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809 results for “complement”

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zenodo32/100

AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Romania

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>

opencc-by-4.0Dec 2020View details →
zenodo32/100

AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Italy

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>

opencc-by-4.0Dec 2020View details →
zenodo32/100

AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Iceland

<p>This dataset contains&nbsp;the results of the surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund</li> </ul>

opencc-by-4.0Dec 2020View details →
zenodo32/100

AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Switzerland

<p>This dataset contains&nbsp;the results of the surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund</li> </ul>

opencc-by-4.0Dec 2020View details →
zenodo32/100

AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Croatia

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>

opencc-by-4.0Dec 2020View details →
zenodo32/100

AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Luxembourg

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>

opencc-by-4.0Dec 2020View details →
zenodo32/100

AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Belgium

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>

opencc-by-4.0Dec 2020View details →
dryad32/100

Data from: Use of simulation-based statistical models to complement bioclimatic models in predicting continental scale invasion risks

Invasive species represent one of the greatest risks to global biodiversity and economic productivity of agroecosystems. The development of certain novel crops—e.g., herbaceous perennial biomass crops—may create a risk of novel invasions by these crops. Therefore, potential benefits and risks need to be weighed in making decisions about their introduction and subsequent management. Ideally, such a weighing will be based on good estimates of invasion risks in realistic scenarios pertaining to actual landscapes of concern regarding invasion. Most previous large-scale analyses of invasion risk have used species distribution models and their established methods. Unfortunately, these approaches are unable to incorporate local scale biotic and spatial factors that influence invasion risk. Here we present a case study for how such factors can be efficiently incorporated in large-scale analyses of invasion risk, by extending simulation models with statistical modeling tools. By these means, we predict invasion risk at the scale of the entire United States for a major biomass crop, Miscanthus × giganteus. We then combine invasion risk predictions for this method with those from bioclimatic methods, producing a map of aggregated invasion risk that can offer more nuanced predictions of invasion risk than either approach alone. Lastly, we evaluate potential risks for invasive crops that differ in invasiveness traits, to examine how geographic patterns of invasion risk vary among invaders as a result of their particular constellation of traits.

opencc-zeroDec 2017View details →
dryad32/100

Data from: Minimal ProtoHox cluster inferred from bilaterian and cnidarian Hox complements

Bilaterian animals have a Hox gene cluster essential for patterning the main body axis, and a ParaHox gene cluster. Comparison of Hox and ParaHox genes has led workers to postulate that both clusters originated from the duplication of an ancient cluster named ProtoHox, which contained up to four genes with at least the precursors of anterior and posterior Hox/ParaHox genes. However, the way in which genes diversified within the ProtoHox, Hox and ParaHox clusters remains unclear because no systematic study of non-bilaterian animals exists. Here we characterize the full Hox/ParaHox gene complements and genomic organization in two cnidarian species (Nematostella vectensis and Hydra magnipapillata), and suggest a ProtoHox cluster simpler than originally thought on the basis of three arguments. First, both species possess bilaterian-like anterior Hox genes, but their non-anterior genes do not appear as counterparts of either bilaterian central or posterior genes; second, two clustered ParaHox genes, Gsx and a gene related to Xlox and Cdx, are found in Nematostella vectensis; and third, we do not find clear phylogenetic support for a common origin of bilaterian Cdx and posterior genes, which might therefore have appeared after the ProtoHox cluster duplication. Consequently, the ProtoHox cluster might have consisted of only two anterior genes. Non-anterior genes could have appeared independently in the Hox and ParaHox clusters, possibly after the separation of bilaterians and cnidarians.

opencc-zeroDec 2010View details →
zenodo32/100

FIGURES 35–36 in A new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 35–36. Karyotype of Miogryllus. 35—Miogryllus itaquiensis n. sp.; 36—Miogryllus piracicabensis Piza, 1960.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 29–34 in A new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 29–34. Genitalia, right tegmen and ovipositor of Miogryllus piracicabensis Piza, 1960. 29—31—phallic sclerites, dorsal, ventral and lateral view, respectively; 32—male right tegmen; 33—supranal plate, cerci and ovipositor; 34—subgenital plate, cerci and ovipositor. Conventions: MLPs—Main Lobe of Pseudepiphallus; Ps.Ap.—Pseudepiphallic Apodeme; Ect.F— Ectophallic Fold; Arc—Ectophallic Arc; Ps.P— Pseudepiphallus Paramere; Ps.Ap—Pseudepiphallic Apodeme; End.C— Endophallic Cavity; R—Ramus.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 23–28 in A new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 23–28. Male morphological characteristics of Miogryllus piracicabensis Piza, 1960. 23, 24, 25—habitus after alcohol fixation, in dorsal, ventral and lateral views, respectively; 26—head, lateral view; 27—supranal plate; 28—subgenital plate.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 17–20 in A new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 17–20. Calling songs of Miogryllus itaquiensis n. sp. and Miogryllus piracicabensis Piza, 1960. 17—18—Holotype oscillogram and spectrogram, respectively; 19—20— oscillogram and spectrogram of Miogryllus piracicabensis.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 12–16 in A new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 12–16. Morphological characteristics of Miogryllus itaquiensis n. sp. paratypes. 12—male right tegmen; 13–14— stridulatory file; 15—female subgenital plate, cerci and ovipositor; 16—female supranal plate.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 3–11 in A new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 3–11. Morphological characteristics of Miogryllus itaquiensis n. sp. holotype. 3–5—habitus after alcohol fixation, in dorsal, ventral and lateral views, respectively; 6—head, lateral view; 7—supranal plate; 8—subgenital plate; 9—11—phallic sclerites, ventral, dorsal and lateral view, respectively. Conventions: MLPs—main lobe of pseudepiphallus; Ect.F—Ectophallic Fold; Ect.Ap.—Ectophallic Apodeme; Arc—Ectophallic Arc; Ps.P— Pseudepiphallus Paramere; Ps.Ap—Pseudepiphallic Apodeme; End.C—Endophallic Cavity; R—Ramus.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 35–36 in new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 35–36. Karyotype of Miogryllus. 35—Miogryllus itaquiensis n. sp.; 36—Miogryllus piracicabensis Piza, 1960.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 17–20 in new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 17–20. Calling songs of Miogryllus itaquiensis n. sp. and Miogryllus piracicabensis Piza, 1960. 17–18—Holotype oscillogram and spectrogram, respectively; 19–20— oscillogram and spectrogram of Miogryllus piracicabensis.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 12–16 in new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 12–16. Morphological characteristics of Miogryllus itaquiensis n. sp. paratypes. 12—male right tegmen; 13–14—stridulatory file; 15—female subgenital plate, cerci and ovipositor; 16—female supranal plate.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 29–34 in new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 29–34. Genitalia, right tegmen and ovipositor of Miogryllus piracicabensis Piza, 1960. 29–31—phallic sclerites, dorsal, ventral and lateral view, respectively; 32—male right tegmen; 33—supranal plate, cerci and ovipositor; 34—subgenital plate, cerci and ovipositor. Conventions: MLPs—Main Lobe of Pseudepiphallus; Ps.Ap.—Pseudepiphallic Apodeme; Ect.F—Ectophallic Fold; Arc—Ectophallic Arc; Ps.P—Pseudoepiphallic Paramere; Ps.Ap—Pseudepiphallic Apodeme; End.C—Endophallic Cavity; R—Ramus.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 23–28 in new species of Miogryllus Saussure, 1877 and new record of Miogryllus piracicabensis Piza, 1960 (Orthoptera: Gryllidae) from State of Rio Grande do Sul, Brazil, with calling song and chromosome complement

FIGURES 23–28. Male morphological characteristics of Miogryllus piracicabensis Piza, 1960. 23, 24, 25—habitus after alcohol fixation, in dorsal, ventral and lateral views, respectively; 26—head, lateral view; 27—supranal plate; 28—subgenital plate.

opennotspecifiedDec 2017View details →

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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