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7,920 results for “implications”
Figure 7 from: Jiang Z, Liu J, Qin D (2019) Sperm ultrastructure of Pochazia shantungensis (Chou & Lu) and Ricania speculum (Walker) (Hemiptera, Ricaniidae) with phylogenetic implications. ZooKeys 880: 43-59. https://doi.org/10.3897/zookeys.880.32810
Figure 7 Cross-sections of spermatozoa of R. speculum. A Showing acrosome (a) B, C transition region between the acrosome (a) and nucleus (N), showing acrosome (a) on both sides of the nucleus (N), until it locates on just the one side of nucleus (N) D oval nucleus (N) E–I nucleus-flagellum transition region, showing the nucleus (N), mitochondrial derivatives (md), accessory bodies (ab), axoneme (ax), the asterisk indicates the centriolar adjunct (ca) and the arrow indicates the centriole (c). Scale bars: 0.5 µm (A, I); 0.1 µm (B–H).
Figure 2 from: Lasch KG, Gollner S, Oude Elferink A, Rühs S, Sangiorgi F, van Sebille E, Wang J (2024) Whose Ocean? Exploring multidisciplinary perspectives towards ocean sustainability and implications for the un(der)represented. Research Ideas and Outcomes 10: e114485. https://doi.org/10.3897/rio.10.e114485
Figure 2 Pie charts showing the answer distribution of the 20 interviewees for the three questions of: (a) What does "whose ocean?" mean to you? (b) Who should control the ocean and how can we achieve this? and (c) How can we develop the relationship between humans and the ocean in a sustainable way?
Figure 1 from: Lasch KG, Gollner S, Oude Elferink A, Rühs S, Sangiorgi F, van Sebille E, Wang J (2024) Whose Ocean? Exploring multidisciplinary perspectives towards ocean sustainability and implications for the un(der)represented. Research Ideas and Outcomes 10: e114485. https://doi.org/10.3897/rio.10.e114485
Figure 1 Scheme illustrating the relationship between the ocean and humans: regulating, supporting, provisioning and cultural services of the ocean (green and blue backgrounds); as well as the threats the ocean is experiencing through humanity caused by anthropogenic climate change, overexploitation, habitat destruction and pollution (red background).
Figure 5 from: Zheng L-P, Geng Y-M (2024) Complete mitochondrial genome of Guigarra cailaoensis Wang, Chen & Zheng, 2022 (Cypriniformes, Cyprinidae) and its phylogenetic implications. ZooKeys 1190: 75-89. https://doi.org/10.3897/zookeys.1190.113808
Figure 5 Phylogenetic tree of Guigarra cailaoensis and 72 species downloaded from GenBank based on PCG sequences of complete mitogenome combined with ncDNA (Rag1) sequences (dataset 2). Nodal numbers are ML bootstrap values and BI posterior probability values, respectively. Only values above 50% are given.
Figure 4 from: Zheng L-P, Geng Y-M (2024) Complete mitochondrial genome of Guigarra cailaoensis Wang, Chen & Zheng, 2022 (Cypriniformes, Cyprinidae) and its phylogenetic implications. ZooKeys 1190: 75-89. https://doi.org/10.3897/zookeys.1190.113808
Figure 4 Phylogenetic tree of Guigarra cailaoensis and 98 species downloaded from GenBank based on PCG sequences of complete mitogenomes (dataset 1). Nodal numbers are ML bootstrap values and BI posterior probability values, respectively. Only values above 50% are given.
Figure 6 from: Zheng L-P, Geng Y-M (2024) Complete mitochondrial genome of Guigarra cailaoensis Wang, Chen & Zheng, 2022 (Cypriniformes, Cyprinidae) and its phylogenetic implications. ZooKeys 1190: 75-89. https://doi.org/10.3897/zookeys.1190.113808
Figure 6 Phylogenetic tree of Guigarra cailaoensis and 72 species downloaded from GenBank based on ncDNA (Rag1) sequences (dataset 3). Nodal numbers are ML bootstrap values and BI posterior probability values, respectively. Only values above 50% are given.
Supplementary material 2 from: Lessi BF, Geneletti D, Cortinovis C, Dias MM, Reis MG (2024) Bird richness and Ecosystems Services across an urban to natural gradient in south-eastern Brazil: implications for landscape planning and future scenarios. One Ecosystem 9: e114955. https://doi.org/10.3897/oneeco.9.e114955
Supplementary material 2
Supplementary material 3 from: Lessi BF, Geneletti D, Cortinovis C, Dias MM, Reis MG (2024) Bird richness and Ecosystems Services across an urban to natural gradient in south-eastern Brazil: implications for landscape planning and future scenarios. One Ecosystem 9: e114955. https://doi.org/10.3897/oneeco.9.e114955
Supplementary material 3
Supplementary material 1 from: Lessi BF, Geneletti D, Cortinovis C, Dias MM, Reis MG (2024) Bird richness and Ecosystems Services across an urban to natural gradient in south-eastern Brazil: implications for landscape planning and future scenarios. One Ecosystem 9: e114955. https://doi.org/10.3897/oneeco.9.e114955
Supplementary material 1
Supplementary material 1 from: Oishi EM, Kattler KR, Watkins HV, Howard BR, Côté IM (2024) Substrate complexity reduces prey consumption in functional response experiments: Implications for extrapolating to the wild. NeoBiota 91: 49-66. https://doi.org/10.3897/neobiota.91.111222
Supplementary data
Figure 2 from: Xu Y, Zeng S, Meng Y, Yang D, Yang S (2024) The mitochondrial genome of Hua aristarchorum (Heude, 1889) (Gastropoda, Cerithioidea, Semisulcospiridae) and its phylogenetic implications. ZooKeys 1192: 237-255. https://doi.org/10.3897/zookeys.1192.116269
Figure 2 Amino acid composition (a) and relative synonymous codon usage (b) of the H. aristarchorum mitogenome. The codon families are provided under the x-axis.
Figure 3 from: Xu Y, Zeng S, Meng Y, Yang D, Yang S (2024) The mitochondrial genome of Hua aristarchorum (Heude, 1889) (Gastropoda, Cerithioidea, Semisulcospiridae) and its phylogenetic implications. ZooKeys 1192: 237-255. https://doi.org/10.3897/zookeys.1192.116269
Figure 3 Nucleotide diversity analysis (a) and Ka/Ks rates (b) of 13 PCGs based on nine Semisulcospiridae species. The Pi values for the 13 PCGs is shown in the graph, with the PCGs in gray, rRNAs in orange, and tRNAs in blue. The black line represents the value of nucleotide diversity (Pi) (window size = 100 bp, step size = 20 bp). The blue, orange and gray columns represent the Ks, Ka and Ka/Ks values, respectively.
Figure 5 from: Xu Y, Zeng S, Meng Y, Yang D, Yang S (2024) The mitochondrial genome of Hua aristarchorum (Heude, 1889) (Gastropoda, Cerithioidea, Semisulcospiridae) and its phylogenetic implications. ZooKeys 1192: 237-255. https://doi.org/10.3897/zookeys.1192.116269
Figure 5 Phylogenetic tree (BI) of Cerithioidea species inferred from dataset I AA (a), II PCG123 (b) and III PCG12 (c). The numbers at the internodes represent maximum likelihood (ML) bootstrap (BS) and Bayesian inference (BI) posterior probabilities (PP). The GenBank accession numbers used are listed after the species names. The scale bar indicates the number of substitutions per site. Note: H. aristarchorum is highlighted in red.
Figure 1 from: Xu Y, Zeng S, Meng Y, Yang D, Yang S (2024) The mitochondrial genome of Hua aristarchorum (Heude, 1889) (Gastropoda, Cerithioidea, Semisulcospiridae) and its phylogenetic implications. ZooKeys 1192: 237-255. https://doi.org/10.3897/zookeys.1192.116269
Figure 1 Gene map of the H. aristarchorum mitogenome. The photo in the middle is the studied specimen of H. aristarchorum (photograph by Yuanzheng Meng). The innermost and middle circles depict the GC content and distribution of the sequencing depth, respectively. The outermost circle represents the arrangement of genes: inner genes from the forward strand, and outer genes from the reverse strand, with the protein-coding genes (PCGs) in green, ribosomal RNAs (rRNAs) in orange, and transfer RNA genes (tRNAs) in red.
Supplementary material 1 from: Xu Y, Zeng S, Meng Y, Yang D, Yang S (2024) The mitochondrial genome of Hua aristarchorum (Heude, 1889) (Gastropoda, Cerithioidea, Semisulcospiridae) and its phylogenetic implications. ZooKeys 1192: 237-255. https://doi.org/10.3897/zookeys.1192.116269
Supplementary information
Figure 4 from: Xu Y, Zeng S, Meng Y, Yang D, Yang S (2024) The mitochondrial genome of Hua aristarchorum (Heude, 1889) (Gastropoda, Cerithioidea, Semisulcospiridae) and its phylogenetic implications. ZooKeys 1192: 237-255. https://doi.org/10.3897/zookeys.1192.116269
Figure 4 The mitochondrial genome composition and arrangement of Semisulcospiridae. The PCGs are colored based on their functional group (dark blue represents COX1-3, light blue corresponds to ND1-6, pink indicates CYTB and yellow signifies ATP6 and ATP8), rRNAs (12S and 16S) are represented by gray modules, and the positions of the tRNAs are portrayed using their single-letter amino acid code (green modules). The non-coding region is not displayed. Note: H. aristarchorum is highlighted in red.
JTCT - Annex 2 - Interdisciplinary analytical framework on the socio-ecological justice and sustainability implications of a circularity transition
Open the record for dataset details and reuse information.
Supplementary material 1 from: Matenaar D (2024) Application of extended depth of field 3D imagery to tackle the challenges of cryptic species: a use case in the genus Betiscoides Sjöstedt, 1924 (Orthoptera, Caelifera, Lentulidae) and its taxonomic implications. Evolutionary Systematics 8(1): 65-90. https://doi.org/10.3897/evolsyst.8.117735
Specimens collections sites and Genbank Acc. numbers
Supplementary material 1 from: Hachtmann M (2024) Linking sufficiency and the protection of biodiversity: An issue of political implications, framing, descriptiveness and interdisciplinarity? Nature Conservation 55: 83-102. https://doi.org/10.3897/natureconservation.55.118243
Analysed publications
Mismatch between strong nest site selection and low survival of nests and broods for American woodcock and its implications for conservation
<p>Code and data for the paper entitled "Mismatch between strong nest site selection and low survival of nests and broods for Scolpax minor (American woodcock) and its implications for conservation" published in Ornitholgical Applications (2025). R code for landscape nest site selection is called <a href="../api/records/10927854/draft/files/landscape_nest_selectionornapplications.R/content" target="_blank" rel="noopener">landscape_nest_selectionornapplications.R</a> and data is called usedand5000availpoints.csv. R Code for local nest site selection is called <a href="../api/records/10927854/draft/files/local_nest_selectionornapplications.R/content" target="_blank" rel="noopener">local_nest_selectionornapplications.R</a> and data is called 2021_2022_nestdataveragedwithuse.csv. R code for nest survival is called <a href="../api/records/10927854/draft/files/nestsurvivalornapplications.R/content" target="_blank" rel="noopener">nestsurvivalornapplications.R</a> and data is called nestencounterwweather.csv and nestencounterhistoryweatherhabitat.csv. R code for brood survival is called <a href="../api/records/10927854/draft/files/broodsurvivalornapplications.R/content" target="_blank" rel="noopener">broodsurvivalornapplications.R</a> and data is called broodencounterhistoryweather.csv. All datasets are within the zipped folder called Nest Site Selection and Survival Analyses.zip</p>
ScienceDex guides
Understand access before you commit
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.