Find research datasets worth reusing

opencc-zeroDec 2023View details →

Data from: Combined fluorescent and electron microscopic imaging unveils the specific properties of two classes of meiotic crossovers

Crossovers (COs) shuffle genetic information and allow balanced segregation of homologous chromosomes during the first division of meiosis. Recombination nodules (RNs) are closely correlated with crossing over, and, because they are observed by electron microscopy of synaptonemal complexes (SCs) in extended pachytene chromosomes, RNs provide the highest-resolution cytological marker currently available for defining the frequency and distribution of crossovers along the length of chromosomes. In several organisms, mutants demonstrate that two molecularly distinct pathways produce COs. One pathway produces class I COs that exhibit interference (lowered probability of nearby COs), and the other pathway produces class II COs with little or no interference. However, the relative contributions, genomic distributions, and interactions of these two pathways are essentially unknown in nonmutant organisms because marker segregation only indicates that a CO has occurred, not its class type. Here, we combine the efficiency of light microscopy for revealing cellular functions using a fluorescent probe to MLH1 proteins to mark class I COs with the high resolution of electron microscopy to localize and characterize all COs (RNs) in the same sample of meiotic pachytene chromosomes from wild-type tomato. To our knowledge, for the first time, every CO along each chromosome can be identified by class to unveil specific characteristics of each pathway. We find that class I (MLH1-positive) and class II (MLH1-negative) COs have different recombination profiles along chromosomes. In particular, class II COs, which represent about 18% of all COs, exhibit no interference and are disproportionately represented in pericentric heterochromatin, a feature potentially exploitable in plant breeding. Finally, our results demonstrate that the two pathways are not independent because there is interference between class I and II COs.

opencc-by-4.0Dec 2023View details →

Functionalising the electrical properties of Kombucha zoogleal mats for biosensing applications

Data acquired from the electrical characterisation of pure and functionalised with graphene and zeolite Y Kombucha mats,  including dynamic current-voltage (I-V) profiling, impedance, capacitance, and resistance measurements.

opencc-by-4.0Jan 2024View details →

Data for: Assessing the Impacts of Falling Ice Radiative Effects on the Seasonal Variation of Land Surface Properties

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Moth proboscis morphology material properties raw data

Insects have evolved unique structures that host a diversity of material and mechanical properties, and the mouthparts (proboscis) of butterflies and moths (Lepidoptera) are no exception. Here, we examined proboscis morphology and material properties from several previously unstudied moth lineages to determine if they relate to flower-visiting and non-flower-visiting feeding habits. Scanning electron microscopy and 3D imaging were used to study proboscis morphology and assess surface roughness patterns on the galeal surface, respectively. Confocal laser scanning microscopy was used to study patterns of cuticular autofluorescence, which was quantified with color analysis software. We found that moth proboscises display similar color and morphological patterns in relation to these feeding habits as those previously described for flower and non-flower-visiting butterflies. The distal region of proboscises of non-flower visitors is brush-like for augmented capillarity and exhibited blue autofluorescence, indicating the possible presence of resilin and increased flexibility. Flower visitors have smoother proboscises and show red autofluorescence, an indicator of high sclerotization, which is adaptive for floral tube entry. We propose the lepidopteran proboscis as a model structure for understanding how insects have evolved a suite of morphological and material adaptations to overcome the challenges of acquiring fluids from diverse sources.

opencc-by-4.0Dec 2023View details →

Data: Non-utopian optical properties computed of a tomographically reconstructed real photonic band gap crystal

This repository contains the scripts and data used for the manuscript "Non-utopian optical properties computed of a tomographically reconstructed real photonic band gap crystal'' by LJ Corbijn van Willenswaard, S Smeets, N Renaud, M Schlottbom, JJW van der Vegt and WL Vos This dataset contains the following: <ul> <li>The starting slice of the X-ray holotomagraphy dataset</li> <li> All data generated that is used in the paper including: <ul> <li>X-ray processing results</li> <li>Raw results from the computations</li> <li>Post processed results that are the basis of the manuscript</li> </ul> </li> <li>All scripts that were used to automate this process</li> <li>A copy of: <ul> <li>Nanomesh repository (for x-ray processing)</li> <li>hpgem & DGMax source code (for the computations)</li> </ul> </li> </ul> A more detailed readme is included with the data.

Woody debris removal modifies carbon stocks and soil properties in a fragmented tropical rainforest

We examined whether and how woody debris removal for domestic fuel affects carbon storage and soil properties in an Indian rainforest. Fuelwood removal reduced aboveground carbon stocks, increased soil bulk density, and possibly reduced soil phosphorus stocks. Equitably balancing this subtle trade-off between climate-regulating and vital, widely-utilized provisioning functions, is a challenge for tropical forest research and management.

Extraocular muscle stem cells exhibit distinct cellular properties associated with non-muscle molecular signatures

The muscle stem cell (MuSC) population is recognized as functionally heterogeneous. Cranial muscle stem cells, which originate from head mesoderm, can have greater proliferative capacity in culture and higher regenerative potential in transplantation assays when compared to those in the limb. The existence of such functional differences in phenotypic outputs remain unresolved as a comprehensive understanding of the underlying mechanisms is lacking. We addressed this issue using a combination of clonal analysis, live imaging, and scRNA-seq, identifying critical biological features that distinguish extraocular (EOM) and limb (Tibialis anterior, TA) MuSC populations. Time-lapse studies using a MyogenintdTomato reporter showed that the increased proliferation capacity of EOM MuSCs is accompanied by a differentiation delay in vitro. Unexpectedly, in vitro activated EOM MuSCs expressed a large array of distinct extracellular matrix (ECM) components, growth factors, and signaling molecules that are typically associated with mesenchymal non-muscle cells. These unique features are regulated by a specific set of transcription factors that constitute a coregulating module. This transcription factor network, which includes Foxc1 as one of the major players, appears to be hardwired to EOM identity as it is present in quiescent adult MuSCs, in the activated counterparts during growth and retained upon passages in vitro. These findings provide insights into how high-performing MuSCs regulate myogenic commitment by active remodeling of their local environment.

Soil properties shape the heterogeneity of denitrification and N2O emissions across large-scale flooded paddy soils

The dataset's contents include the relative abundance of different denitrifier types at the genus level across eight different flooded paddy soils. This dataset categorizes denitrifier types in its first column labeled 'Type.' The second column, 'Genus,' associates each type with various species at the genus level. Subsequent columns present the relative abundance of these species in diverse sampling locations. Researchers can leverage this dataset to derive more patterns regarding the differences within specific dominant denitrifier species. No ethical considerations are pertinent to the utilization of this dataset.

opencc-by-4.0Apr 2023View details →

Aggregated database of forest soil chemical properties in the Czech Republic based on surveys from 2000-2020.

The dataset includes data from forest soil surveys conducted in the period 2000–2020. It provides soil and site variables from 8,269 locations. Data are aggregated in three basic soil layers: upper organic soil horizon (FH, 6,876 locations), upper mineral layer 0–30 cm (M03, 8,051 locations) and deeper mineral soil layer (30–80 cm, M38, 2,260 locations). This dataset is linked to the following article published in Annals of Forest Science: Neudertová Hellebrandová, K., Fadrhonsová, V. & &Scaron;rámek, V. Aggregated database of forest soil chemical properties in the Czech Republic based on surveys from 2000 to 2020. Annals of Forest Science 81, 17 (2024). <a href="https://doi.org/10.1186/s13595-024-01225-y">https://doi.org/10.1186/s13595-024-01225-y</a>

opencc-by-4.0Nov 2023View details →

CMAD: A Dataset of Conflicting Marks from the Brazilian Intellectual Property Office

CMAD, an acronym for Conflicting Marks Archive Dataset, is a dataset that has been meticulously organized into pairs of marks (Number of pairs=18,355) involved in conflicts of copyright infringement between word, figurative and mixed marks. Marks sought registration with the National Institute of Industrial Property (INPI) in Brazil, and had their applications denied after analysis by intellectual property specialists.

opencc-by-4.0Feb 2024View details →

A data set on_Electrical and colloidal properties of hydrogenated nanodiamonds: effects of structure, composition and size

The data set to paper:  Electrical and colloidal properties of hydrogenated nanodiamonds: effects of structure, composition and size Stepan Stehlik1,2*, Ondrej Szabo2, Ekaterina Shagieva2, Daria Miliaieva2, Alexander Kromka2, Zuzana Nemeckova3, Jiri Henych3, 4, Jan Kozempel5, Evgeny Ekimov6, Bohuslav Rezek7 1 New Technologies – Research Centre, University of West Bohemia, Univerzitní 8, 306 14, Pilsen, Czechia 2 Institute of Physics of the Czech Academy of Sciences, Cukrovarnická 10, 162 00 Prague 6, Czechia 3 Institute of Inorganic Chemistry of the Czech Academy of Sciences, 250 68 Husinec-Řež, Czechia 4 Faculty of Environment, Jan Evangelista Purkyně University in Ústí nad Labem, Pasteurova 3632/15, 400 96 Ústí nad Labem, Czechia 5 Department of Nuclear Chemistry, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7, Prague 1, 115 19, Czechia 6 Vereshchagin Institute for High Pressure Physics, Russian Academy of Sciences, Moscow 108840, Russia 7 Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27 Prague, Czechia *principal investigator: stehlik@fzu.cz Data manager: Jan Jaro&scaron;: Jan.Jaros2@vut.cz Date of data collection: 1. 6. 2020 - 18. 1. 2024 All the data showed in the pictures are provided in X-Y format with described sample. Always, the respective Figure to which the data belong is provided in high resolution.  The data are in the following formats:  Figure 1: tiff, csv Figure 2: tiff, csv Figure 3: tiff, csv Figure 4: tiff, csv Figure 5: tiff, csv Figure 6: tiff Data acquistion methods and conditions and data processing is provided in the Experimental part in the publication: DOI:10.1016/j.cartre.2024.100327

opencc-by-4.0Feb 2024View details →

Data and Codes for Experimentally Validated Inverse design of Multi Property Fe-Co-Ni alloys: Data and codes release v1.0.1

Data and Codes for Experimentally Validated Inverse design of Multi-Property Fe-Co-Ni alloys

opencc-by-4.0Nov 2023View details →

Effect of Long-Range Transported Fire Aerosols on Cloud Condensation Nuclei Concentrations and Cloud Properties at High Latitudes

The tab-delimited files contain Aerosol chemical composition data, size distribution data measured by AMS, ACSM, MAAP, and SMPS, and DMPS at the SMEAR IV station (Puijo) and the Zepplein observatory (Zep) . Please read the file named 'Information.txt' for more details about the files.

Research Data - Dose and Compositional Dependence of Irradiation-Induced Property Change in FeCr

Research data and associated processing and plotting scripts for the article: Song et al., 'Dose and compositional dependence of irradiation-induced property change in FeCr', Journal of Nuclear Materials, 154998, 2024 <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jnucmat.2024.154998" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jnucmat.2024.154998</a>

Single scattering properties of ice hydrometeors between 0.2 and 99 um (Bi and Yang, 2017)

This dataset contains the single-scattering properties of ice particles from Yang et al. (2013), including the refinements by Bi and Yang (2017), converted to the XML format of the Atmospheric Radiative Transfer Simulator (ARTS). The data correspond to various shapes and particle surface roughness, covering wavelengths between 0.2 and 99 um. The accompanying README gives a bit more of information.  For questions on this version of the data, please contact patrick.eriksson@chalmers.se References: Bi, L., and P. Yang, 2017: Improved ice particle optical property simulations in the ultraviolet to far-infrared regime, J. Quant. Spectrosc. Radiat. Transfer, 189, 228-237. Yang, P., L. Bi, B.A. Baum, K.-N. Liou, G.W. Kattawar, M.I. Mishchenko, and B. Cole, 2013: Spectrally consistent scattering, absorption, and polarization properties of atmospheric ice crystals at wavelengths from 0.2 µm to 100µm, J. Atmos. Sci., 70, 330-347.

Data for "From Kitchen Garden to Multifunctionality: Leek-inspired Surface Structures Introduce Optical and Self-cleaning Properties to Cellulose-based Films"

UV-Vis: The optical properties were measured from 300 nm to 800 nm. The transmittance and haze were calculated using the following equations, and the results were reported for three sets of measurements: Transmittance (%) = T2/T1  × 100                 Haze (%) = (T4/T2 - T3/T1) × 100                     where  T1 is the reference transmitted light without the sample, T2 is the total light transmitted with the presence of the sample, T3 is light beam scattering by the UV-Vis device, and T4 is the diffusive transmittance, referring to the light transmitted by both the sample and the device.  The zip files are named by noting 'UV-Vis' followed by the type of sample. Current density-Voltage: Seven sets of measurements were conducted on perovskite solar cell (PSC) devices, comparing the performance of uncoated (noted as pristine) devices to those coated with the replica. Additionally, another seven sets of measurements compared the performance of devices with and without the replica+2%CW coating. The data are recorded in .txt files noted by 'Current density-Voltage spectra.' Light scattering with halogen light beam: The intensity of the illuminated light is determined for the length of a horizontal line passing through the center by using image analysis. The intensities are provided for all the cases, i,e,. with no film, with plain CA film, and with the replica. The .txt file is named 'Light scattering with halogen light beam.'

opencc-zeroMar 2024View details →

Data from: Relationships between rhizosphere microbial communities, soil abiotic properties and root trait variation within a pine species

Rhizosphere microbes play important roles in plant performance and ecosystem functioning. It is becoming increasingly clear that rhizosphere communities vary with soil properties and variation in root traits among plant species. However, less is known about whether and how variation in root traits within plant species influences the rhizosphere microbial communities. We evaluated the intraspecific root traits variation and explored their associations with bacterial and fungal communities in rhizosphere by focusing on an ectomycorrhizal tree species, i.e., Pinus massoniana, in 22 sites in subtropical China. The first dimension of the principal component analysis on root traits revealed evidence for the 'conservation' gradient of the root economics space. Overall, root traits explained more variation in fungal communities than in bacterial communities in the rhizosphere. Functional composition of rhizosphere microbial communities changed significantly along the 'conservation' gradient, with fast-growing copiotrophic bacteria and symbiotic ectomycorrhizal fungi were significantly enriched on the 'acquisition' side, while slow-growing oligotrophic bacteria were significantly enriched on the 'conservation' side of the gradient. Synthesis: Our study demonstrates that intraspecific variation in plant roots significantly influence rhizosphere microbial communities, which in turn can influence plant nutrition and therefore plant performance within the community.

Dataset for publication: "Spectroscopic properties and photoluminescence of the Li2B4O7:Mn,Sm glass"

Dataset for the article: B.V. Padlyak, I.I. Kindrat, V.T. Adamiv, A. Drzewiecki, I. Stefaniuk, Spectroscopic properties and photoluminescence of the Li2B4O7:Mn,Sm glass, Materials Research Bulletin 175 (2024) 112788, <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.materresbull.2024.112788" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.materresbull.2024.112788</a>

Experiments for an Approach to Complete Property-Oriented Testing Based on Black Box Checking

The experiments2.tar.zstd archive contains the scripts, yaml-files, software and model files to create Docker containers that run the experiments. The data2.tar.zstd archive contains the collected log files.

Experiments for a Model-Based Approach to Complete Property-Oriented Testing

The experiments1.tar.zstd archive contains the scripts, yaml-files, software and model files to create Docker containers that run the experiments. The data1.tar.zstd archive contains the collected log files.