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Fig. 3 in Longevity and Fecundity of Metamasius quadrilineatus Champion (Coleoptera: Dryophthoridae) on a Natural Bromeliad Host in the Laboratory
Fig. 3. Metamasius quadrilineatus egg hatch (viability) expressed as the mean percentage of larvae that hatched from a weekly batch of eggs from six cages initially containing five males and female weevils each. Vertical bars denote 1 standard error above the mean.
Fig. 4 in Fecundity And Offspring Survival Of Copris Tripartitus Waterhouse (Coleoptera, Scarabaeidae: Scarabaeinae) Under Laboratory Rearing Conditions
Fig. 4. Pronotal size of C. tripartitus new adults emerged from brood balls. 1) Without maternal care; 2) with care.
Fig. 3. Copris tripartitus new adult weight from brood balls. 1 in Fecundity And Offspring Survival Of Copris Tripartitus Waterhouse (Coleoptera, Scarabaeidae: Scarabaeinae) Under Laboratory Rearing Conditions
Fig. 3. Copris tripartitus new adult weight from brood balls. 1) cared for; 2) not cared by for by females.
Fig. 2 in Fecundity And Offspring Survival Of Copris Tripartitus Waterhouse (Coleoptera, Scarabaeidae: Scarabaeinae) Under Laboratory Rearing Conditions
Fig. 2. Total percentage of offspring survival from egg to adult stage in brood balls cared for by C. tripartitus females. L1, L2, L3, first, second and third instar larva. P, pupa. A, adult.
Dataset for the Report on 2.3. "Equipment prototypes validation in laboratory conditions"
<p>The system has been tested using signals that were generated using a mathematical model based on physical processes when applying wind lidar using Matlab software.</p><p>3 types of signals were considered:</p><p>1. Simulation of a set of backscattering events for a signal that does not attenuate (does not exist in reality)</p><p>2. Simulation of a set of backscattering events for a signal attenuating proportional to the square of the distance (does not exist in reality)</p><p>3. Simulation of a set of events to check the RMS of the system resolution period</p><p>To perform the tests, the system FPGA code was modified to allow playback of the test signals downloaded from the PC through the reserved Fire-out and Event out connectors (upper left connectors of the system).</p>
Low-Temperature Vacuum Evaporation of Ammonia from Pig Slurry at Laboratory and Pilot-Plant Scale (Data sets)
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Data on heat tolerance from: Field and laboratory studies reveal interacting effects of stream oxygenation and warming on aquatic ectotherms
<p>Heat tolerance data on two widespread Eurasian mayflies, <i>Ephemera danica</i>, Müller 1764 and <i>Serratella ignita</i> (Poda 1761).</p><p>Methods thermal tolerance experiments</p><p>Mayfly nymphs for laboratory experiments were collected in spring (early May) from Torrington River, Devon, UK, ranging in fresh weight between 15 and 128 mg (<i>E. danica</i>) and between 2.0 and 11.6 mg (<i>S. ignita</i>). Nymphs were maintained in the laboratory at 10 ± 1 °C in a 12 L:12 D regime in aquaria containing artificial pond water, buffered and diluted to reflect the pH and conductivity of the field site. Before recording critical temperatures, all species were acclimated for at least 7 days to laboratory conditions.</p><p>To assess critical thermal maxima (<i>CT</i>max), we employed previously described methods (Verberk & Bilton, <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.13240#gcb13240-bib-0051">2011</a>; Verberk & Calosi, <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.13240#gcb13240-bib-0054">2012</a>). Individual nymphs (<i>n</i> = 18 for <i>E. danica</i> and <i>n</i> = 27 for <i>S. ignita</i>) were placed in flow-through chambers and water was supplied to these chambers from a header tank after having passed through a tubular counter-current heat exchanger. Water in the header tank was of the same composition as that used to maintain animals and was bubbled with a mixture of 20% oxygen and 80% nitrogen, obtained using a gas-mixing pump (Wösthoff, Bochum, Germany). Individuals were left resting for 1 h at the equilibration temperature of 10 °C, after which temperature in the experimental chambers was increased by 0.25 °C min−1, using a Grant R5 water bath with a GP200 pump unit (Grant Instrument Ltd, Cambridge, UK), connected to the heat exchanger. Temperatures were logged using a HH806AU digital thermometer (Omega Engineering Inc., Stamford, CT, USA). Different sized flow-through chambers were used for each species. <i>E. danica</i> was placed in larger chambers (70 × 70 × 30 mm) and provided with sand as burrowing substrate, which they readily used. <i>S. ignita</i> was placed in smaller cylindrical chambers (6 mm in diameter, 20 mm long) and their behaviour was observed under a magnifying glass. The amount of water passing through these flow-through chambers was matched to their size. For the larger chambers containing <i>E. danica</i>, water was supplied to five chambers (total volume of 0.735 l) at a flow rates of 0.031–0.033 l per second, resulting in a refresh rate of 22–24 s. For the smaller chambers with <i>S. ignita</i>, water was supplied to each chamber individually at 0.21–0.22 ml per second, resulting in a refresh rate of 10–11 s.</p><p><i>CT</i>max is defined as the point at which an animal loses its ability to escape from conditions that will lead to its death (Lutterschmidt & Hutchison, <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.13240#gcb13240-bib-0027">1997</a>). During progressive warming, nymphs of <i>E. danica</i> first emerged from their burrowed position and began swimming (at about 6 °C below <i>CT</i>max). Loss of equilibrium occurred next as nymphs fell upon their backs, which was followed by the onset of spasms. After that, gill movement was no longer coordinated and faltered and this endpoint could be most reliably determined and is here taken as <i>CT</i>max. Similarly<i>, S. ignita</i> stopped ventilation and movement at <i>CT</i>max. Below <i>CT</i>max, larvae were inactive, until near the end of the trials, when they began to crawl, lose equilibrium and gill beating became intermittent shortly before stopping altogether at <i>CT</i>max.</p><p><i>CT</i>max was assessed at hypoxic (5 kPa), normoxic (20 kPa) and hyperoxic (60 kPa) conditions. Different levels of oxygenation were achieved by changing the oxygen–nitrogen gas mixture obtained using the gas-mixing pump (Wösthoff). The gas mixture was adjusted 10 min after placing the animals in the small flow-through chambers, to allow for gradual exposure to hypoxic and hyperoxic conditions during the 1 h resting period. To prevent equilibration with the atmosphere, the header tank was sealed using an 18 mm thick expanded polystyrene sheeting and other openings were closed off with plastic material. During the 1 h resting period, oxygen levels in the outflow water from the chambers were measured approximately every 15 min, to verify that the oxygen levels had stabilized to hypoxic, normoxic and hyperoxic conditions at the onset of warming. Because some equilibration with the atmosphere could not be prevented, nominal output values from the gas mixer were slightly more extreme (3 kPa for hypoxia and 65 kPa for hyperoxia) in order to achieve the desired oxygen conditions in the test chambers.</p>
Transient test on laboratory high-density polyethylene pipeline
<p>The file includes pressure signals acquired at three measurement sections during a transient test on a homogeneous high-density polyethylene pipeline installed at the Water Engineering Laboratory (WEL) of the University of Perugia. The sampling frequency was 2048 Hz.</p>
Experimental measurements of the effects of surface roughness on large-scale downburst-like impinging jets at the WindEEE Dome laboratory
<p>Thunderstorm downbursts originate as negatively buoyant currents of cold air descending from cumulonimbus clouds. Upon impacting the ground, a strong radial outflow develops with maximum wind velocities occurring at the near-ground level. These types of flows pose serious hazard to the natural and built environment. Their restricted time and spatial extent as well as their intermittent and non-Gaussian fluctuating nature make them extremely challenging to be recorded and analyzed through classic full-scale measurements in nature. Alongside synoptic-scale extra tropical cyclones, downbursts govern the wind climate at the mid-latitude areas around the globe. Recent trends in climate change studies suggest both an increased intensity as well as frequency of occurrence of these events. Therefore, their scientific comprehension urges serious consideration.</p> <p>In the context of the project THUNDERR “Detection, simulation, modelling and loading of thunderstorm outflows to design wind-safer and cost-efficient structures”, financed by the European Research Council (ERC) Advanced Grant 2016 (grant No. 741273, P.I. Prof. Giovanni Solari, University of Genoa), an extensive experimental campaign was recently conducted at the WindEEE Dome wind chamber. This campaign focused on measuring downburst-like flows (DLFs) generated by large-scale impinging jets. The dataset presented here encompasses a portion of the measurements collected during this comprehensive experimental initiative. Specifically, this series of tests aimed to unravel the role of surface roughness in potentially altering the configuration and dynamics of the overall radial outflow. The term "surface roughness" pertains to the ground patch under examination, encompassing both the natural features of the terrain and any obstacles, such as buildings, present on the ground. While surface roughness plays a decisive role in changing the shape and magnitudes of the wind speed vertical profiles for extra-tropical cyclones, the scientific literature has not yet thoroughly addressed its impact on downburst winds, which are different being dominated by intense vortex dynamics.</p> <p>Impinging jets, considered representative for the simulation of downburst like flow (DLF), are here simulated as transient phenomena through the opening and closing of the bell-mouth that connects the test chamber and the upper plenum of the dome, the latter being pressurized before releasing the jet. As a result, the velocity records exhibit a distinct pattern, featuring a sudden ramp-up of velocity, followed by a velocity peak, a statistically-stationary phase, and ultimately, a gradual velocity deceleration—mirroring the behavior observed in real-world scenarios.</p> <p>The database consists of six ASCII tab-delimited text files, denoted as ‘windspeedDB89z0eq007.txt’, ‘windspeedDB89z0eq020.txt’, ‘windspeedDB89z0eq320.txt’, ‘windspeedDB124z0eq007.txt’, ‘windspeedDB124z0eq020.txt’, and ‘windspeedDB124z0eq320.txt’, aligning with the two jet intensities and three rough surfaces employed in the experiments. These filenames correspond to: (i) centerline jet velocities at the nozzle outlet section, with values of <em>Wjet</em> = 8.9 and 12.4 m/s (indicated as “<em>Wjet</em>” in the database files); (ii) equivalent full-scale roughness lengths <em>z0eq</em> = 0.007, 0.020, 0.32 m (“<em>z0eq</em>” in the database files, see details below). Each file encompasses wind speed timeseries, detailed as follows:</p> <p>The three-component velocity measurements were recorded by means of 11 Cobra probes (sampling frequency 2,500 Hz) mounted on a stiff mast. The heights (<em>z</em>) of the probes were <em>z</em> = 0.040, 0.070, 0.100, 0.125, 0.150, 0.200, 0.300, 0.400, 0.500, 0.700, 1.000 m above the surface. Within the database files, the wind speed linked to various heights is labeled as “<em>v_zXXXXmm</em>”. In this notation, '<em>v</em>' designates the velocity component: longitudinal ‘<em>U</em>’ (along the horizontal axis of the probe), corresponding to the radial outflow of the downburst, with a positive value when the flow is directed toward the probe. Transversal, ‘<em>V</em>’, represents the velocity component transverse to the probe's centerline axis, having a positive value when the flow is directed right-to-left concerning an observer facing the probe's head. The vertical component is denoted as ‘<em>W</em>’ with a positive value indicating an upward direction. The term “XXXX” signifies the height of the probe, specified in millimeters (mm). The mast with the Cobra probes was subsequently positioned at ten radial <em>r</em> distances with respect to the jet impingement position in the range <em>r/D</em> (<em>D</em> = 3.2 m is the jet diameter) between 0.2–2.0 with an increment of 0.2. Note that the position <em>r/D</em> = 0.8 was adjusted to <em>r/D</em> = 0.75. This modification was necessary due to irregularities on the chamber floor at <em>r/D</em> = 0.8, which could have otherwise introduced bias into the measurements. The radial distance is identified with “<em>r/D_distance</em>” in the dataset files. The ceiling height of the testing chamber is <em>H</em> = 3.75 m, which leads to <em>H/D</em> > 1 allowing for a full vertical development of the downburst radial outflow. For every <em>r/D</em> position, each experiment with the same initial condition (i.e., <em>Wjet</em>) was repeated 10 times (“<em>repetition#</em>” in the database files) to inspect the repeatability of the tests and their variance. Each velocity record lasted 12 s (12 × 2,500 = 30,000 samples) and the duration of the downburst-like part of the record varied between 3–5 s. Overall, 6,600 total time series (2 <em>Wjet</em> × 3 rough surface × 10 repetitions × 10 <em>r/D</em> positions × 11 heights <em>z</em>) of downburst-like outflows were recorded during this set of experimental tests.</p> <p>The reported accuracy of Cobra probes from the manufacturer is +/- 0.5 m/s and +/- 1° for velocity and yaw/pitch angles respectively, up to approximately 30% of turbulence intensity. All velocity magnitudes below 1 m/s were removed and converted to NaN (Not a Number) in the database due to the poor accuracy of Cobra probes for velocities below this threshold. In addition, some velocity values were reported as null in the instrument readings due to the incoming flow being outside the probe's spatial cone of measurement (+/- 45° in respect to the probe horizontal axis). These values are flagged as NULL values in the database. This notation aligns with that utilized in a preceding database of measurements collected within the same experimental campaign at the WindEEE Dome (Canepa et al., 2021; <a href="https://doi.org/10.1594/PANGAEA.931205">https://doi.org/10.1594/PANGAEA.931205</a>).</p> <p>DLFs were tested on three different surfaces: (i) WindEEE Dome bare floor; (ii) Carpet; (iii) Artificial grass. A 1 m × 8 m rectangular section was selected from each of the three surfaces for testing purposes. Each surface was positioned with a 1 m offset relative to the geometric location of the jet impingement. It was identified by an equivalent full-scale roughness length, “<em>z0eq</em>”based on matching atmospheric boundary layer profiles measured in WindEEE in boundary layer mode with standard ESDU (Engineering Science Data Unit) profiles. A total of 15 different Atmospheric Boundary Layer (ABL)-like profiles were tested inside the chamber by varying the rotation-per-minute (rpm) of the fans across the 4 rows of the 60-fan wall—a peripheral wall of the hexagonal WindEEE Dome chamber comprising a matrix of 4 × 15 (rows × columns) fans that is used to produce ABL -like flows. A specific configuration of the 60-fan wall and a length scale of 1:200 were chosen based on correlation analysis between physically reproduced ABL profiles and curve fitting through Eq. A1.8 of the ESDU 82026. This scale is deemed suitable for both ABL and downburst winds produced at the laboratory. Through a linear fitting of the measured data on the <em>U – ln(z)</em> chart, employing the logarithmic law-of-the-wall (dependent on roughness length <em>z0</em> and friction velocity <em>u*</em>), the equivalent roughness lengths for the three surfaces were determined: <em>z0eq</em> = 0.007, 0.020, 0.320 m for the WindEEE Dome bare floor, carpet, and artificial grass, respectively.</p> <p>In summary, each experimental velocity time series consists of 30,000 rows, with 33 columns detailing the three velocity components (<em>U</em>, <em>V</em>, <em>W</em>) across the 11 Cobra probe heights. Columns 34 to 37 provide information on the repetition number, radial position of measurement, equivalent full-scale roughness length, and jet intensity. The subsequent timeseries within the dataset refer to the parameters in columns 34 to 37, each one spanning its entire range in the specified order.</p> <p>Researchers can leverage this database to validate and calibrate numerical and analytical models of thunderstorm winds, in addition to interpreting full-scale measurements of the phenomenon. It also serves as a valuable resource for the fluid dynamics community, particularly those interested in the physical comprehension of downscaled flows or the surface flow dynamics of large Reynolds number impinging jets.</p>
GPR Dataset of Moisture Measurements on Building Floors in Laboratory and On-Site
<h2>GPR Moisture Measurements on Building Floors in Laboratory and On-Site</h2> <p><strong>Related work</strong></p> <p>Laboratory Study: <br>Combining Signal Features of Ground-Penetrating Radar to Classify Moisture Damage in Layered Building Floors<br>https://doi.org/10.3390/app11198820</p> <p>On-Site Study:<br>Classification of Practical Floor Moisture Damage Using GPR - Limits and Opportunities <br>https://doi.org/10.1007/s10921-024-01111-7</p> <p>Doctoral Thesis:<br>Non-destructive classification of moisture deterioration in layered building floors using ground penetrating radar<br>https://doi.org/10.14279/depositonce-19306</p> <p><strong>Measurement Parameters</strong></p> <p>The GPR measurements were carried out with the SIR 20 from GSSI and a 2 GHz antenna pair (bandwidth 1 GHz to 3 GHz) in common-offset configuration. Each B-Scan consists of N A-Scans, each including 512 samples of a 11 ns time window. Survey lines were recorded with 250 A-Scans/ meter, which equals a 4 mm spacing between each A-Scan No Gains were applied. </p> <p><strong>Folder Description:</strong></p> <p><em>Lab_dry, Lab_insulDamage, Lab_screedDamage</em><br>- each contain 168 Measurements (B-Scans) in .csv on 84 dry floors, floors with insulation damage and screed damage.<br>- each floor setup was measured twice on two orthogonal survey lines, indicated by _Line1_ and _Line2_ in the file name.<br>- the file names encode the building floor setup e.g. CT50XP100 describes a 50 mm cement screed with 100 mm extruded polystyrene below<br>- the material codes are<br> CT: cement screed, CA: anhydrite screed, EP: expanded polystyrene, XP: extruded polystyrene, GW: glass wool, PS: perlites</p> <p>further information can be found in the publication https://doi.org/10.3390/app11198820<br><br><em>OnSite_</em><br>- 5 folders containing B-Scans on 5 different practical moisture damages<br>- the building floor setup is encoded according to the lab with an additional measurement point numbering at the start and a damage case annotation at the end of the file name with _dry, _insulationDamage and_screedDamage<br><br><strong>File Description:</strong></p> <p><em>B-Scans, Measurement files - no header</em><br>- dimension: 512 x N data point with N beeing the number of A-Scans including 512 samples of a 11 ns time window. <br>- survey lines were recorded with 250 A-Scans/ meter, which equals a 4 mm spacing between each A-Scan</p> <p><em>Moisture References</em><br>- Moist_Reference of On-Site Locations include the columns MeasPoint: Measurement point, wt%Screed: moisture content of screed layer in mass percent; wt%Insul: moisture content of insulation layer in mass percent. References were obtained by drilling cores with 68 mm diameter in the center of each survey line.<br>- Moist_Reference_Screed of Lab data include the columns Screed: Screed material and thickness in mm, wt%Screed moisture content of screed layer in mass percent<br>- Moist Reference_Insul of Lab data include the columns Insulation: Insulation material and thickness in mm, water addition in l: water added to the insulation layer in liters, V%Insulation: water added to the insulation layer in volume percent, RH%: resulting relative humidy in the insulation layer during measurement. These References are only avaible for Lab measurements on insulation damages.</p> <p> </p> <p> </p>
Scans of Hilde Mangold's 1921-1922 laboratory book
<p>This is a scan of the 2021-1922 laboratory book of Hilde Mangold, then PhD student with Hans Spemann. Her research led to the identification of the "Spemann-Mangold organizer" as published in 1924 and eventually -- after Hilde Mangold's untimely death in 1924 -- to the Nobel Prize in physiology and medicine awarded to Hans Spemann in 1935. This notebook along with the specimens she examined are held at the Museum für Naturkunde Berlin. It was scanned as part of a publication by Driever et al. (2024; <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.cdev.2024.203909" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.cdev.2024.203909</span></a>) commemorating the centennial of this publication. </p>
Coccolithus braarudii life cycle phases laboratory data (EGUSPHERE-2023-880 supplement)
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Laboratory and Clinical Measurements - Influence of anode/filtration setup on X-ray multimeter energy response in mammography applications
<p>The data contains measurement results for selected types of X-ray multimeters in mammography applications. In the Laboratory conditions absolute and relative response were determined for available software settings of the tested multimeters. In the clinical mammography units the multimeters' response was evaluated in different anode/filtration setups.</p>
Cycle data of different laboratory flow batteries based on AQDS BQDS, MV TEMPOL and vanadium flow battery
<p>Cycle data of different organic and inorganic laboratory scale redox flow batteries with an active area of 40 cm², made during the EU-Project SONAR in the years 2020 - 2023.</p>
Data and software for article: "Lava delta formation: Mathematical modelling and laboratory experiments"
<p>Experimental and numerical data and scripts required to reproduce the results of Taylor-West, Balmforth, & Hogg 2024 "Lava delta formation: Mathematical modelling and laboratory experiments". Accepted to JGR: Earth Surfaces. doi:10.1029/2023JF007505</p>
Soil laboratory spectra of agricultural sites in the Czech Republic
<div> <p><span><span>The dataset includes VNIR-SWIR spectra of <span>dried, ground, and sieved (< 2 mm) soil samples </span>collected from three agricultural sites in the Czech Republic. The spectra were recorded in the laboratory using an ASD <span>FieldSpec</span> 3 instrument and under the standard protocol.<span> </span>The samples were gathered from Klučov, Nová Ves nad Popelkou, and Udrnice sites (80 samples from each site) in June 2021. The dataset also contains sample coordinates and some parameters including SOC and texture, prepared and stored in MS Excel (.xlsx) format. The data were used in STEROPES WP1 (basic local models development).</span></span></p> </div>
Recent genetic drift in the co-diversified gut bacterial symbionts of laboratory mice
<p>Daniel D. Sprockett (1), Brian A. Dillard (1), Abigail A. Landers (2), Jon G. Sanders (1), Andrew H. Moeller (1,2)*</p> <p>1 Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA<br>2 Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08540, USA<br>*To whom correspondence should be addressed: andrew.moeller@princeton.edu</p> <p> </p> <p><strong>Abstract:</strong></p> <p>Laboratory mice (<em>Mus musculus domesticus</em>) harbor gut bacterial strains that are distinct from those of wild mice but whose evolutionary histories are unclear. Understanding the divergence of laboratory-mouse gut microbiota (LGM) from wild-mouse gut microbiota (WGM) is critical, because LGM and WGM have been previously shown to differentially affect mouse immune-cell proliferation, infection resistance, cancer progression, and ability to model drug outcomes for humans. Here, we show that laboratory mice have retained gut bacterial symbiont lineages that diversified in parallel (co-diversified) with rodent species for > 25 million years, but that LGM strains of these ancestral symbionts have experienced accelerated accumulation of genetic load during the past ~ 120 years of captivity. Compared to closely related WGM strains, co-diversified LGM strains displayed significantly faster genome-wide rates of fixation of nonsynonymous mutations, indicating elevated genetic drift, a difference that was absent in non-co-diversified symbiont clades. Competition experiments in germ-free mice further indicated that LGM strains within co-diversified clades displayed significantly reduced fitness in vivo compared to WGM relatives to an extent not observed within non-co-diversified clades. Thus, stochastic processes (e.g., bottlenecks), not natural selection in the laboratory, have been the predominant evolutionary forces underlying divergence of co-diversified symbiont strains between laboratory and wild house mice. Our results show that gut bacterial lineages conserved in diverse rodent species have acquired novel mutational burdens in laboratory mice, providing an evolutionary rationale for restoring laboratory mice with wild gut bacterial strain diversity.</p>
Dataset on laboratory soil greenhouse gas fluxes and soil microbial parameters as affected by soil management strategies in SOMMIT long term experiments
<p>We present a database containing over 50 soil-microbial parameters from eight long-term European experiments where specific soil management strategies are compared. Intact topsoil cores (7 cm diameter, 7 cm height) were collected from LTE participating in the tasks WP3.2 and WP3.3. from the SOMMIT experiment, and incubated under standard conditions in the laboratory. The soil management strategies considered at the eight LTEs ("ACBB Estrées-Mons, France", "Rutzendorf_17, Austria", , "Foggia, Italy", "ULBF-Ljubljana, Slovenia", "Toholampi, Finland", "Senés, Spain", "La Poveda, Spain" and "Grabow 1, Poland") included crop residue management, addition of different types of compost and sludge and biochar addition. All LTEs are referenced according to the LTE Index from https://doi.org/10.5281/zenodo.7598122 . The soil cores were subjected to i) a pre-equilibration phase of five days ("pre.inc"), followed by ii) a drying phase ("DR") of ten days and finally a iii) rewetting (five days, "RW"). A subset of the cores were kept under iv) constantly moist conditions for comparison purposes ("moist"). By the end of the "pre.inc" phase, soil microbial biomass, soil microbial community (phospholipidic fatty acids), enzymatic activities and soil nutrient data were collected. After the "pre.inc" phase, soil fluxes of N2O and CO2 were monitored with an automated system at subdaily temporal resolution. In addition, soil nutrients and microbial biomass data were estimated during at the end of the "DR", "RW" and "moist" phases. This dataset contributes to a better understanding of the linkages between soil conditions, soil microbes and soil greenhouse gas fluxes as affected by different soil management strategies across European agro-ecosystems. This product is part of the EJP SOIL internal project SOMMIT, and serves as deliverable WP3.4</p>
Basic laboratory and extended hematological parameters and intensive care unit mortality in sepsis patients
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Association between exposure to ecotoxicants and clinical and laboratory indices at clinical and preclinical stages of rheumatoid arthritis
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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.