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Figs 6-9 from: Collins N, Coronado González IM, Govaerts BVA (2019) Oecanthus mhatreae sp. nov. (Gryllidae: Oecanthinae): A new species of tree cricket from Mexico, with an irregular song pattern and unique chirp-like trill configuration. Journal of Orthoptera Research 28(2): 137-143. https://doi.org/10.3897/jor.28.33781
Figs 6-9 Oecanthus mhatreaesp. nov.: 6. Singing male showing buffy pronotum (on native plant Dasilyrion parryanum Trel.). 7. Adult female showing blotching on ventral abdomen. 8. Metanotal gland. 9. Stridulatory file and teeth.
Fig 17 from: Collins N, Coronado González IM, Govaerts BVA (2019) Oecanthus mhatreae sp. nov. (Gryllidae: Oecanthinae): A new species of tree cricket from Mexico, with an irregular song pattern and unique chirp-like trill configuration. Journal of Orthoptera Research 28(2): 137-143. https://doi.org/10.3897/jor.28.33781
Fig 17 Audio recording of the calling song of O. mhatreaesp. nov. at 17°C showing a carrier frequency of slightly above 2.6 kHz.
Figs 1-5 from: Collins N, Coronado González IM, Govaerts BVA (2019) Oecanthus mhatreae sp. nov. (Gryllidae: Oecanthinae): A new species of tree cricket from Mexico, with an irregular song pattern and unique chirp-like trill configuration. Journal of Orthoptera Research 28(2): 137-143. https://doi.org/10.3897/jor.28.33781
Figs 1-5 Oecanthus mhatreaesp. nov.: 1. Light brown male. 2. Light olive tone male. 3. Adult female head and pronotum. 4. Antennal markings on holotype male. 5. Antennal markings on paratype female.
Figs 14-16 from: Collins N, Coronado González IM, Govaerts BVA (2019) Oecanthus mhatreae sp. nov. (Gryllidae: Oecanthinae): A new species of tree cricket from Mexico, with an irregular song pattern and unique chirp-like trill configuration. Journal of Orthoptera Research 28(2): 137-143. https://doi.org/10.3897/jor.28.33781
Figs 14-16 Waveforms of the calling song of O. mhatreaesp. nov. at 17°C: 14. Chirping for 15 seconds. 15. Three chirps. 16. A single chirp (0.5 sec duration) with 26 ungrouped pulses.
Fig 19 from: Collins N, Coronado González IM, Govaerts BVA (2019) Oecanthus mhatreae sp. nov. (Gryllidae: Oecanthinae): A new species of tree cricket from Mexico, with an irregular song pattern and unique chirp-like trill configuration. Journal of Orthoptera Research 28(2): 137-143. https://doi.org/10.3897/jor.28.33781
Fig 19 Comparisons of song patterns, single chirps and single bursts of trilling. O. mhatreaesp. nov. recorded in Querétaro. All remaining recordings in library of NC. Oecanthus leptogrammus and O. allardi recorded in Nicaragua; remaining species recorded in the United States.
Figure 9 from: Bergeron C, Spence J, Volney J (2011) Landscape patterns of species-level association between ground-beetles and overstory trees in boreal forests of western Canada (Coleoptera, Carabidae). ZooKeys 147: 577-600. https://doi.org/10.3897/zookeys.147.2098
Figure 9 - Figure 9. Drainage values for the 193 sites plotted on the beetle ordination of figure 2. High drainage values represent poorly drained sites.
Figure 6 from: Bergeron C, Spence J, Volney J (2011) Landscape patterns of species-level association between ground-beetles and overstory trees in boreal forests of western Canada (Coleoptera, Carabidae). ZooKeys 147: 577-600. https://doi.org/10.3897/zookeys.147.2098
Figure 6 - Figure 6. Relative basal area of Populus tremuloides for the 193 sites plotted on the beetle ordination of figure 2.
Figure 4 from: Bergeron C, Spence J, Volney J (2011) Landscape patterns of species-level association between ground-beetles and overstory trees in boreal forests of western Canada (Coleoptera, Carabidae). ZooKeys 147: 577-600. https://doi.org/10.3897/zookeys.147.2098
Figure 4 - Figure 4. Relative basal area of Abies balsamea for the 193 sites plotted on the beetle ordination of figure 2.
Figure 5 from: Bergeron C, Spence J, Volney J (2011) Landscape patterns of species-level association between ground-beetles and overstory trees in boreal forests of western Canada (Coleoptera, Carabidae). ZooKeys 147: 577-600. https://doi.org/10.3897/zookeys.147.2098
Figure 5 - Figure 5. Relative basal area of Populus balsamifera for the 193 sites plotted on the beetle ordination of figure 2.
Figure 8 from: Bergeron C, Spence J, Volney J (2011) Landscape patterns of species-level association between ground-beetles and overstory trees in boreal forests of western Canada (Coleoptera, Carabidae). ZooKeys 147: 577-600. https://doi.org/10.3897/zookeys.147.2098
Figure 8 - Figure 8. Relative basal area of Larix laricina for the 193 sites plotted on the beetle ordination of figure 2.
Figure 7 from: Bergeron C, Spence J, Volney J (2011) Landscape patterns of species-level association between ground-beetles and overstory trees in boreal forests of western Canada (Coleoptera, Carabidae). ZooKeys 147: 577-600. https://doi.org/10.3897/zookeys.147.2098
Figure 7 - Figure 7. Relative basal area of Picea mariana for the 193 sites plotted on the beetle ordination of figure 2.
Fig. 5. Phylogenetic tree including Ornithodoros huajianensis n in Ornithodoros (Ornithodoros) huajianensis sp. nov. (Acari, argasidae), a new tick species from the Mongolian marmot (Marmota bobak sibirica), Gansu province in China
Fig. 5. Phylogenetic tree including Ornithodoros huajianensis n. sp. and other selected species of Ixodes based on 16S rDNA. The alignment was produced using Clustal X and the tree was inferred by means of the MP method with 500 replicates of random addition. The species Otobius megnini was used as outgroup. The Bayesian support (posterior probability) values are derived from 1,000,000 replicates.
FIGURE 25 in Oecanthus buxixu sp. nov. (Orthoptera: Grylloidea: Oecanthidae): A new species of tree cricket from Brazilian Amazon rainforest
FIGURE 25. Map of Oecanthus buxixu sp. nov. species geographical localization.
Figure 2. A neighbour-joining tree using 604 cytochrome c oxidase subunit I in Phylogenetic relationship among slender loris species (Primates, Lorisidae: Loris) in Sri Lanka based on mtDNA CO1 barcoding
Figure 2. A neighbour-joining tree using 604 cytochrome c oxidase subunit I (CO1) sequences from 7 different slender loris (Loris) taxas found in Sri Lanka with their external appearance.
FIGURE 3 in Cupania moralesii (Sapindaceae), a new endemic tree species from the premontane forest of Costa Rica
FIGURE 3. Distribution of Cupania moralesii according to the localities of herbarium collections.
FIGURE 4 in Boswellia occulta (Burseraceae), a new species of frankincense tree from Somalia (Somaliland)
FIGURE 4. Map of Horn of Africa and southern Arabia, showing type locality of Boswellia occulta.
Baseline and Future (2050s and 2090s) Climate Suitability Scores for 137 Useful Tree Species and 273 locations from the United Republic of Tanzania
<p>Climate suitability scores were calculated for 137 Useful Tree Species identified by filtering native tree species from the United Republic of Tanzania via the <a href="https://patspo.shinyapps.io/GlobalUsefulTrees/">GlobalUsefulNativeTrees</a> database, matching species with those described in the <a href="https://apps.worldagroforestry.org/usefultrees/">RELMA-ICRAF Useful Tree and Shrub Species for Tanzania manual</a> and checking for the availability of globally observed environmental ranges from the <a href="https://doi.org/10.5281/zenodo.13132613">TreeGOER</a> database.</p> <ul> <li>Score = 3 means that in 'environmental space' the planting site occurs within the 25% - 75% species's range (as documented in the <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16914" target="_blank" rel="noopener">TreeGOER</a> ) for all variables</li> <li>Score = 2 corresponds to the 5% - 95% species's range for all variables</li> <li>Score = 1 corresponds to the 0% - 100% species's range for all variables</li> <li>Score = 0 means that the planting site occurs outside the 0% - 100% species's range for some of the variable</li> <li>Score = -1 means that the species is not documented by TreeGOER</li> </ul> <p> </p> <p>Locations corresponded to cities within the target countries sourced from the <a href="https://doi.org/10.5281/zenodo.10004594">CitiesGOER</a> database. This database provides bioclimatic conditions for the historical (baseline) and three future climate change scenarios. Bioclimatic variables for future climates correspond to the median values from 24 Global Climate Models (GCMs) for Shared Socio-Economic Pathway (SSP) 1-2.6 for the 2050s (2041-2060), from 21 GCMs for SSP 3-7.0 for the 2050s and from 13 GCMs for SSP 5-8.5 for the 2090s.</p> <p>Investigations were made for two different sets of bioclimatic variables, allowing for sensitivity analysis:</p> <ul> <li>One set of bioclimatic variables included BIO01, BIO12, climaticMoistureIndex, monthCountByTemp10, growingDegDays5, BIO05, BIO06, BIO16, BIO17 and MCWD. These are the same bioclimatic variables available internally in the <a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobalUsefulNativeTrees</a> for climate filtering.</li> <li>One set only included BIO01 (= Mean Annual Temperature), which is the same bioclimatic variables available from the BGCI <a href="https://cat.bgci.org/">Climate Assessment Tool</a>.</li> </ul> <p>Calculations were made with similar scripting pipelines in the <em>R</em> statistical environment as documented here: <a href="https://rpubs.com/Roeland-KINDT/1168650">https://rpubs.com/Roeland-KINDT/1168650</a>. These scripts use similar calculations methods as those used for the global case studies of the TreeGOER manuscript (Kindt <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">2023</a>), and used internally in the <a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobalUsefulNativeTrees</a> online database. Interested readers should especially refer to the manuscript for further details on methods used and their justification.</p> <p>The maps show the frequency distribution of tree species with climate scores 3, 2, 1 and 0, excluding 6 species not documented by the TreeGOER.</p> <p> </p> <p>The Excel database allows filtering useful tree species by some of the attributes available in the <a href="https://patspo.shinyapps.io/GlobalUsefulTrees/">GlobalUsefulNativeTrees</a> database.</p> <p>Species can be filtered for ten categories of documented human uses (see <a href="https://kew.iro.bl.uk/concern/datasets/7243d727-e28d-419d-a8f7-9ebef5b9e03e">Diazgranados et al. 2020</a> for details):</p> <ul> <li>AF: Animal Food.</li> <li>EU: Environmental Uses.</li> <li>FU: Fuel.</li> <li>GS: Gene Sources.</li> <li>HF: Human Food.</li> <li>IF: Invertebrate Food.</li> <li>MA: Materials.</li> <li>ME: Medicines.</li> <li>PO: Poisons.</li> <li>SU: Social Uses</li> </ul> <p>Species can also be filtered for the Climatic Moisture Index (CMI). See this Zenodo archive (<a href="https://zenodo.org/records/8252756">https://zenodo.org/records/8252756</a>) to see the distribution of CMI zones across the United Republic of Tanzania. Codings refer to the species reaching the upper part of the range in the zone (code: 2), the zone being included in teh middle part of the ranage (code: 9) or the species reaching the lower part of the range in this zone (code:3).</p> <ul> <li>CMI.A (CMI ≥ 0.5 ; P >= 2 * PET; ‘extremely humid’ lands)</li> <li>CMI.B (0 ≤ CMI < 0.5 ; PET <= P < 2 * PET ; ‘very humid’ lands)</li> <li>CMI.C (−0.35 ≤ CMI < 0 ; 0.65 <= P/PET < 1 ; ‘humid’ lands)</li> <li>CMI.D ( −0.5 ≤ CMI < −0.35 ; 0.50 <= P/PET < 0.65 ; dry sub-humid drylands)</li> <li>CMI.E (−0.8 ≤ CMI < −0.5 ; 0.20 <= P/PET < 0.50 ; semi-arid drylands)</li> <li>CMI.F (−0.95 ≤ CMI < −0.8 ; 0.05 <= P/PET < 0.20 ; arid drylands)</li> <li>CMI.G (CMI < −0.95 ; P/PET < 0.05 ; hyper-arid drylands)</li> </ul> <p> </p> <p><strong>References</strong></p> <ul> <li>Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 00, 1–16. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>.</li> <li>Kindt, R. (2024). TreeGOER: Tree Globally Observed Environmental Ranges (2024.07) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.13132613" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13132613</a></li> <li>Kindt, R., Graudal, L., Lillesø, JP.B. <em>et al.</em> (2023). GlobalUsefulNativeTrees, a database documenting 14,014 tree species, supports synergies between biodiversity recovery and local livelihoods in landscape restoration. <em>Sci Rep</em> <strong>13</strong>, 12640. <a href="https://doi.org/10.1038/s41598-023-39552-1">https://doi.org/10.1038/s41598-023-39552-1</a></li> <li>Kindt, R. (2023). CitiesGOER: Globally Observed Environmental Data for 52,602 Cities with a Population ≥ 5000 (2023.10) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10004594" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10004594</a></li> <li>Kindt, R. (2024). ClimateForecasts: Globally Observed Environmental Data for 15,504 Weather Station Locations (2024.07) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.12679832" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12679832</a></li> <li>Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. <em>International Journal of Climatology</em>, <em>37</em>(12), 4302–4315. <a href="https://doi.org/10.1002/joc.5086">https://doi.org/10.1002/joc.5086</a></li> <li>Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. <em>Ecography</em>, <em>41</em>(2), 291–307. <a href="https://doi.org/10.1111/ecog.02880">https://doi.org/10.1111/ecog.02880</a></li> <li>Opendatasoft (2023) Geonames - All Cities with a population > 1000. <a href="https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/information/?disjunctive.cou_name_en&sort=name">https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/information/?disjunctive.cou_name_en&sort=name</a> (accessed 22-JULY-2023)</li> <li>Meteostat (2024) Weather stations: Lite dump with active weather stations. <a href="https://github.com/meteostat/weather-stations">https://github.com/meteostat/weather-stations</a> (accessed 17-FEB-2024)</li> <li>Diazgranados, M., Allkin, B., Black, N., Cámara-Leret, R., Canteiro, C., Carretero, J., Eastwood, R., Hargreaves, S., Hudson, A., Milliken, W. and Nesbitt, M., 2020. World checklist of useful plant species. Royal Botanic Gardens, Kew. <a href="https://knb.ecoinformatics.org/view/doi:10.5063/F1CV4G34">https://knb.ecoinformatics.org/view/doi:10.5063/F1CV4G34</a></li> </ul> <p> </p> <p><strong>Funding</strong></p> <p>The data sets and maps available in this archive were created through funding by the <strong>U. S. Agency for International Development (USAID)</strong> to CIFOR-ICRAF, here specifically in the context of the <em>On-farm Land Restoration for Livelihoods and Environmental Benefits</em> project.</p> <p> </p>
Figure 3 from: Zumstein P, Bruelheide H, Fichtner A, Schuldt A, Staab M, Härdtle W, Zhou H, Assmann T (2021) What shapes ground beetle assemblages in a tree species-rich subtropical forest? In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 907-927. https://doi.org/10.3897/zookeys.1044.63803
Figure 3 Relationships between ground beetle biomass and canopy cover (A) and herb cover (B). Black lines indicate significant relationships at p < 0.05 obtained from mixed-effects models (keeping other significant predictors fixed at their means) with grey areas indicating the 95% confidence intervals. Points (slightly jittered to improve visibility) represent observed values per trap. The fixed-effects explained 30% of the variation in ground beetle biomass.
Figure 4 from: Zumstein P, Bruelheide H, Fichtner A, Schuldt A, Staab M, Härdtle W, Zhou H, Assmann T (2021) What shapes ground beetle assemblages in a tree species-rich subtropical forest? In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 907-927. https://doi.org/10.3897/zookeys.1044.63803
Figure 4 Representatives of ground beetles from pitfall traps and flight interception traps in Gutianshan NP ACarabus kiukiangensisBCarabus davidisCLioptera erotyloidesDTricondyla macrodera.
Figure 2 from: Zumstein P, Bruelheide H, Fichtner A, Schuldt A, Staab M, Härdtle W, Zhou H, Assmann T (2021) What shapes ground beetle assemblages in a tree species-rich subtropical forest? In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 907-927. https://doi.org/10.3897/zookeys.1044.63803
Figure 2 Relationships between ground beetle species richness and canopy cover (A) and herb cover (B). Black lines indicate significant relationships at p < 0.05 obtained from mixed-effects models (keeping other significant predictors fixed at their means) with grey areas indicating the 95% confidence intervals. Points represent observed values per trap. Note that some traps had similar richness and predictor values. The fixed-effects explained 12% of the variation in ground beetle species richness.
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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.