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Data in support of : Volumetric Deformation Feedback on Fault Stability and Strain Localization Precursor to Stick-Slip Behavior in Laboratory Earthquakes.
<p>This folder contains 3 .txt files:</p> <p> </p> <p>LP1 — low pressure data set.</p> <p>HP1 — High confining pressure experiement.</p> <p>HP2 — High cinfining pressure repeat experiment.</p> <p> </p> <p>The .txt files contain the following columns: Time (s), Pc (bar), VerticalLoad (kN), Horizontalload (kN), DisplacementOE (mm), StrainSG_xx, StrainSG_yy, StrainSG_xy.</p> <p>Strain gauge data are pre-filtered. All other data are raw.</p>
Soil properties and Q10 values along a latitudinal transect and for a 4-year laboratory incubation
<p>Soil physicochemical protection, substrates and microorganisms data were included for soils collected from seven sites along a 5,000-km-long latitudinal transect and from a 4-year laboratory incubation experiment. Q10 values data for microorganism reciprocal transplant experiments and aggregate disruption experiments were also included.</p>
Reference Spectra, Laboratory Mixture Spectra, list of NIMS cubes used in this study and the manual corrections to these NIMS cubes for better alignment.
<p>Reflectance spectra for the endmember library, including both the public data and data made in this study. <br><br>Reflectance spectra for the 100% SAO, 10% SAO, 25% SAO, 80% SAO, and 100% Water ice mixtures.<br><br>Text File of the PDS IDs of NIMS data cubes analyzed in this study.</p> <p>(X,Y) offsets applied to each data cube for better alignment between NIMS data and the Global Mosaic.</p>
Data from 'Sustainability in the laboratory: evaluating the reuseability of microtiter plates for PCR and fragment detection'
<p>This repository contains the data for the manuscript: Sustainability in the laboratory: evaluating the reuseability of microtiter plates for PCR and fragment detection.</p> <p>The script can be found here: https://github.com/AneLivB/SGP</p> <p><strong>Files: </strong></p> <p><strong>R15*_R*.csv</strong></p> <p>The processed data used for the script. All other files of the same name format contain the same elements!</p> <ul> <li> <p>Columns: Rack_location, ID, all loci</p> <ul> <li> <p>Rack_location: the location on the microwell plate the individual had in the wet lab</p> </li> <li> <p>ID: individual identification tag of the animal the DNA sample stems from</p> </li> <li> <p>_a and _b denotes the first and second allele of all loci</p> </li> </ul> </li> </ul> <p><strong>Mismatches</strong></p> <p>A dataframe created by the script and later used to calcualte per treatment single-locus genotype error rates.</p> <ul> <li> <p>Columns: Rack.1, Rack.2, Treatment, No..of.mistyped.alleles, No..of.mistyped.reactions, No..of.reactions, Allelic.error.rate, Genotype.error.rate</p> <ul> <li> <p>Rack.1: One of three racks (R154, R155, R156) from the standard protocol</p> </li> <li> <p>Rack.2: One of three racks (R154, R155, R156) from one of the other treatments (e.g. R154_R2, R154_R3, R154_R4)</p> </li> <li> <p>Treatment: One of three treatments (Internal control, Reused detection plate, Reused PCR plate)</p> </li> <li> <p>No..of.mistyped.alleles: Number of mismatched alleles within one treatment group, within a DNA plate</p> </li> <li> <p>No..of.mistyped.reactions: Number of mismatched single-locus genotypes within one treatment group, within a DNA plate</p> </li> <li> <p>No..of.reactions: Number of single-locus genotypes within one treatment group, within a DNA plate</p> </li> <li> <p>Allelic.error.rate: Error rate per allele</p> </li> <li> <p>Genotype.error.rate: Error rate per single-locus genotypes</p> </li> </ul> </li> </ul> <p><strong>model.mismatch.2.Rdata</strong></p> <p>RData file containing the model output.</p> <p> </p> <p><strong>Manuscript abstract: </strong></p> <p>Single-use plastics (SUPs) are indispensable in laboratory research, but their disposal contributes substantially to environmental pollution. Consequently, reusing common SUP items such as microtiter plates represents a promising strategy for improving laboratory sustainability. However, the key challenge lies in determining whether SUP reuse can be implemented without sacrificing data quality. To investigate this, we conducted a simple experiment to assess the impact of reusing microtiter plates on microsatellite genotyping accuracy. Plates previously used for PCR and fragment detection were cleaned using an environmentally friendly method and then reused. Our results indicate that, while reusing PCR plates significantly increases genotyping error rates due to residual DNA contamination, detection plates can be reused without compromising data quality. Our approach offers laboratories a practical and sustainable option for reducing SUP waste and costs while maintaining research integrity.</p>
Data from: The laboratory domestication of zebrafish: from diverse populations to inbred substrains
<p>We know from human genetic studies that practically all aspects of biology are strongly influenced by the genetic background, as reflected in the advent of 'personalized medicine'. Yet, with few exceptions, this is not taken into account when using laboratory populations as animal model systems for research in these fields. Laboratory strains of zebrafish (Danio rerio) are widely used for research in vertebrate developmental biology, behaviour and physiology, for modelling diseases, and for testing pharmaceutic compounds in vivo. However, all of these strains are derived from artificial bottleneck events and therefore are likely to represent only a fraction of the genetic diversity present within the species.</p> <p>Here we use Restriction site-Associated DNA sequencing (RAD-seq) to genetically characterize wild populations of zebrafish from India, Nepal and Bangladesh, and to compare them to previously published data on four common laboratory strains. We measured nucleotide diversity, heterozygosity and allele frequency spectra, and find that wild zebrafish are much more diverse than laboratory strains. Further, in wild zebrafish there is a clear signal of GC-biased gene conversion that is missing in laboratory strains. We also find that zebrafish populations in Nepal and Bangladesh are most distinct from all other strains studied, making them an attractive subject for future studies of zebrafish population genetics and molecular ecology. Finally, isolates of the same strains kept in different laboratories show a pattern of ongoing differentiation into genetically distinct substrains. Together, our findings broaden the basis for future genetic, physiological, pharmaceutic and evolutionary studies in Danio rerio.</p>
Effects of laboratory domestication on the rodent gut microbiome
<p>Metagenome-assembled genomes generated from a collection of public and newly sequenced metagenomes derived from the rodent gut.</p>
Datasets-Coated soot particles with tunable, well-controlled properties generated in the laboratory with a miniCAST BC and a micro smog chamber
<p>Datasets for manuscript "Coated soot particles with tunable, well-controlled properties generated in the laboratory with a miniCAST BC and a micro smog chamber" by Michaela N. Ess, Michele Berto, Alejandro Keller, Martin Gysel-Beer, Konstantina Vasilatou</p> <p>https://doi.org/10.1016/j.jaerosci.2021.105820</p> <p> </p>
Photos - Tests in laboratory
<p>Photos of the developed platform while testing in the laboratory</p>
Figure 9 in Juvenile development and growth patterns in the mud crab Eurytium limosum (Say, 1818) (Decapoda, Brachyura, Xanthidae) under laboratory conditions
Figure 9. Eurytium limosum. Growth curve for early juvenile stages.
Figure 6 in Juvenile development and growth patterns in the mud crab Eurytium limosum (Say, 1818) (Decapoda, Brachyura, Xanthidae) under laboratory conditions
Figure 6. Eurytium limosum. Pereopods of first juvenile stage.
Figure 3 in Juvenile development and growth patterns in the mud crab Eurytium limosum (Say, 1818) (Decapoda, Brachyura, Xanthidae) under laboratory conditions
Figure 3. Eurytium limosum. First juvenile stage. (a) Mandible; (b) maxillule; (c) maxilla.
Figure 8 in Juvenile development and growth patterns in the mud crab Eurytium limosum (Say, 1818) (Decapoda, Brachyura, Xanthidae) under laboratory conditions
Figure 8. Eurytium limosum. Age at the different juvenile stages.
Figure 2 in Juvenile development and growth patterns in the mud crab Eurytium limosum (Say, 1818) (Decapoda, Brachyura, Xanthidae) under laboratory conditions
Figure 2. Eurytium limosum. First juvenile stage. (a) Antennula; (b) antenna.
Figure 10 in Juvenile development and growth patterns in the mud crab Eurytium limosum (Say, 1818) (Decapoda, Brachyura, Xanthidae) under laboratory conditions
Figure 10. Eurytium limosum. Percentage moult increment against juvenile stage.
Figure 8. Pilumnus spinifer H. Milne Edwards, 1834 in The complete larval development of the crab Pilumnus spinifer (Brachyura: Xanthoidea: Pilumnidae) reared in the laboratory
Figure 8. Pilumnus spinifer H. Milne Edwards, 1834. Maxilla of the megalopa. Scale bar: 0.05 mm.
FIGURE 15 in Laboratory Hybridization among North American Whiptail Lizards, Including Aspidoscelis inornata arizonae × A. tigris marmorata (Squamata: Teiidae), Ancestors of Unisexual Clones in Nature
FIGURE 15. The oviduct (part) and ovary of laboratory hybrid AMNH
FIGURE 14 in Laboratory Hybridization among North American Whiptail Lizards, Including Aspidoscelis inornata arizonae × A. tigris marmorata (Squamata: Teiidae), Ancestors of Unisexual Clones in Nature
FIGURE 14. Volume of the adrenal gland compared to the snout-vent length (SVL)
FIGURE 17 in Laboratory Hybridization among North American Whiptail Lizards, Including Aspidoscelis inornata arizonae × A. tigris marmorata (Squamata: Teiidae), Ancestors of Unisexual Clones in Nature
FIGURE 17. Mesonephros of laboratory hybrid
FIGURE 10 in Laboratory Hybridization among North American Whiptail Lizards, Including Aspidoscelis inornata arizonae × A. tigris marmorata (Squamata: Teiidae), Ancestors of Unisexual Clones in Nature
FIGURE 10. Testis, adrenal gland,
FIGURE 4 in Laboratory Hybridization among North American Whiptail Lizards, Including Aspidoscelis inornata arizonae × A. tigris marmorata (Squamata: Teiidae), Ancestors of Unisexual Clones in Nature
FIGURE 4. Three Aspidoscelis of
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.