Find research datasets worth reusing

Fig. 7. Plumatella reticulata Wood 1988. A in Freshwater bryozoans of Korea-observations on living colonies and three new records

Fig. 7. Plumatella reticulata Wood 1988. A, Sessoblasts; B, Reticulated irregular ridges on the frontal fenestra of A; C, Annulus; D, Lateral wall, sessoblast. Scale bars: A = 100 μm, B, C = 50 μm, D = 30 μm.

Fig. 4 in Freshwater bryozoans of Korea-observations on living colonies and three new records

Fig. 4. Hyalinella punctata (Hancock, 1850). A, Habitat, paddlewheel (white arrows: colonies); B, Tentacles; C, Floatoblast, young floatoblast in zooid. Scale bars: A = 2 cm, B = 500 μm, C = 300 μm.

Fig. 5. Plumatella casmiana Oka, 1907. A in Freshwater bryozoans of Korea-observations on living colonies and three new records

Fig. 5. Plumatella casmiana Oka, 1907. A, Colony (white arrow); B, Leptoblast; C, Dorsal view, Sessoblast; D, Lateral view, sessoblast. Scale bars: A= 2 mm, B-D = 100 μm.

Fig. 2 in Freshwater bryozoans of Korea-observations on living colonies and three new records

Fig. 2. Lophopodella carteri (Hyatt, 1866). A, Colony (white arrow); B, Floatoblast. Scale bars: A = 3 mm, B = 500 μm.

Fig. 1. Map showing the sampling localities from 2014 in Freshwater bryozoans of Korea-observations on living colonies and three new records

Fig. 1. Map showing the sampling localities from 2014 to 2016. 1, Hyangho Reservoir; 2, Sunpo Wetland; 3, Maok Reservoir; 4, Banbyeon Stream; 5, Sangju Weir; 6, Nakdan Weir; 7, Chilgok Weir; 8, Samunjin Bridge; 9, Dalseong Weir; 10, Hapcheon-Changnyeong Weir; 11, Changnyeong-Haman Weir; 12, Namji Bridge; 13, Ojori Pond; 14, Wonmul Pond; 15, Geumoreum; 16, Sasaengi Pond; 17, Suwori Pond; 18, Bungurut Pond; 19, Yongsu Reservoir; 20, Susan Reservoir; 21, Songhyeon Reservoir; 22, Jogang Reservoir; 23, Juksan Weir; 24, Yeongsan River; 25, Seungchon Weir; 26, Cheongam Pond; 27, Gwangju Reservoir; 28, Dongrim Reservoir; 29, Aedang Reservoir; 30, Andeok Reservoir; 31, Chongho Reservoir; 32, Mangyeong Stream; 33, Mangyeong River; 34, Daewi Reservoir; 35, Wonsu Reservoir; 36, Geumma Reservoir; 37, Dochon Reservoir; 38, Sungrim Reservoir; 39, Seoji Reservoir; 40, Geumgang Estuary; 41, Heungrim Reservoir; 42, Bongseon Reservoir; 43, Ungpo Bridge; 44, Mujigae Bridge; 45, Tapjeong Reservoir; 46, Hwangsan Bridge; 47, Juhang Reservoir; 48, Bocheong Stream; 49, Daecheong Reservoir; 50, Gap Stream; 51, Sejong Weir; 52, Daegyo Stream; 53, Gongju Weir; 54, Bakje Weir; 55, Changgi Reservoir; 56, Suryong Reservoir; 57, Malli Reservoir; 58, Jakcheon Reservoir; 59, Nongdari Stone Bridge; 60, Chopyeong Reservoir; 61, Baekgok Stream; 62, Miho Stream; 63, Baekgok Reservoir; 64, Daetgol Reservoir; 65, Chungju Reservoir; 66, Mungwang Reservoir; 67, Gwanghyewon Reservoir; 68, Gangcheon Weir; 69, Yeoju Weir; 70, Ipo Weir.

opencc-by-4.0Dec 2018View details →

Figs 131–138. Living specimens and habitats. 131 in Revision of the genus Callipia Guenée, 1858 (Lepidoptera, Geometridae), with the description of 15 new taxa

Figs 131–138. Living specimens and habitats. 131. Callipia rosetta Thierry-Mieg, 1904, ♂, Ecuador, Loja province, Podocarpus National Park, Cajanuma, 2897 m, 26 Mar. 2011. The specimen was attracted to light and benumbed. 132. Elfin forests are a habitat of C. rosetta Thierry-Mieg, 1904 and C. walterfriedlii sp. nov., Ecuador, Loja province, Podocarpus National Park, Cajanuma, 3000 m, 30 Jan. 2013. 133. C. walterfriedlii sp. nov., ♀, Ecuador, Loja province, Podocarpus National Park, Cerro Toledo, 2938 m, 27. Feb. 2013. The specimen was attracted to light and benumbed. 134. Habitat (elfin forest) of C. walterfriedlii sp. nov. at Cerro Toledo. 135. C. augustae sp. nov., ♂, Peru, Cusco province, Wayqecha station, 2900 m, 26 Aug. 2016. The specimen was collected at night, trapped, photographed and released the next morning. 136. Habitat of C. augustae sp. nov. and Callipia sp. near Wayqecha station. 137. C. augustae sp. nov., ♂, Peru, Cusco province, road Wayqecha–Pillcopata, 2284 m, 23 Aug. 2016. The specimen was attracted to UV light and tried to take up fluid (see proboscis). 138. Callipia sp. at Wayqecha station, 4 Sep. 2016. This specimen was attracted to UV light, but escaped into the vegetation when disturbed.

opencc-by-sa-4.0Feb 2018View details →

Dataset of Axon Segmentation and Centerlines, Acquired using a Two-photon Microscope in the Live Mouse Cortex

This dataset contains 20 images of real axons that were published previously in Bass et al (2017). This subset dataset has been added labels of binary images for segmentation of the axons, and of centerline for tracing of the axons. We provide the following: <ul> <li>Images-MAX: 2D images of axons (.png)</li> <li>Images-TIFF: 3D images of axons (.tiff)</li> <li>Labels-binary: Manual segmentation of the axons as binary images (.png)</li> <li>Labels-tracing: Manual tracing of the axons (.swc)</li> </ul> This data was collected in the live mouse cortex, using a two-photon microscope, with a 40x objective, at zoom 4, and with a resolution of 512 × 512 pixels, 0.147 μm per pixel for the x, y planes, and 1 μm for the z plane. .  Please cite the following papers when using this dataset: T. Dai, M. Dubois, K. Arulkumaran, J. Campbell, B. Billot, C. Bass, Z. Uslu, V. De Paola, C. Clopath, and A. A. Bharath. Deep reinforcement learning for subpixel neural tracking. Medical Imaging with Deep Learning. 2019. Bass C, Helkkula P, De Paola V, Clopath C, Bharath AA. Detection of axonal synapses in 3D two-photon images. Giniger E, ed. PLoS ONE. 2017;12(9):e0183309. doi:10.1371/journal.pone.0183309.

opencc-by-4.0May 2018View details →

(05)-Strobl2018A-DS0001 – Tribolium castaneum AGOC{Zen1'#O(LA)-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

(05)-Strobl2018A-DS0001 – Tribolium castaneum AGOC{Zen1'#O(LA)-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

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(05)-Strobl2018A-DS0003 – Tribolium castaneum AGOC{ARP5'#O(LA)-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

(05)-Strobl2018A-DS0003 – Tribolium castaneum AGOC{ARP5'#O(LA)-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

opencc-by-4.0May 2018View details →

(05)-Strobl2018A-DS0002 – Tribolium castaneum AGOC{ARP5'#O(LA)-mEmerald} #1 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

(05)-Strobl2018A-DS0002 – Tribolium castaneum AGOC{ARP5'#O(LA)-mEmerald} #1 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

R replication code and data for: Do modern hunter-gatherers live in marginal habitats?

Data and R replication code for testing the Marginal Habitat Hypothesis. The R code files contain all models and are organized by the figures they generate for the associated paper. The data are sourced from: 1) the Standard Cross Cultural Sample (SCCS). 2) NASA Moderate Resolution Imaging Spectroradiometer (MODIS) NPP data (MOD17A3 algorithm) from Numerical Terra Dynamic Simulation Group at the University of Montana. 3) Marine Ecoregions Of the World (MEOW): <a href="http://maps.tnc.org/files/metadata/MEOW.xml">http://maps.tnc.org/files/metadata/MEOW.xml</a> 4) Terrestrial Ecoregions Of the World (TEOW): <a href="http://maps.tnc.org/files/metadata/TerrEcos.xml">http://maps.tnc.org/files/metadata/TerrEcos.xml</a>

EMAC-L90MA-SD output used in "Stratospheric Injection of Brominated Very Short-Lived Substances: Aircraft Observations in the Western Pacific and Representation in Global Models"

Output of halocarbons, inorganic bromine, and tropopause pressure from EMAC-L90MA-SD used in: Wales et al., Stratospheric Injection of Brominated Very Short-Lived Substances: Aircraft Observations in the Western Pacific and Representation in Global Models." Journal of Geophysical Research: Atmospheres, (2018). The EMAC-L90MA-SD simulation uses ERA-Interim meteorology and was prepared according to:  Jöckel, P., Tost, H., Pozzer, A., Kunze, M., Kirner, O., Brenninkmeijer, C. A. M., Brinkop, S., Cai, D. S., Dyroff, C., Eckstein, J., Frank, F., Garny, H., Gottschaldt, K.-D., Graf, P., Grewe, V., Kerkweg, A., Kern, B., Matthes, S., Mertens, M., Meul, S., Neumaier, M., Nützel, M., Oberländer-Hayn, S., Ruhnke, R., Runde, T., Sander, R., Scharffe, D., & Zahn, A.: Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51, Geoscientific Model Development, 9, 1153–1200, doi: 10.5194/gmd-9-1153-2016, URL <a href="http://www.geosci-model-dev.net/9/1153/2016/">http://www.geosci-model-dev.net/9/1153/2016/</a> (2016) For further details, please contact Patrick Joeckel (Patrick.Joeckel@dlr.de) and Phoebe Graf (Phoebe.Graf@dlr.de)

opencc-by-sa-4.0Apr 2018View details →

Time-lapse (4D) volumetric fluorescence microscopy image sequence of a living zebrafish embryo

The dataset contains a time-lapse (4D) volumetric fluorescence microscopy image sequence of a living zebrafish embryo (cxcr4aMO). The sequence has been captured with a confocal laser-scanning microscope during zebrafish gastrulation and shows endodermal cells that have been fluorescently labelled. The sequence is best viewed with Fiji (https://fiji.sc/) and can be loaded into Matlab with tiffread.m (http://www.cytosim.org/misc/index.html). For the treatment of the specimen see: S. Nair and T. F. Schilling. Chemokine signaling controls endodermal migration during zebrafish gastrulation. Science, 322(5898):89–92, October 2008.

Review of Recent Trends in Measuring the Computing Systems Intelligence-Figure 3. Intelligence of different living creature (accessed 01.11.2017). 3.1. A painting elephant (http://www.wittyfacts.com/suda-the-painting-elephant/); 3.2. A common octopus (https://en.wikipedia.org/wiki/Octopus). 3.3. An African grey parrot (https://en.wikipedia.org/wiki/Grey_parrot)

Many observations proved that octopus species have an impressive spatial learning capacity, advanced navigational abilities, and advanced predatory techniques. The dexterity is important for using and manipulating tools. Zullo, Sumbre, Agnisola, Flash, & Hochner, (2009) studied the successful dexterity of octopuses. They have highly sensitive suction cups and prehensile arms, squid, and cuttlefish. This allows them to hold and manipulate objects. The motor skills of octopuses (Figure 3.2) do not seem to depend upon mapping their body. Some species of parrots are able to mimic very well the human speech. There were performed many studies with parrots that shown that some individuals are able to associate words with their meanings. Another observed ability is to form simple sentences. It has been shown that some grey parrots perform at the cognitive level of a 3-year-old child in some tasks. Pepperberg (2006) proved that some parrots can count up to 6. Figure 3.3 presents a frequently studied species of parrots, called African grey parrot.

Review of Recent Trends in Measuring the Computing Systems Intelligence-igure 2. Intelligence of different living creature (accessed 01.11.2017). 2.1. A crow solving a complex task (https://www.disclose.tv/spooky-genius-crow-had-to-be-removed-from-scientific-experiment- 314886). 2.2. A group of dolphins with a social behaviour (http://www.sciencemag.org/news/2012/04/teamwork-builds-big-brains); 2.3. An orangutan that use a spear to fish (https://primatology.net/2008/04/29/orangutan-photographed-using-tool-as-spear-to-fish)

Some species of birds have been shown capable of using different tools. Many studies consider the crows as very intelligent. Smirnova, Lazareva, and Zorina (2000) suggested that crows have some kind of numerical ability. Figure 2.1 presents a crow that uses a tool, a small stone in order to catch a worm from a glass of water.The dolphins in many studies are considered intelligent at the individual level. An advanced ability of dolphins is the self-awareness. Marten and Psarakos (1995) presented an interesting study based on self-view television to distinguish between self-examination and social behavior in the Bottlenose dolphin. The most well-known abilities of dolphins are to teach, learn and cooperate. Dolphins have a complex communication and social behaviour. Figure 2.2 presents the image of a common group of dolphins. Some studies prove that primates are one of the most intelligent in the class of animals (Reader, Hager, & Laland, 2011). Orangutans are one of the most intelligent primates. The ability of orangutans to use different types of tools in order to perform tasks is well-known. Figure 2.3 presents an orangutan that uses a spear to catch fish. The orangutans can be considered intelligent at individual level.

Review of Recent Trends in Measuring the Computing Systems Intelligence-Figure 1. Intelligence of different simple living creature (accessed 01.11.2017). 1.1. A carnivorous plants catching an insect (https://phys.org/news/2016-05-colombia-peace-reveal-jungle-species.html); 1.2. A colony of ants solving a very complex task (https://mappingignorance.org/2016/05/27/rafting-ants); 1.3. The collective behaviour of a school of fish (https://simple.wikipedia.org/wiki/Shoaling_and_schooling)

The biological intelligence of different life forms, ranging from very simple (such as plants) to very complex (such as humans) is the subject of many studies and a large amount of research. Frequent studies related to different kind of biological intelligence include: the intelligence of horses (Krueger, & Heinze, 2008; Krueger, Farmer, & Heinze, 2014; Schuetz, Farmer, & Krueger, 2016), intelligence of pigs (Broom, Sena, & Moynihan, 2009), intelligence of dogs (Coren, 1995), intelligence of primates (Reader, Hager, & Laland, 2011) and so one. Figures 1, 2, and 3 present some biological life forms that are frequently considered intelligent. Trewavas (2002; 2005) considered that plants intelligence should be based on principles such as their ability to adjust their morphology, and phenotype accordingly to ensure self- preservation and reproduction. Figure 1.1 presents an intelligent plant (carnivorous) that uses a strategy for catching very fast flying insects. In order to eat the insect, it makes a movement. Figure 1.1 presents the catching of an insect by a carnivorous plant. The intelligence of colonies of ants, termites and other insects that live in large colonies is considered at the colony level (Brady, Fisher, Schultz, & Ward, 2014; Johnson, Borowiec, Chiu, Lee, Atallah, & Ward, 2013). Figure 1.2 presents the coherent intelligent surviving behaviour of a colony of a species of ants. The ants make a structural reorganization in order to move on the surface of the water. Figure 1.3 presents a very large school of fish with an intelligent coherent collective feeding and self-protecting behaviour. Each individual fish has a very simple behavior. Based on this it cannot be considered intelligent. The intelligence in large schools of fish emerges at the collective level (Shaw, 1978; Parrish, Viscedo, & Grunbaum, 2002).

opencc-by-4.0Jul 2018View details →

Bibliography on liveness in live programming, live coding, and exploratory programming

This dataset primarily contains a BibTeX file containing literature on the experience of liveness in programming. In particular it compares the results on liveness found under the terms "live programming", "live coding", and "exploratory programming". For interested readers, there is also a Smalltalk source file attached containing source code snippets used to generate some of the results of the accompanying publication in the Programming journal.

opencc-by-4.0Dec 2015View details →

Figs 2–7. Live specimens. — 2–4 in Revision of the enigmatic Southeast Asian spider genus Savarna (Araneae, Pholcidae)

Figs 2–7. Live specimens. — 2–4. Savarna kaeo sp. nov. ƋƋ from Reclining Buddha Cave and from Tham Sai (2, 4); ♀ with eggsac from Tham Sai (3). — 5–7. S. kraburiensis Wongprom & Wiwatwitaya, 2015. Ƌ, ♀ with eggsac, and ♀ with eggsac after dropping to the ground; all from Tham Phra Kayang.

opencc-by-4.0Dec 2015View details →

Figs 8–13. Live specimens. — 8–10. Savarna thaleban Huber, 2005 in Revision of the enigmatic Southeast Asian spider genus Savarna (Araneae, Pholcidae)

Figs 8–13. Live specimens. — 8–10. Savarna thaleban Huber, 2005. ƋƋ and ♀ with eggsac; all from Thaleban National Park. — 11–13. S. tessellata (Simon, 1901). ƋƋ and ♀ with eggsac; all from Tham Meud.