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6,410 results for “results”
ROC_all SINTEF workflow results with consensus steady state from CCLE
<p>This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. The <strong>atopo topology</strong> was used and the logical models were trained to a <strong>consensus steady state derived from ~1000 cell lines from CCLE</strong>.</p>
ROC_all SINTEF workflow results with Atopo topology
<p>This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. <strong>An automated generated Signor-based topology</strong> was used and the logical models were trained to a <strong>steady state activity profile </strong>that was derived using the <strong>PARADIGM tool</strong> and input from the<strong> CCLE</strong>.</p>
ROC_all SINTEF workflow results with CASCADE topology
<p>This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. The <strong>CASCADE topology</strong> was used and the logical models were trained to a <strong>steady state activity profile </strong>that was derived using the <strong>PARADIGM tool</strong> and input from the<strong> CCLE</strong>.</p>
On the Performance of Method-Level Bug Prediction: A Negative Result
<p>Bug prediction is aimed at identifying software artifacts that are more likely to be defective in the future. Most approaches defined so far target the prediction of bugs at class/file level. Nevertheless, past research has provided evidence that this granularity is too coarse-grained for its use in practice. As a consequence, researchers have started proposing defect prediction models targeting a finer granularity (particularly method-level granularity), providing promising evidence that it is possible to operate at this level. Particularly, models mixing product and process metrics provided the best results.</p> <p>We present a study in which we first replicate previous research on method-level bug-prediction, by using different systems and timespans. Afterward, based on the limitations of existing research, we (1) re-evaluate method-level bug prediction models more realistically and (2) analyze whether alternative features based on textual aspects, code smells, and developer-related factors can be exploited to improve method-level bug prediction abilities. Key results of our study include that (1) the performance of the previously proposed models, tested using the same strategy but on different systems/timespans, is confirmed; but, (2) when evaluated with a more practical strategy, all the models show a dramatic drop in performance, with results close to that of a random classifier. Finally, we find that (3) the contribution of alternative features within such models is limited and unable to improve the prediction capabilities significantly. As a consequence, our replication and negative results indicate that method-level bug prediction is still an open challenge.</p>
Data for study "Direct Answers in Google Search Results"
<p>The goal of this research is to examine <strong>direct answers</strong> in Google web search engine. Dataset was collected using Senuto (<a href="https://www.senuto.com/">https://www.senuto.com/</a>). Senuto is as an online tool, that extracts data on websites visibility from Google search engine.</p> <p>Dataset contains the following elements:</p> <ol> <li>keyword,</li> <li>number of monthly searches,</li> <li>featured domain,</li> <li>featured main domain,</li> <li>featured position,</li> <li>featured type,</li> <li>featured url,</li> <li>content,</li> <li>content length.</li> </ol> <p>Dataset with visibility structure has <strong>743 798 keywords</strong> that were resulting in SERPs with direct answer.</p>
Raw Results of the paper "Automated Synthesis of Social Laws in STRIPS"
<p>The following file contains the empirical evaluation of the algorithm that was presented in the paper "Automated Synthesis of Social Laws in STRIPS" (AAAI-20) on several PDDL benchmarks. </p>
Results of experiments on BoP components
<p>In order to evaluate and extend the lifetime of automotive PEM fuel cell systems, durability and performance losses of the balance of plant (BoP) components play a major role. BEG had the responsibility within the Giantleap project to analyze the lifetime degradation of the main BoP components and deliver measurement data accordingly. Focus lay on the cathode path components, air compressor and humidifier. For both, one sample was dismantled, analyzed and the ageing mechanisms identified. From this knowledge, a test bench set-up and according test cycle was developed. A 500-hour endurance run produced measurement data for further evaluation and design of operation strategies and layout criteria. This data now is available to the other project partners in the project e-room. The endurance test delivered the proof that the system designed for Giantleap is fit to at least perform during the demonstration period. At the same time, considerable weaknesses of the components became evident. Over the duration of the tests performed, the humidifier lost about 50% of its calculated efficiency, which leaves room for further investigation and verification. The performance of the compressor remained stable through the whole endurance run with one capital failure due to an inappropriate operation point. Nevertheless, the subliminal danger of contamination by spilled traction oil remains and leaves the opportunity for oil-free bearing technologies open.</p>
Text-fig. 1. "Plant screen" scheme of complete results of the IPR-vegetation analysis derived from the database. in The Integrated Plant Record Vegetation Analysis: Internet Platform And Online Application
Text-fig. 1. "Plant screen" scheme of complete results of the IPR-vegetation analysis derived from the database.
Text-fig. 6. Most parsimonious tree obtained after addition of Acaciaephyllum to the data set of Doyle (2008), with modifications discussed in the text, and with relationships of other taxa fixed with a backbone constraint tree based on results of Doyle (2008). Relative parsimony of alternative positions of Acaciaephyllum is indicated as in Text-fig. 2. Gnet = Gnetales. in Early Cretaceous Monocots: A Phylogenetic Evaluation
Text-fig. 6. Most parsimonious tree obtained after addition of Acaciaephyllum to the data set of Doyle (2008), with modifications discussed in the text, and with relationships of other taxa fixed with a backbone constraint tree based on results of Doyle (2008). Relative parsimony of alternative positions of Acaciaephyllum is indicated as in Text-fig. 2. Gnet = Gnetales.
Text-fig. 2. The Prague Basin and localities of the documented scolecodont occurrences (map after Havlíček and Štorch 1990) 1. Kosov Quarry, 2. Pod lanovkou, 3. Koledník, 4. Liščí Quarry, 5. cut of the road from Loděnice to Bubovice, 6. Arethusina Gorge. in Revision Of Kettnerites Žebera, 1935 (Scolecodonta, Silurian Of The Barrandian Area, Czech Republic): Preliminary Results
Text-fig. 2. The Prague Basin and localities of the documented scolecodont occurrences (map after Havlíček and Štorch 1990) 1. Kosov Quarry, 2. Pod lanovkou, 3. Koledník, 4. Liščí Quarry, 5. cut of the road from Loděnice to Bubovice, 6. Arethusina Gorge.
Text-fig. 1 Simplified geological map of NW Portugal (adapted from Portuguese Geological Survey 1:500.000 lithological map). in Overview Of The Stratigraphy And Initial Quantitative Biogeographical Results From The Devonian Of The Albergaria-A-Velha Unit (Ossa-Morena Zone, W Portugal)
Text-fig. 1 Simplified geological map of NW Portugal (adapted from Portuguese Geological Survey 1:500.000 lithological map).
Text-fig. 1. Map of the Za Hájovnou Cave with Section Nos. 1 and 2 (surveyed by M. Vaněk, status in 2005). in New Updated Results Of Paleomagnetic Dating Of Cave Deposits Exposed In Za Hájovnou Cave, Javoříčko Karst
Text-fig. 1. Map of the Za Hájovnou Cave with Section Nos. 1 and 2 (surveyed by M. Vaněk, status in 2005).
Text-fig. 7. Projection of the declinations and inclinations of primary component of the DRM vectors and a mean direction based on Fisher statistics A – samples with normal polarity (down - projection on the lower hemisphere), B – samples with reversed polarity (up - projection on the upper hemisphere). in New Updated Results Of Paleomagnetic Dating Of Cave Deposits Exposed In Za Hájovnou Cave, Javoříčko Karst
Text-fig. 7. Projection of the declinations and inclinations of primary component of the DRM vectors and a mean direction based on Fisher statistics A – samples with normal polarity (down - projection on the lower hemisphere), B – samples with reversed polarity (up - projection on the upper hemisphere).
Text-fig. 3. Cave deposits exposed in Section No. 2 and recorded paleomagnetic polarities. 1 – reworked deposits; 2 – clayey silt, light brown with abundant black dots, structureless; 3 – clayey silt to silty clay, brown, chaotically deposited; 4 – clayey silt, light brown, structureless; 5 – clayey silt, light brown, laminated; 6 – clayey silt to silty clay, brown, structureless; 7 – clayey silt to silty clay, light brown, structureless; 8 – clayey silt, brown with abundant white carbonate clasts; 9 – clayey sandy silt, brown with abundant lighter clayey fragments; 10 – clayey sandy silt, brown with sporadic lighter clayey fragments. Geomagnetic polarity scale: black (N) – normal polarities, white (R) – reversed polarities, grey – intermediate or uninterpretable polarities. For more details see text. in New Updated Results Of Paleomagnetic Dating Of Cave Deposits Exposed In Za Hájovnou Cave, Javoříčko Karst
Text-fig. 3. Cave deposits exposed in Section No. 2 and recorded paleomagnetic polarities. 1 – reworked deposits; 2 – clayey silt, light brown with abundant black dots, structureless; 3 – clayey silt to silty clay, brown, chaotically deposited; 4 – clayey silt, light brown, structureless; 5 – clayey silt, light brown, laminated; 6 – clayey silt to silty clay, brown, structureless; 7 – clayey silt to silty clay, light brown, structureless; 8 – clayey silt, brown with abundant white carbonate clasts; 9 – clayey sandy silt, brown with abundant lighter clayey fragments; 10 – clayey sandy silt, brown with sporadic lighter clayey fragments. Geomagnetic polarity scale: black (N) – normal polarities, white (R) – reversed polarities, grey – intermediate or uninterpretable polarities. For more details see text.
Figure 8 in First results of a faunistic survey on the Orthoptera of Jadovnik Mountain, southwestern Serbia, with data on the calling songs of some bush cricket species
Figure 8. SEM image of the stridulatory file in Poecilimon affinis dinaricus, Ogoreljača–Mali Jadovnik (meadow).
Figure 10 in First results of a faunistic survey on the Orthoptera of Jadovnik Mountain, southwestern Serbia, with data on the calling songs of some bush cricket species
Figure 10. Poecilimon pseudornatus, oscillograms of male calling song at 28 °C from: A) Sopotnica Ra; B) Ogoreljača–Mali Jadovnik (roadside).
Figure 7 in First results of a faunistic survey on the Orthoptera of Jadovnik Mountain, southwestern Serbia, with data on the calling songs of some bush cricket species
Figure 7. Calling song of Poecilimon affinis dinaricus males from Ogoreljača–Mali Jadovnik (meadow). Syllables at different temperatures: A) syllable at 20 °C; B) syllable at 28 °C.
Figure 3 in First results of a faunistic survey on the Orthoptera of Jadovnik Mountain, southwestern Serbia, with data on the calling songs of some bush cricket species
Figure 3. Isophya clara, oscillograms of male calling song from Ovčar-Kablar Gorge. A) 6 syllables; B) syllable with after-click.
Figure 4 in First results of a faunistic survey on the Orthoptera of Jadovnik Mountain, southwestern Serbia, with data on the calling songs of some bush cricket species
Figure 4. SEM photographs of the stridulatory files: (A) Isophya clara, Gvozd; (B) Isophya clara, Ovčar-Kablar Gorge.
Figure 2 in First results of a faunistic survey on the Orthoptera of Jadovnik Mountain, southwestern Serbia, with data on the calling songs of some bush cricket species
Figure 2. Isophya clara, oscillograms of male calling song from Gvozd. A) 6 syllables; B) syllable with after-click.
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.