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Auto-Search Reproducibility Analysis
<p>The verification and analysis details for revealing the Crisis of Reproducing Automatic Search in Evidence-based Software Engineering</p>
FIGURE 1. Topology showing the most parsimonious tree obtained from a heuristic search with 1,000 in A new species of Microthyrium from Yunnan, China
FIGURE 1. Topology showing the most parsimonious tree obtained from a heuristic search with 1,000 random taxon additions of the combined dataset of SSU and LSU sequences alignment using PAUP v. 4.0b10. The scale bar shows 10 changes. Bootstrap support values for maximum parsimony (MP) and maximum likelihood (ML) greater than 50% above the nodes. The values below the nodes are Bayesian posterior probabilities above 0.95. Hyphen ("-") indicates a value lower than 50% (BS) or 0.90 (PP). The original isolate numbers are noted after the species names. The tree is rooted to Schismatomma decolorans.
FIGURE 1. The most parsimonious trees obtained from a heuristic search with 1000 in Phyllosticta species from banana (Musa sp.) in Chongqing and Guizhou Provinces, China
FIGURE 1. The most parsimonious trees obtained from a heuristic search with 1000 random taxon additions of the LSU sequences using PAUP v. 4.0b10. The scale bar shows 5 changes. Bootstrap support values for maximum parsimony (MP) and Bayesian posterior probabilities above 0.90are shown. A hyphens (–) indicates the value lower than 50% (BS) or 0.90 (PP). The tree is rooted to Botryosphaeria dothidea. Ex-type/ex-epitype isolates are marked by an asterisk *. Novel sequences are in boldface.
BIOFRUITNET - Boosting Innovation in Organic FRUIT production through knowledge NETworks - WP2 - Bibliographic search in Web of Science
<p>In the project BIOFRUITNET (Boosting Innovation in Organic FRUIT production through knowledge NETworks, HORIZON 2020 Grant Agreement No. 862850), nine search strings covering <strong>stone fruits, pome fruits and citrus fruits</strong>, within the selected main topics: <strong>pests, plant diseases and plant nutrition </strong>were developed, to target the most relevant scientific literature within the topics. The bibliographic searches were conducted on October 19, 2020 in Web of Science. The databases presented are the complete lists of references included from the WoS search. These lists will be processed to select the most relevant materials ready for practice in a following project work package. Project homepage: <a href="https://biofruitnet.eu/">https://biofruitnet.eu/</a></p>
Figure 7 in The life history and host-searching behaviour of the aquatic parasitoid wasp Apsilops japonicus (Hymenoptera: Ichneumonidae), a parasitoid of the aquatic moth Neoshoenobia testacealis (Lepidoptera: Crambidae)
Figure 7. Mean number of ovipositor probes into leaf petioles by Apsilops japonicus females for the three types of leaves. There were no significant differences among the three leaf types (n = 36, F = 0.75, P = 0.48, one-way analysis of variance).
Figure 4 in The life history and host-searching behaviour of the aquatic parasitoid wasp Apsilops japonicus (Hymenoptera: Ichneumonidae), a parasitoid of the aquatic moth Neoshoenobia testacealis (Lepidoptera: Crambidae)
Figure 4. Frequency of Apsilops japonicus females entering the water from the three types of leaves (n = 36).
Figure 5 in The life history and host-searching behaviour of the aquatic parasitoid wasp Apsilops japonicus (Hymenoptera: Ichneumonidae), a parasitoid of the aquatic moth Neoshoenobia testacealis (Lepidoptera: Crambidae)
Figure 5. Mean submergence time for Apsilops japonicus females entering the water from the three types of leaves. There were no significant differences among the three leaf types (n = 36, F = 0.45, P = 0.64, one-way analysis of variance).
Figure 2 in The life history and host-searching behaviour of the aquatic parasitoid wasp Apsilops japonicus (Hymenoptera: Ichneumonidae), a parasitoid of the aquatic moth Neoshoenobia testacealis (Lepidoptera: Crambidae)
Figure 2. An Apsilops japonicus larva beside a mature host larva in the petiole. The white bar indicates a parasitoid larva.
Figure 3 in The life history and host-searching behaviour of the aquatic parasitoid wasp Apsilops japonicus (Hymenoptera: Ichneumonidae), a parasitoid of the aquatic moth Neoshoenobia testacealis (Lepidoptera: Crambidae)
Figure 3. Frequency of host stages at oviposition by Apsilops japonicus females. Unknown (n = 3: parasitoid pupa) indicates that we could not discriminate the host stage because the hosts were dead and probably decomposed in the petioles.
Correlated decision making across multiple phases of olfactory guided search in Drosophila
<p>All motile organisms must search for food, often requiring the exploration of heterogeneous environments across a wide range of spatial scales. Recent field and laboratory experiments with the fruit fly, <i>Drosophila</i>, have revealed that they employ different strategies across these regimes, including kilometer scale straight-path flights between resource clusters, zig-zagging trajectories to follow odor plumes, and local search on foot after landing. However, little is known about the extent to which experiences in one regime might influence decisions in another. To determine how a flies' odor plume tracking during flight is related to their behavior after landing, I tracked the behavior of individually labelled fruit flies as they explored an array of three odor emitting, but food-barren, objects. The distance flies travelled on the objects in search of food was correlated with the time elapsed between their visits, suggesting that their in-flight plume tracking and on-foot local search behaviors are interconnected through a lossy memory-like process.</p>
IQRM: real-time adaptive RFI masking for radio transient and pulsar searches
<p>This is repository of the data that were used for the analysis and results presented in "IQRM: real-time adaptive RFI masking for radio transient and pulsar searches" submitted to the Monthly Notices for the Royal Astronomical Society for publication. The readme file along with the data contains all the necessary information one would need to process the data. The data will be made available to everyone once the paper has been accepted for publication. If you are using data from this repository, please do not forget to cite the following paper:</p> <p>"IQRM: real-time adaptive RFI masking for radio transient and pulsar searches", V M Morello, K M Rajwade and B W Stappers, 2021, Monthly Notices of the Royal Astronomical Society, in press.</p>
FIG. 2 in Trolling for water striders: active searching for prey and the evolution of reduced webs in the spider Wendilgarda sp. (Araneae, Theridiosomatidae)
FIG. 2. Probable sequence of attachments by W. sp. near the water surface (schematic and not to scale). It was not clear from behavioural observations whether line a±b was doubled (as in drawing A) or broken and replaced (as it probably is in W. clara); nor was it certain whether point c was on the surface of the water or, more likely, just above it (see ®gure 7). It was con®rmed repeatedly, however, that the sticky line c±d (with balls in drawing C) was added to the non-sticky line rather than replacing it, as the sticky line was seen sagging brie¯y away from the straight vertical line. In two cases favourable lighting angles and background allowed con®rmation that line b±c was added to rather than replaced the line or lines laid just previously (a±b).
FIG. 7 in Trolling for water striders: active searching for prey and the evolution of reduced webs in the spider Wendilgarda sp. (Araneae, Theridiosomatidae)
FIG. 7. Microscopic views of silk on slides (stippled 5 puddles of sticky material; black masses 5 attachment discs, except for (E) where they 5 sticky material). (A) Lines of W. sp. ¯are away from central vertical line within masses of sticky material. (B) Attachment of W. sp. to water, showing attachment disc (presumed initiation of sticky silk) at bottom tip of vertical line. (C) Attachment of BCI creek W. sp. to water, showing attachment disc higher on vertical line and more sparse radial lines. (D) Attachment disc on a slack vertical line of W. sp. above section with sticky balls (e.g. d in ®gure 2), showing greater curliness of non-sticky lines. (E) Puddles of sticky material on a vertical line of W. sp., showing strong concentration of material at lower end of the line. Scale for (A), (C) and (D) at upper left.
FIG. 9 in Trolling for water striders: active searching for prey and the evolution of reduced webs in the spider Wendilgarda sp. (Araneae, Theridiosomatidae)
FIG. 9. Stages of the production of a second vertical line (A±D) and the initiation of a third line (E) by W. clara. The tight new vertical line (A, B) pulled the suspension line downward as the spider made the second descent; the tension then diminished and the angle in the suspension line became less acute (C; compare with B) as the spider extended the vertical line and then moved along the suspension line toward the previous vertical line (C). The spider apparently reeled up the suspension line as it then moved away from line 2 (D), because the white speck at the top of the new vertical line (dots in A±C) disappeared, and a white speck (presumably the accumulated reeled up silk) moved with the spider to the site where the next vertical line was laid (E). The positions of the white specks on the suspension line with respect to the vertical line in (A) ±(C) were not determined by direct observation; they are guesses based on the directions in which the specks moved and new lines were carried.
FIG. 5 in Trolling for water striders: active searching for prey and the evolution of reduced webs in the spider Wendilgarda sp. (Araneae, Theridiosomatidae)
FIG. 5. Probable mechanism used by spiders to jerk objects up out of the water (schematic). The spider ®rst reeled up the line, and thus tensed the entire line. When it then released this silk suddenly, the greater elasticity of the much longer line above the spider caused the spider to be displaced upward (arrow). The momentum of its body produced an upward jerk on the object when the line below its body became tight. This interpretation is tentative, because it was not possible to verify directly that the reeled up line was not broken (as in the drawing).
FIG. 8 in Trolling for water striders: active searching for prey and the evolution of reduced webs in the spider Wendilgarda sp. (Araneae, Theridiosomatidae)
FIG. 8. Tips of radial lines of an attachment of W. sp. to water, showing how they were progressively thinner near their tips (scale 5 0.05 mm).
FIG. 4 in Trolling for water striders: active searching for prey and the evolution of reduced webs in the spider Wendilgarda sp. (Araneae, Theridiosomatidae)
FIG. 4. Production of successive vertical sticky lines (schematic and not to scale). After moving slightly toward previous vertical lines and attaching the vertical line it had just laid (2) to the suspension line, the spider turned 180ss, attached its dragline to the broken end of the suspension line (small dot at the top of vertical line 2), and released silk, causing the two vertical lines to move away from it (arrow in (A); large dot gives a ®xed point of reference). Then it joined the broken ends of the suspension line (small dot at top of vertical line 3 in (B)), and descended to the water to make the next vertical line. Exact sites of broken ends of lines are estimated, as they were not observed directly.
FIG. 3 in Trolling for water striders: active searching for prey and the evolution of reduced webs in the spider Wendilgarda sp. (Araneae, Theridiosomatidae)
FIG. 3. Construction of three types of webs (schematic and not to scale; black balls represent sticky material). (A) The spider climbs to the suspension line after laying an additional short line to the water that was attached to the ®rst vertical line a few centimetres above the water's surface. (B) Spider moves a second vertical line (arrow) so its upper end will be close to or attached to that of the ®rst vertical line. Usually the upper portions of the two vertical lines then merged, resulting in a con®guration like that in (A). (C) Three vertical lines were attached to the suspension line and not subsequently moved.
First responders' mobile phone traces during a search-and-rescue exercise scenario
<p>This dataset is collected during a search-and-rescue exercise scenario in the framework of the ARTION project. </p> <p>The operation took place on the 11th of April 2021 in an abandoned village (Vretsia) in Paphos district, in Cyprus. <br> The exercise scenario was the following: After a tornado, seven campers who were in the village at the time of the tornado <br> are reported as missing. Some of them are injured. The operations included: establishment and operation of an emergency <br> operation center, first aid station, and drone operation center.</p> <p>For the search-and-rescue operations two rescue teams, a first responder with a rescue dog and a drone were deployed. <br> 1. The rescue dog detects a person. A lightly injured woman is searched and found. The medic team rushes to help <br> and finally accompanies the person to the operation center/first aid station. <br> 2. A victim is identified by the drone and rescued by the Medic Team.<br> 3. The Rescue Team #1 founds an unconscious male and the Medic Team rushes to the rescue. <br> 4. The Rescue Team #2 founds an injured female person and the Medic Team rushes to the rescue.<br> 5. Another person is identified by the drone and rescued by the Medic Team.<br> 6. The Rescue Team #1 founds a lightly injured female person and accompanies her to the first aid station. <br> 7. The Rescue Team #2 founds a lightly injured female person and accompanies her to the first aid station. </p> <p>The exercise was organized and conducted by the Cyprus Civil Defence and data collection was performed by the <br> KIOS Research and Innovation Center of Excellence of the University of Cyprus.</p> <p>The dataset consists of .csv files, each containing a trace, that is, the locations of the mobile phones captured by the built-in<br> GPS receiver of the phone approximately every one second. The mobile phones were held by first responders during their operation. </p>
Drones' footage of a search-and-rescue exercise scenario
<p>This dataset is collected during a search-and-rescue exercise scenario in the framework of the ARTION project.</p> <p>The operation took place on the 11<sup>th</sup> of April 2021 in an abandoned village (Vretsia) in Paphos district, in Cyprus. The exercise scenario was the following: After a tornado, seven campers who were in the village at the time of the tornado are reported as missing. Some of them are injured. The operations included: establishment and operation of an emergency operation center, first aid station, and drone operation center.</p> <p>For the search-and-rescue operations two rescue teams, a first responder with a rescue dog and a drone were deployed.</p> <ol> <li>The rescue dog detects a person. A lightly injured woman is searched and found. The medic team rushes to help and finally accompanies the person to the operation center/first aid station.</li> <li>A victim is identified by the drone and rescued by the Medic Team.</li> <li>The Rescue Team #1 founds an unconscious male and the Medic Team rushes to the rescue.</li> <li>The Rescue Team #2 founds an injured female person and the Medic Team rushes to the rescue.</li> <li>Another person is identified by the drone and rescued by the Medic Team.</li> <li>The Rescue Team #1 founds a lightly injured female person and accompanies her to the first aid station.</li> <li>The Rescue Team #2 founds a lightly injured female person and accompanies her to the first aid station.</li> </ol> <p>The exercise was organized and conducted by the Cyprus Civil Defence and data collection was performed by the KIOS Research and Innovation Center of Excellence of the University of Cyprus.</p> <p>The dataset consists of raw video files (.mp4) captured by drones.</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.