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Fig. 3 in New insights in the taxonomy of Lepismatidae (Insecta, Zygentoma) with an updated key to genera and future challenges
Fig. 3. Pronged sensilla of the apical article of the maxillary palp of some subfamilies of Lepismatidae Latreille, 1802, SEM photographs. A. Three pronged sensilla in Heterolepisma sp., with short and wide base and several (8–9) finger-like projections. B. One pronged sensilla (arrow) in Allacrotelsa kraepelini (Escherich, 1905), with long base and few finger-like projections. C. One of the three narrow multipronged sensilla of the ultimate article of the maxillary palp of Visma spp. They are probably homologous with the sensilla seen in Allacrotelsa Silvestri, 1935 and other Lepismatinae Latreille, 1802 but the other two have been lost. Scale bars: A = 0.1 mm; B = 50 μm; C = 25 μm.
Fig. 4 in New insights in the taxonomy of Lepismatidae (Insecta, Zygentoma) with an updated key to genera and future challenges
Fig. 4. Arrangement and number of labial papillae in Lepismatidae Latreille, 1802. A. Five labial palp papillae ofAllacrotelsa kraepelini (Escherich, 1905), forming a circle; this arrangement can be interpreted as 3+2 (two rows). B. Labial palp papillae (five in one row) of Thermobia domestica (Packard, 1873). C. Micrograph of the apical article of the labial palp of Ctenolepisma longicaudatum Escherich, 1905 from Netherlands, showing 8 papillae on a single row (in this species, the number of papillae is variable, from 5 to 12). Scale bars: A = 0.2 mm; B = 20 μm; C = 50 μm.
Data from: Integrating genomic data and simulations to evaluate alternative species distribution models and improve predictions of glacial refugia and future responses to climate change
<p>Climate change poses a threat to biodiversity, and it is unclear whether species can adapt to or tolerate new conditions, or migrate to areas with suitable habitats. Reconstructions of range shifts that occurred in response to environmental changes since the last glacial maximum from species distribution models (SDMs) can provide useful data to inform conservation efforts. However, different SDM algorithms and climate reconstructions often produce contrasting patterns, and validation methods typically focus on accuracy in recreating current distributions, limiting their relevance for assessing predictions to the past or future. We modeled historically suitable habitat for the threatened North American tree green ash (<em>Fraxinus pennsylvanica</em>) using 24 SDMs built using two climate models, three calibration regions, and four modeling algorithms. We evaluated the SDMs using contemporary data with spatial block cross-validation and compared the relative support for alternative models using a novel integrative method based on coupled demographic-genetic simulations. We simulated genomic datasets using habitat suitability of each of the 24 SDMs in a spatially-explicit model. Approximate Bayesian Computation (ABC) was then used to evaluate the support for alternative SDMs through comparisons to an empirical population genomic dataset. Models had very similar performance when assessed with contemporary occurrences using spatial cross-validation, but ABC model selection analyses consistently supported SDMs based on the CCSM climate model, an intermediate calibration extent, and the generalized linear modeling algorithm. Finally, we projected the future range of green ash under four climate change scenarios. Future projections using the SDMs selected via ABC suggest only minor shifts in suitable habitat for this species, while some of those that were rejected predicted dramatic changes. Our results highlight the different inferences that may result from the application of alternative distribution modeling algorithms and provide a novel approach for selecting among a set of competing SDMs with independent data.</p>
Dataset: Faraday Future Intelligent Electric Inc. (FFIE) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
How much energy can giant reed and Miscanthus produce in marginal lands across Italy? A modelling solution under current and future scenarios
<p>This data were presented in the research paper “How much energy can giant reed and Miscanthus produce in marginal lands across Italy? A modelling solution under current and future scenarios”, currently accepted in the journal Global Change Biology Bioenergy (https://onlinelibrary.wiley.com/journal/17571707).<br>The study delivers a model-based evaluation of how much energy, in the form of biomethane and bioethanol, can be produced by giant reed and Miscanthus across Italy in 2000, 2055 and 2085. Marginal lands were defined as low profitable non-irrigated lands, without mechanization and/or nature conservation limitations. Our findings offer an estimation of achievable energy yields and related stability under current/future climate, identifying critical spots and opportunities at province and regional level across Italy.<br>This work was conducted by the Council for Agricultural Research and Economics and supported by the Italian Ministry of Agricultural, Food and Forestry Policies (MiPAAF) under i) the AGROENER project (D.D. n. 26329, April 1, 2016, http://agroener.crea.gov.it/) and ii) the AgriDigit-Agromodelli project (DM n. 36502 of 20/12/2018, https://www.progettoagridigit.it/il-progetto).</p> <p><br>The database used was split in two main datasets, one for the national case study and one for the provincial case study (Bologna province).<br>The national dataset consists of:<br>1) a gridded shape file (Marginal_Suitable_Areas_National.shp; 500 x 500 m resolution) including marginal lands suitable for Miscanthus and giant reed cultivation across Italy (code_nod field), together with related geographic coordinates;<br>2) a csv file (Results_National.csv) reporting the values of key output variables for each of the marginal lands considered. Output variables are:<br>a. USDA soil texture classification: 1= Loamy, 2=Sandy−loam, 3=Silty−loam, 4= Clay−loam, 5= Sandy−clay−loam, 6=Silty−clay−loam, 7=Loamy−sand, 8=Sandy−clay, 9=Silty−clay, 10=Silty, 11=Clay, 12=Heavy−clay, 13=Sandy.<br>b. soil organic carbon (SOC) classification: SOC≤1.5%=low, 1.5%<SOC≤3%,=medium, otherwise=high;<br>c. maximum soil depth (depth) classification: depth≤50 cm=shallow, otherwise=deep;<br>d. absolute values of aboveground biomass (AGB, Mg ha-1) and energy yields (Giga J ha-1) obtainable from bioethanol (ETA) and biomethane (MET) energy carriers simulated for giant reed (GR) and Miscanthus (MI) in the current scenario;<br>e. minimum (Mn) and maximum (Mx) AGB percentage (%) variations (compared to the baseline) estimated in 2055 (55) and 2085 (85) for RCP 4.5 (4.5) and RCP 8.5 (8.5) scenarios;<br>f. potentially assignable marginal lands to Miscanthus (2) and giant reed (1) crop species in Italy based on attainable energy yields under current (C_Base) and future (2085) time slices, considering the more pessimistic (C_8.5_85_MIN) and optimistic (C_4.5_85_MAX) AGB projection for both crops.</p> <p><br>The provincial dataset (case study in the Bologna province) consists of:<br>1) a gridded shape file (Marginal_Suitable_Areas_Provincial.shp, 500 x 500 m resolution) including marginal lands suitable for Miscanthus and giant reed cultivation across the Bologna province (code_nod field), together with related geographic coordinates;<br>2) a csv file (Results_Provincial.csv) reporting the values of key output variables for each of the marginal lands considered. Output variables are:<br>a. absolute values of simulated energy (EN, Giga J ha-1) from bioethanol (ETA) and biomethane (MET) for giant reed (GR) and Miscanthus (MI) in 1995,<br>b. energy percentage variations (compared to the baseline) estimated in 2085 for more optimistic (EN_Mx, i.e., RCP 4.5_max) and pessimistic (EN_Mn, i.e., RCP 8.5_min) projections for giant reed (GR) and Miscanthus (MI) and<br>c. coefficients of variations (CV, %) computed for the whole 30-year period centred on 1995 (B) and 2085 for RCP 4.5_max (CV_Mx) and RCP 8.5_min (CV_Mn) for giant reed (GR) and Miscanthus (MI) in the Bologna province.</p>
Data for: Flexible emulation of the climate warming cooling feedback to globally assess the maladaptation implications of future air conditioning use
<p>This dataset contains the code and the data files needed to create the figures shown in the paper titled "Flexible emulation of the climate warming cooling feedback to globally assess the maladaptation implications of future air conditioning use".</p>
Fig. 4 in Myxosporean parasites in Australian frogs: Importance, implications and future directions
Fig. 4. Hypothetical life cycle and transmission routes of Cystodiscus species. Understanding of the life cycle and timing of infection will provide invaluable information to wildlife disease managers to mitigate the impact of myxosporean parasite. The majority of myxosporean parasite life cycles alternate between a vertebrate host and an invertebrate host, in the case of Cystodiscus it is frogs and an unknown invertebrate (green box) (1). The vertebrate host sheds myxospores (grey square, right) that infect an invertebrate host that produces actinospores (grey square, left) (2). Actinospores are the infective stages for vertebrate hosts (frogs). It is unknown at what stage of development amphibians are susceptible to infection (3), Cystodiscus spp. have been found in both tadpoles and adults. It is possible that spawn, tadpole, metamorph or an adult frog can be infected by actinospores (red arrows, green outlined square). It is unknown if infection can be shed during development or if it is passed on during metamorphosis or spawning (blue arrows, green outlined square).
Fig. 2 in Myxosporean parasites in Australian frogs: Importance, implications and future directions
Fig. 2. Emergence of Cystodiscus parasites across eastern Australia from 1960–2011. All locations (red square) represent records for Cystodiscus spp. from one or more frogs. Both published and unpublished data were used to compile the distribution map (Delvinquier, 1986; Hartigan et al., 2010;, 2012a, 2012b, 2012c, 2012d; Supplementary Table 1). The data are split into 1960–1990 (A) and 1991–2011 (B) to show recent records in western New South Wales and South Australia.
Fig. 1 in Myxosporean parasites in Australian frogs: Importance, implications and future directions
Fig. 1. Summary of myxosporean parasites recorded in Australian frogs. The frog species are sorted according to IUCN Red List conservation status [http:// www.iucnredlist.org/], note, the Cane toad (Rhinella marina) is listed as exotic pest species introduced to Australia in 1935. Myxosporean frog host species belong to three out of five frog families present in Australia; genus Litoria (family Hylidae), Limnodynastes (family Myobatrachidae) and Rhinella (family Bufonidae). Distribution for each species in Australia (black) is shown according to Frogs Australia [www.frogs.org.au]. Myxosporean development and myxospores are shown as column under each frog species. For Cystodiscus species either brain (CNS) or liver development is shown in form of a histological section and line drawing of myxospore. Spore measurements according to Hartigan et al. 2012b for C. australis 15·0–18·0 × 8·0–10·0 µm, for C. axonis 13·0–15·0 × 8·0–10·0 µm. For Myxobolus species gonad development is shown in form of a histological section and line drawing of myxospore. Absence of a record of development or myxospores is shown as – not known. Presence of myxospores, but absence of a record of development is shown as – likely (not seen). Development of M. hylae has been published by (Johnston and Bancroft (1918) and (Berger, 2001. Diseases in Australian frogs. PhD thesis, James Cook University, Townsville), but not recorded by authors during 2007–2011. M. fallax spore measurements according to Browne et al. 2002 12.6–14.6 × 8.3–10.6 µm (no noticeable variation between fresh and formalin fixed material). M. hylae myxospores according to Johnston and Bancroft (1918) measured 8–10 × 7–8 µm. L. lesueuri, L. raniformis and L. castanea photos courtesy of David Hunter.
Fig. 3 in Myxosporean parasites in Australian frogs: Importance, implications and future directions
Fig. 3. Cystodiscus species and Myxobolus species of frogs. Worldwide records of described Cystodiscus species (blue) based on gallbladder myxospores and Myxobolus species (orange) based on myxospores in gonad of amphibians. Note: Only descriptions down to species level are included, i.e., Myxobolus sp. are not included.
Fig. 2 in Past, present and future of host‾parasite co-extinctions
Fig. 2. Comparison between helminth parasite diversity (for Acantocephala, Cestoda, Monogenea, Nematoda and Trematoda) in vertebrates (amphibians, birds, fish, mammals and reptiles) estimated using, respectively, the approach by Poulin and Morand (2004) (dark grey) and the more recent approach proposed by Strona and Fattorini (2014a) (light grey). Data were obtained from Table 1 in Strona and Fattorini (2014a).
Fig. 7 in Past, present and future of host‾parasite co-extinctions
Fig. 7. Schematic representation of the possible different parasitological consequences of a biological invasion. A: The invader loses its parasite and does not get local parasites; B: The invader loses its parasites and gets new ones from native hosts; C: The invader retains its parasites and these establish new symbioses with local species; D: The invader retains its parasites and acquire new parasites from local hosts; its parasites establish new symbioses with local host species; E: The invader does not lose its parasites, does not get new ones from native hosts, and its parasites do not expand their host range.
Fig. 6 in Past, present and future of host‾parasite co-extinctions
Fig. 6. Example of asymmetry of interactions as observed in all host parasite records available from FishPest dataset (Strona and Lafferty, 2012). The graph shows the relationship between the maximum specificity of the parasites using a certain host species, and the parasite richness on that host species. Boxplots correspond to different classes of hosts identified on the basis of the maximum specificity of their parasites. Thus, the first boxplot provides information on parasite species richness of all fish species whose most specific parasite uses just one host. It is apparent that specific parasites tend to use hosts harboring many parasites, while species-poor parasitofaunas are often composed by generalist parasites. Boxes indicate first and third quartiles, whiskers indicate range values, and horizontal lines indicate median values.
Fig. 5 in Past, present and future of host‾parasite co-extinctions
Fig. 5. Graph showing the relationship between fish parasite specificity and the corresponding average vulnerability of the hosts used by those parasites. Data were obtained using the same data and procedure as in Strona et al. (2013), computing mean host vulnerability values for different parasite host range classes. Differently from Strona et al. (2013), however, classes were defined using a logarithmic progression instead of a geometric one, resulting in an even tighter relationship between log(host range) and mean host vulnerability (rs = 0.93; p <0.05).
Fig. 3 in Past, present and future of host‾parasite co-extinctions
Fig. 3. Distribution of parasite specificity expressed as the logarithm of host range size in fish (A) and terrestrial vertebrates (B). Data for fish parasites (Acantocephala, Cestoda, Monogenea, Nematoda and Trematoda) were collected from FishPest (Strona and Lafferty, 2012). Data for parasites of terrestrial vertebrates (Acantocephala, Cestoda, Nematoda and Trematoda for amphibians, birds, mammals and reptiles) were collected from the Natural Museum History database (http://www.nhm.ac.uk). Since (as to June 11th 2015) all amphibians in the database are erroneously classified as reptiles, information was corrected using Catalogue of Life (http://www.catalogueoflife.org/). Y-axes indicate parasite species numbers.
Script and Data Repository - "Future food prices will become less sensitive to agricultural market prices and mitigation costs" Chen et al.
<p>MAgPIE Model outputs and scripts for analysis of markups, based on MarkupsChen package version 1.2 available here: https://github.com/caviddhen/MarkupsChen/releases/tag/v1.2</p> <p> </p> <p> </p>
Fig. 4 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 4 Area projected as suitable or unsutable under current and future (2081–2100) climatic conditions (km2) for the three tick species in comparison. a Ixodes ricinus. b Dermacentor reticulatus. c D. marginatus. The corresponding maps are shown in Figs. 1–3 in the main document. Future suitable conditions refers to the area (km2) projected as unsuitable under current climatic conditions but suitable under future climatic conditions (i.e., potential new range). Continuing suitable conditions refers to area (km2) projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable presence). Continuing unsuitable conditions refers to area (km 2) projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e. stable absence). Future unsuitable conditions refers to the area (km.2) projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction)
Fig. 2 Projected future changes for Dermacentor reticulatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 2 Projected future changes for Dermacentor reticulatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585. In dark blue: area projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction). In light blue: area projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e., stable absence). In orange: area projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable range). In red: area projected as unsuitable under current climatic conditions but suitable under future climatic conditions (i.e., potential new range). AUC = 0.8333 (average over 10 replicates using cross-validation, standard deviation = 0.001113603). Threshold to transform the logistic model output: 0.3816 (10% omission rate threshold). Maps were built using ESRI ArcGIS (Release 10.7, www.esri.com). Projection: Europe Albers Equal Area Conic
Fig. 2 Projected future changes for Dermacentor reticulatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 2 Projected future changes for Dermacentor reticulatus until 2080–2100. a SSP 126. b SSP 245. c SSP 370. d SSP 585. In dark blue: area projected as suitable under current climatic conditions but unsuitable under future climatic conditions (i.e., potential extinction). In light blue: area projected as unsuitable under current climatic conditions as well as under future climatic conditions (i.e., stable absence). In orange: area projected as suitable under current climatic conditions as well as under future climatic conditions (i.e., stable
Fig. 4 in Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
Fig. 4 Area projected as suitable or unsutable under current and future (2081–2100) climatic conditions (km2) for the three tick species in comparison. a Ixodes ricinus. b Dermacentor reticulatus. c D. marginatus. The corresponding maps are shown in Figs. 1–3 in the main document. Future suitable conditions refers to the area (km2) projected as unsuitable under current climatic conditions but suitable under future climatic conditions (i.e., potential new range). Continuing suitable conditions refers to area (km2) projected as suitable under
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.