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2,025 results for “R&D”
Figure 2 from: Leese F, Altermatt F, Bouchez A, Ekrem T, Hering D, Meissner K, Mergen P, Pawlowski J, Piggott J, Rimet F, Steinke D, Taberlet P, Weigand A, Abarenkov K, Beja P, Bervoets L, Björnsdóttir S, Boets P, Boggero A, Bones A, Borja Á, Bruce K, Bursić V, Carlsson J, Čiampor F, Čiamporová-Zatovičová Z, Coissac E, Costa F, Costache M, Creer S, Csabai Z, Deiner K, DelValls Á, Drakare S, Duarte S, Eleršek T, Fazi S, Fišer C, Flot J, Fonseca V, Fontaneto D, Grabowski M, Graf W, Guðbrandsson J, Hellström M, Hershkovitz Y, Hollingsworth P, Japoshvili B, Jones J, Kahlert M, Kalamujic Stroil B, Kasapidis P, Kelly M, Kelly-Quinn M, Keskin E, Kõljalg U, Ljubešić Z, Maček I, Mächler E, Mahon A, Marečková M, Mejdandzic M, Mircheva G, Montagna M, Moritz C, Mulk V, Naumoski A, Navodaru I, Padisák J, Pálsson S, Panksep K, Penev L, Petrusek A, Pfannkuchen M, Primmer C, Rinkevich B, Rotter A, Schmidt-Kloiber A, Segurado P, Speksnijder A, Stoev P, Strand M, Šulčius S, Sundberg P, Traugott M, Tsigenopoulos C, Turon X, Valentini A, van der Hoorn B, Várbíró G, Vasquez Hadjilyra M, Viguri J, Vitonytė I, Vogler A, Vrålstad T, Wägele W, Wenne R, Winding A, Woodward G, Zegura B, Zimmermann J (2016) DNAqua-Net: Developing new genetic tools for bioassessment and monitoring of aquatic ecosystems in Europe. Research Ideas and Outcomes 2: e11321. https://doi.org/10.3897/rio.2.e11321
Figure 2 - Overview of the structure of DNAqua-Net and interplay between the five Working Groups and the Management Committee.
Figure 2 from: Davolos D, De Matthaeis E, Latella L, Vonk R (2017) Cryptorchestia ruffoi sp. n. from the island of Rhodes (Greece), revealed by morphological and phylogenetic analysis (Crustacea, Amphipoda, Talitridae). ZooKeys 652: 37-54. https://doi.org/10.3897/zookeys.652.11252
Figure 2 - Cryptorchestia ruffoi sp. n., paratype, male (MSNVR). Lateral view.
Figure 3 from: Wu Y-D, Zhang H-R, Zhang X-C (2017) Selaginella guihaia (Selaginellaceae): A new spikemoss species from southern China and northern Vietnam around the Gulf of Tonkin. PhytoKeys 80: 41-52. https://doi.org/10.3897/phytokeys.80.11126
Figure 3 - Type of Selaginella guihaia X.C.Zhang, sp. nov. (PE).
Figure 5 from: Wu Y-D, Zhang H-R, Zhang X-C (2017) Selaginella guihaia (Selaginellaceae): A new spikemoss species from southern China and northern Vietnam around the Gulf of Tonkin. PhytoKeys 80: 41-52. https://doi.org/10.3897/phytokeys.80.11126
Figure 5 - Distribution map of Selaginella guihaia X.C.Zhang, sp. nov.
Figure 3 from: Sánchez-Peña SR, Chacón-Cardosa MC, Canales-del-Castillo R, Ward L, Resendez-Pérez D (2017) A new species of Trachymyrmex (Hymenoptera, Formicidae) fungus-growing ant from the Sierra Madre Oriental of northeastern Mexico. ZooKeys 706: 73-94. https://doi.org/10.3897/zookeys.706.12539
Figure 3 - Nest entrance of T. pakawa. Cerro de las Letras, Saltillo, Coahuila.
Figure 2 from: Garzon-Lopez C, Hattab T, Skowronek S, Aerts R, Ewald M, Feilhauer H, Honnay O, Decocq G, Van De Kerchove R, Somers B, Schmidtlein S, Rocchini D, Lenoir J (2018) The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing. Research Ideas and Outcomes 4: e25301. https://doi.org/10.3897/rio.4.e25301
Figure 2 Overlook of the "iSDM" R package functions presented in the toolbox.
Figure 4 from: Garzon-Lopez C, Hattab T, Skowronek S, Aerts R, Ewald M, Feilhauer H, Honnay O, Decocq G, Van De Kerchove R, Somers B, Schmidtlein S, Rocchini D, Lenoir J (2018) The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing. Research Ideas and Outcomes 4: e25301. https://doi.org/10.3897/rio.4.e25301
Figure 4 Image reconstruction process work flow. This process is done using GRASS GIS.
Figure 1 from: Silva AS, Pitta Groz M, Leandro P, Assis CA, Figueira R (2018) Ichthyological collection of the Museu Oceanográfico D. Carlos I. ZooKeys 752: 137-148. https://doi.org/10.3897/zookeys.752.20086
Figure 1 Number and percentage of the classes represented in the dataset.
Figure 2 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 2 The VMM monitoring network for surface water quality assessments.
Figure 5 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 5 Sampling effort of the sediment quality network (number of samples per year).
Figure 4 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 4 The VMM monitoring network for sediment quality assessments.
Figure 3 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 3 Sampling effort of the water quality network (number of samples per year).
Figure 2 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 2 Monitoring program sites (Segniagbeto et al. 2017).
Figure 3 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 3 Distribution of marine turtle occurrences by species on the Togolese coast.
Figure 1 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 1 Region of the record Datasets of sea turtles (coastal areas of Ghana, Togo and Benin).
Figure 4 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 4 Distribution of marine turtle occurrences by species and location on the Togolese coast.
Figure 2 from: Roy H, Groom Q, Adriaens T, Agnello G, Antic M, Archambeau A, Bacher S, Bonn A, Brown P, Brundu G, López B, Cleary M, Cogălniceanu D, de Groot M, De Sousa T, Deidun A, Essl F, Fišer Pečnikar Ž, Gazda A, Gervasini E, Glavendekic M, Gigot G, Jelaska S, Jeschke J, Kaminski D, Karachle P, Komives T, Lapin K, Lucy F, Marchante E, Marisavljevic D, Marja R, Martín Torrijos L, Martinou A, Matosevic D, Mifsud C, Motiejūnaitė J, Ojaveer H, Pasalic N, Pekárik L, Per E, Pergl J, Pesic V, Pocock M, Reino L, Ries C, Rozylowicz L, Schade S, Sigurdsson S, Steinitz O, Stern N, Teofilovski A, Thorsson J, Tomov R, Tricarico E, Trichkova T, Tsiamis K, van Valkenburg J, Vella N, Verbrugge L, Vétek G, Villaverde C, Witzell J, Zenetos A, Cardoso A (2018) Increasing understanding of alien species through citizen science (Alien-CSI). Research Ideas and Outcomes 4: e31412. https://doi.org/10.3897/rio.4.e31412
Figure 2 Pert chart showing the interrelationships between the Working Groups.
Figure 1 from: Roy H, Groom Q, Adriaens T, Agnello G, Antic M, Archambeau A, Bacher S, Bonn A, Brown P, Brundu G, López B, Cleary M, Cogălniceanu D, de Groot M, De Sousa T, Deidun A, Essl F, Fišer Pečnikar Ž, Gazda A, Gervasini E, Glavendekic M, Gigot G, Jelaska S, Jeschke J, Kaminski D, Karachle P, Komives T, Lapin K, Lucy F, Marchante E, Marisavljevic D, Marja R, Martín Torrijos L, Martinou A, Matosevic D, Mifsud C, Motiejūnaitė J, Ojaveer H, Pasalic N, Pekárik L, Per E, Pergl J, Pesic V, Pocock M, Reino L, Ries C, Rozylowicz L, Schade S, Sigurdsson S, Steinitz O, Stern N, Teofilovski A, Thorsson J, Tomov R, Tricarico E, Trichkova T, Tsiamis K, van Valkenburg J, Vella N, Verbrugge L, Vétek G, Villaverde C, Witzell J, Zenetos A, Cardoso A (2018) Increasing understanding of alien species through citizen science (Alien-CSI). Research Ideas and Outcomes 4: e31412. https://doi.org/10.3897/rio.4.e31412
Figure 1 Gantt chart summarizing the planned tasks of the Working Groups.
Figure 7 from: Li W, Mo R, Dong W, Yang D, Murányi D (2018) Two new species of Amphinemura (Plecoptera, Nemouridae) from the southern Qinling Mountains of China, based on male, female and larvae. ZooKeys 808: 1-21. https://doi.org/10.3897/zookeys.808.29433
Figure 7 Amphinemuraalbicauda sp. n., habitus of matured female paratype larva. Scale bar: 0.5 mm.
Figure 1 from: Li W, Mo R, Dong W, Yang D, Murányi D (2018) Two new species of Amphinemura (Plecoptera, Nemouridae) from the southern Qinling Mountains of China, based on male, female and larvae. ZooKeys 808: 1-21. https://doi.org/10.3897/zookeys.808.29433
Figure 1 Amphinemuraalbicauda sp. n., habitus of male holotype adult. Scale bar: 0.5 mm.
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.