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256 results for “Aedes aegypti”

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zenodo36/100

Effects of marking, chilling and mechanical separation on the blood feeding success, fecundity and fertility of wMel-infected Aedes aegypti.

<p>In field trial II (Nausori 2019), mosquitoes were sampled from the emergence cages (rearing control), after cold-immobilization at 4&deg;C for 30 minutes (immobilization control) and at the end of UAV flights (aerial). Collected mosquitoes were sorted into cages of 50 females and 15 males. Females were allowed to blood feed and the blood feeding success was determined. Blood fed females were kept and allowed to oviposit and fecundity is shown as eggs per female. Eggs were hatched and larvae were counted 48 hours post hatching to determine fertility. Statistical analysis was performed using ordinary one-way ANOVA. NS = Not statistically significant and ND = Not done.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Percentage survival of wMel-infected Aedes aegypti in UAV trial II in Nausori, Fiji (2019)

<p><span>Triplicates samples of approximately 100-200 mosquitoes were collected from the emergence cages (rearing control), after cold immobilization at 4&deg;C for 30 minutes (immobilization control), and after the end of each flight. Survival % was compared to that of the rearing control and statistical analysis was performed using ordinary one-way ANOVA, unless otherwise specified in the data sheet. NS = Not statistically significant and ND = Not done</span></p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Fig. 1 in Seasonal oviposition activity of Aedes aegypti (Diptera: Culicidae) in San Miguel de Tucumán, northwestern Argentina

Fig. 1. Aerial photograph of the study area in San Miguel de Tucumán, northwestern Argentina.

opencc-by-4.0Dec 2015View details →
zenodo36/100

Fig. 1 in Synthesis of new α-amino nitriles with insecticidal action on Aedes aegypti (Diptera: Culicidae)

Fig. 1. Structures of insecticide agents and molecules studied in this work.

opencc-by-4.0Feb 2018View details →
zenodo36/100

Updated annotation for Aedes aegypti reference genome AaegL5 with extended 3' UTRs

<p>Updated annotation file for the AaegL5 genome generated and used in the Adavi et al. 2024 <em>bioRxiv </em>preprint: https://doi.org/10.1101/2024.08.21.608847</p> <p>Key updates (to VectorBase-55_AaegyptiLVP_AGWG.gff) include:</p> <ul> <li>Addition of several chemoreceptors that were annotated in previous work</li> <li>Automated extension of 3' UTRs (by up to 750bp) for all genes where supported by antennal neuron snRNAseq data</li> <li>Further manual extension of 3'UTRs for some chemoreceptors where supported by antennal neuron snRNAseq data</li> </ul> <p>For more information on this annotation and the way it was generated, please see the Methods section of the above preprint.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Table 1 in Momordica charantia L. extracts against Aedes aegypti larvae

<p><b>Table 1.</b> Duration of development (A) and mortality (B) of <i>Aedes aegypti</i> in L3 larvae treated in a rearing environment with crude ethyl acetate extract (AcOEt) from the flowers and fruits of Momordica charantia.</p><table><thead><tr><th><b>Application</b></th><th colspan="2"><b>Larval (days)</b></th><th></th><th></th><th><b>Pupal (days)</b></th><th></th><th colspan="2"><b>L3-Adult (days)</b></th><th></th></tr></thead><tbody><tr><th><b>1A</b></th><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td></td><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td></td><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td></td></tr><tr><th>Control</th><td>12.2&plusmn;2a</td><td>4-15</td><td></td><td>1.7&plusmn;0.5a</td><td>1-3</td><td></td><td>13.5&plusmn;1.8a</td><td>5-16</td><td></td></tr><tr><th>Testimony</th><td>11&plusmn;2b</td><td>6-14</td><td></td><td>2.3&plusmn;0.7b</td><td>1-4</td><td></td><td>13&plusmn;1.9ab</td><td>9-15</td><td></td></tr><tr><th>100 &micro;g/mL</th><td>7&plusmn;1.2c****</td><td>5-8</td><td></td><td>2.8&plusmn;0.9b</td><td>2-5</td><td></td><td>11&plusmn;1.8c***</td><td>8-13</td><td></td></tr><tr><th>200 &micro;g/mL</th><td>10&plusmn;1.4bc</td><td>9-11</td><td></td><td>3&plusmn;1.4b</td><td>2-4</td><td></td><td>13&plusmn;2.8ab</td><td>11-15</td><td></td></tr><tr><th></th><td></td><td><b>L3</b></td><td></td><td></td><td><b>L4</b></td><td></td><td></td><td><b>Pupa</b></td><td></td></tr><tr><th><b>1B</b></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th></th><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td><b>%</b></td><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td><b>%</b></td><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td><b>%</b></td></tr><tr><th>Control</th><td>0 &plusmn; 0a</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0.3 &plusmn; 0.5</td><td>13-13</td><td>1.7</td></tr><tr><th>Testimony</th><td>0 &plusmn; 0ab</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th>100 &micro;g/mL</th><td>17 &plusmn; 1.0c***</td><td>2-7</td><td>86.7</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th>200 &micro;g/mL</th><td>19 &plusmn; 1.0d***</td><td>2-5</td><td>96.7</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr></tbody></table><p>Experiments with 20 <i>A. aegypti</i> larvae (L3) for each test and control group were performed in triplicate and with three repetitions. Mean and standard deviation (X &plusmn;SD).Range (R). Values followed by the same letter do not present significant differences. Significance levels through the Tukey test, represented as ****P&lt;0.0001; ***P&lt;0.0001.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 3 in Momordica charantia L. extracts against Aedes aegypti larvae

<p><b>Table 3.</b> Duration of the development (A) and mortality (B) of <i>Aedes aegypti</i> in L3 larvae treated in a rearing environment with crude methanol (MeOH) extract from the flowers and fruits of <i>Momordica charantia</i>.</p><table><thead><tr><th><b>Application</b></th><th colspan="2">Larval (days)</th><th></th><th colspan="2">Pupal (days)</th><th></th><th colspan="2"><b>L3-Adult (days)</b></th><th></th></tr></thead><tbody><tr><th><b>3A</b></th><td>X &plusmn; SD</td><td>R</td><td></td><td>X &plusmn; SD</td><td>R</td><td></td><td>X &plusmn; SD</td><td><b>R</b></td><td></td></tr><tr><th>Control</th><td>13.2&plusmn;1.9a</td><td>5-16</td><td></td><td>1.7&plusmn;0.6a</td><td>1-3</td><td></td><td>14.5&plusmn;1.8a</td><td>6-17</td><td></td></tr><tr><th>Testimony</th><td>11.8&plusmn;1.9b</td><td>6-14</td><td></td><td>1.6&plusmn;0.6b</td><td>1-4</td><td></td><td>13.5&plusmn;1.8b</td><td>7-16</td><td></td></tr><tr><th>100 &micro;g/mL</th><td>11.2&plusmn;1.9b</td><td>7-13</td><td></td><td>2.1&plusmn;0.4c**</td><td>2-4</td><td></td><td>13.4&plusmn;1.7b</td><td>9-15</td><td></td></tr><tr><th>200 &micro;g/mL</th><td>8.5&plusmn;0.9c****</td><td>7-11</td><td></td><td>4.5&plusmn;2.2d****</td><td>1-7</td><td></td><td>13&plusmn;2.5b</td><td>9-15</td><td></td></tr><tr><th></th><td></td><td>L3</td><td></td><td></td><td>L4</td><td></td><td></td><td><b>Pupa</b></td><td></td></tr><tr><th><b>3B</b></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th></th><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td><b>%</b></td><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td><b>%</b></td><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td><b>%</b></td></tr><tr><th>Control</th><td>0a</td><td>0</td><td>0</td><td>0a</td><td>0</td><td>0</td><td>0.3 &plusmn; 0.5a</td><td>13-13</td><td>1.7</td></tr><tr><th>Testimony</th><td>0ab</td><td>0</td><td>0</td><td>0ab</td><td>0</td><td>0</td><td>0ab</td><td>0</td><td>0</td></tr><tr><th>100&micro;g/mL</th><td>0.3 &plusmn; 0.5ab</td><td>1-1</td><td>1.7</td><td>2 &plusmn; 3ab</td><td>6-6</td><td>10</td><td>0.3 &plusmn; 0.5ab</td><td>1-1</td><td>3.3</td></tr><tr><th>200&micro;g/mL</th><td>13 &plusmn; 4c***</td><td>1-6</td><td>70</td><td>1 &plusmn; 0ab</td><td>1-2</td><td>8.3</td><td>1 &plusmn; 1ab</td><td>2-2</td><td>1.7</td></tr></tbody></table><p>Experiments with 20 <i>Ae. aegypti</i> larvae (L3) for each test and control group were performed in triplicate and with three repetitions. Mean and standard deviation (X &plusmn; SD).Range (R). Values followed by the same letter do not present significant differences.Significance levels through the Tukey test, represented as **** P&lt;0.0001; ***P&lt;0.001; **P &lt;0.01 vs testimony control MeOH:DMSO (1:3).</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 2 in Momordica charantia L. extracts against Aedes aegypti larvae

<p><b>Table 2.</b> Duration of development (A) and mortality (B) of <i>Aedes aegypti</i> in L3 larvae treated in a rearing environment with crude ethyl acetate extract (AcOEt) from the flowers and fruits of Momordica charantia.</p><table><thead><tr><th><b>Application</b></th><th colspan="2"><b>Larval (days)</b></th><th></th><th colspan="2"><b>Pupal (days)</b></th><th></th><th colspan="2"><b>L3-Adult (days)</b></th><th></th></tr></thead><tbody><tr><th><b>2A</b></th><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td></td><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td></td><td><b>X &plusmn; SD</b></td><td><b>R</b></td><td></td></tr><tr><th>Control</th><td>11.7&plusmn;4.8&ordf;</td><td>2-23</td><td></td><td>2.8&plusmn;0.7a</td><td>1-5</td><td></td><td>14.4&plusmn;4.9a</td><td>5-25</td><td></td></tr><tr><th>Testimony</th><td>12.5&plusmn;3.1ab</td><td>7-19</td><td></td><td>2.9&plusmn;0.6ab</td><td>2-4</td><td></td><td>15.3&plusmn;3.3ab</td><td>9-22</td><td></td></tr><tr><th>1 &micro;g/mL</th><td>13.1&plusmn;4.4ab</td><td>5-22</td><td></td><td>2.4&plusmn;0.8ac*</td><td>1-4</td><td></td><td>15.7&plusmn;4.5ab</td><td>8-24</td><td></td></tr><tr><th>10 &micro;g/mL</th><td>10&plusmn;1.9ac**</td><td>7-15</td><td></td><td>3&plusmn;1.5ab</td><td>1-9</td><td></td><td>12.9&plusmn;2.8ac*</td><td>8-21</td><td></td></tr><tr><th>50 &micro;g/mL</th><td>8.1&plusmn;1.7c****</td><td>5-11</td><td></td><td>2.6&plusmn;0.8ab</td><td>1-4</td><td></td><td>10.8&plusmn;1.9d****</td><td>8-14</td><td></td></tr><tr><th></th><td></td><td><b>L3</b></td><td></td><td></td><td><b>L4</b></td><td></td><td></td><td><b>Pupa</b></td><td></td></tr><tr><th><b>2B</b></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th></th><td>X &plusmn; SD</td><td>R</td><td>%</td><td>X &plusmn; SD</td><td>R</td><td>%</td><td>X &plusmn; SD</td><td>R</td><td><b>%</b></td></tr><tr><th>Control</th><td>0.3 &plusmn; 0.5&ordf;</td><td>1-1</td><td>3.3</td><td>0.3 &plusmn; 0.5a</td><td>1-1</td><td>1.7</td><td>0.3 &plusmn; 0.5a</td><td>1-1</td><td>1.7</td></tr><tr><th>Testimony</th><td>0.3 &plusmn; 0.5ab</td><td>1-1</td><td>1.7</td><td>0a</td><td>0-0</td><td>0</td><td>1 &plusmn; 0a</td><td>1-1</td><td>5</td></tr><tr><th>1 &micro;g/mL</th><td>1 &plusmn; 1ab</td><td>1-3</td><td>6.7</td><td>2 &plusmn; 2a</td><td>1-4</td><td>10</td><td>0a</td><td>0</td><td>0</td></tr><tr><th>10 &micro;g/mL</th><td>2 &plusmn; 3ab</td><td>1-5</td><td>10</td><td>1.2 &plusmn; 1a</td><td>1-2</td><td>5</td><td>0.3 &plusmn; 0.5a</td><td>1-1</td><td>2</td></tr><tr><th>50 &micro;g/mL</th><td>8 &plusmn; 4c**</td><td>3-12</td><td>40</td><td>3 &plusmn; 0.5a</td><td>2-3</td><td>13.3</td><td>0.3 &plusmn; 0.5a</td><td>1-1</td><td>3.5</td></tr></tbody></table><p>Experiments with 20 <i>A. aegypti</i> larvae (L3) for each test and control group were performed in triplicate and with three repetitions. Mean and standard deviation (X &plusmn;SD).Range (R). Values followed by the same letter do not present significant differences. Significance levels through the Tukey test, represented as ****P&lt;0.0001; **P&lt;0.01; *P&lt;0.1 vs testimony control AcOEt:DMSO (1:3).</p>

opencc-by-4.0Dec 2022View details →
dryad36/100

Larval site characteristics of mosquito Aedes aegypti in La Lope, Gabon

<p>This dataset is described and analyzed in the paper: "Xia, S., Dweck, H. K. M., Lutomiah, J., Sang, R., McBride, C. S., Rose, N. H., Ayala, D., &amp; Powell, J. R. (2021). Larval sites of the mosquito <em>Aedes aegypti formosus</em> in forest and domestic habitats in Africa and the potential association with oviposition evolution. Ecology and Evolution, 00, 1– 17. https://doi.org/10.1002/ece3.8332"</p> <p>The mosquito <em>Ae. aegypti</em> is a major vector of several arboviral diseases. In Africa, <em>Ae. aegypti</em> can be found in both ancestral forest habitats and human-made domestic habitats, such as villages. They also use different types of containers as larval sites: while the forest <em>Ae. aegypti </em>use tree holes and rock pools, the domestic population rely mostly on artificial contains such as plastic buckets. As an initial attempt to better understand <em>Ae. aegypti</em> larval ecology and evolution in different habitat, we characterized the microenvironment of their larval sites in both habitats and compare between them. We focuses on two localities in Africa: La Lope in Gabon, and Rabai in Kenya. The current dataset contains data from La Lope and the Rabai data can be found in a different dataset (DOI:10.5061/dryad.3tx95x6cz). In this dataset, we characterized 38 <em>Ae. aegypti</em> larval site from the La Lope village and 60 larval site from the La Lope forest. Specifically, the first ten column of the dataset provides basic information of each larval site, such as sampling location, date and habitat etc. The data also includes the measures of 11 physical variables of each larva site. These variables describe the size of the container, ambient environment such as temperature and humidity, and water pH and conductivity. Lastly, the dataset has the number of <em>Ae. aegypti</em> and other mosquito species found in each larval site, as well as measures of microbial density. Using this dataset, we found that forest and village larval sites have different microenvironments. The detailed analysis and discussion can be found in the paper.</p> <p>We hope this dataset could provide useful basic ecological information on <em>Ae. aegypti</em> larval habitat in Africa. We encourage future studies to explore this dataset and generate more hypothesis on <em>Ae. aegypti</em> ecology and evolution. </p>

opencc-zeroJul 2021View details →
dryad36/100

Larval site characteristics of mosquito Aedes aegypti in Rabai, Kenya

<p>This dataset is described and analyzed in the paper: "Xia, S., Dweck, H. K. M., Lutomiah, J., Sang, R., McBride, C. S., Rose, N. H., Ayala, D., &amp; Powell, J. R. (2021). Larval sites of the mosquito <em>Aedes aegypti formosus</em> in forest and domestic habitats in Africa and the potential association with oviposition evolution. Ecology and Evolution, 00, 1– 17. https://doi.org/10.1002/ece3.8332"</p> <p>The mosquito <em>Ae. aegypti</em> is a major vector of several arboviral diseases. In Africa, <em>Ae. aegypti</em> can be found in both ancestral forest habitats and human-made domestic habitats, such as villages. They also use different types of containers as larval sites: while the forest <em>Ae. aegypti </em>use tree holes and rock pools, the domestic populations rely mostly on artificial contains such as plastic buckets. As an initial attempt to better understand <em>Ae. aegypti</em> larval ecology and evolution in different habitats, we characterized the microenvironment of their larval sites in both habitats and compare them. We focus on two localities in Africa: La Lope in Gabon, and Rabai in Kenya. The current dataset contains data from Rabai and the La Lope data can be found in a different dataset (DOI:10.5061/dryad.7m0cfxprg). In this dataset, we characterized 31 <em>Ae. aegypti</em> larval site from four Rabai villages and 37 larval sites from the Rabai forest. Specifically, the first ten columns of the dataset provide basic information of each larval site, such as sampling location, date, and habitat, etc. The data also includes the measures of 16 physical variables of each larva site. These variables describe the size of the container, ambient environment such as temperature and humidity, and water pH and conductivity, etc. Lastly, the dataset has the number of <em>Ae. aegypti</em> and other mosquito species found in each larval site, as well as measures of microbial density. In addition, we also examined the chemical composition of volatiles from a subset of 42 larval sites. Using GC-MS, we identified chemical compounds in each larval site. Using these datasets, we found that forest and village larval sites have different microenvironments. The detailed analysis and discussion can be found in the paper. We hope this dataset could provide useful basic ecological information on <em>Ae. aegypti</em> larval habitat in Africa. We encourage future studies to explore this dataset and generate more hypotheses on <em>Ae. aegypti</em> ecology and evolution. </p>

opencc-zeroJul 2021View details →
dryad36/100

Dating the origin and spread of specialization on human hosts in Aedes aegypti mosquitoes

<p>The globally invasive mosquito subspecies <em>Aedes aegypti aegypti</em> is a highly effective vector of human arboviruses because it specializes in biting humans and breeding in human habitats. Recent work suggests that specialization first arose as an adaptation to long, hot dry seasons in the West African Sahel, where <em>Ae. aegypti</em> is forced to rely on human-stored water for breeding. However, rainfall patterns in this region have changed dramatically over the past 10–20 thousand years, and we do not yet know exactly when specialization occurred. Here we use whole-genome cross-coalescent analysis to date the emergence of human specialist populations in the Sahel and thus further probe the climate hypothesis. Importantly, we take advantage of the known migration of human-specialist populations out of Africa during the Atlantic Slave Trade to calibrate the coalescent clock and thus obtain a more precise estimate of the older evolutionary event than would otherwise be possible. We find that human-specialist mosquitoes diverged rapidly from ecological generalists approximately 5,000 years ago, which corresponds to the end of the African Humid Period—a time when the Sahara dried and water stored by humans became a uniquely stable, aquatic niche in the Sahel. We also use population genomic analyses to date a previously observed influx of human-specialist alleles into major West African cities, where mosquitoes tend to be more attracted to humans than in nearby rural populations regardless of climate. In this case, the characteristic length of tracts of human-specialist ancestry present on a generalist genetic background in Kumasi, Ghana and Ouagadougou, Burkina Faso suggests the change in behavior occurred during rapid urbanization over the last 20–40 years. Taken together, we show that the timing and ecological context of two previously observed shifts toward human biting in <em>Ae. aegypti</em> differ; climate was likely the original driver, but urbanization has become increasingly important in recent decades. Understanding the changing relationship between mosquitoes and humans over time is critical for predicting and managing the burdens of mosquito-borne disease.</p>

opencc-zeroMar 2023View details →
dryad36/100

Mechanical transmission of Dengue Virus by Aedes aegypti may influence disease transmission dynamics during outbreaks data

<strong><span>Summary</span></strong> <p class="MsoNormal"><em><span>Background</span></em><span>: Dengue virus outbreaks are increasing in number and severity worldwide. Viral transmission is assumed to require a minimum time period of viral replication within the mosquito midgut. It is unknown if alternative transmission periods not requiring replication are possible.</span></p> <p class="MsoNormal"><em><span>Methods</span></em><span>: We used a mouse model of dengue virus transmission to investigate the potential of mechanical transmission of dengue virus. We investigated minimal viral titres necessary for development of symptoms in bitten mice and used resulting parameters to inform a new model of dengue virus transmission within a susceptible population.</span></p> <p class="MsoNormal"><em><span>Findings</span></em><span>: Naïve mice bitten by mosquitoes immediately after they took partial blood meals from dengue infected mice showed symptoms of dengue virus, followed by mortality. Incorporation of mechanical transmission into mathematical models of dengue virus transmission suggests that this supplemental transmission route could result in larger outbreaks which peak sooner.</span></p> <p class="MsoNormal"><em><span>Interpretation</span></em><span>: The potential of dengue transmission routes independent of midgut viral replication has implications for vector control strategies that target mosquito lifespan and suggest the possibility of similar mechanical transmission routes in other disease-carrying mosquitoes.</span></p>

opencc-zeroJun 2023View details →
zenodo36/100

The Aedes aegypti RNA interference response against Zika virus in the context of co-infection with dengue and chikungunya viruses

<p>This is the corresponding data of the Publication in Plos Neglected tropical diseases.</p> <p>Zika virus (ZIKV) is a mosquito-borne human-pathogenic arbovirus of the <em>Flaviviridae</em> family, genus <em>Flavivirus</em>. Other arboviruses, including dengue (DENV) or chikungunya (CHIKV) virus, can occur in the same regions as ZIKV and are also transmitted by <em>Aedes aegypti</em>. Notably, it has been shown that these viruses can co-infect this mosquito, andco-transmission occurs. Such processes may add to the serious public health issues already linked to those pathogens. Arbovirus infections in mosquitoes are controlled through an immune response called RNA interference (RNAi). It is however unknown whether immune responses changs when a mosquito is exposed to a co-infection of ZIKV with either DENV or CHIKV. In this study, we provide evidence that ZIKV co-infections with CHIKV or DENV are similarly well controlled by RNAi as single infections. These findings give new insights into the dynamics of arboviral co-infections in mosquito vectors that increase our understanding of co-infection scenarios during arbovirus outbreaks.</p>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov36/100

Characterization of Skin Immunity to Aedes Aegypti Saliva in Dengue-endemic Participants in Cambodia

ClinicalTrials.gov study NCT04350905. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad36/100

Data from: Efficacy of Aedes aegypti control by indoor Ultra Low Volume (ULV) insecticide spraying in Iquitos, Peru

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publicApr 2018View details →
dryad36/100

Mechanical transmission of Dengue Virus by Aedes aegypti may influence disease transmission dynamics during outbreaks data

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publicJul 2023View details →
dryad36/100

Dating the origin and spread of specialization on human hosts in Aedes aegypti mosquitoes

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publicMar 2023View details →
dryad36/100

Data from: How Hurricanes Irma and Maria affected population dynamics and nutrient content of <em>Aedes aegypti</em> in San Juan, PR, USA: socioeconomic and temporal factors

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publicSep 2025View details →
dryad36/100

Larval site characteristics of mosquito Aedes aegypti in Rabai, Kenya

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publicNov 2022View details →
dryad36/100

Data from: The global compendium of Aedes aegypti and Ae. albopictus occurrence

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publicFeb 2017View details →

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Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record