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Fig. 1 Projected future changes for Ixodes ricinus until 2081–2100. 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. 1 Projected future changes for Ixodes ricinus until 2081–2100. 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:
Fig. 3 Projected future changes for Dermacentor marginatus 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. 3 Projected future changes for Dermacentor marginatus 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 = 0.8229 (average over 10 replicates using cross-validation, standard deviation = 0.001121953). Threshold to transform the logistic model output: 0.4298 (10% omission rate threshold). Maps were built using ESRI ArcGIS (Release 10.7, www.esri.com). Projection: Europe Albers Equal Area Conic
Linked collectors and determiners for: Checklist of vascular plants of the projected landscape reserve "Lesovyi Kanyon" (Kherson region, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "Checklist of vascular plants of the projected landscape reserve "Lesovyi Kanyon" (Kherson region, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/e67236c3-799a-47dd-b3ed-ccd8c231f0d2">https://bionomia.net/dataset/e67236c3-799a-47dd-b3ed-ccd8c231f0d2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e67236c3-799a-47dd-b3ed-ccd8c231f0d2">https://gbif.org/dataset/e67236c3-799a-47dd-b3ed-ccd8c231f0d2</a>. Formatted as a Frictionless Data package.
Fig. 3 in Unrecorded species of Korean protozoans discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 3. Photomicrographs of Cercozoa (A-C) and Euglenozoa (D). A, Euglypha tuberculate; B, general appearance of Rhogostoma minus; C, pseudopodia of R. minus (arrow); D, Parabodo caudatus, general appearance of cell, showing ventral view. Note flagellar insertion (arrow). Scale bars: A = 50 μm; B-D = 10 μm.
Fig. 2 in Unrecorded species of Korean protozoans discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 2. Photomicrographs of Amoebozoa (A-F). A, Difflugia elegans angustata; B, D. levanderi; C, lateral view of D. pecac; D, apertural view of D. pecac; E, D. viscidula; F, Nebela tincta. Scale bars = 50 μm.
Fig. 1 in Unrecorded species of Korean protozoans discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 1. Photomicrographs of Amoebozoa (A-F). A, Centropyxis aerophila sphagnicola; B, C. compressa; C, C. elongata; D, apertural view of C. cassis; E, lateral view of C. cassis; F, C. notonyx. Scale bars = 50 μm.
Fig. 4 in Unrecorded species of Korean protozoans discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 4. Photomicrographs of Ciliophora (A-H). A, B, ventral (A) and dorsal (B) view of Monomicrocaryon saprobia after protargol impregnation; C, D, general appearance of Parauronema virginianum. E, F, general appearance of Uronema nigricans; G, H, general appearance of Cyclidium varibonneti; BF, buccal field; CC, caudal cilium. Scale bars: A, B = 50 μm; C-H = 10 μm.
Fig. 2 Tomopteris pacifica. Neurogenesis. Confocal maximum projections. A in Development and structure of the anterior nervous system and sense organs in the holopelagic annelid Tomopteris spp. (Phyllodocida, Errantia)
Fig. 2 Tomopteris pacifica. Neurogenesis. Confocal maximum projections. A Early developmental stages are characterized by a large amount of yolk and a prominent prototroch (pt). B At 5 days post-fertilization (dpf), the larval stages possess four pairs of well-developed trunk appendages and a distinct prototroch (pt). Note that the anterior-most appendage (I) is uniramous while all other appendages appear biramous. C Slightly older stages show a well-developed ventral nerve cord (vnc) with outgoing parapodial neurite bundles (pn) innervating the body appendages; serotonergic somata form serial clusters along the ventral nerve cord. D A closer examination of larvae at around 6–7 dpf shows the presence of a prominent nuchal nerve (nn) innervating the nuchal organs and originating from the dorsal part of the larval brain (br). The insert shows the innervation of the nuchal organ.
Fig. 4 in Unrecorded species of Korean protozoans discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 4. Photomicrographs of Ciliophora (A-D). A, B, ventral (A) and dorsal (B) view of Hemicycliostyla sphagni after protargol impregnation; C, ventral view of Pseudokeronopsis songi from life; D, E, ventral (D) and dorsal (E) view of P. songi after protargol impregnation. Scale bars: 50 μm (A, D), 10 μm (C).
Fig. 2 in Unrecorded species of Korean protozoans discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 2. Photomicrographs of Amoebozoa (A, B) and Cercozoa (C). A, Difflugia scalpellum; B, Phryganella nidulus; C, Diaphoropodon mobile. Scale bars: 50 μm.
Fig. 3 in Unrecorded species of Korean protozoans discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 3. Photomicrographs of Ciliophora (A-D). A, B, ventral (A) and dorsal (B) view of Metauroleptus arabicus after protargol impregnation; C, ventral view of Hemicycliostyla franzi after protargol impregnation; D, E, anterior (D) and posterior (E) dorsal view of H. franzi after protargol impregnation. Scale bars: 50 μm (A, D), 10 μm (C).
Fig. 6. Tonicella undocaerulea Sirenko, 1973 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 6. Tonicella undocaerulea Sirenko, 1973. Left, Dorsal view; Right, Ventral view. Scale bar = 5 mm.
Fig. 19 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 19. Microscopic and SEM photos of Vargula ascensus Kornicker, 1979, adult female. A. lateral view from right view; B. lateral eye; C. external view from left view; D. Internal view. Scale bars: A, C, D = 1 mm, B = 100 μm.
Fig. 8 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 8. Pristina (Pristinella) jenkinae (Stephenson, 1931). A. dorsal needle chaeta; B. ventral chaeta of VI. Scale bars = 40 μm
Fig. 15 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 15. Robertgurneyella spinulosa (Sars, 1911), adult female: A. anal somite and caudal rami; B. antenna (top) and mandible (bottom); C. first swimming legs; D. second and third swimming legs; E. fourth swimming leg; F. fifth leg. Scales bars = 100 μm.
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 7. The projects's Twitter page for educational and research micro-blogging
<p>The fourth stage was the use of social media to build a social learning network based on content and experience sharing and creation. The following web 2.0 services were used as a distributed platform able to support our experimental learning system: a) Panoramio (http://www.panoramio.com/user/7606828) (Figure 6) as a geo-referenced photo-sharing service over Google Maps and Google Earth for sharing project’s essential results; b) Twitter (https://twitter.com/maps_of_time) (Figure 7), as a social network and micro-blogging service for short announcements and comments; c) Google+ (https://plus.google.com/114705936110835992130?hl=en#114705936110835992130/posts?hl=en) (Figure 8), as a platform for sharing and tagging multiple content (photo, video), blogging and video chatting service with the recent Google Hangout, for sharing educational content; d) Google Drive (Levin, 2013) for cloud storage and collaborative document editing. We also created a YouTube channel for public distribution of video content (https://www.youtube.com/TimemapsNet), (Rusu et al., 2013) and a Facebook page of Vădastra School (https://www.facebook.com/scoalaVădastra). </p>
Dataset from the inversion of methane emissions in France (ESPiGRAD project)
<p>This dataset contains the results from two inversions of methane fluxes in main-land France in 2012. The inversions assimilate surface data from the ICOS European network in an analytical framework. This study is part of the ESPiGRAD project and is described in: Isabelle Pison, Antoine Berchet, Marielle Saunois, Philippe Bousquet, Grégoire Broquet, Sébastien Conil, Marc Delmotte, Anita L. Ganesan, Olivier Laurent, Damien Martin, Simon O'Doherty, Michel Ramonet, T. Gerard Spain, Alex Vermeulen, and Camille Yver Kwok, How a European network may help with estimating methane emissions on the French national scale, Atmos. Chem. Phys., 18, 1–20, 2018, https://doi.org/10.5194/acp-18-1-2018.</p>
ECLIPS 1.1 - European CLimate Index ProjectionS database
<p>Based on the available bias corrected regional climate model results, which were created under the CORDEX project we calculated several climate indices both for past and future. (http://cordex.org/data-access/bias-adjusted-rcm-data/)</p> <p>This database contains ascii files for climate index maps with a horizontal resolution of 0.11 degree ( on a regular grid ) for Europe.</p> <p>Five GCM-RCM pairs for RCP4.5 and RCP8.5 scenarios are available for three future periods: 2041-2060, 2061-2080, 2081-2100 and one past period :1961-1990</p> <p>Additionally multi-model mean maps are available for the period 1961-1990 as a reference.</p> <p>The attached document gives information about the calculated indices and climate models ( Research paper is in prep.)</p> <p>21 zip files covers the database: 5-5 for each RCP scenarios (1 for each model) + 1 for the past period.</p> <p>File name conventions: <GCM name> <RCP scenario> <RCM name> <Index name> <period></p> <p>(GCM and RCM names are following the CORDEX name conventions)</p> <p> </p> <p>Contact: dobor.laura@gmail.com</p> <p> </p> <p> </p>
High-resolution projections of evapotranspiration and water availability for Europe under climate change
<p>Europe-wide high-resolution (1 km) gridded data of estimates of monthly and annual potential evapotranspiration (ET0), annual actual evapotranspiration (AET0) and water availability for a climate normal period largely preceding an anthropogenic warming signal (1961-1990) and for two CMIP5 multimodel future projections (2011-2040 and 2041-2070). In the ET0 calculation, the monthly and annual heat index <em>I</em> and annual <em>α</em> parameter were estimated following the Thornthwaite method, and AET0 was calculated using the Budyko approach.</p> <p>For citations and more details, please refer to "High-resolution projections of evapotranspiration and water availability for Europe under climate change" by Ştefan Dezsi, Marcel Mândrescu, Dănuţ Petrea, Praveen Kumar Rai, Andreas Hamann, Mărgărit-Mircea Nistor, published in <em>International Journal of Climatology</em> (<a href="https://doi.org/10.1002/joc.5537">https://doi.org/10.1002/joc.5537</a>)</p>
Digital Agathemerus Project
<p>This release includes all the primary data produced between 2015 and 2018, which form the backbone of the Digital Agathemerus Project. For more information, go to <a href="http://www.digitalagathemerus.org">http://www.digitalagathemerus.org</a>.</p>
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.