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Fig 1. A parasitoid wasp and 1 in Predatory behavior of long-legged flies (Diptera: Dolichopodidae) and their potential negative effects on the parasitoid biological control agent of the Asian citrus psyllid (Hemiptera: Liviidae)
Fig 1. A parasitoid wasp and 1 of 7 species of predaceous long-legged flies collected in this study. The photograph is insufficient for identification. Although predation events could not be duplicated in captivity, the parasitoid wasp ap- pears to be within a size range that the long-legged fly would attack (e.g., Barrentine 2011). Scale bar = 2 mm.
Fig. 3 in Phylogeography of Long-spined Sea Urchin Across the Indo-Malay Archipelago.
Fig. 3. Diadema setosum. Minimum-spanning network of COI gene haplotypes. Area of circle proportional to haplotype frequency in total sample; length of branch proportional to number of mutations (scale bar: one mutational step) except alternative links between haplotypes, where number of mutational steps is represented by a series of perpendicular dashes. A few such links between distant haplotypes were omitted for better readability. White: haplotype sampled from Group-1 D. setosum; hachured white: Group-2; black: Sub-group-3a; grey: Sub-group-3b.
Fig. 2 in Phylogeography of Long-spined Sea Urchin Across the Indo-Malay Archipelago.
Fig. 2. Phylogeographic structure of Diadema setosum in the Indo-Malay archipelago. A: Multidimensional scaling plot based on the matrix of pairwise ФST (T92+G model; Arlequin). Ellipses delineate groups of samples designated by hierarchical clustering. Abbreviations for samples as in table 1. B: Pairwise estimates of genetic differentiation plotted against the logarithm of geographic distance [ln(gD), gD in km]. Black circles (●) intra-group comparisons; open circles (○) (resp. triangles): inter-group comparisons involving Group 1 (resp. Group 2).
Fig. 1 in Phylogeography of Long-spined Sea Urchin Across the Indo-Malay Archipelago.
Fig. 1. Diadema setosum sampling locations. Colours refer to the results of MDS analysis (see RESULTS). Bold dotted lines indicate inferred geographic barriers. SoM Strait of Malacca; Mak. Str. Makassar Strait; other abbreviations as in table 1. Table 1. Diadema setosum sampling details and GenBank accession numbers by sample. N sample size
Рис. 2. ΔоΛговременная Αинамика весенней чисΛенности трех виΑов уток (A — трескунка; B — касатки; C — шиΛохвости) на ΑебеΑинском стационаре Хинганского заповеΑника (показаны уровень значимости и 95-процентный ΑоверитеΛьный интерваΛ) Fig. 2. Long-term spring number dynamics of three duck species at the Lebedinsky Station of Khingansky State Nature Reserve with p-values and 0.95 confidence intervals. A — Gargany; B — Falcated Duck; C — Pintail in The results of long-term observation of waterfowl spring migration in Khingan Nature Reserve, Eastern Russia
Рис. 2. ΔоΛговременная Αинамика весенней чисΛенности трех виΑов уток (A — трескунка; B — касатки; C — шиΛохвости) на ΑебеΑинском стационаре Хинганского заповеΑника (показаны уровень значимости и 95-процентный ΑоверитеΛьный интерваΛ) Fig. 2. Long-term spring number dynamics of three duck species at the Lebedinsky Station of Khingansky State Nature Reserve with p-values and 0.95 confidence intervals. A — Gargany; B — Falcated Duck; C — Pintail
Рис. 1. Регион иссΛеΑований: A — его поΛожение на карте Восточной Азии; B — общий виΑ Буреинско-Хинганской низменности; C — карта-схема ΑебеΑинского стационара Хинганского заповеΑника. УсΛовные обозначения: I — Хинганский заповеΑник (вкΛючает Αва кΛастера); II — заказник «Ганукан». 1 — Антоновское воΑохраниΛище; 2 — оз. ΔоΛгое; 3 — оз. Гусиное; 4 — оз. Третье ΑебеΑиное Fig. 1. Study region: A — study region on the map of the East Asia; B — Burea-Khingan (Arkhara) lowland; C — Lebedinsky Station. Notes: I — two clusters of Khingan Nature Reserve; II — Ganukan Sanctuary. 1 — Antonovskoye Reservoir; 2 — Dolgoye Lake; 3 — Gusinoye Lake; 4 — Lebedinoye Lake in The results of long-term observation of waterfowl spring migration in Khingan Nature Reserve, Eastern Russia
Рис. 1. Регион иссΛеΑований: A — его поΛожение на карте Восточной Азии; B — общий виΑ Буреинско-Хинганской низменности; C — карта-схема ΑебеΑинского стационара Хинганского заповеΑника. УсΛовные обозначения: I — Хинганский заповеΑник (вкΛючает Αва кΛастера); II — заказник «Ганукан». 1 — Антоновское воΑохраниΛище; 2 — оз. ΔоΛгое; 3 — оз. Гусиное; 4 — оз. Третье ΑебеΑиное Fig. 1. Study region: A — study region on the map of the East Asia; B — Burea-Khingan (Arkhara) lowland; C — Lebedinsky Station. Notes: I — two clusters of Khingan Nature Reserve; II — Ganukan Sanctuary. 1 — Antonovskoye Reservoir; 2 — Dolgoye Lake; 3 — Gusinoye Lake; 4 — Lebedinoye Lake
Data for "A replicable and modular benchmark for long-read transcript quantification methods"
<p>This archive contains the input necessary to run the inital (TranSigner-protocol and IsoQuant-protocol) benchmarks associated with the <a href="https://github.com/COMBINE-lab/lr_quant_benchmarks" target="_blank" rel="noopener"><code>lr_quant_benchmarks repository</code></a>. The archive can be decompressed with <code>tar</code> and <code>zstd</code> using the command <code>tar --use-compress-program=zstd -xf input.tar.zstd</code>.</p>
Data and results for manuscript "Imaging groundwater infiltration dynamics in karst vadose zone with long-term ERT monitoring"
<p>This data set contains raw and inverted data from an Electrical Resistivity Tomography (ERT) monitoring experiment conducted over a period of three years at the Rochefort Cave Laboratory (RCL) site in South Belgium. It highlights variable hydrodynamics in the karst vadose zone of Lorette Cave. More conventional hydrological measurements (drip discharge monitoring, soil moisture and water conductivity data sets) are also included in the package, which aims at provide a thorough understanding of the groundwater infiltration. Seasonal changes affect all the imaged areas leading to increases in resistivity in spring/summer attributed to enhanced evapotranspiration, whereas winter is characterised by a general decrease in resistivity associated with a groundwater recharge of the vadose zone. This study provides detailed images of the sources of drip discharge spots traditionally monitored in caves and aims to support modelling approaches of karst hydrological processes.</p>
Figure 3. (Top): Illustration of the therapy selection main menu. This enables the user to select one of three options for the therapy. Stimuli sequence selectors; (Bottom): (a) Short distance – complete visual field; (b) Short distance – macular; (c) Middle-long distance.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>distance therapies for the prescribed time suggested by the ophthalmologist.<br> Note that the complete visual field therapy stimulates different parts in the entire visual field<br> whereas macular therapy stimulate only a small part of the visual field, only the first 10° of vision<br> range. In contrast, middle-long distance therapies are not developed inside the device; instead the<br> patient must sit watching a wall, where the stimuli will be presented. Figure 3 (Bottom) shows the<br> sequence selectors for the three different cases. The therapist will choose a desired number of<br> sequences according to the results of the examination to each patient; hence it is completely patient<br> dependent.<br> Once the therapist finishes the particular design of the stimuli sequence, the software<br> automatically displays a window where he can save the customized patient-specific details for future<br> use as a text file.</p>
(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
<p>(05)-Strobl2018A-DS0001 – <em>Tribolium castaneum</em> AGOC{Zen1'#O(LA)-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy</p>
(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
<p>(05)-Strobl2018A-DS0003 – <em>Tribolium castaneum</em> AGOC{ARP5'#O(LA)-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy</p>
(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
<p>(05)-Strobl2018A-DS0002 – <em>Tribolium castaneum</em> AGOC{ARP5'#O(LA)-mEmerald} #1 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy</p>
Supplementary files for the manuscript "Assembly of Long Error-Prone Reads Using Repeat Graphs"
<p>Supplementary files for the manuscript "Assembly of Long Error-Prone Reads Using Repeat Graphs"</p> <p> </p> <p>Contents<br> ---------</p> <p>* `human_assemblues` - Flye assemblies of the human ONT sequencing data + QUAST benchmarking<br> of Flye, Canu and MaSuRCA assemblies. Scripts for assembly graph analysis are also included.</p> <p>* `nctc_assemblis` - Flye assemblies of the NCTC 21 bacterial dataset.</p> <p>* `yeast_assemblies` - working directories Flye, Canu, Falcon, Hinge and Miniasm assemblies of <br> yeast PB and ONT datasets + final assemblies + quast report. Some large files <br> (such as read alignments) were deleted.</p> <p>* `worm_assemblies` - working directories Flye, Canu, Falcon, Hinge and Miniasm assemblies of <br> the c. elegans dataset + final assemblies + quast report. Some large files <br> (such as read alignments) were deleted. `tandem_misassemblies` directory contain<br> the detailed analysis of nine tandem misassemblies. We recommend "gepard" dot-plotter for visualization.</p> <p>* `metagenome_assemblies` - Flye and Canu assemblies of a PacBio mock metagenome dataset.<br> In addition to metagenome assemblies, each bacteria was reassembled separately to<br> estimate the rate of divergence between the target genomes and the available references.</p> <p>* `simulated_data` - two assemblies of the simulated data illustrating Figure 1 (from Appendix I),<br> as well as simulated unbridged repeats benchmark.</p> <p><br> Software versions and parameters<br> --------------------------------</p> <p>* Flye - 2.3.5 (commit 20afeda)<br> * Canu - 1.7.1 (commit dfa60b8)<br> * Falcon - 0.3.0 (FALCON-Integrate commit 7498ef9)<br> * HINGE - 0.5.0 (commit 79fdf66)<br> * Miniasm - 0.2-r168-dirty (commit 40ec280) / Minimap2 2.8-r711-dirty (commit 8fc5f8d)<br> * Quast - 5.0.0 (commit de6973bb)</p> <p>Flye and Canu were run with the default parameters. The config files / scripts for<br> Falcon, HINGE and Miniasm could be found in the 'asm_config' archive folder.</p> <p>The HUMAN (but not the HUMAN+) assembly was generated with the earlier <br> Flye version 2.3.2 (released on Feb 20 2018) to provide a fair comparison <br> with the Canu and MaSuRCA assemblies (which were not updated since the release of Flye 2.3.2).<br> We note that the HUMAN assembly using the latest Flye version 2.3.5 has <br> NGA50 = 7.3 Mb and improves over the Flye 2.3.2 assembly (NGA50 = 6.3Mb). <br> HUMAN+ was assembled using the latest Flye and Canu versions (as of September 2018).</p> <p>The code for unbridged repeat resolution is currently available <br> in a separate 'flye-trestle' branch (commit 6100d32)</p>
Dataset for article Direct Evidence of the Benzylium and Tropylium Cations as the Two Long-Lived Isomers of C7H7+
<p>Dataset for article Direct Evidence of the Benzylium and Tropylium Cations as the Two Long-Lived Isomers of C7H7+ (DOI: 10.1002/cphc.201800744)</p> <p>-1- Experimental data: raw data and python script to build the final data for Figs 1 and 2 of the main manuscript and Figs S1 and S2 of supporting information.</p> <p>-2- Computational results: Gaussian files for all the calculated species.</p>
Supplementary Data for "Development of a General Calibration Model and Long-Term Performance Evaluation of Low-Cost Sensors for Air Pollutant Gas Monitoring" (abridged version)
<p>This is a supplementary data set associated with the publication "Development of a General Calibration Model and Long-Term Performance Evaluation of Low-Cost Sensors for Air Pollutant Gas Monitoring" from the Center for Atmospheric Particle Studies, submitted to Atmospheric Measurement Techniques. This is an abbreviated version which does not include the calibrated models; these models must be re-generated by running the codes contained with the data set.</p> <p> </p>
Dataset (encounter histories of female bats) used in the analysis for the paper Culina et al.: Live fast, don't die young: survival reproduction trade-offs in long-lived income breeders
<p>Two data files (Md_capture_H, Mn_capture_H) represent the capture histories of females of two species (Myotis daubentonii = Md, and M. nattereri=Mn). These capture histories were used to run multi-event-capture-mark-recapture model, as described in the paper, and in the readme document in this data package.<br> </p>
Market Research - What's become... of new entrants in research workflows and scholarly communication? ('long list')
<p>Market Research - What’s become... of new entrants in research workflows and scholarly communication?</p> <p>Full report to be published as preprint on OSF Preprints shortly.</p> <p>To systematically create a list of the new entrants in research workflows and scholarly communication that I’ve seen over the years, I used a range of resources, listed hereunder:</p> <ul> <li>400+ Tools and innovations in scholarly communication (charting the <a href="http://bit.ly/innoscholcomm-list">creation and availability</a> (supply side))<a href="#_edn1">[i]</a>. This database continues to build on the 2015-2016 survey by Bianca Kramer & Jeroen Bosman (both at Utrecht University Library), who are interested in the way information is created, shared, and processed in academia<a href="#_edn2">[ii]</a>. From this source I pulled 683 players. From the answers to the open and closed questions in the 2015-2016 survey I found 225 players.</li> <li>Presenters at STM events<a href="#_edn3">[iii]</a> from 2010-2017. This contributed 53 players.</li> <li>Outsell<a href="#_edn4">[iv]</a> ‘Companies to watch’, as per their annual Information Industry Outlook (2009-2017). This source provided 29 players.</li> <li>Pitches at APE (Academic Publishing in Europe) Conferences<a href="#_edn5">[v]</a> between 2011-2017. Here I found 44 players.</li> <li>Nominees for the ALPSP Award for Innovation in Publishing. This source contributed 10 players from 2014-2017.<a href="#_edn6">[vi]</a>.</li> </ul> <p>This file contains the 'long list' per 31 December 2018.</p> <p><a href="#_ednref1">[i]</a> https://docs.google.com/spreadsheets/d/1KUMSeq_Pzp4KveZ7pb5rddcssk1XBTiLHniD0d3nDqo/edit#gid=0</p> <p><a href="#_ednref2">[ii]</a> https://101innovations.wordpress.com/</p> <p><a href="#_ednref3">[iii]</a> https://www.stm-assoc.org/events/?previous</p> <p><a href="#_ednref4">[iv]</a> https://www.outsellinc.com/</p> <p><a href="#_ednref5">[v]</a> https://www.ape2019.eu/ape-literature</p> <p><a href="#_ednref6">[vi]</a> https://www.alpsp.org/Awards</p>
SherpaTT Long Traverse at Workshop in Morocco
<p><em>This experiment with SherpaTT has been done in Morocco. SherpaTT starts driving at a workshop towards a road to enter the desert. The dataset contains pose estimates from SherpaTT's wheel odometry</em>, a pose estimation from the D-GPS module, and SherpaTT's joint angles. In addition, a ground truth digital elevation map is available.</p>
Dataset: Long-Term Resistance of Gradient Anchorage for Prestressed CFRP Strips in Structural Concrete Retrofitting
<p>This dataset presents experimental research results on the long-term behaviour of a non-mechanical prestressed CFRP anchorage for concrete retrofitting.<br> The following data is included:<br> - Force-slip of lap-shear tests.<br> - Slip profiles (at last stage) of prestress force releasing and lap-shear tests.</p> <p> </p> <p>Further details on the experimental setup, as well as representation of datasets can be found in the following works.<br> Please cite the following works, if any part of the dataset is used within your research.</p> <p>https://doi.org/10.1016/j.compositesb.2017.11.062<br> https://doi.org/10.3390/polym10060565<br> Harmanci, Yunus Emre. Long-Term Resistance of Gradient Anchorage for Prestressed CFRP Strips in Structural Concrete Retrofitting. Diss. ETH Zurich, 2018.</p>
Supporting data for: "Diaphysator: an online application for the exhaustive cartography and user-friendly statistical analysis of long bone diaphyses"
<p>Example of dataset to be used with the R-shiny application “Diaphysator”, composed of right tibiae and femora.</p> <p>These data file have been published in: Lacoste Jeanson, A., Santos, F., Villa, C., Banner, J., & Bruzek, J. (2018). Architecture of the femoral and tibial diaphyses in relation to body mass and composition: Research from whole-body CT. <em>American Journal of Physical Anthropology</em>, 167, 813– 826. doi: <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/ajpa.23713">10.1002/ajpa.23713</a></p> <p>This zip file contains:</p> <ul> <li>an “Information file” in CSV format</li> <li>various data files for human femora and tibiae in CSV format</li> </ul> <p>For all CSV files, the field separator is the comma “,” and the character used for decimal points is the dot “.”</p>
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.