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Supplementary material 5 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Zero-centred histogram of the residuals between simulated data and predictions of the model with the distance to the closest disease report as a predictor of the number of Cryptostroma corticale spores detected in aerobiological samples
Supplementary material 2 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Statistics for Table 2. Statistical tests of proportions out of all species among feeding types for impacts, establishments and interceptions.
Supplementary material 3 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Numbers (and percentages) of species by impact class, and whether or not they have been intercepted (based on the international interceptions dataset covering the period 1995–2021) or established in a region outside their native range.
Supplementary material 4 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Zero-centred histogram of the residuals between simulated data and predictions of the model with the water balance (P-ETP) in the vegetative season (April-August) of the year preceding disease report as a predictor of the standardized record rate of the SBD
Supplementary material 4 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Percentages of species native to a region in each feeding guild, regardless of impact. Those in the "Native country: other" category are species native to other regions but not to Australia or New Zealand.
Supplementary material 6 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Zero-centred histogram of the residuals between simulated data and predictions of the model with the total sycamore maple basal area in a radius of 50 km from the sampler as a predictor of the number of Cryptostroma corticale spores detected in aerobiological samples
Supplementary material 2 from: Colombari F, Battisti A (2023) Citizen science at school increases awareness of biological invasions and contributes to the detection of exotic ambrosia beetles. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 211-229. https://doi.org/10.3897/neobiota.84.95177
Slides of the lecture on 'Monitoring of insect species harmful to trees and forests' and link to educational videos
Supplementary material 2 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Isolates which DNA was extracted and used to confirm the specificity of the primers ccITS2F and SBD3R and probe SBD5P
Supplementary material 8 from: Muller E, Dvořák M, Marçais B, Caeiro E, Clot B, Desprez-Loustau M-L, Gedda B, Lundén K, Migliorini D, Oliver G, Ramos AP, Rigling D, Rybníček O, Santini A, Schneider S, Stenlid J, Tedeschini E, Aguayo J, Gomez-Gallego M (2023) Conditions of emergence of the Sooty Bark Disease and aerobiology of Cryptostroma corticale in Europe. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 319-347. https://doi.org/10.3897/neobiota.84.90549
Probability of disease report in an area of 40-km to 130-km radius from the sampler as a function of the number of detected spores per day
Supplementary material 1 from: Huang J, Leach H, Buffington M, Rothwell N, Wilson JK (2023) Resident parasitoids associated with Drosophilidae in Michigan tart cherry orchards and woodland edges. Journal of Hymenoptera Research 96: 485-494. https://doi.org/10.3897/jhr.96.103160
Endemic parasitoids associated with Drosophilidae in Michigan tart cherry orchards and woodland edges
Reconstructed 250 m resolution EVI dataset in China
<p>Reconstructed 250 m spatial resolution and 16-day composite NDVI and EVI datasets in China from 2000 to 2022 were developed based on a spatio-temporal reconstruction method and MODIS MOD13Q1 data. Reference: Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method</p>
Reconstructed 250 m resolution NDVI dataset in China
<p>Reconstructed 250 m spatial resolution and 16-day composite NDVI and EVI datasets in China from 2000 to 2022 were developed based on a spatio-temporal reconstruction method and MODIS MOD13Q1 data.</p><p>Reference: Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method</p>
Immune single-cell RNA-seq data from PyMT-M tumor and its peripheral blood samples
<p><em>Immune single-cell RNA-seq data collection and preprocessing</em></p> <p>Blood and tumor samples were harvested from PyMT-M tumor-bearing mice. Blood samples (n=3) are collected retro-orbitally using caliper tubes and processed with red blood cell lysis buffer (Tonbo Biosciences) before library preparation. A tumor sample are dissociated with Tumor Dissociation Kit following the manufacturer’s instructions (Miltenyi Biotec). After isolation and filtering through a 70µm filter, CD45+DAPI- cells were sorted using FACSAria cell sorter (BD Biosciences) at the Cytometry and Cell Sorting Core. The single-cell libraries were prepared using Chromium Controller (10X Genomics) at the Single Cell Genomics Core and sequenced using NovaSeq 6000 at the Genomics and RNA Profiling Core of Baylor College of Medicine. The FASTQ files were processed using Cell Ranger pipelines (10X Genomics) to generate feature-barcode matrices.</p> <p><em>Integrating immune single-cell RNA-seq data from the blood and tumor of PyMT-M mouse</em></p> <p>We followed the Seurat tutorial on single-cell RNA integration from <a href="https://satijalab.org/seurat/articles/integration_introduction.html">https://satijalab.org/seurat/articles/integration_introduction.html</a>. Specifically, both datasets were library-size normalized and log-scaled. Then, variable genes from both datasets were extracted, and overlapped variable genes were used as anchors to integrate the two datasets to generate a combined immune single-cell RNA-seq dataset.</p> <p> </p> <p><em>Immune cell type annotation using SingleR</em></p> <p>After having the integrated immune single-cell RNA-sequencing data, we performed the standard pipeline for clustering, including scaling the expression data, performing dimension reduction using PCA and UMAP, and finding clusters by a shared nearest neighbor (SNN) modularity optimization (<a href="https://satijalab.org/seurat/articles/integration_introduction.html">https://satijalab.org/seurat/articles/integration_introduction.html</a>). Then, we used the R package <em>SingleR </em>to assign cell-type labels to each identified cluster using the <em>ImmGen</em> reference data from the Immunological Genome Project.</p> <p> </p>
M. leioderma Keel Evaluation Images
<p>Images of M. leioderma keels used for evaluating prominence.</p>
FIGURES 136–142. 136 head M in A revision of the Australian species of the genus Melobasis Laporte & Gory 1837 (Coleoptera: Buprestidae), Part 3 (Revision of the azureipennis, cupricollis, iridicolor and melanura species groups)
FIGURES 136–142. 136 head M. rufoviolacea sp. n. (holotype ♁). 137–142 apical ventrite: 137. M. confundo sp. n. (holotype ♀); 138. M. aurocincta Carter (J 1.5 mls N.W. of Mourangee, Q. BLC); 139. M. aurocincta Carter (♀ Mourangee Station, Q. TMSHC); 140. M. imitator sp. n. (J Cape Naturaliste, W.A. TMSHC); 141. M. imitator sp. n. (♀ paratype Port Peron, W.A. SAMA); 142. M. breviantennatus sp. n. (holotype ♀). Scale bars = 1.0 mm.
FIGURES 159–165. 159. apical ventrite M in A revision of the Australian species of the genus Melobasis Laporte & Gory 1837 (Coleoptera: Buprestidae), Part 3 (Revision of the azureipennis, cupricollis, iridicolor and melanura species groups)
FIGURES 159–165. 159. apical ventrite M. rufoviolacea sp. n. (holotype J) Scale bar = 1.0 mm. 160–161 prosternal process: Scale bars = 1.0 mm. 160. M. confundo sp. n. (holotype ♀); 161. M. rufoviolacea sp. n. (holotype ♁). 162–165 aedeagus & apex of parameres: 162–163. M. aurocincta Carter (J 1.5 mls N.W. of Mourangee, Q. BLC); 164–165. M. imitator sp. n. (Cape Naturaliste, W.A. TMSHC). Scale bars of aedeagus = 1.0 mm; scale bars for apex of parameres = 0.5 mm.
FIGURES 123–129. 123 dorsal habitus M in A revision of the Australian species of the genus Melobasis Laporte & Gory 1837 (Coleoptera: Buprestidae), Part 3 (Revision of the azureipennis, cupricollis, iridicolor and melanura species groups)
FIGURES 123–129. 123 dorsal habitus M. rufoviolacea sp. n. (holotype ♁). Scale bar = 5.0 mm. 124–129 head: 124. M. confundo sp. n. (holotype ♀); 125. M. aurocincta Carter (J 1.5 mls N.W. of Mourangee, Q. BLC); 126. M. imitator sp. n. (J Cape Naturaliste, W.A. TMSHC); 127. M. breviantennatus sp. n. (holotype ♀); 128. M. suturalis Thomson (J Hay Point, Mackay, Q. SAMA); 129. M. dentata sp. n. (holotype ♁). Scale bars = 1.0 mm.
Supplementary material 4 from: Monjaraz-Ruedas R, Mendez RW, Hedin M (2023) Species delimitation, biogeography, and natural history of dwarf funnel web spiders (Mygalomorphae, Hexurellidae, Hexurella) from the United States / Mexico borderlands. ZooKeys 1167: 109-157. https://doi.org/10.3897/zookeys.1167.103463
Ingroup + outgroup UCE concatenated ML tree. Specimen numbers correspond to those in Suppl. material 1.
GaAs WGMR for THz photonics, M. I. Suresh, H. G. L. Schwefel, D. W. Vogt, Zenodo 2023
<p>Datasets corresponding to all the results presented in the paper titled "GaAs whispering gallery mode resonators for terahertz photonics" by M. I Suresh, H. G. L. Schwefel, D. W. Vogt (2023).</p>
FIGURE 2. Erythroxylum confertifolium M. J. Silva. a in Erythroxylum confertifolium, a new species from Chapada dos Veadeiros National Park, Goiás, Brazil, unveiled by morphology and leaf anatomy
FIGURE 2. Erythroxylum confertifolium M. J. Silva. a. Habitat and habit; b. Fascicle with flower bud and open flowers; c. Longistylous flowers. d. Brevistylous flowers. e. Drupes mature and immature with red apex. (Images taken by M. J. Silva).
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.