A), <a href="https://doi.org/10.1051/0004-6361/202450673">https://doi.org/10.1051/0004-6361/202450673</a></p> <h3>Reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"</h3> <p>ReproductionPackage.zip is a basic reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin" by Wang & van Leeuwen (2024).</p> <p> * arXiv: [<a href="https://arxiv.org/abs/2405.06281">2405.06281</a>] <br> * DOI: [<a href="https://doi.org/10.1051/0004-6361/202450673">10.1051/0004-6361/202450673</a>] </p> <h3>Installation</h3> <p>First pull or download and `frbpoppy` from <https://github.com/TRASAL/frbpoppy>.<br>Then download `ReproductionPackage.zip` and extract it starting in the frbpoppy/ base directory.<br>The scripts to produce the Figures are found in folder `frbpoppy/tests/markov_chain_monte_carlo/`.<br>The data used for these Figures resides in folder `frbpoppy/data/populations/mcmc/`.</p> <h3>Software</h3> <p>The methods and software packages used to produce the results are listed in the paper (including links to the relevant publications and/or packages):<br> FRBPOPPY: <https://github.com/TRASAL/frbpoppy><br> TRASAL: <https://github.com/TRASAL></p> <h3>Raw Data</h3> <p>The data are publicly available at<br> https://www.wis-tns.org/</p> <p> </p>
Silva, Harder et al. Detectability of runs of homozygosity is influenced by analysis parameters and population-specific demographic history Data
<p>Dataset used in the "Detectability of runs of homozygosity is influenced by analysis parameters and population-specific demographic history" paper by Silva, Harder et al.</p> <p>This dataset includes Fasta files for Simulated dataset and VCF files for both Empirical and Simulated datasets.</p>
Figure 1 in Sexual size dimorphism in Rana (Pelophylax) ridibunda ridibunda Pallas, 1771 from a population in Darre-Shahr Township, Ilam Province, western Iran
Figure 1. Map showing the study area in Ilam province, western Iran.
Figure 2. A in Field surveys in Western Panama indicate populations of Atelopus varius frogs are persisting in regions where Batrachochytrium dendrobatidis is now enzootic
Figure 2. A pair of Atelopus varius in amplexus, found in the mountains of Western Panama.
New York State Synthetic Population
<p><span>The synthetic population includes nearly 20 million individuals and 7.5 million households in the whole New York State using the PUMS from 2021 5-year ACS. The marginals obtained from the synthetic population well matches the census marginals. When coming to attribute combinations, the synthetic population can still generally follow what the input sample depict. In addition, the synthetic population reconstructs the associations among household members that the input sample shows.</span></p> <p><span>We propose a population synthesis framework that involves both the deterministic model and ciDATGAN to generate households and corresponding personal synthetic populations. The framework is illustrated in the figure below.</span></p> <p><span></span></p> <p> </p> <p><span>A wide range of socio-demographic variables are included, and the variables selected for this study can be found in Table 1. We aggregate categories of some attributes deemed too granular, such as age and working industry (NAICS). To capture potential spatial heterogeneity of the population between New York City (NYC) and non-NYC regions, we separate PUMS by filtering regions within and outside of NYC using the Public Use Microdata Areas (PUMAs). </span></p> <p><span>Because NYC is the most densely populated region in the US with high population diversity, we want higher population resolutions. Therefore, we further assign the NYC specific PUMS from PUMA level to Census Tract (CT) levels by using Popgen.</span></p> <p><span>Table 1. Selected attributes of input samples</span></p> <div> <table> <tbody> <tr> <td> </td> <td> <p><em><span>Non-NYC region attribute (label name)</span></em></p> </td> <td> <p><em><span>No. of values (range if continuous)</span></em></p> </td> <td> <p><em><span>NYC region attribute (label name)</span></em></p> </td> <td> <p><em><span>No. of values</span></em></p> </td> </tr> <tr> <td> <p><em><span>Household attribute</span></em></p> </td> <td> <p><span>Residence area (PUMA)</span></p> </td> <td> <p><span>90</span></p> </td> <td> <p><span>Residence area (CT)</span></p> </td> <td> <p><span>2313</span></p> </td> </tr> <tr> <td> <p><span>Income level (HINCP)</span></p> </td> <td> <p><span>9</span></p> </td> <td> <p><span>Income level (HINCP)</span></p> </td> <td> <p><span>9</span></p> </td> </tr> <tr> <td> <p><span>Vehicle ownership (VEH)</span></p> </td> <td> <p><span>4</span></p> </td> <td> <p><span>Vehicle ownership (VEH)</span></p> </td> <td> <p><span>4</span></p> </td> </tr> <tr> <td> <p><em><span>Personal attribute</span></em></p> </td> <td> <p><span>Age (AGEP)</span></p> </td> <td> <p><span>7</span></p> </td> <td> <p><span>Age (AGEP)</span></p> </td> <td> <p><span>7</span></p> </td> </tr> <tr> <td> <p><span>English proficiency (ENG)</span></p> </td> <td> <p><span>5</span></p> </td> <td> <p><span>English proficiency (ENG)</span></p> </td> <td> <p><span>5</span></p> </td> </tr> <tr> <td> <p><span>Commute trip length (JWMNP)</span></p> </td> <td> <p><span>0-140 min</span></p> </td> <td> <p><span>Gender (SEX)</span></p> </td> <td> <p><span>2</span></p> </td> </tr> <tr> <td> <p><span>Commute mode (JWTRNS)</span></p> </td> <td> <p><span>13</span></p> </td> <td> <p><span>Disability (DIS)</span></p> </td> <td> <p><span>2</span></p> </td> </tr> <tr> <td> <p><span>School status (SCH)</span></p> </td> <td> <p><span>3</span></p> </td> <td> <p><span>Working industry (NAICSP)</span></p> </td> <td> <p><span>2</span></p> </td> </tr> <tr> <td> <p><span>Gender (SEX)</span></p> </td> <td> <p><span>2</span></p> </td> <td> <p><span>Race white/non-white (RACWHT)</span></p> </td> <td> <p><span>2</span></p> </td> </tr> <tr> <td> <p><span>Disability (DIS)</span></p> </td> <td> <p><span>2</span></p> </td> <td> </td> <td> </td> </tr> <tr> <td> <p><span>Working industry (NAICSP)</span></p> </td> <td> <p><span>20</span></p> </td> <td> </td> <td> </td> </tr> <tr> <td> <p><span>Race white/non-white (RACWHT)</span></p> </td> <td> <p><span>2</span></p> </td> <td> </td> <td> </td> </tr> </tbody> </table> <p> </p> </div>
Population in Jakarta 2022 (Source form: Central Bureau of Statistics)
<p>The population pyramid graph above illustrates the population distribution in Jakarta in 2022. The 0-4 age group has a larger population compared to several age groups above it. The 30-34 age group has a slightly larger male population (388,746) than the female population (431,768). For the 65+ age group, the male and female populations are relatively balanced with slightly more females.</p> <p>This population pyramid shows a young population structure, with a wider base in the younger age group (0-19 years) and then starting to narrow in the older age group. This is an indication that Jakarta still has a fairly young population with the potential for a large population in the future.</p>
Sample metadata and supplementary tables for "Genomics identifies koala populations at risk across Eastern Australia"
<p>All metadata for the koala genomes deposited on NCBI under BioProject <span>PRJNA940526. Runs of homozygosity size classes and Gene Ontology terms provided as excel files.</span></p>
Table 1 in Seasonal mite population distribution on Caryocar brasiliense trees in the Cerrado domain
<p><b>Table 1.</b> Number of mites (cm 2 of leaf) or per fruit, diversity and species richness (cm 2 of leaf/tree), temperature (°C), rainfall (mm), relative humidity of air (%), sunlight (h), and velocity of wind (m/sec) (average ± SE) according to the season of the year on <i>Caryocar brasiliense</i>. Montes Claros, Minas Gerais State, Brazil.</p><table><tbody><tr><th></th><th></th><th><b>Season of the year</b></th><th></th></tr></tbody><tbody><tr><th><b>Mites/cm</b> <b>2</b> <b>of leaf</b></th><td></td><td></td><td></td><td></td></tr><tr><th></th><td><b>Summer</b></td><td><b>Autumn</b></td><td><b>Winter</b></td><td><b>Spring</b></td></tr><tr><th>Acari n.s.</th><td>0.0019 ± 0.0007A</td><td>0.0066 ± 0.0018A</td><td>0.0019 ± 0.0009A</td><td>0.0000 ± 0.0000A</td></tr><tr><th><i>Agistemus</i> sp. *</th><td>0.0086 ± 0.0021AB</td><td>0.0139 ± 0.0032A</td><td>0.0019 ± 0.0011B</td><td>0.0026 ± 0.0014B</td></tr><tr><th><i>Eutetranychus</i> sp. n. s.</th><td>0.0000 ± 0.0000A</td><td>0.0013 ± 0.0007A</td><td>0.0008 ± 0.0008A</td><td>0.0000 ± 0.0000A</td></tr><tr><th><i>Histiostoma</i> sp. **</th><td>0.0376 ± 0.0094C</td><td>0.0834 ± 0.0094A</td><td>0.0675 ± 0.0093B</td><td>0.0598 ± 0.0157B</td></tr><tr><th><i>Proctolaelaps</i> sp. **</th><td>0.0010 ± 0.0007B</td><td>0.0156 ± 0.0061A</td><td>0.0022 ± 0.0012B</td><td>0.0000 ± 0.0000B</td></tr><tr><th><i>Tetranychus</i> sp.1 **</th><td>0.0059 ± 0.0018AB</td><td>0.0150 ± 0.0034A</td><td>0.0124 ± 0.0041A</td><td>0.0000 ± 0.0000B</td></tr><tr><th><i>Tetranychus</i> sp.2 n.s.</th><td>0.0017 ± 0.0010A</td><td>0.0060 ± 0.0018A</td><td>0.0038 ± 0.0016A</td><td>0.0011 ± 0.0008A</td></tr><tr><th><b>Mites/fruit</b></th></tr><tr><th><i>Histiostoma</i> sp. *</th><td>76.76 ± 18.67A</td><td>0.00 ± 0.00B</td><td>0.00 ± 0.00B</td><td>0.00 ± 0.00B</td></tr><tr><th><i>Proctolaelaps</i> sp. *</th><td>2.80 ± 0.79A</td><td>0.00 ± 0.00B</td><td>0.00 ± 0.00B</td><td>0.00 ± 0.00B</td></tr><tr><th><b>Ecological indices</b></th></tr><tr><th>Diversity**</th><td>3.82 ± 1.02AB</td><td>5.19 ± 1.36A</td><td>3.54 ± 0.87AB</td><td>1.96 ± 0.32B</td></tr><tr><th>Species richness*</th><td>2.70 ± 0.65AB</td><td>3.60 ± 0.71A</td><td>2.70 ± 0.73AB</td><td>1.60 ± 0.26B</td></tr><tr><th><b>Variables</b></th></tr><tr><th>Temperature**</th><td>24.10 ± 0.11B</td><td>22.16 ± 0.30C</td><td>22.78 ± 0.23C</td><td>25.05 ± 0.27A</td></tr><tr><th>Rainfall**</th><td>5.15 ± 0.73B</td><td>1.04 ± 0.35B</td><td>1.03 ± 0.40B</td><td>22.48 ± 7.59A</td></tr><tr><th>Humidity*</th><td>75.80 ± 1.21A</td><td>64.31 ± 1.51B</td><td>52.36 ± 0.98C</td><td>63.97 ± 2.80B</td></tr><tr><th>Sunlight**</th><td>5.98 ± 0.32B</td><td>8.33 ± 0.16A</td><td>8.06 ± 0.20A</td><td>6.84 ± 0.56B</td></tr><tr><th>Wind**</th><td>2.48 ± 0.29A</td><td>1.80 ± 0.02B</td><td>2.30 ± 0.06A</td><td>2.12 ± 0.03AB</td></tr></tbody></table><p>Means followed by the same letter (average ± SE) in each row are not different by the test of Tukey (* = P<0.01 and ** = P <0.05).Freedom degree: mites/leaf = 5281, mites/fruit = 2184, ecological indices = 27, and climatic data = 72, “n.s.” = non-significant data.</p>
Table 1 in Predation and oviposition potential of Brazilian populations of the predatory mite Amblyseius tamatavensis (Acari: Phytoseiidae) on eggs of Bemisia tabaci (Insecta: Hemiptera)
<p><b>Table 1</b> Sites and plants where the populations of <i>Amblyseius tamatavensis</i> were collected in Brazil (May 2015 to May 2016).</p><table><tbody><tr><th>Populations</th><th><b>Substrate</b></th></tr></tbody><tbody><tr><th>1.Olho d’Água das Flores (Alagoas)</th><td><i>Ipomoea pes-caprae</i> (Convolvulaceae)</td></tr><tr><th>2.Jataí (Goiás)</th><td>Several plants</td></tr><tr><th>3.Nova Crixás (Goiás)</th><td>Several plants</td></tr><tr><th>4.Bom Repouso (Minas Gerais)</th><td>Several plants</td></tr><tr><th>5.Ituiutaba (Minas Gerais)</th><td>Several plants</td></tr><tr><th>6.Senador Amaral (Minas Gerais)</th><td>Several plants</td></tr><tr><th>7.Campinas (São Paulo)</th><td><i>Psidium guajava</i> (Myrtaceae)</td></tr><tr><th>8.Cananéia (São Paulo)</th><td><i>Persea americana</i> (Lauraceae)</td></tr><tr><th>9.Mogi Guaçu (São Paulo)</th><td><i>Citrus</i> sp. (Rutaceae)</td></tr><tr><th>10.Piracicaba, ESALQ (São Paulo)</th><td><i>Gossypium</i> sp. (Malvaceae)</td></tr><tr><th>11.Piracicaba, Areão (São Paulo)</th><td><i>Rosa</i> sp. (Rosaceae)</td></tr><tr><th>12.Saltinho (São Paulo)</th><td><i>Cocos nucifera</i> (Arecaceae)</td></tr><tr><th>13.Santa Maria da Serra (São Paulo)</th><td>Several plants</td></tr><tr><th>14. Laboratory</th><td><i>Capsicum annuum</i> (Solanaceae)</td></tr></tbody></table>
Table 3 in Predation and oviposition potential of Brazilian populations of the predatory mite Amblyseius tamatavensis (Acari: Phytoseiidae) on eggs of Bemisia tabaci (Insecta: Hemiptera)
<p><b>Table 3</b> Daily means (± standard error of the mean) of eggs of <i>Bemisia tabaci</i> killed and eggs laid by adult female of populations of <i>Amblyseius tamatavensis</i> collected in different Brazilian municipalities.</p><table><tbody><tr><th><b>Collection sites</b></th><th><b>Predation</b></th><th><b>Oviposition</b></th></tr></tbody><tbody><tr><th>Olho d’água das Flores</th><td>7.9 ± 0.7 a</td><td>1.2 ± 0.2 a</td></tr><tr><th>Laboratório</th><td>7.0 ± 0.4 b</td><td>1.1 ± 0.3 ab</td></tr><tr><th>Jataí</th><td>6.5 ± 0.4 c</td><td>0.8 ± 0.1 c</td></tr><tr><th>Saltinho</th><td>6.5 ± 0.3 c</td><td>1.0 ± 0.1 b</td></tr><tr><th>Mogi-Guaçu</th><td>6.5 ± 0.3 c</td><td>0.8 ± 0.0 c</td></tr><tr><th>Piracicaba - Fazenda Areão</th><td>6.5 ± 0.2 c</td><td>1.0 ± 0.2 b</td></tr><tr><th>Senador Amaral</th><td>6.5 ± 0.1 c</td><td>0.9 ± 0.3 bc</td></tr><tr><th>Bom Repouso</th><td>6.3 ± 0.3 cd</td><td>0.9 ± 0.2 bc</td></tr><tr><th>Ituiutaba</th><td>6.3 ± 0.2 cd</td><td>0.8 ± 0.1 c</td></tr><tr><th>Campinas</th><td>6.3 ± 0.2 cd</td><td>1.0 ± 0.1 b</td></tr><tr><th>Cananéia</th><td>6.3 ± 0.1 cd</td><td>0.9 ± 0.2 bc</td></tr><tr><th>Santa Maria da Serra</th><td>6.1 ± 0.4 d</td><td>0.8 ± 0.1 c</td></tr><tr><th>Piracicaba - ESALQ</th><td>6.0 ± 0.5 d</td><td>0.9 ± 0.1 bc</td></tr><tr><th>Nova Crixás</th><td>5.0 ± 0.3 e</td><td>0.7 ± 0.2 c</td></tr></tbody></table><p>For each column, rates followed by the same letter are not statistically different (Kruskal-Wallis ANOVA; Dunn´s test).</p>
oceanus: Populations of stellar streams in deforming MW--LMC systems - I
<p>We publish o<em>ceanus,</em> the t = 0 Gyr simulation snapshots of all 16,384 streams in each MW--LMC potential used in<em> </em>Brooks, R. A. N et al. (2024)<em>.</em> The first part of the archived data includes:</p> <ul> <li><strong>rigid-mw-woutmotion-nolmc.hdf5</strong> - dataset for the stream population generated in the "Rigid MW without motion (no LMC)" potential.</li> <li><strong>rigid-mw-wmotion-nolmc.hdf5</strong> - dataset for the stream population generated in the "Rigid MW + motion (no LMC)" potential.</li> <li><strong>rigidmono-wlmc.hdf5 </strong>- dataset for the stream population generated in the "Rigid Monopole & LMC" potential.</li> <li><strong>evolmono-wlmc.hdf5</strong> - dataset for the stream population generated in the "Evolving Monopole & LMC" potential.</li> </ul> <p>Each stream contains 20,000 particles with 3-D Galactocentric positions and velocities, plus progenitor information on its initial conditions, mass and scale radius. We do not include summary statistic values. The functions to calculate stream summary statistics will be shared upon reasonable request. This dataset can be used to explore the effect of the LMC and the MW halo response on MW streams.</p> <p>The basis function expansion MW--LMC potentials can be found and installed using instruction at:<em> </em><a href="https://github.com/sophialilleengen/mwlmc" target="_blank" rel="noopener">https://github.com/sophialilleengen/mwlmc</a>.</p>
oceanus: Populations of stellar streams in deforming MW--LMC systems - II
<p>We publish o<em>ceanus,</em> the t = 0 Gyr simulation snapshots of all 16,384 streams in each MW--LMC potential used in Brooks, R. A. N et al. (2024)<em>.</em> The second part of the archived data includes:</p> <ul> <li><strong>monodipole-wlmc.hdf5 </strong>- dataset for the stream population generated in the "Monopole + Dipole & LMC" potential.</li> <li><strong>monoquad-wlmc.hdf5 </strong>- dataset for the stream population generated in the "Monopole + Quadrupole & LMC" potential.</li> <li><strong>monodipolequad-wlmc.hdf5 </strong>- dataset for the stream population generated in the "Monopole + Dipole + Quadrupole & LMC" potential.</li> <li><strong>fullexp-nolmc.hdf5 </strong>- dataset for the stream population generated in the "ull Expansion & LMC" potential.</li> <li><strong>fullexp-wlmc.hdf5 </strong>- dataset for the stream population generated in the "ull Expansion (no LMC)" potential.</li> </ul> <p>Each stream contains 20,000 particles with 3-D Galactocentric positions and velocities, plus progenitor information on its initial conditions, mass and scale radius. We do not include summary statistic values. The functions to calculate stream summary statistics will be shared upon reasonable request. This dataset can be used to explore the effect of the LMC and the MW halo response on MW streams.</p> <p>The basis function expansion MW--LMC potentials can be found and installed using instruction at: <a href="https://github.com/sophialilleengen/mwlmc" target="_blank" rel="noopener">https://github.com/sophialilleengen/mwlmc</a>.</p>
Table 1 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations
<p><i>Table 1.</i> Mean and median life expectancies (in years, with 95% confidence intervals) for bottlenose dolphins in zoological care as calculated by Kaplan-Meier analyses.</p><table><tbody><tr><th>Time period</th><th>Median LE (CI)</th><th>Mean LE (CI)</th></tr></tbody><tbody><tr><th>1974–1982</th><td>9.0 (5.9–11.4)</td><td>10.6 (8.8–12.5)</td></tr><tr><th>1983–1992</th><td>15.3 (12.5–17.1)</td><td>17.3 (15.2–19.4)</td></tr><tr><th>1993–2002</th><td>18.2 (14.1–20.3)</td><td>20.3 (18.0–22.5)</td></tr><tr><th>2003–2012</th><td>29.2 (25.0–32.9)</td><td>28.2 (25.3–31.0)</td></tr></tbody></table>
TABLE 1 in Nesting evidence, density and vocalisations in a resident population of Savannah Sparrow Passerculus sandwichensis wetmorei in Guatemala
<p>TABLE 1 Mean (± SD) and range of signal characteristics of songs of breeding Savannah Sparrows <i>Passerculus sandwichensis wetmorei</i> in PRM Todos Santos Cuchumatán, dpto. Huehuetenango, Guatemala, in June 2016, <i>n</i> = 37 songs of four males.</p><table><thead><tr><th><b>Song section (see Fig. 5)</b></th><th><b>Duration (seconds)</b></th><th><b>Peak frequency (kHz)</b></th></tr></thead><tbody><tr><th>Entire song (<i>n</i> = 37)</th><td>2.5 ± 0.3 (2.1–3.1)</td><td></td></tr><tr><th>Introduction:</th><td></td><td></td></tr><tr><th><i>Chip</i> note (<i>n</i> = 97)</th><td>0.06 ± 0.01 (0.04–0.12)</td><td>7.906 ± 202 (6.938 –8.250)</td></tr><tr><th>Middle section:</th><td></td><td></td></tr><tr><th>Descending whistle (DW1) (<i>n</i> = 37)</th><td>0.10 ± 0.01 (0.08–0.11)</td><td>6.927 ± 132 (6.750 –7.125)</td></tr><tr><th>Trill (n = 37)</th><td>0.05 ± 0.01 (0.03–0.06)</td><td>6.471 ± 1.268 (4.125 –7.500)</td></tr><tr><th>Double <i>ch</i> note (<i>n</i> = 37)</th><td>0.08 ± 0.004 (0.07–0.10)</td><td>5.063 ± 378 (3.188 –5.625)</td></tr><tr><th>Dominant section:</th><td></td><td></td></tr><tr><th>Buzz (<i>n</i> = 37)</th><td>0.60 ± 0.06 (0.5–0.8)</td><td>6.456 ± 646 (4.688 –6.938)</td></tr><tr><th>Terminal section:</th><td></td><td></td></tr><tr><th>Descending whistle (DW2) (<i>n</i> = 37)</th><td>0.08 ± 0.005 (0.07–0.09)</td><td>7.566 ± 222 (7.313 –8.063)</td></tr><tr><th>Trill-whistle (n = 37)</th><td>0.29 ± 0.07 (0.16 – 0.39)</td><td>4.074 ± 355 (3.375 –4.313)</td></tr></tbody></table>
Seasonality and inter-annual stability in the population genetic structure of Batrachospermum gelatinosum (Rhodophyta)
<p>Data used for Shainker-Connelly et al. in biorxiv: https://www.biorxiv.org/content/10.1101/2024.09.20.614195v1</p>
ScienceDex guides
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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.