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13,864 results for “staging”
Phenotypic data related to genetic architecture of transmission stage production and virulence in schistosome parasites
<p>These data were generated related to the study of the <strong>Genetic architecture of transmission stage production and virulence in schistosome parasites</strong>.</p> <p><strong>Abstract:</strong> Both theory and experimental data from multiple pathogens suggest that the production of transmission stages should be strongly associated with virulence, but the genetic bases of parasite transmission/virulence traits are poorly understood. In the blood fluke <em>Schistosoma mansoni</em>, parasite genotypes show extensive variation in numbers of cercariae larvae shed from infected snails. Furthermore, high shedding parasites cause high mortality to snails while low shedding parasites cause low mortality, consistent with expected trade-offs between parasite transmission and virulence. To understand the genetic basis of transmission stage production/virulence, we conducted reciprocal crosses between schistosomes from two laboratory populations that differ 8-fold in cercarial shedding and in their virulence to inbred snail hosts. Each parasite generation, we determined four-week cercarial shedding profiles in inbred <em>Biomphalaria glabrata</em> snails infected with single parasite larvae. We sequenced the whole genome of the F0 parents and the exome of the F1 progeny and 188 F2 progeny from each cross, and used linkage mapping to reveal quantitative trait loci (QTLs) underlying transmission stage production. Cercarial production is polygenic: we found three major QTLs on chromosome 1, 3 and 5 (Log-of-the-odds (LOD) = 5.61, 8.19, 6.25) and two minor QTLs on chromosome 2 and 4. These QTLs act additively and explained 28.56% of the phenotypic variation in cercarial shedding. Alleles inherited from the high and low shedding parents were co-dominant at all QTLs, except for chr. 1 and chr. 4 where the “high cercarial shedding” allele is recessive. These results demonstrate that the genetic architecture of key traits directly relevant to schistosome ecology can be dissected using classical linkage mapping approaches, and set the stage for fine mapping and functional validation of the genes involved using the growing armory of functional and cell biology tools available for this parasite.</p> <p> </p> <p>This dataset is made of 4 tables:</p> <ul> <li>F0_parental_populations.csv</li> <li>F1.csv</li> <li>F2.csv</li> <li>sex.tsv</li> </ul> <p> </p> <p><strong>F0_parental_populations.csv</strong></p> <p> </p> <p>This table contains the number of cercariae produced by each individual <em>Biomphalaria glabrata</em> Bg26 snails infected with single genotypes of <em>Schistosoma mansoni</em> parasite. We have compared the transmission stage production between two different populations of <em>S. mansoni</em> parasite. This dataset was originally published in Le Clec'h et al., 2019 (Striking differences in virulence, transmission and sporocyst growth dynamics between two schistosome populations. Parasites and Vectors. 2019 Oct 16;12(1):485. doi: 10.1186/s13071-019-3741-z).</p> <p> </p> <p>This table is made of 9 columns:</p> <ul> <li><strong>id</strong>: the unique identifier of each sample.</li> <li><strong>schistosoma_population</strong>: the population of schistosome used for the infection of the snail. Each snail was infected with a single parasite genotype. We have used SmLE (high shedder/highly virulent population) and SmBRE (low shedding/low virulent population).</li> <li><strong>Shed.1</strong>: the number of cercariae produced by each parasite genotype at the first shedding week (4 weeks after exposure to parasite).</li> <li><strong>Shed.2</strong>: the number of cercariae produced by each parasite genotype at the second shedding week (5 weeks after exposure to parasite).</li> <li><strong>Shed.3</strong>: the number of cercariae produced by each parasite genotype at the third shedding week (6 weeks after exposure to parasite).</li> <li><strong>Shed.4</strong>: the number of cercariae produced by each parasite genotype at the fourth shedding week (7 weeks after exposure to parasite).</li> <li><strong>sum</strong>: the sum of the cercariae produced by each parasite genotype over the 4 weeks of shedding (Shed.1 + Shed.2 + Shed.3 + Shed.4).</li> <li><strong>average</strong>: the average number of cercariae produced by each parasite genotype over the 4 weeks of shedding.</li> <li><strong>sex</strong>: the sex of each parasite genotype determined by PCR <sup>1</sup>.</li> </ul> <p> </p> <p><strong>F1.csv</strong></p> <p> </p> <p>This table contains the number of cercariae produced by each individual <em>Biomphalaria glabrata</em> Bg26 snails infected with single genotypes of F1 progeny from the cross SmLE x SmBRE (see the manuscript for details).</p> <p> </p> <p>This table is made of 11 columns:</p> <ul> <li><strong>id</strong>: the unique identifier of each sample.</li> <li><strong>cross</strong>: F1A or F1B cross. Each snail was infected with a single parasite genotype from either F1A or F1B progeny.</li> <li><strong>Shed.1</strong>: the number of cercariae produced by each parasite genotype at the first shedding week (4 weeks after exposure to parasite).</li> <li><strong>Shed.2</strong>: the number of cercariae produced by each parasite genotype at the second shedding week (5 weeks after exposure to parasite).</li> <li><strong>Shed.3</strong>: the number of cercariae produced by each parasite genotype at the third shedding week (6 weeks after exposure to parasite).</li> <li><strong>Shed.4</strong>: the number of cercariae produced by each parasite genotype at the fourth shedding week (7 weeks after exposure to parasite).</li> <li><strong>sum</strong>: the sum of the cercariae produced by each parasite genotype over the 4 weeks of shedding (Shed.1 + Shed.2 + Shed.3 + Shed.4).</li> <li><strong>average</strong>: the average number of cercariae produced by each parasite genotype over the 4 weeks of shedding.</li> <li><strong>PO</strong>: the total phenoloxidase activity in infected snail hemolymph, measured at 7.5 weeks post-exposure <sup>2</sup>.</li> <li><strong>Hb</strong>: the hemoglobin rate in infected snail hemolymph, measured at 7.5 weeks post-exposure <sup>3</sup>.</li> <li><strong>sex</strong>: the sex of each parasite genotype determined by PCR <sup>1</sup>.</li> </ul> <p> </p> <p><strong>F2.csv</strong></p> <p>This table contains the number of cercariae produced by each individual <em>Biomphalaria glabrata</em> Bg26 snails infected with single genotypes of F2 progeny from the cross SmLE x SmBRE (see the manuscript for details).</p> <p> </p> <p>This table is made of 10 columns:</p> <ul> <li><strong>id</strong>: the unique identifier of each sample.</li> <li><strong>cross</strong>: F2A or F2B cross. Each snail was infected with a single parasite genotype from either F2A or F2B progeny.</li> <li><strong>Shed.1</strong>: the number of cercariae produced by each parasite genotype at the first shedding week (4 weeks after exposure to parasite).</li> <li><strong>Shed.2</strong>: the number of cercariae produced by each parasite genotype at the second shedding week (5 weeks after exposure to parasite).</li> <li><strong>Shed.3</strong>: the number of cercariae produced by each parasite genotype at the third shedding week (6 weeks after exposure to parasite).</li> <li><strong>Shed.4</strong>: the number of cercariae produced by each parasite genotype at the fourth shedding week (7 weeks after exposure to parasite).</li> <li><strong>sum</strong>: the sum of the cercariae produced by each parasite genotype over the 4 weeks of shedding (Shed.1 + Shed.2 + Shed.3 + Shed.4)</li> <li><strong>average</strong>: the average number of cercariae produced by each parasite genotype over the 4 weeks of shedding.</li> <li><strong>PO</strong>: the total phenoloxidase activity in infected snail hemolymph, measured at 7.5 weeks post-exposure <sup>2</sup>.</li> <li><strong>Hb</strong>: the hemoglobin rate in infected snail hemolymph, measured at 7.5 weeks post-exposure <sup>3</sup>.</li> </ul> <p> </p> <p><strong>sex.csv</strong></p> <p> </p> <p>This table contains the <em>in silico</em> sexing of F0 parents, F1 parents and F2 progeny of <em>S. mansoni</em> parasites.</p> <p>This table is made of 4 columns:</p> <ul> <li><strong>id</strong>: the unique identifier of each sample</li> <li><strong>read_depth</strong>: the read depth ratio between the Z-linked and pseudo-autosomal regions.</li> <li><strong>ratio</strong>: computed ratio between the Z-linked and pseudo-autosomal regions.</li> <li><strong>sex</strong>: the sex of each parasite genotype determined <em>in silico</em>: a ratio around 1 corresponds to a male carrying two Z chromosomes while a ratio around 0.5 corresponds to a female carrying only one Z chromosome.</li> </ul> <p><strong>Notes:</strong></p> <p><sup>1</sup>. Le Clec’h W, Chevalier F et al. Real-time PCR for sexing Schistosoma mansoni cercariae. Mol Biochem Parasitol. Jan-Feb 2016; 205(1-2):35-8.doi: 10.1016/j.molbiopara.2016.03.010. Epub 2016 Mar 26.</p> <p><sup>2</sup>. Le Clec’h W et al. Characterization of hemolymph phenoloxidase activity in two Biomphalaria snail species and impact of Schistosoma mansoni infection. Parasit Vectors. 2016 Jan 22; 9:32.doi: 10.1186/s13071-016-1319-6.</p> <p><sup>3</sup>. Le Clec'h et al. Striking differences in virulence, transmission and sporocyst growth dynamics between two schistosome populations. Parasit Vectors. 2019 Oct 16; 12(1):485. doi: 10.1186/s13071-019-3741-z.</p>
A simple, static and stage mounted direct electron detector based electron backscatter diffraction system
<h3><strong>Data set for </strong><i><strong>A simple, static and stage mounted direct electron detector based electron backscatter diffraction system</strong></i></h3><p>T.Zhang, T. B. Britton</p><p> </p><h3><strong>Contents</strong></h3><p><strong>- New in v2.0.0: CAD drawings of the stage</strong></p><p> </p><p>- Single Si(100) diffraction patterns at 4 camera lengths, and at 4 corners of the sample</p><p>- Horizontal and vertical line scan on Si(100) with 20 grid points</p><p>- 20x20 mapping scan on a polycrystalline Cu sample</p><p>Scan parameters for the line scans and map are included in logfiles within each subfolder.</p><p> </p><p>All pattern files are provided in .h5 format and .tif format. Analyses of the patterns were performed with AstroEBSD and MTEX.</p>
Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma
<p>Code and data for the MS <strong>"Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma"</strong></p>
Forest stages in OAL-Austria (2007)
<p>Forest stages in the upslope contributing area of OAL-Austria, derived from airborne laserscanning data</p> <p>Further details can be found in D4.5 of the OPERANDUM project.</p>
Alkanna tinctoria (L.) Tausch roots in different soils and developmental stages, HPLC peak areas of alkannins/shikonins
<p>Table of peak areas of alkannins detected in the HPLC-UV/Vis analysis of extracts of <em>Alkanna tinctoria</em> (L.) Tausch root samples cultivated in the greenhouse in various soils. Samples come from four different stages of plant growth.</p>
Oregon Wolfe Barley (Hordeum vulgare) Informative & Spectacular Subset (ISS) vegetative stage growth data
<p>Oregon Wolfe Barley Informative & Spectacular Subset (ISS) was raised at the Ag Alumni Seed Phenotyping Facility (AAPF) at Purdue University (West Lafayette, Indiana, USA) for 42 days. There were 18 genotypes, with two replicates for each genotype (total plants: 36). AAPF is a controlled environment high-throughput phenotyping facility with automated imaging and irrigation systems. A virtual tour of AAPF can be found at <a href="https://ag.purdue.edu/aapf/virtual-tour.html">https://ag.purdue.edu/aapf/virtual-tour.html</a>.</p> <p>Seeds were sown in a 6 L pot with 2.8 L of Profile Porous Ceramic Greens Grade and Berger BM6 each with 10g of Osmocote. Five hundred ml of Turface was laid on top of each pot to avoid effect of algae for RGB data derivation. The growth temperature in the chamber was 72/68 degrees Fahrenheit day/night. Relative humidity was set at 60%. Lighting was 16 h day/8 h night.</p> <p>Plants were imaged with RGB camera from one top and 12 side views three times a week, ranging between 10 days from planting (equivalent to sowing, Dfp) to 42 Dfp. Ground reference data of plant height and tiller count were measured twice a week. </p> <p> </p> <p>RGB imaging data were stored in “OWB_RGB.xlsx”. Datasheet “Information” describes the variables in datasheets for top view, side average view and every side view.</p> <p> </p> <p>Ground reference data for plant height and tiller count were stored in “OWB_ground_reference.xlsx”. Datasheet “Information” describes the variables in datasheet “Data”.</p>
Soil pH, developmental stages and geographical origin differently influence the root metabolomic diversity and root-related microbial diversity of Echium vulgare from native habitats
<p>R Studio codes and ASV table used to analyze the microbiome data of our Echium vulgare microbial ecology experiment. </p>
Data gathered during the first and second stage of carrying out the NCN research project "Odmieńcy. Performances of otherness in the Polish transition culture" (year 2022 and 2023) - PI
<p>Data gathered during the first and secon phase of the project "Odmieńcy. Performances of otherness in Polish transition culture" by Dorota Sosnowska used as a basis for two papers: <a href="https://open.icm.edu.pl/items/9117fe29-528d-43ff-99c7-2e1fe0a8a93a">Blasted 1999. Sarah Kane’s Body Against the Archive (icm.edu.pl)</a> and <a href="https://open.icm.edu.pl/items/0aa7964c-b690-42af-8f7c-3d4fc62084b5">Brzydkie uczucia. O nudzie w sztuce i teatrze lat’ 90 (icm.edu.pl)</a></p>
Data gathered during the first and second stage of carrying out the NCN research project "Odmieńcy. Performances of otherness in the Polish transition culture" (year 2022 and 2023)
<p>Data gathered during the first and secon phase of the project "Odmieńcy. Performances of otherness in Polish transition culture" by Łukasz Kiełpiński used as a basis for two papers: <a href="../records/10625768">Zarządzanie ambiwalencją. Polski dyskurs ekspercki wokół HIV/AIDS na przełomie lat osiemdziesiątych i dziewięćdziesiątych XX wieku (zenodo.org)</a> and <a href="../records/10625805">Gra o sumie zerowej. Ekonomia wstydu w filmie "Pora na czarownice" (zenodo.org)</a></p>
Salt gauging and stage-discharge curve, Avançon de Nant, outlet Vallon de Nant catchment
<p>This data set contains the salt gaugings completed over the period 2016 - 2017 to establish a stage-discharge curve at the <a href="https://s.geo.admin.ch/7834d541d2">outlet of the Vallon de Nant catchment</a>. The data set contains also the latest version of the estimated stage-discharge curve, compared to the theoretical curve estimated from the geometric properties of the weir.</p> <p>The salt gaugings have been obtained independently by two different research groups from</p> <ul> <li>Institute of Earth Surface Dynamics (<a href="https://www.unil.ch/idyst/en/home/menuinst/research-topics/water-and-elemental-cycles/catchment-hydrology.html">IDYST</a>), Faculty of Geosciences and Environement (FGSE), University of Lausanne (UNIL),</li> <li>Stream Biofilm and Ecosystem Research Laboratory (<a href="https://sber.epfl.ch/">SBER</a>), School of Architecture, Environmental and Civil Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland,</li> </ul> <p>The stream gauging station itself was constructed thanks to a joint funding by the Swiss Federal Institute for Forest, Snow and Landscape (WSL), University of Lausanne (chair of Prof. S. Lane) and ETH Zürich (chair of Prof. J. Kirchner).</p> <p>The gauging station is maintained by the <a href="http://www.wsl.ch/en/about-wsl/organization/research-units/mountain-hydrology.html">Mountain Hydrology and Mass Movements research uni</a>t of the Swiss Federal Institute for Forest, Snow and Landscape (WSL) and by the<a href="https://www.unil.ch/idyst/en/home.html"> Institute of Earth Surface Dynamics</a> of University of Lausanne.</p> <p> </p>
Gene-level counts according to their poly(A) length and additional uridine modifications in several stages of zebrafish, Xenopus, and mouse embryos
<p>This HDF5 file contains the processed data of primary poly(A) tail length analyses for the TAIL-seq runs used for Chang and Yeo et al. (2018; doi:10.1016/j.molcel.2018.03.004). The read count tables are stored under the two-level group structure of the run identifier as the first level and the sample identifier as the second level. A dataset at a leaf node is an unsigned integer array of the read count numbers by the length of poly(A) in rows and the length of U tails following after poly(A) in columns.</p> <p>Please refer to the <a href="https://data.mendeley.com/datasets/tzc5wwczyg/1">supplementary data page</a> of the original paper for more information about the experimental design.</p> <p> </p>
Four-stages FAIR Roadmap - FAIR "Pyramid"
<p>On the basis of the experience of a community of practitioners, experts, engineers involved in the development of the EPOS Research Infrastructure, now with the ERIC status, involved in the ENVRI cluster and participating to the ENVRI-FAIR initiative, a common approach was observed, which is reflected into the re-organization FAIR principles into a four-stages roadmap which include: a) <em>data</em> stage, b) <em>metadata</em> stage, c) <em>access</em> stage and d) <em>use</em> stage.<br> These stages correspond to the actual conceptual approach driving day-to-day work of RI implementers in the solid Earth domain (EPOS). </p> <p>Data are usually the main business and wealth of scientists and data practitioners in RIs. As a consequence, the first conceptual step relates to data aspects (<em>Stage 1</em>). Once data is properly managed, RIs professional tend to conceptually tackle the challenge of data description and identification, in order to create the premises for data searchability and contextualization (<em>Stage 2</em>). Once data is properly managed, described and contextualized by means of metadata, then RIs practitioners approach the issue of making it accessible to users (<em>Stage 3</em>). In order to include functionalities that go beyond data access, for instance data analysis and processing, FAIR RIs and data stewardship systems should address a <em>fourth stage</em> concerned with services that <em>make use</em> of data (<em>Stage 1</em>) and metadata (<em>Stage 2</em>) FAIRly accessed (<em>Stage 3</em>) and produce new (meta)data as output.</p>
The ID+Stage Prototype
<p>This video shows function and design of the ID+Stage Prototype. For further information have a look at the project website: <a href="http://www.idpluslab.de">www.idpluslab.de</a></p>
Customizable induction heating profiles: from tailored colloidally stable nanoparticles towards multi-stage heatable supraparticles
<p>This data publication is based on the metadata and datasets underlying the manuscript: "Inductively heatable nano- and supraparticles: from colloidally stable hot nanoparticles to supraparticles with customizable multi-stage heating profiles"</p> <p>Magnetic nanoparticles (NPs) are efficient heat mediators in induction heating. Originally explored for hyperthermia, their applications have broadened to industrial processes where temperature control is crucial. By adjusting the NP composition or morphology, magnetic characteristics such as Curie temperatures can be tailored, allowing control over maximum heating thresholds. These NPs are, however, usually designed for maximum heating rates at specific magnetic fields. In this work, the synthesis is presented for colloidally stable Co and ZnCo ferrite NPs with customizable maximum heating temperatures, and their combination within micron-scaled supraparticles (SPs). Maximum induction heating temperatures of ZnCo ferrite NPs are tuned between 150 and 220 °C, while customization of Co ferrite species yields temperatures between 200 and 350 °C. These distinct magnetic properties are exploited in the selective multi-stage heating of SPs consisting of both species. Here, ZnCo ferrite components heat up to a first temperature plateau at low alternating magnetic fields (AMF), while Co ferrite NPs reach higher temperatures at increased AMF. The precise control of induction heating thresholds through the adaptability of NPs offers a high degree of customizability which makes induction heating particularly attractive for applications requiring sequential or spatial heating, such as catalysis or debonding on demand.</p>
Model weights for a Weather4cast 2021 Challenge Stage 1 solution
<p>This repository contains the pre-trained model weights for the TensorFlow/Keras models used in the <a href="https://www.iarai.ac.at/weather4cast/2021-competition/challenge/">Weather4cast 2021 Challenge Stage 1</a> by the team "antfugue". The model code can be found in <a href="https://github.com/jleinonen/weather4cast-stage1">https://github.com/jleinonen/weather4cast-stage1</a> along with instructions on where to extract the weights.</p>
PixelCropRobot dataset: images of vegetables crops in different phenological stages taken in greenhouses
<p><em>Dataset created under the PixelCropRobot project, developed by FCUP, INESC TEC and FEUP.</em></p> <p><strong>Dataset folder:</strong></p> <blockquote> <p>This folder contains the images of each species in two formats (3456 × 4608 pixels and 864 × 1152 pixels), the annotations of the 864 × 1152 px. images, in Pascal VOC (.xml) and YOLO (.txt) formats and also a set of Python scripts useful for managing the dataset.</p> </blockquote> <p>The aim was to capture images of eight crops selected taking into account the length of the crop cycle (annual), the intensity of agricultural practices (mainly weed removal) and the low impact of pests and diseases.</p> <p>The images were captured using a smartphone (Huawei Mate 10 Lite), with 16 megapixels (MP) resolution (3456 × 4608 px.), in Professional mode (no flash, continuous autofocus, automatic ISO and shutter speed). Image collection took place at different hours of the day, with variable lighting conditions.</p> <p>The images are divided as follows (in parenthesis are the classes):</p> <ul> <li>Arugula - 312 (coty, minus9, plus9)</li> <li>Carrot - 533 (coty, smallleaves, carrot)</li> <li>Coriander - 321 (coty, smallleaves, coriander)</li> <li>Lettuce - 1426 (coty, minus9, plus9, ready)</li> <li>Radish - 494 (coty, smallleaves, bigleaves, root)</li> <li>Spinach - 270 (spinach, big)</li> <li>Swiss chard - 454 (coty, chard)</li> <li>Turnip - 313 (coty, smallleaves, turnip)</li> </ul> <p>To standardise the dataset, each image was renamed according to the corresponding EPPO (European and Mediterranean Plant Protection Organization) code and the date of creation of that image. The size of each image was also reduced four times (to 864 × 1152 pixels) to facilitate processing. For example, an image of lettuce captured on June 22 presents the name as follows: LACSA_Jun_22_x_864_1152.jpg.</p>
Transition metal-free approach for late-stage benzylic C(sp3)–H etherifications and esterifications
<p><strong>Description of the dataset: </strong></p> <p><strong>Origin of the data: </strong>Experimental spectroscopic measurements<br> <strong>Data Type: </strong>experimental measurements, open access supporting information<br> </p> <p>The data are in CSV, XLSX and FBSW. Supporting information are supplied in PDF format.</p> <p>Data <strong>generated </strong>by instruments: </p> <p>Varian Cary 5000 UV-Vis-NIR spectrophotometer for UV-Vis measurements,<br> Varian Cary Eclipse fluorescence spectrophotomer for fluorescence quenching measurements.</p> <p><strong>Analytical and procedural information: </strong>Stern-Volmer fluorescence quenching experiments and UV-Vis measurements.</p> <p><strong>Definition of variables: </strong>Wavelength, Absorbance, Concentration<br> <strong>Units of measurement: </strong>nanometers (nm), moles-per-litre (mol/l)</p> <p><strong>Abbreviations: </strong><br> File names and data headers use the following abbreviations:</p> <ul> <li><strong>SVQuench </strong>refers to Stern-Volmer quenching experiments</li> <li><strong>MesAcrMe xx </strong>refers to data related to the catalyst 9-mesityl-10-methylacridinium. <strong>Xx </strong>is the amount of catalyst in mol/l (10-4 should be intended as 0.1 mmol/l and so on).</li> <li><strong>EtAn xx </strong>refer to measurements related to 8-ethylanisol. <strong>Xx </strong>is the amount of quencher in mol/l as above.</li> <li><strong>BenzAc xx </strong>refer to measurements related to benzoic acid. <strong>Xx </strong>is the amount of quencher in mol/l as above.</li> <li><strong>Pyrz xx </strong>refer to measurements related to pyrazole. <strong>Xx </strong>is the amount of quencher in mol/l as above.</li> </ul>
Graph 6: Stagings of Heiner Müller's Plays in Germany (East and West).
<p>Graph 6 shows the number of stagings of Heiner Müller’s plays in East and West Germany from 1957-1990.</p>
Effects of life stage on the sensitivity of Folsomia candida to four pesticides
<p>This submission provides R-code and data files for our peer-reviewed work.</p><p>The R-notebook "Analysis_likelihood_ratio_test" contains the code used to estimate the parameters of concentration-response curves (EC10, EC50, LC10, LC50, and slopes) and perform likelihood ratio tests to compare curves from different tested life stages.</p><p>The R-notebook "Figures_Concentration_response_curves" showcases the code used to generate the figures presented in the manuscript.</p><p>The dataset files are provided in CSV format with Comma Separated Values:</p><ul><li>Cyproconazole_FolsomiaCandida_10days_20days_RawData_New.csv</li><li>Imidacloprid_FolsomiaCandida_10days_20days_RawData_New.csv</li><li>Teflubenzuron_FolsomiaCandida_10days_20days_RawData_New.csv</li><li>Thiacloprid_FolsomiaCandida_10days_20days_RawData_New.csv</li></ul><p>The submission includes the following:</p><ul><li>R files: R notebooks described above.</li><li>CSV files: Count data of springtail juveniles and adults.</li></ul><p> </p><p>This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 859891.</p><p>This publication reflects only the authors' view and the European Commission is not responsible for any use that may be made of the information it contains.</p>
In-situ Heating-Stage EBSD Validation of Algorithms for Prior-Austenite Grain Reconstruction in Steel
<p>High temperature EBSD and dilatometry data from the manuscript "In-situ Heating-Stage EBSD Validation of Algorithms for Prior-Austenite Grain Reconstruction in Steel". This includes Gifs of the martensitic and bainitic phase transformations, individual frames as Tiff files and as CTF files. It also includes thermocouple read outs from the in-situ crucible and the raw data from the dilatometry experiments.</p>
ScienceDex guides
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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.