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.
12,662
datasets available to search
ShareScore release 0.9.0
Dataset results
12,662 results for “linking”
Experiments for "Automata Theoretic Approach to Verification of MPLS Networks under Link Failures"
<p><strong>Prerequisites:</strong></p> <ol> <li>A 2020 linux distribution on an x86_64 platform</li> <li>python3 installation with os, sys, json and statistics packages installed for computation of timing statistics</li> <li>pdflatex for visualization of reachability matrices</li> </ol> <p><strong>Contents:</strong></p> <ul> <li>The <em>bin</em> folder contains the pre-compiled binaries for our tool and the backend verifier for pushdown-systems, <em>moped.</em></li> <li>The <em>sources</em> folder contains a snapshot of source-code used for producing the tool binary, namely <ul> <li>AalWiNes, also found at https://github.com/DEIS-Tools/AalWiNes in release v0.92.J (337f1e4c44f8bce2060897b88e706f7ceca38319)</li> <li>PDAAAL, used for pushdown-system manipulation, also found at https://github.com/DEIS-Tools/PDAAAL in release v0.2.2.J (ed1e7fbb4cacd6ffb240a514cfe8472f83d91f60)</li> </ul> </li> <li>The <em>nested</em> folder contains scripts and models for reproducing the results of Table IV</li> <li>The <em>nn-net</em> folder contains scripts and models for constructing reachability-matrices (Table V to Table XII) and operator specific queries</li> <li>Within the <em>nn-net</em> folder, you also find a mapping from alphabetical naming of NORDUnet routers in the paper to numericals <em>(nn-net/index-alpha-map.txt)</em></li> </ul> <p><strong>P-Rex vs HSA (Table IV)</strong></p> <p>We here re-use the HSA-timings computed in <a href="https://doi.org/10.1145/3281411.3281432">https://doi.org/10.1145/3281411.3281432</a></p> <p>The timings for our tool can be obtained by the following commands</p> <pre><code class="language-bash">cd nested ./compute_nested.sh | grep "#"</code></pre> <p>which should compute a sequence of lines in the terminal equal to</p> <pre><code class="language-bash">### Running N0 with aalwines ### Memory: 27064 Kb Time 0.02 seconds ### Running N1 with aalwines ### Memory: 37404 Kb Time 0.03 seconds ### Running N2 with aalwines ### Memory: 47704 Kb Time 0.03 seconds ### Running N3 with aalwines ### Memory: 57784 Kb Time 0.04 seconds ### Running N4 with aalwines ### Memory: 68368 Kb Time 0.04 seconds ### Running N5 with aalwines ### Memory: 78468 Kb Time 0.05 seconds ### Running N6 with aalwines ### Memory: 88980 Kb Time 0.06 seconds </code></pre> <p><strong>Operator Queries</strong></p> <p>The experiments on the queries of the operators can be computed via the commands</p> <pre><code class="language-bash">cd nn-net ./compute_operator.sh </code></pre> <p>which should complete less than 10 minutes.</p> <p>The traces and timings are outputted directly to the terminal.</p> <p><strong>Reachability Matrices (Table V to Table XII)</strong></p> <p>This package folder comes pre-populated with the raw computation results. Notice that the <em>compute_grid.sh</em> command will invalidate these results.</p> <p>To compute the full set of reachability tables, you can use the following commands</p> <pre><code class="language-bash">cd nn-net ./make_queries.sh ./compute_grid.sh</code></pre> <p>Notice, however, that this computation in total takes more than two days to complete on a single core.</p> <p>To reduce the size of the experiment, clear the contents of the <em>query</em> sub-folder an modify the <em>make_queries.sh</em> file by commenting out unwanted queries and parameter-combinations.</p> <p>To obtain a matrix, the command</p> <pre><code class="language-bash">./make_grid.sh aalwines IP IP 0 > ip_ip.tex pdflatex ip_ip.tex</code></pre> <p>which generated the IP IP matrix with 0 failures.<br> For the second argument, the following values are supported <em>IP, MPLS</em> while the third argument can also attain the value of <em>ANY</em>. The fourth argument gives the number of link failures.</p> <p>Timing information for the reachability-matrices can be obtained by</p> <pre><code class="language-bash">python3 ./timing_stats.py aalwines 3 IP_IP_UNDER_0</code></pre> <p>where the third argument determines the reduction-type used, and the fourth argument gives the specific query and engine mode used. In the given example we attain the statistics for reduction-mode 3 for the IP-IP matrix using under-approximation on zero link-failures.</p> <p>The <em>pre-reduction</em> and <em>post-reduction</em> elements of the output give the size of the constructed pushdown system before (and after) reduction respectively.</p>
Data from: Linking pollen foraging of megachilid bees to their nest bacterial microbiota
<p>Solitary bees build their nests by modifying the interior of natural cavities and they provision them with food by importing collected pollen. As a result, the microbiota of the solitary bee nests may be highly dependent on introduced materials. In order to investigate how the collected pollen is associated with the nest microbiota, we used metabarcoding of the ITS2 rDNA and the 16S rDNA to simultaneously characterize the pollen composition and the bacterial communities of 100 solitary bee nest chambers belonging to seven megachilid species. We found a weak correlation between bacterial and pollen alpha-diversity and significant associations between the composition of pollen and that of the nest microbiota, contributing to the understanding of the link between foraging and bacteria acquisition for solitary bees. Since solitary bees cannot establish bacterial transmission routes through eusociality, this link could be essential for obtaining bacterial symbionts for this group of valuable pollinators.</p>
ID linking table for all samples that have been sequenced in the CRUK-ICGC Prostate Group projects
<p>Prostate cancer somatic genomic sequencing data generated from 2011 onwards under auspices of the <a href="https://icgc.org/icgc/cgp/70/508/71331">International Cancer Genome Consortium Prostate Cancer UK consortium</a> (CRUK-ICGC Prostate Group), co-led by Colin Cooper and Ros Eeles, with other Principal Investigators (Brewer, Neal, Bova, McDermott, Wedge, Lynch, Massie, and Foster) and others as listed in study publications. Funded by Cancer Research UK and other funders as listed in study publications. Contents and publications related to each dataset are described with each dataset (EGAD) entry.</p> <p>Our study was funded with the ambition of collecting Whole Genome DNA sequence data from 250 prostate cancers, with matching transcriptome and methylome data.</p> <p>The original aims of the project were:</p> <p>1. To understand the significance of multifocal prostate cancer. </p> <p>2. To understand the clinical heterogeneity of prostate cancer to devise markers for predicting outcome and for drug targeting.</p> <p>3. To understand the molecular basis of development and spread of castration-resistant and metastatic disease </p> <p>4. To understand the aetiology of prostate cancer particularly the large variation in incidences that occur in different populations and ethnic groups. </p> <p>This table contains links between all the IDs, in particular between those that have been published in research articles and the The European Genome-phenome Archive (EGA) where the raw sequencing data is held (https://ega-archive.org/studies/EGAS00001000262).</p>
Data from: Linking land use and the nutritional ecology of herbivores: a case study with the Senegalese locust
1) Access to high-quality food is a main driver of population dynamics. For herbivores protein and carbohydrates are key nutrients that are notoriously variable in plants and are affected by land use. However, few studies have linked foraging decisions and performance in the laboratory to the nutritional landscape available in the field. 2) <i>Oedaleus senegalensis</i> is a nonmodel locust, a grass-feeder, and the main pest of millet, a subsistence crop in the Sahel. In this study, we examined dietary preference and locust performance across a range of protein:carbohydrate ratios using the Geometric Framework methodology. We then applied a fitness landscape approach to visualize these results with the plant nutrient contents available across four land-use types: millet, groundnut, fallow, and grazed fields. Finally, we contrasted our results with locust distribution in the field. Several locust species (<i>O. senegalensis</i> included) exhibit density dependent color polymorphism thus we also reported individual coloration (brown or green). 3) We found that <i>O. senegalensis</i> preferred moderately carbohydrate-biased food 1:1.6 protein: carbohydrate ratio. All traits recorded (mass gain, development time, growth rate, molt success, and performance index) were best near that ratio and declined on either side presenting a "hump-shape". Fallow fields contained more plants, particularly grasses, that were both abundant and closer to the optimal protein:carbohydrate ratio recorded from the lab experiments. 4) When we surveyed <i>O. senegalensis</i> abundance and proportion, we found that they were more numerous in the fallow fields. Brown morph individuals, the ones associated with high density, were proportionally more abundant in fallow fields than green individuals. 5) Our study provides evidence that variation in nutritional landscapes—relative to an herbivore's optimal nutrient balance—is a key driver of herbivore population distribution and abundance, and can be used to predict bottom-up effects on herbivore species. protein:carbohydrate ratio recorded from the lab experiments.
Data and code for the paper Atmospheric Observations with E-band Microwave Links – Challenges and Opportunities
<p>Raw and preprocessed data for the paper Atmospheric Observations with E-band Microwave Links – Challenges and Opportunities accepted for publication in the journal Atmospheric Measurement Techniques.</p> <p>The dataset includes total losses (transmitted - received power levels) of commercial microwave links and observations of rainfall, air temperature, and air relative humidity. In addition, theoretical gaseous attenuation calculated from air temperature and relative humidity is provided.</p> <p>Data are stored in semicolon-delimited csv files. Time stamps are in UTC time in the format yyyy-mm-dd HH:MM:SS. Raw data contain not regular time series, preprocessed data contain regular time series at 1-min and 5-min temporal resolution. Metadata are stored in textfiles.</p> <p>Dataset contains also R code for processing and analyzing the data as presented in the paper Atmospheric Observations with E-band Microwave Links – Challenges and Opportunities. The code is in the form of R Markdown files and interactive html notebooks.</p>
Repository: The Distribution of Frosts on Mars: Links to Present-Day Gully Activity
<p>This repository contains:</p> <p>1. Global calculated CO2 frost point temperatures (Kelvin) calculated at 1 ppd every 10 Ls using surface pressure from the online version of the Mars Climate Database<br> (http://www-mars.lmd.jussieu.fr/mcd_python/)<br> CO2 Frost Points</p> <p><br> 2. Local Solar Time and Season of THEMIS CO2 Frost Detections at gully locations<br> corr_gully_detections_filenames_meta</p> <p>3. Calculated CO2 frost amounts (kg/m^2) at 30S, 40S, 50S and 60S on pole-facing slopes<br> Frost Amounts</p> <p>4. Calculated CO2 frost amounts (kg/m^2) varying with lower material thermal inertia, slope azimuth, top material thermal inertia, top material thickness and surface albedo<br> Frost Sensitivity</p> <p>5. Predicted H2O frost lifetimes (hours)<br> H2OFrost_Stability</p> <p>6. Global THEMIS CO2 Frost Detections from Mars Year (MY) 26<br> MY26_THEMIS_CO2_Frost_Detections</p> <p>7. THEMIS CO2 Frost Detections at gully locations (Harrison et al. 2015) from MYs 26 - 35<br> MY26_35_THEMIS_GULLY_CO2_Frost_Detections</p> <p>8. H2O frost temperatures (Kelvin) at the Opportunity rover site<br> Opportunity_H2OFrost</p> <p>9. CO2 Frost detections made by Piqueux et al. (2016) using Mars Climate Sounder data<br> Piqueux et al (2016) MCS CO2 Frost Detections</p> <p>10. TES-derived data<br> a) TES_MY26_H2OFrost_Temp_Map<br> b) TES_MY26_H2OFrost_Temp_Seasonal</p> <p>11. The seasonal variation of the CO2 frost point (Kelvin) at the Viking Lander sites<br> Viking_Lander_Data</p>
One and a half million yearlong aridity during the middle Eocene in north-west China linked to a global cooling episode
<p>Here we present new paleoclimate data from the Eocene red clay sequence deposited between 40 and 50 Ma in Altun Shan at the northeastern edge of the Tibetan Plateau. After building an age model using a compilation of magnetostratigraphy and cyclostratigraphy, we demonstrate that our record of magnetic susceptibility in the Altun Shan red clay exhibits variations linked to eccentricity cycles. Our age model allows us to estimate the age of eight short geomagnetic events, cryprochrons, in Altun Shan. Further we show that the aridification interval in Altun Shan coincides with (i) a cooling event recorded in the global oxygen isotope record, (ii) a sea surface temperature record on the east Tasmanian plateau, and (iii) an aridity record in the surrounding sedimentary basins of Central Asia. The middle Eocene aridity and cooling reached its maximum 45.5-44 Ma.</p>
Video files linked in Coleman and Burge, "Association behavior between sand tiger sharks and round scad is driven by mesopredators"
<p>Videos referred to in the Results, Table 1, Figure 2, and Figure 3 of Coleman and Burge "Association behavior between sand tiger sharks and round scad is driven by mesopredators" are included here. Table S2 lists a description of each video (Descriptions), date (Date of occurrence) and time (Clock time of occurrence) of footage, a timing reference to the description within the video (video time), and a link to Youtube (Video reference) of the same footage. Note that file uploads for videos for views of the field site at Frying Pan Tower (in Materials and Methods and Table S2; <a href="https://www.youtube.com/playlist?list=PLK1g13VpyT6oYUJL7U3hRPlt2U5L_mcKL">https://www.youtube.com/playlist?list=PLK1g13VpyT6oYUJL7U3hRPlt2U5L_mcKL</a>) are not included with these uploads as no data or observations are derived from these videos.</p>
FSR Ownership Links and Enhanced EUTL Dataset
<p>The European Union Emission Trading Scheme (EU ETS) dataset was created by a team of researchers at the Florence School of Regulation in the Robert Schuman Centre for Advanced Studies, European University Institute: J. Jaraite; T. Jong; A. Kažukauskas; A. Zaklan; A. Zeitlberger. The dataset maps Operator Holding Accounts (OHA) and Person Holding Accounts (PHA) from the European Union Emissions Trading System (EU-ETS) to their respective parent companies.</p>
Data for: Improving Kieker's Scalability by Employing Linked Read-Optimized and Write-Optimized NoSQL Storage
<p>We show, how polyglot persistence increase Kieker's scalability by employing separate read-optimized and write-optimized noSQL storage. For this purpose we extended Kieker to store its monitoring output in Apache Cassandra , which is a write-optimized wide-column noSQL database. For the analysis of the generated monitoring output we are using ElasticSearch, a read-optimized document store noSQL storage. We are interlinking read-optimized and write-optimized noSQL storage within our Regression Benchmarking Execution Environment (RBEE). To ensure scalability we are employing a container infrastructure. The mentioned noSQL storages and the linker are operating within one single Docker container which scales horizontally.</p> <p>For generating reference values, we instrumented a Java SE application with Kieker's file system writer and measured throughput and method's execution times. Consecutively, we instrumented the same Java SE application with our Apache Cassandra writer and measured throughput and method's execution time. Finally, we compared measurement results of Kieker's file system writer with the measurement results of our Apache Cassandra writer.</p>
FIGURES 14 – 16. Fig 14 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea
FIGURES 14 – 16. Fig 14, spinnerets of Dobrodesmus mirabilis. Fig 15, spinnerets of Tetracion jonesi Hoffman 1956 (Callipodida, Abacionidae). Abbreviations: sl, extended aperture of spinneret; dp, dorsal division of paraproct; vp, ventral division of paraproct. Fig 16, gonopods of Dobrodesmus mirabilis, ventral view. Abbreviations: cx, gonopod coxa; f, flagellum; p 1, sheathing process of coxa; p 2, triangular process of telopodite; tel, telopodite of gonopo; a?, possible acropodite.
FIGURES 2 – 7. Dobrodesmus mirabilis. Fig 2, collum. Fig 3, sensilla from sixth antennal article. Fig 4 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea
FIGURES 2 – 7. Dobrodesmus mirabilis. Fig 2, collum. Fig 3, sensilla from sixth antennal article. Fig 4, midbody segment, dorsal view. Fig 5, midbody segment, ventral view. Fig 6, anterior right corner of midbody segment, dorsal view. Fig 7, posterior right corner of nonporiferous midbody segment, dorsal view.
FIGURES 17, 18. Fig 17 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea
FIGURES 17, 18. Fig 17, gonopods of Sinocallipus simplipodicus (Callipodida, Sinocallipodidae). Fig 18, left gonopod of Dobrodesmus mirabilis, ventral view. Abbreviations as for Fig 16.
FIGURES 12, 13. Dobrodesmus mirabilis. Fig 12 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea
FIGURES 12, 13. Dobrodesmus mirabilis. Fig 12, ventral view of right lateral part of midbody segment, showing positions of spiracles. Abbreviations: as, anterior spiracle; ps, posterior spiracle. Fig 13. Posterior spiracle.
FIGURE 11 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea
FIGURE 11. Dobrodesmus mirabilis, posterior end, dorsolateral view. Abbreviations: s, spinneret; dp, dorsal division of paraproct; vp, ventral division of paraproct.; t, epiproct.
FIGURES 8 – 10. Dobrodesmus mirabilis. Fig 8 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea
FIGURES 8 – 10. Dobrodesmus mirabilis. Fig 8, Ozopore, lateral view. Fig 9, intercalary microscutes of metazonital dorsum, dorsal view. Fig 10, same.
The Missing Link: A New Skeleton for Evolutionary Multi-Agent Systems in Erlang
<p>Evolutionary multi-agent systems (EMAS) play a critical role in many artificial intelligence applications that are in use today. In this paper, we present a new generic skeleton for parallel EMAS computations, written in Erlang. The skeleton enables us to capture a wide variety of concrete evolu- tionary computations that can exploit the same underlying parallel implemen- tation. We demonstrate the use of our skeleton on two different evolutionary computing applications: i) computing the minimum of the Rastrigin function; and ii) solving an urban traffic optimisation problem. We show that we can ob- tain very good speedups (up to 142.44× the sequential performance using 244 threads on a 61-core accelerator) on a variety of different parallel hardware, while requiring very little parallelisation effort.</p>
Dataset supplementing Marx, S., Gruenhage, G., Walper, D., Rutishauser, U., Einhäuser, W. (2015). Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory. Annals of the New York Academy of Sciences. 1339, 138-153.
<p>Data supplementing the paper Marx, S., Gruenhage, G., Walper, D., Rutishauser, U., Einhäuser, W. (2015). Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory. <em>Annals of the New York Academy of Sciences. 1339, </em>138-153. doi: 10.1111/nyas.12575 The files can be freely used for scientific purposes, provided this reference is appropriately cited.</p> <p>Files contain the behavioral data, the model can be found at https://doi.org/10.5281/zenodo.573026</p> <p> </p> <p>The following files are contained in this folder:</p> <p>dataExp1.mat contains the data of experiment 1</p> <p>The variables durationLeft and durationRight contain 5 x 6 x 6 cell arrays with the dominance durations for the left and right grating, respectively. Dimensions are subject x contrast level left x contrast level right.</p> <p><br> dataExp2.mat contains the data of experiment 2</p> <p>Variables buttonStart, buttonEnd and whichButton contain 3x4x5 (contrast levels x blank duration levels x subjects) cell arrays that contain the start time and end time of each button press, and which button (1/2) was pressed, respectively.</p> <p>Variables presStart and presEnd contain 3x4x5 (contrast levels x blank duration levels x subjects) cell arrays that contain start and end of each blank period. All time stamps refer to the onset of the first blanking trial (end of continuous presentation)</p> <p>Variable prevPerz contains the percept (button) that was pressed at the end of the continuous presentation period.</p> <p><br> figure3_human.m, figure4_human.m and figure6_human.m exemplify the usage of the data by re-plotting the figures containing human data of the aforementioned paper</p>
The MIDI Linked Data Cloud dataset
<p>The study of music is highly interdisciplinary, and thus requires the combination of datasets from multiple musical domains, such as catalog metadata (authors, song titles, dates), industrial records (labels, producers, sales), and music notation (scores). While today an abundance of music metadata exists on the Linked Open Data cloud, datasets containing interoperable symbolic descriptions of music itself, i.e. music notation with note and instrument level information, are scarce. This is the MIDI Linked Data Cloud, a dataset that represents multiple collections of digital music in the MIDI standard format as Linked Data. At the time of writing, the dataset comprises 10,215,557,355 triples of 308,443 interconnected MIDI scores, and provides Web-compatible descriptions of their MIDI events.</p>
Linking Processed Foods and Processing Techniques to the FoodEx2 Coding System
<p>This excel file complements the <a href="https://doi.org/10.5281/zenodo.1488652">EU database of processing factors for pesticide residues</a> by providing the mapping between processed food/feed listed in the database and the FoodEx2 coding system.</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.