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5,526 results for “information”
Resources for "BMF CP 97: The roles of health information-seeking ability and e-health literacy in illness response capability and health checkup frequency"
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are health information-seeking ability and e-health literacy associated with illness response capability?</span></li> <li><span>How are health information-seeking ability and e-health literacy associated with the frequency of health checkups?</span></li> </ul>
Resources for "BMF CP 96: The roles of healthy eating information seeking ability and e-health literacy in healthy eating"
<p><span>The current study is conducted to examine the following research questions:</span></p> <ul> <li><span>How are healthy eating information-seeking ability and e-health literacy associated with healthy eating intention?</span></li> </ul>
MS-UMG: MALDI-TOF Mass Spectra and Resistance Information on Antimicrobials from University Medical Center Göttingen
<p>During routine diagnostic procedures, we aggregated MALDI-TOF MS data of organisms isolated from clinical specimens from the University Medical Center Göttingen (UMG) in 2020 / 2021. We integrated these with corresponding antimicrobial susceptibility profiles. This amounted to 26,961 mass spectra and 26,961 corresponding metadata entries for the year 2020, and 50,381 mass spectra and 50,381 corresponding metadata entries for 2021, respectively. The dataset reflects 348 different species of bacterial and fungal organisms and 72 different antimicrobial susceptibility testing (AST) results.</p> <p> </p> <p>Please cite: </p> <div> <div>Effect of Data Heterogeneity in Clinical MALDI-TOF Mass Spectra Profiles on Direct Antimicrobial Resistance Prediction through Machine Learning</div> </div> <div><span><span><span>Youngjun</span> <span>Park</span></span>, <span><span>Michael</span> <span>Weig</span></span>, <span><span>Christine</span> <span>Noll</span></span>, <span><span>Oliver</span> <span>Bader</span></span>, <span><span>Anne-Christin</span> <span>Hauschild</span></span></span></div> <div><span>bioRxiv </span><span>2024.10.18.617592; </span><span><span>doi:</span> https://doi.org/10.1101/2024.10.18.617592</span></div>
Dataset for: Dopamine neurons that inform Drosophila olfactory memory have distinct, acute functions driving attraction and aversion
<p>The brain must guide immediate responses to beneficial and harmful stimuli while simultaneously writing memories for future reference. While both immediate actions and reinforcement learning are instructed by dopamine, how dopaminergic systems maintain coherence between these two reward functions is unknown. Through optogenetic activation experiments, we showed that the dopamine neurons that inform olfactory memory in Drosophila have a distinct, parallel function driving attraction and aversion (valence). Sensory neurons required for olfactory memory were dispensable to dopaminergic valence. A broadly projecting set of dopaminergic cells had valence that was dependent on dopamine, glutamate, and octopamine. Similarly, a more restricted dopaminergic cluster with attractive valence was reliant on dopamine and glutamate; flies avoided opto-inhibition of this narrow subset, indicating the role of this cluster in controlling ongoing behavior. Dopamine valence was distinct from output-neuron opto-valence in locomotor pattern, strength, and polarity. Overall our data suggest that dopamine’s acute effect on valence provides a mechanism by which a dopaminergic system can coherently write memories to influence future responses while guiding immediate attraction and aversion.</p>
Linked collectors and determiners for: Review of Glaphyrosoma (Orthoptera: Stenopelmatoidea: Anostostomatidae) including new species and biological information.
Natural history specimen data linked to collectors and determiners held within, "Review of Glaphyrosoma (Orthoptera: Stenopelmatoidea: Anostostomatidae) including new species and biological information". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0bd16ef3-56e3-4251-8243-9d59e5606493">https://bionomia.net/dataset/0bd16ef3-56e3-4251-8243-9d59e5606493</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0bd16ef3-56e3-4251-8243-9d59e5606493">https://gbif.org/dataset/0bd16ef3-56e3-4251-8243-9d59e5606493</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: An annotated taxonomic checklist of the Neotropical Gracillariidae (Lepidoptera) with links to the information on host plants and parasitoids.
Natural history specimen data linked to collectors and determiners held within, "An annotated taxonomic checklist of the Neotropical Gracillariidae (Lepidoptera) with links to the information on host plants and parasitoids". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/88192512-176a-4b60-8795-ac034f26ef66">https://bionomia.net/dataset/88192512-176a-4b60-8795-ac034f26ef66</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/88192512-176a-4b60-8795-ac034f26ef66">https://gbif.org/dataset/88192512-176a-4b60-8795-ac034f26ef66</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Redescription of Tapinesthis inermis (Araneae, Oonopidae), with detailed information on its ultrastructure.
Natural history specimen data linked to collectors and determiners held within, "Redescription of Tapinesthis inermis (Araneae, Oonopidae), with detailed information on its ultrastructure". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/661ec579-2551-46f4-821b-9af75650f9a8">https://bionomia.net/dataset/661ec579-2551-46f4-821b-9af75650f9a8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/661ec579-2551-46f4-821b-9af75650f9a8">https://gbif.org/dataset/661ec579-2551-46f4-821b-9af75650f9a8</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Metallesthes specimens inspected and supporting information published in Metallesthes revision.
Natural history specimen data linked to collectors and determiners held within, "Metallesthes specimens inspected and supporting information published in Metallesthes revision". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4677560c-a8d9-4e3e-b883-d3c6d97ded49">https://bionomia.net/dataset/4677560c-a8d9-4e3e-b883-d3c6d97ded49</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4677560c-a8d9-4e3e-b883-d3c6d97ded49">https://gbif.org/dataset/4677560c-a8d9-4e3e-b883-d3c6d97ded49</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the ' Bush Blitz' surveys of national reserves.
Natural history specimen data linked to collectors and determiners held within, "New species of Australian arid zone chelonine wasps from the genera Phanerotoma and Ascogaster (Hymenoptera: Braconidae) informed by the ' Bush Blitz' surveys of national reserves". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/eadd473a-210b-4c1f-a99d-0eb373d15b12">https://bionomia.net/dataset/eadd473a-210b-4c1f-a99d-0eb373d15b12</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/eadd473a-210b-4c1f-a99d-0eb373d15b12">https://gbif.org/dataset/eadd473a-210b-4c1f-a99d-0eb373d15b12</a>. Formatted as a Frictionless Data package.
Supporting information for "Regional benthic δ18O stacks for the "41-kyr world" - an Atlantic-Pacific divergence between 1.8-1.9 Ma"
<p><strong>Abstract</strong></p> <p>Benthic δ<sup>18</sup>O stacks are the benchmarks by which paleoceanographic data are stratigraphically aligned and compared. However, a recent study found that between 1.8-1.9 million years ago (Ma) several Ceara Rise records differed substantially from the widely used LR04 global stack. Here, we use new Bayesian stacking software to construct regional stacks and demonstrate a geographical divergence in benthic δ<sup>18</sup>O features from 1.8-1.9 Ma. The pattern of isotopic stage features observed in the Ceara Rise is widespread throughout the Atlantic and differs notably from Pacific records. We propose that this regional difference in isotopic stages may be the result of relatively strong precession forcing and weaker obliquity forcing between 1.8-1.9 Ma. In accordance with the Antiphase Hypothesis, our results highlight a period of apparent sensitivity to regional precession forcing that is masked during most of the 41-kyr world due to the amplitude modulation of obliquity forcing.</p> <p>In this version, we tested how an update to the BIGMACS code base (https://github.com/eilion/BIGMACS) to V1.1 may or may not impact our results of the GRL paper. We found that the updated code has a negligent impact on the results, as can be seen in the two new figures.</p>
Relevance of predictive and postdictive error information in the course of motor learning.
<p>Dataset associated with the following publication:</p> <p>Maurer, LK, Joch, M, Hegele, M, Maurer, H, & Müller, H (2021). Relevance of predictive and postdictive error information in the course of motor learning. Neuroscience doi:10.1016/j.neuroscience.2021.05.007</p>
Knockdown resistance (kdr) genotypes and collection information for Aedes aegytpi from Iquitos, Peru (2000 - 2017)
<p>This study describes the evolution of <i>knockdown resistance (kdr)</i> haplotypes in <i>Aedes aegypti</i> in response to pyrethroid insecticide use over the course of 18 years in Iquitos, Peru. Based on the duration and intensiveness<span> of sampling (~10,000 samples), this is the most thorough study of kdr population genetics in <i>Ae. aegypti</i> to date within a city.</span> We provide evidence for the direct connection between programmatic citywide pyrethroid spraying and the increase in frequency of specific <i>kdr</i> haplotypes by identifying two evolutionary events in the population. The relatively high selection coefficients, even under infrequent insecticide pressure, emphasize how quickly <i>Ae. aegypti </i>populations can evolve. In our examination of the literature on mosquitoes and other insect pests, we could find no cases where a pest evolved so quickly to so few exposures to low or non-residual insecticide applications. <span>The observed rapid increase in frequency of resistance alleles might have been aided by the incomplete dominance of resistance-conferring alleles over corresponding susceptibility alleles.</span> In addition to dramatic temporal shifts, spatial suppression experiments reveal that genetic heterogeneity existed not only at the citywide scale, but also on a very fine scale within the city.</p>
Webinar- Rethinking informed consent
<p>Recordings on the <a href="https://i-consentproject.eu/experts-views-on-digitalisation-and-policy-developments-of-clinical-research/">online workshop</a> organized by AND-CG and held on 26 March 2020.</p> <p>The workshop counted with the participation of seven experts (four external and three members of the i-CONSENT consotium) who conducted <a href="https://i-consentproject.eu/i-consent-virtual-workshop-rethinking-informed-consent-emerging-challenges-in-the-digital-era/">presentations on the impact of technology and digitalisation</a> on IC processes in clinical trials.</p>
Data from: Dispersal in a house sparrow metapopulation: an integrative case study of genetic assignment calibrated with ecological data and pedigree information
<p class="western">Dispersal has a crucial role determining eco-evolutionary dynamics through both gene flow and population size regulation. However, to study dispersal and its consequences, one must distinguish immigrants from residents. Dispersers can be identified using telemetry, capture-mark-recapture (CMR) methods, or genetic assignment methods. All of these methods have disadvantages, such as, high costs and substantial field efforts needed for telemetry and CMR surveys, and adequate genetic distance required in genetic assignment. In this study, we used genome-wide 200K Single Nucleotide Polymorphism data and two different genetic assignment approaches (GSI_SIM, Bayesian framework; BONE, network-based estimation) to identify the dispersers in a house sparrow (<i>Passer domesticus</i>) metapopulation sampled over 16 years. Our results showed higher assignment accuracy with BONE. Hence, we proceeded to diagnose potential sources of errors in the assignment results from the BONE method due to variation in levels of inter-population genetic differentiation, intra-population genetic variation and sample size. We show that assignment accuracy is high even at low levels of genetic differentiation and that it increases with the proportion of a population that has been sampled. Finally, we highlight that dispersal studies integrating both ecological and genetic data provide robust assessments of the dispersal patterns in natural populations.</p>
Data from: Integrating pheromonal and spatial information in the amygdalo-hippocampal network. Villafranca-Faus et al. 2021
<p>The local field potential (LFP) of the dorsal hippocampus (CA1) and cortical amygdala (PMCo) of mice, under head-fix recording and inmersed on a virtual environtmernt.</p> <p><strong>Paper Abstract</strong>: <br> Vomeronasal information is critical in mice for territorial behavior. Consequently, learning the territorial spatial structure should incorporate the vomeronasal signals indicating individual identity into the hippocampal cognitive map. In this work we show in mice that navigating a virtual environment induces synchronic activity, with causality in both directionalities, between the vomeronasal amygdala and the dorsal CA1 of the hippocampus in the theta frequency range. The detection of urine stimuli induces synaptic plasticity in the vomeronasal pathway and the dorsal hippocampus, even in animals with experimentally induced anosmia. In the dorsal hippocampus, this plasticity is associated with the overexpression of pAKT and pGSK3β. An amygdalo-entorhino-hippocampal circuit likely underlies this effect of pheromonal information on hippocampal learning. This circuit likely constitutes the neural substrate of territorial behavior in mice, and it allows the integration of social and spatial information.</p>
Figure 9 in Oxycheila binotata Gray (Coleoptera: Carabidae: Cicindelinae), information on a little known taxon from Colombia
Figure 9. Map of Colombia illustrating approximate collecting locals for FMNH Oxycheila binotata male (blue star) and female (red star).
Figure 5-8 in Oxycheila binotata Gray (Coleoptera: Carabidae: Cicindelinae), information on a little known taxon from Colombia
Figure 5-8. Oxycheila binotata female in FMNH. 5) Habitus (scale bar = 1mm). 6) Left humerus, illustrating anterolateral projection. 7) Mesoepisternum, illustrating deep depression (arrow). 8) Labrum (scale bar = 1mm).
Figure 1-4 in Oxycheila binotata Gray (Coleoptera: Carabidae: Cicindelinae), information on a little known taxon from Colombia
Figure 1-4. Oxycheila binotata male in FMNH. 1) Habitus (scale bar = 1mm). 2) Labrum (scale bar = 1mm). 3) Aedeagus, left lateral view (scale bar = 1mm). 4) Aedeagus, right lateral view (scale bar = 1mm).
Tagging and tracking information for radiotagged Chinook Salmon in the Copper River, Alaska, 2019 and 2020.
<p>This is a 2 year data set that summarizes the information collected for a study funded by the Alaska Sustainable Salmon Fund (AKSSF), project number 52004. Data was collected on Chinook Salmon in the Copper River by the Alaska Department of Fish and Game, Sport Fish Division and the Native Village of Eyak. The data set includes the following information on Chinook Salmon: tagging date, radio tag frequency and code, length of fish, age of fish and then the date each fish passed a series of fixed tracking stations along the Copper River, expressed as Julian dates. Below is the citation for the study plan which details the methodology including tagging location and placement of the fixed-tracking stations.</p> <p>Schwanke, C. J. 2019. Run timing and spawning distribution of Copper River Chinook salmon. Alaska Department<br> of Fish and Game, Regional Operational Plan ROP.SF.3F.2019.04, Fairbanks.</p> <p>http://www.adfg.alaska.gov/FedAidPDFs/ROP.SF.3F.2019.04.pdf</p>
Figs 1–6 in Description of nymphs and additional information on Nabis ashworthi (Hemiptera: Heteroptera: Nabidae) from Patagonia, Argentina
Figs 1–6. Nabis ashworthi Faúndez & Carvajal, 2014. 1–3 – adults (1–2 – dorsal view, 3 – lateral view); 4–6 – nymphal stages, dorsal view (4 – fifth instar; 5 – fourth instar; 6 – third instar). Scale bars = 1 mm. Abbreviations: dep – circular depression of scutellum, wp – wing pad.
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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.