Find research datasets worth reusing

opencecill-2.1Apr 2022View details →

Classification of tropical cyclone containing images using a convolutional neural network: performance and sensitivity to the learning dataset

NXTensor extraction library, experiment code, tropical cyclone and background images and their metadata generated from the meterological reanalysis ERA5 and MERRA-2 according to the HURDAT2 cyclone tracks. Version specifications: <ul> <li>NXTensor: v0.3.3.10</li> <li>Experiment code: v2.0.3</li> <li>Image sets: v1</li> </ul>

opencc-by-4.0Aug 2022View details →

Videos of nests of Harpagoxenus sublaevis and Leptothorax acervorum containing Leptothorax acervorum workers transferred as pupae into different social environments i.e. colonies

Ant collection and colony maintenance Colonies of the hosts Leptothorax acervorum and L. muscorum and the dulotic ant Harpagoxenus sublaevis were collected in July 2020 close to Nuremberg, Germany (49.345592, 11.258971 and 49.413857, 11.026181). At the University of Mainz, ants were transferred to plastered nest boxes containing artificial nest sites consisting of a Plexiglas cavity sandwiched between two microscope slides (7.5 cm x 2.5 cm x 0.5 cm) covered with a red foil and kept at 18°C with a 12:12 light: dark cycle. Ants were fed with crickets and honey every fourth day and provided with water ad libitum. Experimental manipulation For our experiment, we selected ten colonies of L. acervorum and five colonies each of L. muscorum and H. sublaevis. Colonies were assigned to one of five replicates, each replicate containing one colony for each of the four treatments. We prepared experimental colonies by standardizing colony size to one queen, 15 small larvae and 30 adult workers (15 inside + 15 outside workers). Adult workers were marked with a thin metal wire between thorax and abdomen (0.02 mm diameter, Elektrisola, red) to allow distinguishing them from our focal newly emerged workers. We removed 24 pupae from each L. acervorum colony, of which six were returned to the natal colony (referred to as “original” treatment), and six each were transferred into another L. acervorum colony (“conspecific” treatment), into an L. muscorum colony (“heterospecific” treatment) and a colony of H. sublaevis (“parasitic” treatment). For the parasitic treatment, we standardized the number of host workers to 60 as described above, but additionally added all H. sublaevis ants (18.4 ± 13.56 adult female individuals). Workers of these obligate social parasites do not take over worker chores, such as brood care and foraging, which are outsourced to host workers. Unfortunately, worker pupae from two of our replicates did not develop into adult workers in sufficient numbers, so that we focused our transcriptomic analyses on workers from the remaining three replicates. Moreover, all L. acervorum pupae transferred into L. muscorum colonies (“heterospecific” treatment) were either killed or expelled from the colony or did not emerge into workers (Survival: Kruskal-Wallis p = 0.05; Rejection (pupae outside the nest over the first three days): Kruskal-Wallis p < 0.001, Wilcoxon Heterospecific-Parasitic p = 0.016, Wilcoxon Heterospecific-Conspecific p = 0.012, Wilcoxon Heterospecific-Original p = 0.004) indicating that L. muscorum not only recognise L. acervorum pupae, but also eliminate them from their colonies. While we were unable to include this heterospecific treatment thus in our analyses, the number of transferred individuals still alive at the end of the experiment did not differ between the remaining treatments (Kruskal-Wallis: p = 0.34). Rejection was calculated as the number of pupae outside the nest over the first three days. Behavioural observations About 10 weeks (63-69 days) after the emergence of the first worker, colonies were transferred to 22°C and the red foil from their glass nest was removed to allow workers to adapt to light. The next day, the slide nest was transferred to a fluon-treated arena (3 cm x 7.5 cm) and each colony was filmed for 100 min in 4k using a SONY FDR-AX33 camera under a Leica KL1500 LED light.

opencc-bySep 2019View details →

Studzienka (rząp, beczka) WATER CONTAINER

Studzienka (rząp, beczka) – publiczny zbiornik z wodą pitną zlokalizowany w sąsiedztwie obecnej ul. Grodzkiej 16, na dawnym placu przy farze lubelskiej pw Św. Michała. Studzienka miała średnicę około 1,2 m i wysokość około 1 m. miała kształt beczki ściśniętej na dole obręczą metalową (4), a od góry obręczami drewnianymi (8). Woda do beczki prowadzana była drewniana rurą zasilającą (1). W jej górnej części były 2 otwory. W pierwszym znajdował się drewniany korek tzw. klapka (3) przez który woda napływała z rury do beczki. Drugi otwór wywiercony pod kątem 60 stopni i zwężający się ku dołowi (2) służył do zamknięcia napływu wody z rury do zbiornika. W trakcie napływu wody klapka się podnosiła a następnie opadała w dół kiedy ciśnienie w zbiorniku było wystarczająco duże. Do studzienki od strony fary prowadziło dojście wyłożone drewnianymi belkami. https://teatrnn.pl/lublin-woda/modele-3-d/ Source: Objaverse 1.0 / Sketchfab

Datasets containing velocity gradients and their residual vorticity magnitude.

This repository contains 4 datasets:   <ol> <li>validation dataset</li> <li>100k entry testing dataset</li> <li>non-sampled training dataset</li> <li>training dataset consisting of 2 part which will be used for training over sampled data </li> </ol>

Supplementary Material for Requirements documentation containing natural language: A Systematic Tertiary Literature Review

Context: Requirements documentation in natural language has diverse artifacts, but few studies address their suitability to types of requirements or ease of communication. Methods: We conducted a systematic tertiary literature review (STLR) and identified 22 relevant review papers that address natural language artifacts used by practitioners to document software requirements. We also investigated which types of requirements are addressed by artifacts and if there are guidelines for each. Results: A variety of artifacts used for this purpose were identified, of which the most referenced in the literature were diagrams, use cases, conceptual models, user stories, and prototypes. The analysis highlighted that artifacts are applied differently to functional and non-functional requirements. In general, diagrams, use cases, scenarios, and prototypes can be used for both types of requirements, depending on the content (usability, security, etc.). However, user stories and derived artifacts are more recommended for functional requirements and have limitations for non-functional requirements. Conclusion: Furthermore, the study explored different guidelines, structures, and formats used in documentation artifacts, reflecting the diversity in requirements documentation practices in software projects.

Effectiveness of a suction device for containment of pathogenic aerosols and droplets

This repository contains the raw data used to plot the figures in the following article: Kai Lordly, Ahmet E. Karataş, Steve Lin, Karthi Umapathy, and Rohit Mohindra, Effectiveness of a suction device for containment of pathogenic aerosols and droplets, PLOS ONE, 2024.

Intrinsic and Environmental Modulation of Stereoselective Aldol Organocatalyzed Reactions by Proline-Containing Lipopeptides

Electronic Supplementar Information (ESI) for the "Intrinsic and Environmental Modulation of Stereoselective Aldol Organocatalyzed Reactions by Proline-Containing Lipopeptides" manuscript

opencc-by-4.0Dec 2023View details →

Nucleotide sequence database of Copper-containing membrane monooxygenases genes for analysing primer pairs targeting the ammonia monooxygenase subunit A gene of complete ammonia oxidising Nitrospira

Nucleotide sequences of 487 Cu-mmo genes, including amoA comammox clade A and clade B, amoA ammonia oxidizing bacteria as well as other Cu-mmo genes.

opencc-by-4.0Feb 2024View details →

Catalogues containing photometry in 22 passbands for 603311 LMC stars and 124578 SMC stars from Bellazzini & Pascale 2024, A&A,

Catalogues from the paper "The RGB Tip in the SDSS, PS1, JWST, NGRST and Euclid photometric systems. Calibration in optical passbands using Gaia DR3 synthetic photometry" by M. Bellazzini (INAF - OAS Bo) & R. Pascale (INAF - OAS Bo), A&A, in press, (<a href="https://arxiv.org/abs/2406.04781" target="_blank" rel="noopener">arXiv:2406.04781</a>).  Stars have been selected from the Gaia DR3 dataset and the magnitudes has been obtained from the Gaia GSPC catalogue of from GaiaXPy as described in Gaia Collaboration 2023. <div>Each catalogue contains:</div> <div> </div> <div> <ul> <li>Column 1-15, parameters directly extracted from the Gaia DR3 source catalogue, namely: source_id, ra, dec, parallax, parallax_error, pmra, pmra_error, pmdec, pmdec_error, ruwe, phot_variable_flag, and non_single_star.</li> <li>Column 16: C⋆, a parameter that is derived from phot_bp_rp_excess_factor (that, in turn, has been extracted from the Gaia DR3 source catalogue) following (Riello et al. 2021).</li> <li>Column 17: colour excess E(B-V), derived from Skowronet al. (2021) and Schlegel et al. (1998); Schlafly & Finkbeiner (2011) as described in Sect. 2.</li> <li>Columns 18-27: standardised ugriz magnitudes in the SDSS system extracted from the Gaia DR3 GSPC (Gaia Collaboration et al. 2023a) and associated uncertainties.</li> <li>Columns 28-37: standardised UBVRI magnitudes in the JKCsystem extracted from the Gaia DR3 GSPC (Gaia Collaboration et al. 2023a) and associated uncertainties.</li> <li>Columns 38-47: standardised grizy magnitudes in the PS1 system computed with GaiaXPy and associated uncertainties.</li> <li>Columns 48-51: standardised F606W, F814W magnitudes in the HST ACS-WFC system extracted from the Gaia DR3 GSPC (Gaia Collaboration et al. 2023a) and associated uncertainties.</li> <li>Columns 52-55: non-standardised F070W and F090W magnitudes in the JWST-NIRCAM system computed with GaiaXPy and associated uncertainties.</li> <li>Columns 56-59: non-standardised R062 and Z087 magnitudes in the NGRST system computed with GaiaXPy and associated uncertainties .</li> <li>Columns 60-61: non-standardised I_E magnitude in the Euclid-VIS system computed with GaiaXPy and associated uncer-tainties (in this case, not corrected for the bias described in Sect. 2.1 of Gaia Collaboration et al. 2023a, hence slightly underestimated).</li> </ul> It is very important to remind that u_SDSS and U_JKC magnitudes from Gaia XPSP are significantly less accurate and pre- cise than all the other magnitudes included in our catalogues (see Gaia Collaboration et al. 2023a, for detailed discussion). Each star can lack some of the 22 magnitudes listed in the catalogues, depending on the signal-to-noise constraints applied to the original GSPC (S/N> 30 Gaia Collaboration et al. 2023a). For example, of the 603311 stars listed in the LMC sample only 83229(85338) have valid u_SDSS (U_JKC ) magnitudes. See Bellazzini & Pascale 2024 for further details and references. </div> We cannot give any hint or guarantee on the behaviour of the completeness of the samples as a function of the various magnitudes and colours, as well as as a function of position in the sky (see Bellazzini & Pascale 2024 for details on the selections applied).

3D model of a small piece of Baltic amber (KM 8) containing four different ant species.

Video S1 of 3D model of a small piece of Baltic amber (KM 8) containing four different ant species. Specimen is kept in the collection of the Kaliningrad Amber Museum, Kaliningrad, Russia

opencc-by-4.0Dec 2013View details →

Figure 2 in From Eradication to Containment: Invasion of French Polynesia by Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) and Releases of Two Natural Enemies: A 17-Year Case Study

Figure 2. Monthly captures of B. dorsalis in methyl eugenol traps on Moorea.

opencc-by-4.0Jun 2024View details →

Supplemental Data for "Adaptive Container Service: a New Paradigm for Robust and Optimized Bioinformatics Workflow Deployment in the Cloud."

All supplemental data for "Adaptive Container Service: a New Paradigm for Robust and Optimized Bioinformatics Workflow Deployment in the Cloud." Abstract: We propose Adaptive Container Service (ACS), a new paradigm for deploying bioinformatics workflows in cloud computing environments. By encapsulating the entire workflow within a single virtual container, combined with automatic workflow checkpointing and dynamic migration to appropriately scaled containers, ACS-based deployment demonstrates several key advantages over alternative strategies: it enables optimal resource provision to any workflow that comprise of multiple applications with diverse computing needs; it provides protection against application-agnostic out-of-memory (OOM) errors or spot instance interruptions; and it reduces efforts required for workflow development, optimization, and management because it runs workflows with minimal or no code modifications. Proof-of-concept experiments show that ACS avoided both under- and over-provisioning in monolithic single-container deployment. Despite being deployed as a single container, it achieved comparable resource utilization efficiency as optimized Nextflow-managed, multi-modular workflows. Analysis of over 18,000 workflow runs demonstrated that ACS can effectively reduce workflow failures by two-thirds. These findings suggest that ACS frees developers from navigating the complexity of deploying robust workflows and rightsizing compute resources in the cloud, leading to significant reduction in workflow development time and savings in cloud computing costs. Contains the following directories: Fig2-bbtools: running metrics for BBTools Fig3-rna-seq: running metrics for RNA-Seq Fig4-Job_records: meta data and running metrics of 18,000+ jobs

Figure 4 in Efficacy of a topical formulation containing esafoxolaner, eprinomectin and praziquantel (NexGard Combo ) against natural infestations with the cat louse, Felicola subrostratus under field conditions

Figure 4. Number of cats according to the clinical score for hair loss in Group 1 (NexGard Combo®).

Figure 7 in Efficacy of a topical formulation containing esafoxolaner, eprinomectin and praziquantel (NexGard Combo ) against natural infestations with the cat louse, Felicola subrostratus under field conditions

Figure 7. Number of cats according to the clinical score for scales in Group 2 (Frontline Combo®).

Figure 6 in Efficacy of a topical formulation containing esafoxolaner, eprinomectin and praziquantel (NexGard Combo ) against natural infestations with the cat louse, Felicola subrostratus under field conditions

Figure 6. Number of cats according to the clinical score for scales in Group 1 (NexGard Combo®).

Figure 2 in Efficacy of a topical formulation containing esafoxolaner, eprinomectin and praziquantel (NexGard Combo ) against natural infestations with the cat louse, Felicola subrostratus under field conditions

Figure 2. Number of cats according to the clinical score for pruritus in Group 1 (NexGard Combo®).

opencc-by-4.0Feb 2018View details →

Repbase repeats and R-gene domains contained therein

Supplementary Table 1: Repeats in Repbase and the count of R-gene related repeats contained therein   Supplementary Table 2: R-gene candidates in different B. napus and B. rapa annotations

opencc-zeroDec 2011View details →

FIg. 1. Map of the central western coastline of Western Australia with known distribution of Urodacus butleri, n. sp. (solid circles). Inset A illustrates the continent of Australia and the area containing the known distribu- tion. Inset B illustrates an enlargement of Barrow Island with the distribution plotted.

FIg. 1. Map of the central western coastline of Western Australia with known distribution of Urodacus butleri, n. sp. (solid circles). Inset A illustrates the continent of Australia and the area containing the known distribu- tion. Inset B illustrates an enlargement of Barrow Island with the distribution plotted.

opencc-by-4.0Jan 2018View details →

Raw diffraction images of cypovirus polyhedra crystals containing Pd(allyl) complexes

Diffraction images of wild type cypovirus polyhedra in-vivo crystals (WTPhC) and the mutant (Δ3-PhC) related to PDB codes <a href="https://www.rcsb.org/structure/5YHA">5YHA</a> and <a href="https://www.rcsb.org/structure/5YHB">5YHB</a>, respectively (<a href="http://dx.doi.org/10.1039/c7cp06651a">Abe et al., 2017, Phys. Chem. Chem. Phys.</a>). Small-wedge (5° or 10°/crystal) datasets were collected from loop-harvested microcrystals automatically with ZOO system using EIGER X 9M detector at a wavelength of 1 Å on BL32XU, SPring-8. The crystals belonged to space group I23 with unit cell parameter a~103 Å. All datasets were processed and merged using KAMO pipeline with XDS. NOTE that master.h5 files were modified; see <a href="https://github.com/keitaroyam/yamtbx/blob/master/doc/eiger-en.md">https://github.com/keitaroyam/yamtbx/blob/master/doc/eiger-en.md</a>.