Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,516
datasets available to search
ShareScore release 0.9.0
Dataset results
2,516 results for “Seri”
FIGURE 10. A, B in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 10. A, B genitalia in dorsal view. C, D: labrum. A: Lasioglossum apristum (Vachal). B: L. duplex (Dalla Torre). C: L. villosulum (Kirby). D: L. allodalum Ebmer & Sakagami. A–D: ♂.
FIGURE 8. A–D in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 8. A–D: mesoscutum. E, F: distal part of metasomal sterna. A: Lasioglossum villosulum (Kirby). B: L. japonicum (Dalla Torre). C: L. transpositum (Cockerell). D: L. allodalum Ebmer & Sakagami. E: L. percrassiceps (Cockerell). F: L. apristum (Vachal). A–D: ♀. E, F: ♂.
FIGURE 6. A, B in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 6. A, B: metasoma. C, D: distal part of metasomal terga. E, F: basal area of T1. A: Lasioglossum calceatum (Scopoli). B: L. albipes villosum Ebmer. C: L. speculinum (Cockerell). D, F: L. transpositum (Cockerell). E: L. sulcatulum sulcatulum (Cockerell). A–F: ♀.
FIGURE 2. A, B in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 2. A, B: body color of head and mesosoma. C, D, F: mesepisternum. E: pronotum in lateral view. A: Lasioglossum ellipticeps (Blüthgen). B: L. calceatum (Scopoli). C: L. apristum (Vachal). D: L. miyabei Murao, Ebmer & Tadauchi. E, F: L. percrassiceps (Cockerell). A–F: ♀.
FIGURE 9. A, B in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 9. A, B: posterior surface of propodeum. C, D: genitalia (C, ventral view; D: lateral view). E, F: mesoscutellum. A, C, F: Lasioglossum subfulvicorne subfulvicorne (Blüthgen). B: L. transpositum (Cockerell). D: L. duplex (Dalla Torre). E: L. vulsum (Vachal). A–F: ♂.
FIGURE 11. A, B in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 11. A, B: clypeus. C, D: metasomal sterna. A: Lasioglossum sakagamii Ebmer. B, D: L. villosulum (Kirby). C: L. japonicum (Dalla Torre). A–D: ♂.
FIGURE 5. A–E in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 5. A–E: mesoscutum. A: Lasioglossum laevoides Ebmer. B: L. subfulvicorne subfulvicorne (Blüthgen). C: L. vulsum (Vachal). D: L. nipponense (Hirashima). E: L. albipes villosum Ebmer. A–E: ♀.
FIGURE 4. A–F in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 4. A–F: inner hind tibial spur. A: L. affine (Smith). B: L. albipes villosum Ebmer. C: L. calceatum (Scopoli). D: L. nipponense (Hirashima). E: L. baleicum (Cockerell) or L. vulsum (Vachal). F: L. subfulvicorne subfulvicorne (Blüthgen). A–F: ♀. Scale bars: 0.2 mm.
FIGURE 3. A in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 3. A: pronotum in lateral view. B, C: posterior surface of propodeum. D, E: posterior area of mesoscutum. A: Lasioglossum apristum (Vachal). B: L. affine (Smith). C: L. transpositum (Cockerell). D: L. sibiriacum (Blüthgen). E: L. hoffmanni (Strand). A–E: ♀.
FIGURE 1. A in Bees of the Hemihalictus series of Lasioglossum Curtis (Hymenoptera, Halictidae) in South Korea
FIGURE 1. A: fore wing of female. B–E: lateral habitus of four subgenera of Lasioglossum occurring in South Korea. A–B: L. (Acanthalictus) dybowskii (Radoszkowski). C: L. (Dialictus) miyabei Murao, Ebmer & Tadauchi. D: L. (Hemihalictus) transpositum (Cockerell). E: L. (Sphecodogastra) apristum (Vachal). A–E: ♀.
Water depth time series derived by FLOW-R2D model simulating the Tous dam break
<p>In this dataset, the water depth time series in 21 gauges of Sumacarcel town are derived by the FLOW-R2D model,<br> assuming 240 different combinations of three input paramaters:</p> <p>a) input flow to the computatioal domain (upstream boundaries) (Q)<br> b) the Manning coefficient of the computational domain (n)<br> c) effective slope (required at the upstream boundaries) (S)</p> <p>The sampling for the three parameters is made by Latin Hypercube technique, assuming for each parameter the following interval:</p> <p>a) 10000-20000 m^3/s<br> b) 0.03-0.21 s/m^(1/3)<br> c) 0.0001 - 0.02</p> <p>The dataset consists of the following:<br> <br> 1) input_data.csv file, in which the 240 combinations of the three input parameters is provided (Scenario 100 - 399)<br> 2) runs_tous folder, in which files 100.cv-399.csv. Water depth time series are recorded in 21 gauges.<br> The first column is time (in seconds), and the water dpeths are in meters.<br> <br> Papers relative to this dataset:</p> <p>1) Description of the case study:<br> Alcrudo F and Mulet J (2007). Description of the Tous Dam break case study (Spain).<br> Journal of Hydraulic Research, 45, 45-57.</p> <p>2) Simulation of tous dam break with FLOW-R2D:<br> Bellos V and Tsakiris G (2015). 2D flood modelling: the case of Tous dam break.<br> Proceedings of 36th World Congress of IAHR, the Hague, the Netherlands. (e-proceedings).</p> <p>3) Calibration of the case study of the FLOW-R2D paramteters:<br> Christelis V, Bellos, V, Tsakiris, G (2016). Employing surrogate modelling for the calibration of a 2D flood simulation model.<br> Proceedings of 4th European Congress of IAHR, “Sustainable Hydraulics in the era of global change”,<br> edited by S. Erpicum, B. Dewals, P. Archambeau, M. Pirotton, Liege, Belgium: 727-732.</p> <p>4) Presentation of the FLOW-R2D model:<br> Tsakiris G and Bellos, V (2014) A numerical model for two-dimensional flood routing in complex terrains.<br> Water Resources Management 28(5):1277-1291</p>
Time series of chaotic systems
<div> <div> </div> </div> <div> <p>Long time series of chaotic systems, all three-dimensional. Can be used in short- and long-term forecasting, reconstruction, etc.</p> <p>Codes in GitHub: https://github.com/Zheng-Meng/Dynamics-Reconstruction-ML.</p> <p>We used the dataset in dynamics reconstruction from sparse observations with no training on target systems:</p> <p>Zhai, Zheng-Meng, Jun-Yin Huang, Benjamin D. Stern, and Ying-Cheng Lai. "Reconstructing dynamics from sparse observations with no training on target system." <em>arXiv preprint arXiv:2410.21222</em> (2024).</p> <p>In addition, two folders with additional data, data_response, which is generated by dysts (https://github.com/williamgilpin/dysts) and data_nonautonomous, are provided for further evaluation of the dynamics reconstruction framework.</p> <p> </p> </div>
Communication campaign Food4Future_cz - Series of videos
<p><strong>Food4Future_cz</strong> is a communication campaign developed by the EU-funded project <a href="https://foodsafety4.eu/">FoodSafety4EU</a>. The campaign aims to raise youngsters' awareness about food safety and sustainability for a conscious and considerate approach to the environment. For more information about the campaign in Czechia, please visit <a href="http://www.foodnet.cz/cs/food4future_cz">http://www.foodnet.cz/cs/food4future_cz</a> and in English please visit <a href="https://foodsafety4.eu/">FoodSafety4EU</a>.</p><p><strong>6 VIDEOS in Czech language with subtitles in English:</strong></p><p><strong>CROPS ON A DRY PLANET (BACKGROUND): </strong>Do you care about the food choices you make? On a planet that's slowly running out of water, alternative ways of farming will become progressively more important. Watch the video with our <i>AquaFriend</i> explaining the water-saving benefits of aquaponics! </p><p><strong>LONG LIVE LETTUCE (KITCHEN): </strong>Do you care about the food choices you make? Not only is aquaponic production safer, but by maintaining the integrity of the root system, the produce such as salad can be stored for longer while staying fresh. Watch the video with our <i>AquaFriend </i>explaining the longevity of produce grown from aquaponics!</p><p><strong>NOT THAT COMPLICATED (LABORATORY): </strong>Do you care about the food choices you make? Even though the principles of aquaponics may sound complicated at first glance, it is a simple and old method of effectively producing crops and fish. Watch the video with our <i>AquaFriend</i> explaining the main principles of aquaponic farming!</p><p><strong>FISH ARE FRIENDS (POND): </strong>Do you care about the food choices you make? Aquaponic farming is not only a source of produce but also fish which is an important protein source. Watch the video with our <i>AquaFriend</i> explaining the benefits of producing fish in an aquaponic farm!</p><p><strong>BETTER THAN ORGANIC (RESTAURANT): </strong>Do you care about the food choices you make? Even though aquaponic produce cannot be marked as "BIO", it has multiple benefits over traditional farming. Watch the video with our <i>AquaFriend</i> explaining the benefits (i.e. pesticide-free, sustainable) of aquaponic farming!</p><p><strong>SHARE WITH CLASS (SCHOOL): </strong>Do you care about the food choices you make? Watch the video with our <i>AquaFriend </i>explaining the aquaponic cycle!</p>
FIGURE 11. Hyoid series. A. Archamia bleekeri, USNM 356291, 37.6 in A new genus of cardinalfish (Apogonidae: Percomorpha), redescription of Archamia and resemblances and relationships with Kurtus (Kurtidae: Percomorpha)
FIGURE 11. Hyoid series. A. Archamia bleekeri, USNM 356291, 37.6 mm SL, outer right side laterally reversed. B. Kurtus indicus, USNM 267150, 63 mm SL, outer left side. upper hypohyal = UH, lower hypohyal = LH, branchiostegals = BR1–7, = beryciform foramen = BF, anterior ceratohyal = AC, posterior ceratohyal = PC, interhyal = IH. Scale = 1 mm.
FIGURE 1 in On the taxonomic validity of Pristimantis tepuiensis (Schlüter & Rödder, 2007) and P. stegolepis (Schlüter & Rödder, 2007), with remarks on the type series of P. guaiquinimensis (Schlüter & Rödder, 2007)
FIGURE 1. Dorsum of the holotype of Pristimantis stegolepis (SMNS 8006.1) showing a slightly granular skin. Photograph by Philippe J. R. Kok.
FIGURE 3 in On the taxonomic validity of Pristimantis tepuiensis (Schlüter & Rödder, 2007) and P. stegolepis (Schlüter & Rödder, 2007), with remarks on the type series of P. guaiquinimensis (Schlüter & Rödder, 2007)
FIGURE 3. Right lateral views of part of the head of (A) holotype of Pristimantis tepuiensis (SMNS 8005.1) showing the presence of supratympanic granules; (B) paratype of P. guaiquinimensis (SMNS 8004.2) showing the presence of similar, but flat and less visible supratympanic granules. Photographs by Philippe J.R. Kok.
Figure 16 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 16. One of the 54 minimum-length cladograms, showing transformation series for selected characters (see also Figs 13–15) that contribute to the non-monophyly of Polycirrus, Lysilla, and Amaeana.
Figure 7 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 7. Polycirrus papillosus: A (holotype, MZUSP 1216), tips of notochaetae; B (paratype, MZUSP 1244), tips of notochaetae from the posterior row. Polycirrus bicrinalis (paratype, AM W199638): C, notochaetae from segment 13. Lysilla bilobata (AM W199514): D, E, notochaetae. Polycirrus breviuncinatus: F (paratype, MZUSP 1245), G (holotype, MZUSP 1220), notochaetae. Scale bars: A–C, E–G, 20 μm; D, 6 μm.
Figure 11 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 11. Strict consensus tree of 54 minimum-length cladograms. Note that except for Hauchiella, non-monotypic ingroup genera are either para- or polyphyletic, i.e. Polycirrus, Amaeana, and Lysilla.
Figure 15 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 15. One of the 54 minimum-length cladograms, showing transformation series for selected characters (see also Figs 13–14, 16) that contribute to the non-monophyly of Polycirrus, Lysilla, and Amaeana.
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.