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8,565 results for “characterization”

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zenodo40/100

Site characterization, regeneration attributes, and juvenile conifer growth characteristics for 25 forest and woodland sites in the southwestern United States

<p>This dataset contains biotic and abiotic site characterization data, juvenile conifer regeneration and growth data, and detailed juvenile growth characteristic data for destructively sampled juvenile conifers. Data are included for 25 forest and woodland sites in the southwestern United States, and were collected in summer 2019. A detailed sampling and analysis methodology is available from the following publication (in press as of 10-2021):</p> <p>Pirtel NL, Bradford JB, Hubbard RM, Abella SR, Kolb TE, Litvak ME, Porter SL and Petrie MD. 2021. The aboveground and belowground growth characteristics of juvenile conifers in the southwestern United States, Ecosphere: in press.</p> <p>Please contact the corresponding author (MD Petrie) with any questions or requests.</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Data in support of the publication "First Detection and Thermal Characterization of Terminator CO2 Ice Clouds with ExoMars/NOMAD" on Geophysical Research Letters

<p>This archive contains the data underlying the 3 Figures in the main manuscript, including the vertical profiles of retrieved aerosols, vertical profiles of CO2 saturation ratio and spatial distribution of the retrieved clouds.</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy wire

<p>Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy (SMA) wire supplied by Memry (USA).</p> <p>Diameter : 0.50mm</p> <p>Data given by the supplier : Nitinol wire, Hard black oxide, thermally straightened, As = 53&deg;C</p> <p>Differential Scanning Calorimetry (DSC) test (as received) : a virgin sample of NiTi wire (7.9mg) is submitted to an initial heating up to 250&deg;C, followed by 2 cooling-heating cycles (250&deg;C/-90&deg;C/+250&deg;C). Test speed : 10&deg;C per minute. The DSC apparatus is a DSC 250 (TA Instruments) with nitrogen gas flow. The test files for the software Trios are supplied as well as the .csv data.</p> <p>Differential Scanning Calorimetry (DSC) test (50 cycles) : the NiTi wire maintained in a water bath at a temperature of 70&deg;C is submitted to 50 mechanical cycles of loading up to 90N and unloading down to 0.5N (superelastic cycles). A sample of this wire (8.1mg) is submitted to a DSC with an initial heating up to 250&deg;C, followed by 2 cooling-heating cycles (250&deg;C/-90&deg;C/+250&deg;C). Test speed : 10&deg;C per minute.</p> <p>Isothermal traction at 25 degrees : a specific testing apparatus (illustration in the file Apparatus.jpg) has been set up. The SMA wire is tested in a box containing water, a water pumping/heating/cooling apparatus enables to control the water temperature in order to precisely control the SMA wire temperature. One side of the box is made of transparent PMMA in order to monitor the wire strains by Digital Image Correlation (DIC). The tested part of the wire finds itself in water, and its upper end is clamped in the cylinder jaws of a displacement controlled ADAMEL DY31 testing machine. The water temperature is monitored by two type K thermocouples at two different locations inside the water volume. The load in the wire is registered using a 100N load cell and the deformations of the wire were measured by DIC on images acquired by a Pike F421B camera (Allied Vision Technologies). A Matlab routine has been set up to acquire simultaneously the deformation images with the load values. A virgin wire of the same spool has been submitted to axial traction in 25&deg;C water with a speed of 10^-4 s^-1. The first traction test presents a strain localization along the wire. We were not interested in this phenomenon and only present here the 2nd, 3rd and 4th test which show a homogeneous strain along the observed zone of the wire. The strain has been measured with the software GOM Correlate, by computing the mean value of the axial strain on a rectangular zone of several centimeters on the wire. The GOM Correlate files are supplied, as well as the .csv values. Between each test, the wire has been extracted from the testing chamber, placed in a furnace at 100&deg;C during several minutes and then placed in a deep freezer at -20&deg;C during several minutes in order to always test a martensitic wire.</p> <p>Thermal cycling at 25&deg;C : With the same apparatus, a load of 25N has been applied on the wire at 85&deg;C and then maintained constant with the help of a PID controller in the TestWorks software. The wire being maintained at this constant load, the water has been cooled down to 15&deg;C and heated up to 85&deg;C. The strain field could not be measured accurately, and for this reason the strain named Axial Strain 1, Axial Strain 2 and Axial Strain 3 are computed with virtual gauges in GOM Correlate (only between two points). The strain may be heterogeneous along the wire.</p>

opencc-by-4.0Dec 2018View details →
dryad40/100

Surface measurement data of polished LTCC: Characterization of pores in polished low temperature co-fired glass-ceramic composites for optimization of their micromachining

<p>Pores are intrinsic defects of ceramic composites and influence their functional properties significantly. Their characterization is therefore a pivotal task in material and process optimization. It is demonstrated that polished section analysis allows for obtaining precise information on pore size, shape, area fraction, and homogeneous distribution. It is proven that laser scanning microscopy provides accurate height maps and is thus an appropriate technique for assessing surface features. Such data is used to compare areas with good and poor polishing results, and various surface parameters are evaluated in terms of their informative value and data processing effort. The material under investigation is a low-temperature co-fired ceramic composite. Through statistical analysis of the data, the inclination angle was identified as an appropriate parameter to describe the polishing result. By using masked data, direct conclusions can be drawn about the leveling of load-bearing surface areas, which are crucial in photolithographic processing steps and bonding technology. A broad discussion of different defects based on the results contributes to a critical analysis of the potentials and obstacles of micromachining of low-temperature cofired ceramic substrates.</p>

opencc-zeroNov 2022View details →
zenodo40/100

Characterizing the automatic radon flux Transfer Standard system Autoflux: laboratory calibration and field experiments

<p>Data from the manuscript: Characterizing the automatic radon flux Transfer Standard system Autoflux: laboratory calibration and field experiments.</p> <p>The present folder contains:</p> <ol> <li>Exhalation Bed data (data and plots from the characterization of the exhalation bed of the Cantabria University)</li> <li>ANSTO Autoflux (data and plots of the calibration of the Autoflux radon flux system)</li> <li>INTE_UPC (data and plots of the calibration of the INTE_UPC radon flux system)</li> </ol>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Metabotyping of Andean pseudocereals and characterization of emerging mycotoxins

<p>Pseudocereals are best known for three crops derived from the Andes: quinoa (<em>Chenopodium quinoa</em>, Chenopods I), canihua (<em>C. pallidicaule</em>, Chenopods I), and kiwicha (<em>Amaranthus caudatus</em>). Their grains are recognized for their nutritional benefits; however, there is a higher level of polyphenism and the chemical foundation that would rely with such polyphenism has not been thoroughly investigated. Meanwhile, the chemical food safety of pseudocereals remains poorly documented. Here we applied untargeted and targeted metabolomics approach by LC-MS to achieve both: <strong>i</strong>) a comprehensive chemical mapping of pseudocereal samples collected in the Andes to classify them according to their chemotype; <strong>ii</strong>) a quantification of their contents in emerging mycotoxins. An inventory of the fungal community was also realized with the aims to better know the filamentous fungi present in these grains and try to parallel this information with the presence of the molecules produced, especially mycotoxins. Metabotyping permitted to add new insights into the chemotaxonomy of pseudocereals, confirming the previously established phylotranscriptomic clades: Chenopods I (clusters quinoa and canihua), and Amaranthaceae s.s. (cluster kiwicha). Moreover, we report for the first time the presence of mycotoxins in pseudocereals. Sixteen samples of Peru (out of 27) and one sample from France (out of one) were contaminated with Beauvericin, an emerging mycotoxin. There were several mycotoxigenic fungi detected, including <em>Aspergillus sp.</em>, <em>Penicillium sp.</em>, and <em>Alternaria sp.</em>, but not <em>Fusaria</em>.</p>

opencc-by-4.0Jun 2022View details →
zenodo40/100

A characterization of cardiac-induced noise in R2* maps of the brain

<p>A subset of data used in the original publication for computations of the results. These data contain 5D k-space data (kx/ky/kz/cardiac phase/TE) from one of the participants and can be used to perform the cardiac-induced noise characterization and retrieve the results from the paper.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

MESA histories for "Characterizing Observed Extra Mixing Trends in Red Giants using the Reduced Density Ratio from Thermohaline Models"

<p>This repository provides MESA history files for each of the stellar models in the publication &quot;Characterizing Observed Extra Mixing Trends in Red Giants using the Reduced Density Ratio&nbsp;from Thermohaline Models&quot;. The MESA version used was stable release version 21.12.21. Runs are organized into tarballs according to the thermohaline mixing prescription used:</p> <ul> <li>BGS13 = Brown, Garaud, Stellmach 2013</li> <li>Kipp1e-1 = Kippenhahn with alpha_th = 0.1</li> <li>Kipp2 = Kippenhahn with alpha_th = 2</li> <li>Kipp7e2 = Kippenhahn with alpha_th = 700</li> </ul> <p>and are additionally grouped according to the stellar mass (M = 0.9, 1.1, 1.3, 1.5, 1.7 in units of Msol). Within each tarball is a number of run directories which contain a LOGS/history.data file from the MESA run. The subdirectories in the tarball contain runs at various metallicities; conversion between Z (MESA input) and [Fe/H] (paper reported value) are found in Table 2 of the manuscript.<br> <br> Inlists and information for recreating these MESA simulations can be found online at the paper&#39;s github repository:&nbsp;<a href="https://github.com/afraser3/Empirical-Magnetic-Thermohaline">https://github.com/afraser3/Empirical-Magnetic-Thermohaline</a>&nbsp;(a copy of the code from this Github&nbsp;repository&nbsp;is located in this Zenodo repository in:&nbsp;Empirical-Magnetic-Thermohaline-main.zip)</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Watching with Argus Eyes: Characterization of emotional and physiological responding in adults exposed to childhood maltreatment and/or recent adversity

<p><em>Background:</em><br> Exposure to adverse experiences is a well-established major risk factor for affective psychopathology. The vulnerability of deleterious sequelae is assumed in maladaptive processes of the defensive system, particularly in emotional processing. More specifically, childhood maltreatment has been suggested to be associated with the recruitment of specific and distinct defensive response profiles. To date it remains unclear whether these are specific or generalisable to recent adversity in adulthood.</p> <p><br> <em>Method:</em><br> This preregistered study aimed to investigate the impact of exposure to childhood and recent adversity on emotional processing in 685 healthy adults with the &ldquo;Affective Startle Modulation&rdquo; Paradigm (ASM).</p> <p><br> <em>Results:</em><br> First, we replicated higher trait anxiety and depression levels in individuals exposed to both types of adversity. Second, we observed blunted general skin conductance reactivity in individuals exposed to recent adversity. Third, individuals <em>exposed to childhood maltreatment</em> showed reduced, while individuals <em>exposed to recent adversity</em> showed increased discrimination between pictures of negative and neutral valence, compared to non-exposed individuals in SCR. No association between exposure to adversity and fear potentiated startle was observed. Furthermore, explorative analyses revealed moderate dimensional and categorical agreement between two childhood maltreatment questionnaires and provide insight into potential adversity-type specific effects.</p> <p><br> <em>Conclusion:</em><br> Our results support experience-dependent plasticity in sympathetic nervous system reactivity and suggest distinct response profiles in affective modulation in individuals exposed to early versus recent adversity. We emphasise the need to further explore distinct adversity profiles to further our understanding on specific psychophysiological profiles and their potential implication for prevention and intervention.</p>

opencc-by-4.0Apr 2022View details →
zenodo40/100

Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population

<p>The accompanying data and code release for the analyses presented in &quot;Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population&quot;. See the github paper repository at https://github.com/bruce-edelman/CoveryingYourBasis and the arxiv release of the paper at: https://arxiv.org/abs/2210.12834</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Figure 12. The same mouth-opening characterizes all vertebrates except for adult lampreys. A, a in REVIEW Vertebrate origins are informed by larval lampreys (ammocoetes): a response to Miyashita et al., 2021

Figure 12. The same mouth-opening characterizes all vertebrates except for adult lampreys. A, a tunicate, is included as representing the closest relative of vertebrates, with the same mouth structures. Adult lampreys (C) do not have the typical, primary opening, but a secondary one in the oral funnel formed by their protrusive upper lips. The ammocoete lamprey (B) does not have a secondary mouth-opening, so the dashed blue line in (B) just shows the boundary corresponding to the adult lamprey's. Anaspids (E) are reconstructed with a primary mouth, despite the superficial similarity of their snout to that of adult lamprey; the anaspid snout does not project far enough forward (only three eye-diameters forward as opposed to five for the lamprey in Fig. 11J). Hagfish (D) also differ from adult lampreys in having the primary mouth-opening. In osteostracans (G) and galeaspids (H), the lips have not grown forward to form a secondary mouth, but have simply lain on the ground. I call their mouth openings 'pseudo-secondary.' Most of the pictures are retooled from Figures 10 and 11, but three are new: (A) is redrawn from Mallatt (2009), (E1) from Janvier (1996) and (E2) from Sansom et al. (2010).

opencc-by-4.0Jan 2023View details →
zenodo40/100

XMM-Newton imaging simulations for STATiX characterization

<p>Here we distribute 1000 imaging simulations of XMM-Newton observations containing transient X-ray sources, used for the characterization of the STATiX source detection pipeline (Ruiz et al., in preparation). SIXTE (SImulation of X-ray TElescopes; Dauser et al. 2019) is used to simulate X-ray imaging observations of the EPIC-PN camera onboard XMM-Newton. Each simulation consists of an event list file and an attitude file. These simulations were produced using the Python code available at https://github.com/ruizca/sixtexmm.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Functional and molecular characterization of suicidality factors using phenotypic and genome-wide data

<p>GWAS summary statistics for&nbsp;Functional and molecular characterization of suicidality factors using phenotypic and genome-wide data published in Molecular Psychiatry by Quintero Reis A, Newton BA, Kessler R, Polimanti R, and Wendt FR.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

dataset relate to article: "Functional Characterization of Two Variants at the Intron 6-Exon 7 Boundary of the KCNQ2 Potassium Channel Gene Causing Distinct Epileptic Phenotypes"

<p><strong>Sequencing Analysis performed at Fondazione Besta and carried out as part of the study mentioned at title</strong></p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Identification and characterization of learning weakness from drawing analysis at the pre-literacy stage - DATASET

<p>This is the dataset associated with the paper</p> <p>Dui, L. G., Lomurno, E., Lunardini, F., Termine, C., Campi, A., Matteucci, M., &amp; Ferrante, S. (2022). Identification and characterization of learning weakness from drawing analysis at the pre-literacy stage.&nbsp;<em>Scientific Reports</em>,&nbsp;<em>12</em>(1), 21624.</p> <p>File content:</p> <ul> <li>characterizationSciRep22.xlsx: an Excel file <ul> <li>rows: subjects</li> <li>columns: <ul> <li>year of birth</li> <li>month of birth</li> <li>dominant hand (0=right, 1=left)</li> <li>sex (0=male, 1=female)</li> <li>mother tongue (0=non-Italian, 1=Italian)</li> </ul> </li> </ul> </li> <li>featureSciRep22: a Matlab file. For each sub-matrix, rows are subjects <ul> <li>&quot;dataset&quot; sub-matrix: each column is a feature computed from drawings</li> <li>&quot;names_type&quot; sub-matrix: metadata for the &quot;dataset&quot; matrix <ul> <li>column 1: feature name</li> <li>column 2: game the feature refers to</li> <li>column 3: feature type</li> </ul> </li> <li>&quot;risk_questions&quot;: each column corresponds to the answer to one of the 15 items for assessing graphical abilities. 0=not selected, 1=selected</li> <li>&quot;risk&quot;: the risk label computed from &quot;risk_questions&quot;, 0=not at risk, 1= at risk</li> </ul> </li> </ul>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Dataset for the manuscript: Trap-and-Track for Characterizing Surfactants at Interfaces

<p>This repository includes datasets supporting our manuscript that will be submitted to Molecules &ndash; Special issue &quot;Surfactants with Specific Molecular Architecture as Building Blocks for Nanocarriers.&quot;</p> <ul> <li><strong>&#39;rawdata.zip&#39;</strong>: Recordings of trapped particle motions, estimated trajectories, and calculated mean squared displacements (MSD). Each recording has a identification number (e.g., 1, 2, 3, etc.); the corresponding trajectories and MSDs have file names &#39;(ID#)_traj.csv&#39; and &#39;(ID#)_msd.csv&#39;, respectively.&nbsp;</li> <li><strong>&#39;results_summary+figures.opju&#39;</strong>: This is a Origin file summarizing the raw data and containing data figures in the manuscript.</li> </ul> <p>Typical particle recording has about 30 s duration. The MSDs are calculated for &tau; up to 30 seconds. For data analysis, MSDs up to &tau; = 10 s were used in order to avoid errors occurring at marginal &tau;.</p> <p>The data with&nbsp;cetyltrimethylammonium chloride (<em>CTAC</em>) can be found in a separate repository:&nbsp;</p> <p>Kim, Jeonghyeon, &amp; Martin, Olivier J. F. (2021). Dataset for the Manuscript: Surfactants Control Optical Trapping Near a Glass Wall [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5557074</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

A novel R744 multi-temperature cycle for refrigerated transport applications with low-temperature ejector: experimental ejector characterization and thermodynamic cycle assessment - Ejector experimental data

<p>Experimental data obtained during the characterization of a R744 ejector in low-temperature suction operating conditions.</p> <p>The complete description of the experimental setup and of the R744 cooling unit concept designed to employ the tested ejector, as well as the discussion on the experimental data, are available in:</p> <p>Fabris, F.,&nbsp;&nbsp;Pardi&ntilde;as,&nbsp;&Aacute;.&nbsp;&Aacute;., Marinetti, S., Rossetti, A., Hafner, A., Minetto, S. (2023).&nbsp;A novel R744 multi-temperature cycle for refrigerated transport applications with low-temperature ejector: experimental ejector characterization and thermodynamic cycle assessment. International Journal of Refrigeration.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Figures of merit that characterize silicon gate-all-around nanowire FETs affected by line edge roughness variability

<p>Off-current, threshold voltage, sub-threshold slope and on-current values for two silicon gate-all-around nanowire FETs affected by line edge roughness (LER) variability, a 22 nm gate length device and a 10 nm gate length one. The LER profile that characterizes the roughness deformation is also included in the dataset. Different correlation length (CL) and root mean square (RMS) heights values are characterized.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Silica in Silico: a Molecular Dynamics Characterization of the Early Stages of Protein Embedding for Atom Probe Tomography

<p>The .zip archive contains the trajectories of all the simulations performed and analysed within the manuscript. The water molecules were removed&nbsp;for control systems.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Kinetic in support of "Pre-Steady-State Kinetic Characterization of an Antibiotic-Resistant Mutant of Staphylococcus aureus DNA Polymerase PolC"

<p>These are KinTek Explorer mechanism files containing the data and analysis described in the manuscript&nbsp;&quot;Pre-Steady-State Kinetic Characterization of an Antibiotic-Resistant Mutant of Staphylococcus aureus DNA Polymerase PolC&quot; (bioRxiv&nbsp;2022.10.04.510889;&nbsp;doi:&nbsp;https://doi.org/10.1101/2022.10.04.510889).&nbsp;</p>

opencc-by-4.0Mar 2023View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record