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12,393 results for “materiality”
Supplementary material 1 from: Gani M, Rovie-Ryan JJ, Sitam FT, Kulaimi NAM, Zheng CC, Atiqah AN, Rahim NMA, Mohammed AA (2021) Taxonomic and genetic assessment of captive White-Handed Gibbons (Hylobates lar) in Peninsular Malaysia with implications towards conservation translocation and reintroduction programmes. ZooKeys 1076: 25-41. https://doi.org/10.3897/zookeys.1076.73262
Table S1.
Supplementary material 3 from: Justi SA, Dale C (2021) Designation of the neotype of Triatoma dimidiata (Latreille, 1811) (Hemiptera, Reduviidae, Triatominae), with full integrated redescription including mitogenome and nuclear ITS-2 sequences. ZooKeys 1076: 9-24. https://doi.org/10.3897/zookeys.1076.72835
R code for barcode-like and cluster analyses 3
Supplementary material 2 from: Justi SA, Dale C (2021) Designation of the neotype of Triatoma dimidiata (Latreille, 1811) (Hemiptera, Reduviidae, Triatominae), with full integrated redescription including mitogenome and nuclear ITS-2 sequences. ZooKeys 1076: 9-24. https://doi.org/10.3897/zookeys.1076.72835
GenBank numbers list
Online material to paper "On the dynamical evolution of Cepheids in star clusters"
<p>The description of the movies can be found in the file movie_description.pdf.</p>
Supplementary material to "Food and habitats requirements of the Scops Owl (Otus scops) in Switzerland revealed by very high-resolution multi-scale models"
<p><strong>Abstract</strong></p> <p>In Europe, agricultural practices have progressively evolved towards high productivity leading either to the intensification of productive and accessible areas or to the abandonment of less profitable sites. Both processes have led to the degradation of semi-natural habitats like extensive grasslands, threatening species such as the Eurasian Scops Owl <em>Otus scops</em> that rely on extensively managed agricultural landscapes. In this work, we aimed to assess the habitat preferences of the Scops Owl using habitat suitability models combined with a multi-scale approach. We generated a set of multi-scale predictors, considering both biotic and abiotic variables, built on two newly developed vegetation management and orthopteran abundance models. To select the variables to incorporate in a ‘best multi-scale model’, we chose the best spatial scale for each variable using univariate models and by calculating their relative importance through multi-model inference. Next, we built ensembles of small models (ESMs) at 10 different scales from 50 to 1000 m, and an additional model with each variable at its best scale (‘best multi-scale model’). The latter performed better than most of the other ESMs and allowed the creation of a high-resolution habitat suitability map for the species. Scops Owls showed a preference for dry sites with extensive and well-structured habitats with 30–40% bush cover, and relied strongly on semi-extensive grasslands covering at least 30% of the surface within 300 m of the territory centre and with high orthopteran availability near the centre (50-m radius), revealing a need for good foraging grounds near the nest. At a larger spatial scale within a radius of 1000 m, the habitat suitability of Scops Owls was negatively related to forest cover. The resulting ESM predictions provide valuable tools for conservation planning, highlighting sites in need of particular conservation efforts together with offering estimates of the percentage of habitat types and necessary prey abundance that could be used as targets in future management plans to ensure the persistence of the population.</p>
Supplementary material 1 from: Adamov EO, Rachkov VI, Kashirsky AA, Orlov AI (2021) Global outlook on large-scale nuclear power development strategies. Nuclear Energy and Technology 7(4): 263-270. https://doi.org/10.3897/nucet.7.74217
Global outlook on large-scale nuclear power development strategies
Supplementary material 4 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Table S4. Vegetative and floral characters
Supplementary material 3 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Table S3. List of Ficus sequences retrieved from GenBank
Supplementary material 2 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Table S2. List of Ficus species collected from different parts of India
Supplementary material 2 from: Wei Z-Y, Gu Y-F, Xia Z-Q, Chen L-J, Wang T, Zhang S-Z, Zhao G-H, Chen J-B, Cao J-G, Yan Y-H (2021) Dipteris shenzhenensis, a new species of Dipteridaceae connected with broad wings from Shenzhen, southern China. PhytoKeys 186: 111-120. https://doi.org/10.3897/phytokeys.186.73739
Table S2. Specimen information used for morphological comparison
Supplementary material 7 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Figure S2. Multiple sequence alignment of trnH-psbA in Ficus krishnae and Ficus benghalensis
Supplementary material 1 from: Wei Z-Y, Gu Y-F, Xia Z-Q, Chen L-J, Wang T, Zhang S-Z, Zhao G-H, Chen J-B, Cao J-G, Yan Y-H (2021) Dipteris shenzhenensis, a new species of Dipteridaceae connected with broad wings from Shenzhen, southern China. PhytoKeys 186: 111-120. https://doi.org/10.3897/phytokeys.186.73739
Table S1. List of species and GenBank accession numbers used in the present study
Supplementary material 6 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Figure S1. Multiple sequence alignment of ITS2 in Ficus krishnae and Ficus benghalensis
Supplementary material 1 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Table S1. The PCR reaction conditions for the barcoding loci
Supplementary material 5 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Table S5. The data matrix of vegetative and floral characters
Supplementary material 1 from: Shkondrov A, Popova P, Ionkova I, Krasteva I (2021) Flavonoids in in vitro cultures of Astragalus hamosus. Pharmacia 68(4): 927-931. https://doi.org/10.3897/pharmacia.68.e76460
Figures S1–S3
Supplementary material 1 from: Nilsai A, Detcharoen M, Godeiro NN, Jantarit S (2021) Four new species of troglomorphic Coecobrya Yosii, 1956 (Collembola, Entomobryidae) from Thailand based on morphological and molecular evidence, with an updated key of Thai troglomorphic species. Subterranean Biology 41: 1-42. https://doi.org/10.3897/subtbiol.41.76926
Maximum likelihood phylogenetic tree (ML)
Supplementary material 2 from: Nilsai A, Detcharoen M, Godeiro NN, Jantarit S (2021) Four new species of troglomorphic Coecobrya Yosii, 1956 (Collembola, Entomobryidae) from Thailand based on morphological and molecular evidence, with an updated key of Thai troglomorphic species. Subterranean Biology 41: 1-42. https://doi.org/10.3897/subtbiol.41.76926
Table 1–3. Primers, genetic distance and Genbank accession numbers
Supplementary material 1 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Tree cover map St. Eustatius
Supplementary material 3 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Important birding areas St. Eustatius
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.