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580 results for “pattern analysis”
Data from: Seasonal dynamics and co-occurrence patterns of honey bee pathogens revealed by high-throughput RT-qPCR analysis
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Data from: Patterns and predictors of β-diversity in the fragmented Brazilian Atlantic forest: a multiscale analysis of forest specialist and generalist birds
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Data from: Cluster analysis successfully identifies clinically meaningful knee valgus moment patterns: frequency of early peaks reflects sex-specific ACL injury incidence
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Data from: Metagenetic community analysis of microbial eukaryotes illuminates biogeographic patterns in deep-sea and shallow water sediments
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Downtown Diet: a global meta-analysis of urbanization on consumption patterns of vertebrate predators
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Spatial point pattern analysis of traces (SPPAT): an approach for visualizing and quantifying site-selectivity patterns of drilling predators
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Research collaboration patterns in sustainable mining – a co-authorship analysis of publications
<p>This dataset includes data related to 4220 articles on sustainable mining published from 1983 to 2018. The Scopus database was selected as a data source. Detailed data applies to co-authored articles. The number of authors and affiliations (country, institution, sector) were taken into account. Data has been cleaned in terms of names of institutions and countries.<br> In given sets the following data were included:<br> - Distribution of articles in sustainable mining from 1983 to 2018<br> - Distribution of joint articles and the types of joint articles from 1983 to 2018<br> - Team size in terms of the number of authors of articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' institutions in articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' countries in articles in sustainable mining from 1983 to 2018</p> <p><strong>Please note, the field separator used in these files is a semicolon, while the decimal separator is a comma. Each of the files has two header lines.</strong></p>
Supplementary material 2 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Table S2. Specimen data used in the DNA barcoding analyses
Supplementary material 3 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Checklist and nomenclatural summary of the Japanese species of Enicospilus
Figure 9 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 9 Enicospilus abdominalis (Szépligeti, 1906) ♀ from Japan A habitus B head, frontal view C head, dorsal view D head, lateral view E mesosoma, lateral view F central part of fore wing.
Figure 8 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 8 Intraspecific variation of the body colour in E. shikokuensis (Uchida, 1928) A paler (SEN42) B darker (SEN41) individuals.
Figure 7 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 7 Intraspecific variation of the fore wing sclerite development in E. shikokuensis (Uchida, 1928) A the proximal and distal sclerites separated and the central sclerite weak (SEN42) B the proximal and distal sclerites confluent and the central sclerite strong (SEN41).
Supplementary material 1 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Table S1. Specimens examined
Figure 58 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 58 Heat maps of regional patterns A number of specimens B number of sampling events C number of collectors D number of species.
Figure 56 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 56 Individual-based extrapolated species accumulation curve, comparing each zone rarefied to 2,000 individuals (LR = latitudinal ranges).
Figure 59 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 59 Individual-based species accumulation curve, comparing the observed and estimated numbers of Enicospilus species in Japan, based on ACE and Chao 1 estimators.
Figure 6 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 6 Bayesian majority-rule consensus tree based on a barcoding gene (BIPP = the Bayesian inference posterior probabilities; MLBS = the maximum likelihood bootstrap percentages).
Figure 57 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 57 Latitudinal pattern of Enicospilus species richness across Japan. Coloured bars indicate observed species number and extended non-coloured bars indicate saturation species richness, estimated by individual-based extrapolation methods based on Chao1 richness estimator in EstimateS v.9.1.0 software application. Enicospilus species richness across Japan significantly decreases towards the north (Spearman's rank correlation coefficient = -0.89, p-value = 0.03).
Figure 55 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 55 Enicospilus zeugos Chiu, 1954, stat. rev. ♀ from Japan A habitus B head, frontal view C head, dorsal view D head, lateral view E mesosoma, lateral view F central part of fore wing.
Figure 53 from: Shimizu S, Broad GR, Maeto K (2020) Integrative taxonomy and analysis of species richness patterns of nocturnal Darwin wasps of the genus Enicospilus Stephens (Hymenoptera, Ichneumonidae, Ophioninae) in Japan. ZooKeys 990: 1-144. https://doi.org/10.3897/zookeys.990.55542
Figure 53 Enicospilus yezoensis (Uchida, 1928) ♀ from Japan A habitus B head, frontal view C head, dorsal view D head, lateral view E mesosoma, lateral view F central part of fore wing.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.