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283 results for “low temperature”

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zenodo52/100

Specific Heat of Holmium in Gold and Silver at Low Temperatures - Data

<p>Data from measurements on the specific heat of a variety of Au:Ho and Ag:Ho alloys. This data is associated with the manuscript:</p> <p>Herbst, M., Reifenberger, A., Velte, C. <em>et al.</em> Specific Heat of Holmium in Gold and Silver at Low Temperatures. <em>J Low Temp Phys</em> <strong>202, </strong>106&ndash;120 (2021). https://doi.org/10.1007/s10909-020-02531-1</p> <p>For information on the motivation, measurement techniques, equipment, and data processing, please refer to this manuscript.</p>

opencc-by-4.0Dec 2019View details →
edi52/100

Metabolism dataset: one year of high-frequency temperature, dissolved oxygen, wind, photosynthetically active radiation observations and low-frequency nutrient data for 58 lakes in the Global Lake Ecological Observatory Network

Understanding controls on primary productivity is essential for describing ecosystems and their responses to environmental change. Lake primary production is strongly controlled by inputs of nutrients and colored dissolved organic matter. While past studies have developed mathematical models of this nutrient-color paradigm, broad empirical tests of these models are scarce. We compiled data from 58 diverse and globally distributed and mostly temperate lakes to test such a model and improve understanding and prediction of the controls on lake primary production. These lakes varied widely in size (0.02-2300 km2), pelagic gross primary production (20-8000 mg C m-2 d-1), and other characteristics. The data package includes high-frequency dissolved oxygen, water temperature, wind speed, and solar radiation data as well as daily estimates of GPP and ER derived from those data. In addition, the data package includes median in-lake and stream concentrations of dissolved organic carbon and total phosphorus for a subset of 18 of those lakes.

openCC (other)Dec 2024View details →
zenodo48/100

MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2000 at 1-km

<p>Layers include: Land Surface Temperature daytime low (0.05), median (0.50) and high (0.95) temperatures for the year 2000. Derived using the <a href="https://gitlab.com/openlandmap/global-layers/-/tree/master/input_layers/MOD11A2">data.table package and quantile function in R</a>. For more info about the MODIS LST product see:&nbsp;<a href="https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod11a2_v006">https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod11a2_v006</a>. Antarctica is not included.</p> <p>To access and visualize maps use:&nbsp;&nbsp;<a href="http://www.openlandmap.org/">OpenLandMap.org</a></p> <p>To download and compute with maps using Cloud-Optimized-GeoTIFF see <a href="https://gitlab.com/openlandmap/global-layers/-/blob/master/tutorial/OpenLandMap_COG_tutorial.md"><strong>this tutorial</strong></a>.</p> <p>If you discover a bug, artifact or inconsistency in the OpenLandMap maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code:&nbsp;<a href="https://gitlab.com/openlandmap/global-layers/-/issues">https://gitlab.com/openlandmap/global-layers/-/issues</a>&nbsp;</li> <li>General questions and comments:&nbsp;<a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using &quot;COMPRESS=DEFLATE&quot; creation&nbsp;option in GDAL. File naming convention:</p> <ul> <li>clm = theme: climate,</li> <li>lst = variable: land surface temperature,</li> <li>mod11a2.daytime = determination method: MOD11A2 product, day time values,</li> <li>d = median value / sd = standard deviation / u.95 = aggregation/statistics&nbsp;method: 95% probability&nbsp;upper quantile,</li> <li>1km = spatial resolution / block support: 1 km,</li> <li>s0..0cm = vertical reference: land surface,</li> <li>2000..2020 = time reference: from 2000 to 2020,</li> <li>v1.1 = version number: 1.1,</li> </ul>

opencc-by-4.0Jan 2021View details →
zenodo48/100

Pitfalls in Sample Preparation of Metalloproteins for Low-Temperature EPR: The Example of Alkaline Myoglobin

<p><strong>Description of the dataset: </strong></p> <ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements (EPR and UV-vis), computer simulations and data analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DTA</strong>, <strong>m</strong>, <strong>mat</strong>, <strong>ods</strong>,<strong> tif</strong></li> <li>Information on <strong>origin of the data</strong>: <ul> <li>EPR spectroscopic measurements have filename extensions <strong>DSC</strong> and <strong>DTA</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension <strong>m</strong></li> <li>UV-vis spectroscopic measurements have filename extensions <strong>ods</strong></li> <li>Processed data ready for simulation/figure preparation have filename extension <strong>mat </strong>(both for EPR and UV-vis)</li> <li>High-quality figures published in main text and supplementary are provided as <strong>tif</strong> files</li> </ul> </li> <li>CW-EPR measurements were generated with a Bruker ELEXSYS E580 X-band spectrometer equipped either with an Oxford CF935 continuous flow cryostat and a Bruker ER4118 SPT-N1 resonator or with an Oxford ESR 900 continuous-flow cryostat and a Bruker ER 4122 SHQ resonator.</li> <li>Pulse EPR experiments were performed with an Oxford CF935 continuous flow cryostat and a Bruker ER4118 SPT-N1 resonator.</li> <li>Simulations of EPR spectra and fitting were performed with the Easyspin software (v. 6.0.0-dev.26) implemented in Matlab (MathWorks, R2020b)</li> <li><strong>The dataset</strong>Files with extension <strong>m</strong> normally recall files with extension <strong>mat</strong> which should be stored in the same working folder <ul> <li>Files in <strong>PARACAT_WP3_20210929_01_CW</strong> folder include subfolders organised by topic: <ul> <li>&ldquo;Alternative cryoprotectants&rdquo; contains: ready-to-plot / ready-to-simulate data in <strong>mat</strong> format; simulation scripts in <strong>m</strong> format.</li> <li>&ldquo;Glycerol effects - different buffers&rdquo; contains: ready-to-plot / ready-to-simulate data in <strong>mat</strong> format; simulation scripts in <strong>m</strong> format.</li> </ul> </li> <li>Files in <strong>PARACAT_WP3_20210929_02_PULSE</strong> folder include pulse EPR spectroscopic measurements; original data are in <strong>DSC</strong> and <strong>DTA</strong> formats; processed data and fitting are in <strong>m</strong> format. Files in <strong>m</strong> format recall original data files, therefore they should be stored in the same working folder.</li> <li>Files in <strong>PARACAT_WP3_20210929_03_UV-VIS</strong> folder include UV-vis spectroscopic measurements; original and basic processed data are in <strong>ods</strong> format; ready-to-plot data are in <strong>mat</strong> format; scripts for figure preparation are in <strong>m</strong> format.</li> <li>Files in <strong>PARACAT_WP3_20210929_04_FIGURES</strong> folder include high-quality figures published in main text and supplementary, provided as <strong>tif</strong> files</li> </ul> </li> </ul> <p>&nbsp;</p> <ul> <li><strong>Information on</strong>: <ul> <li><strong>Specialized abbreviations:</strong> <strong>EPR</strong> &ndash; Electron Paramagnetic Resonance, <strong>CW</strong> &ndash; Continuous Wave EPR, <strong><em>T<sub>m</sub></em></strong> or <strong><em>T<sub>2</sub></em></strong>&ndash; phase memory time, <strong>CAPS</strong> - N-cyclohexyl-3-aminopropanesulfonic acid, <strong>CHES</strong> - N-Cyclohexyl-2-aminoethanesulfonic acid</li> <li><strong>Definitions of variables:</strong> magnetic field (<strong>mT</strong> - milliTesla), pH (pH units), UV-vis absorbance intensity (<strong>A.U.</strong> &ndash; arbitrary units), EPR intensity (<strong>A.U.</strong> &ndash; arbitrary units), Hahn Echo Intensity (<strong>A.U.</strong> &ndash; arbitrary units), <em>g</em>-values (adimensional)</li> <li><strong>Units of measurements:</strong> <ul> <li>Concentration: <strong>mM</strong> (millimolar), <strong>&micro;M</strong> (micromolar), <strong>% v/v</strong> (percentage volume/volume)</li> <li>Volume: <strong>mL</strong> (milliliters), <strong>&micro;L</strong> (microliters)</li> <li>Wavelength: <strong>nm</strong> (nanometers)</li> <li>Temperature: <strong>&deg;C</strong> (Celsius degrees), <strong>K</strong> (Kelvin degrees)</li> <li>Time: <strong>ns</strong> (nanoseconds)</li> <li>Frequency: <strong>GHz</strong> (gigahertz)</li> <li>Power: <strong>mW</strong> (milliwatt)</li> </ul> </li> </ul> </li> </ul>

opencc-by-4.0Oct 2021View details →
zenodo48/100

Dataset for "Low-temperature processing of screen-printed piezoelectric KNbO3 with integration onto biodegradable paper substrates"

<p>This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled &ldquo;Low-temperature processing of screen-printed piezoelectric KNbO3 with integration onto biodegradable paper substrates&rdquo;.</p> <p><strong>Associated Manuscript&nbsp;Abstract:</strong> &quot;The development of fully solution-processed, biodegradable piezoelectrics is a critical step in the development of green electronics towards the worldwide reduction of harmful electronic waste. However, recent printing processes for piezoelectrics are hindered by the high sintering temperatures required for conventional perovskite fabrication techniques. Thus, a process was developed to manufacture lead-free printed piezoelectric devices at low temperatures to enable integration with eco-friendly substrates and electrodes. A printable ink was developed for screen printing potassium niobate (KNbO<sub>3</sub>) piezoelectric layers in microns of thickness at a maximum processing temperature of 120&thinsp;&deg;C with high reproducibility. Characteristic parallel plate capacitor and cantilever devices were designed and manufactured to assess the quality of this ink and evaluate its physical, dielectric, and piezoelectric characteristics; including a comparison of behavior between conventional silicon and biodegradable paper substrates. The printed layers were 10.7&ndash;11.2&thinsp;&mu;m thick, with acceptable surface roughness values in the range of 0.4&ndash;1.1&thinsp;&mu;m. The relative permittivity of the piezoelectric layer was 29.3. The poling parameters were optimized for the piezoelectric response, with an average longitudinal piezoelectric coefficient for samples printed on paper substrates measured as&nbsp;<em>d</em><sub>33,<em>eff</em>,<em>paper</em></sub>&thinsp;= 13.57&thinsp;&plusmn;&thinsp;2.84&thinsp;pC/N; the largest measured value was 18.37&thinsp;pC/N on paper substrates. This approach to printable biodegradable piezoelectrics opens the way forward for fully solution-processed green piezoelectric devices.&quot;</p> <p>The data set consists of the following folders:</p> <ul> <li>Device design files <ul> <li>Contains data associated with the design and fabrication of printed devices.</li> <li>Includes CAD designs of fabricated devices and py files of computational models</li> </ul> </li> <li>Physical characterization data&nbsp; <ul> <li>Contains data associated with characterizing the physical properties of the piezoelectric devices</li> <li>Includes particle size analysis data (SEM images of printed layers, collected dimensional data), Profilometry scans, Layer adhesion, ink density, and rheology data.</li> </ul> </li> <li>Dielectric characterization data <ul> <li>Contains&nbsp;data associated with characterizing the dielectric properties of the piezoelectric devices&nbsp;</li> <li>Includes py analysis script as well as raw data collected for capacitor devices of varying surface area and substrate material</li> </ul> </li> <li>Piezoelectric characterization data <ul> <li>Contains&nbsp;data associated with characterizing the piezoelectric properties of the devices</li> <li>Includes raw data collected from Berlincourt measurements of samples, matlab scripts for analysis of cantilever samples from Laser Doppler Vibrometry, and raw data collected for cantilever samples of device deflection from LDV measurements</li> </ul> </li> </ul> <p>Please refer to the included readme files for a detailed description of the contents.</p>

opencc-by-4.0Feb 2023View details →
zenodo44/100

Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging (LD-LTP MSI) of tobacco seedlings

<p>Mass spectrometry imaging (MSI) data set in imzML format, of complete&nbsp;tobacco (<em>Nicotiana tabacum</em>) seedling&nbsp;using&nbsp;Laser Desorption Low-Temperature Plasma ionization. Mapping the ion that corresponds to nicotine shows accumulation in the roots and at the borders of leaves.</p> <p>The experiment is described in:</p> <p>Elucidating the Distribution of Plant Metabolites from Native Tissues with Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging,&nbsp;Abigail Moreno-Pedraza,&nbsp;Ignacio Rosas-Rom&aacute;n,&nbsp;Nancy Shyrley Garcia-Rojas,&nbsp;H&eacute;ctor Guill&eacute;n-Alonso,&nbsp;Cesar&eacute; Ovando-V&aacute;zquez,&nbsp;David D&iacute;az-Ram&iacute;rez,&nbsp;Jessica Cuevas-Contreras,&nbsp;Fredd Vergara,&nbsp;Nayelli Marsch-Mart&iacute;nez,&nbsp;Jorge Molina-Torres, and&nbsp;Robert Winkler,&nbsp;Analytical Chemistry&nbsp;<strong>2019</strong>&nbsp;<em>91</em>&nbsp;(4), 2734-2743</p>

opencc-by-4.0Jan 2020View details →
zenodo44/100

Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging (LD-LTP MSI) of San Pedro cactus

<p>Mass spectrometry imaging (MSI) data set in imzML format, obtained from San Pedro cactus (<em>Echinopsis pachanoi</em>) cross-section using&nbsp;Laser Desorption Low-Temperature Plasma ionization. Mapping the ion that corresponds to mescaline shows a star-like distribution of this interesting&nbsp;alkaloid.</p> <p>The experiment is described in:</p> <p>Elucidating the Distribution of Plant Metabolites from Native Tissues with Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging,&nbsp;Abigail Moreno-Pedraza,&nbsp;Ignacio Rosas-Rom&aacute;n,&nbsp;Nancy Shyrley Garcia-Rojas,&nbsp;H&eacute;ctor Guill&eacute;n-Alonso,&nbsp;Cesar&eacute; Ovando-V&aacute;zquez,&nbsp;David D&iacute;az-Ram&iacute;rez,&nbsp;Jessica Cuevas-Contreras,&nbsp;Fredd Vergara,&nbsp;Nayelli Marsch-Mart&iacute;nez,&nbsp;Jorge Molina-Torres, and&nbsp;Robert Winkler,&nbsp;Analytical Chemistry&nbsp;<strong>2019</strong>&nbsp;<em>91</em>&nbsp;(4), 2734-2743</p> <p>DOI: 10.1021/acs.analchem.8b04406</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2020View details →
zenodo44/100

Pushing the Study of Point Defects in Thin Film Ferrites to Low Temperatures Using In Situ Ellipsometry

<p>Dataset for article &quot;Pushing the Study of Point Defects in Thin Film Ferrites to Low Temperatures Using In Situ Ellipsometry&quot; published in&nbsp;<em>Adv. Mater. Interfaces</em> 2021, <strong>8</strong>, 2001881.&nbsp;</p> <p>The data includes:</p> <ul> <li>XRD data of La<sub>1-x</sub>Sr<sub>x</sub>FeO<sub>3</sub>&nbsp;thin films</li> <li>Optical conductivity of LSF films as a function of oxygen partial pressure and Sr content</li> <li>Concentration of electronic holes in LSF thin films as a function of oxygen partial pressure and temperature</li> <li>Defect chemistry models employed for describing the concentration of point defects in LSF thin films.</li> <li>Equilibrium constants for oxygen incorporation reactions in LSF thin films at different temperatures</li> <li>Ellipsometry raw data of LSF50 thin film as a function of equivalent oxygen pressure&nbsp;</li> <li>Electrochemical impedance spectra of the LSF50 thin film at 400 &ordm;C</li> </ul>

opencc-by-4.0Jan 2021View details →
zenodo44/100

Updated Low-Temperature Gas Opacities with ÆSOPUS 2.0

<p>This repository includes&nbsp;pre-computed tables of low-temperature gas opacities, in the range 3.2&lt;log(T/K)&lt;4.5, computed with the &AElig;SOPUS 2.0 code under the assumption of thermodynamic equilibrium,&nbsp;for a series of widely used chemical compositions. All details are provided in a companion paper on The Astrophysical Journal.</p>

opencc-by-4.0Oct 2022View details →
zenodo44/100

Structural Inheritance in the Eastern Cordillera, NW Argentina: Low‐Temperature Thermochronology of the Cianzo Basin - Supporting Information

<p>Supporting information accompanying the publication "Structural Inheritance in the Eastern Cordillera, NW Argentina: Low‐Temperature Thermochronology of the Cianzo Basin" published in Tectonics. The dataset contains (U-Th-Sm)/He and apatite fission track data from the Cianzo Basin, Jujuy, Argentina, and accompanying figures.</p> <p>Table S1 contains full single-grain results from apatite (AHe) and zircon (ZHe) (U-Th-Sm)/He analyses. Table S2 and S3 contain AFT results including full counting data from apatite fission track (AFT) analyses.</p> <p>Figure S1 supports AHe and ZHe data with plots showing relationships between cooling ages, eU, Ft and ESR. Figures S2&ndash;S4 support AFT data with radial plots.</p>

opencc-by-nc-nd-4.0May 2024View details →
zenodo44/100

Data on the material characterization of cast and additively manufactured IN939 subjected to room-temperature low-cycle fatigue load

<p>The original data to the research paper termed "Room-temperature low-cycle fatigue behaviour of cast and additively manufactured IN939 superalloy" are enclosed. Two specimen orientations of L-PBF IN939 - horizontal and vertical, and two thermodynamical states - without subsequent heat treatment (non-treated) and standard aged according to Delargy et al., 1986, were investigated. The paper concerns the low-cycle fatigue performance of cast and additively manufactured IN939 superalloy. It brings a comprehensive account on the damage and deformation behaviour of the tested alloy, combining the test analyses with high-resolution SEM and TEM observations.</p>

opencc-by-4.0Sep 2024View details →
zenodo44/100

MedAID_Key performance indicators for gilthead seabream reared under low temperature

<p>This data set contains the results from a nutritional trial performed at the Centre of Marine Sciences of Algarve (CCMAR, Faro, Portugal) within the framework of WP2 of the MedAID project (Mediterranean Aquaculture Integrated Development, Horizon 2020, GA number 727315). This experiment impacts aimed to evaluate growth performance, feed utilisation, nutrient digestibility and nitrogen losses to the environment in gilthead seabream juveniles (<em>Sparus aurata</em>, initial weight: &plusmn; 154.5 g) reared under low temperature (~13&deg;C). Three diets were tested: a commercial-like diet (COM), containing 44% crude protein and 27.5% fishmeal, and two experimental diets with a lower protein content of 42% (ECO and ECOSup). In both ECO diets fishmeal inclusion was reduced (10% in ECO and 7.5% in ECOSup diet) and 15% poultry meal was included. Additionally, the ECOSup diet was supplemented with a mix of feed additives intended to promote fish growth performance and feed intake. For further information on experimental conditions, please refer to the publication: &ldquo;Teod&oacute;sio R., Arag&atilde;o C., Colen R., Carrilho R., Dias J. and Engrola S., 2021. A nutritional strategy to promote gilthead seabream performance under low temperatures. Aquaculture 537: 736494. doi:10.1016/j.aquaculture.2021.736494&rdquo;. In addition to properly citing this dataset, it would be appreciated that when using this dataset in a publication the original publication is cited.</p>

opencc-by-4.0Nov 2022View details →
zenodo44/100

data for journal article 'Nernst-Ettingshausen effect in thin Pt and W films at low temperatures'

<p>This dataset contains the supporting information for the journal article&nbsp;&#39;Nernst-Ettingshausen effect in thin Pt and W films at low temperatures&#39;.</p>

opencc-by-4.0Apr 2023View details →
zenodo44/100

HPD experiments -- DryDemag cryostat, Low-temperature laboratory, Aalto University, Finland, 2018

<p>Data related to NMR experients in superfluid 3He-B in DryDemag cryostat in 2018.</p><p>The main part is oscilloscope signals and spectrograms of HPD (homogeneously precessing domain) where we have found spatially-localised oscillation modes. We attribute some of these modes to oscillations of theta-solitons in HPD.</p><p>Files:</p><p>data2018_dd_hpd_1.tgz -- All data except oscilloscope signals (2.0Gb).</p><p>data2018_dd_hpd_2.tgz&nbsp; -- Oscilloscope signals (5.9Gb), archive is splitted into three parts with split(1) program.<br>&nbsp;</p>

opencc-by-4.0Oct 2023View details →
edi44/100

Temperature datasets for stock tanks and natural sites at High, Medium, and Low elevations, as part of the LTREB Swordtail project in Hidalgo, Mexico, 2015 - 2025

The core of this project focuses on monitoring the phenotypic and genotypic evolution of experimental and natural hybrid populations of swordtails for ten generations. To get a clear understanding of how evolution shapes genome wide ancestry and the distribution of species-specific alleles at functional loci during early generations of hybridization, it's important to monitor these populations using experimental crosses. Eight replicate 2000 L mesocosm stock tanks were built at high (1514 m), intermediate (980 m), and low (186 m) elevations near the CICHAZ field site were seeded with Xiphophorus birchmanni – X. malinche F1 hybrids. The F1s were generated by crossing X. malinche females with X. birchmanni malesin stock tanks at CICHAZ, a research station in Calnali, Mexico. Tanks at higher elevations experience cooler water temperatures. Our experimental design thereby allows us to characterize how ecological selection shapes genotypic and phenotypic differences in thermal tolerance across hybrid populations exposed to different temperature regimes. The data contained in these files include recorded water temperature (in Celsius), taken every six hours from three stock tanks at low (186 m: STL), medium (980 m: STM), and high (1514 m: STH) elevations, along with three natural river sites. File Natural.csv contains the natural sites and the file Stock Tanks.csv contains the corresponding natural sites. Acuapa (ACUA) is paired with STL, Aguazarca (AGZC) is paired with STM, and Tlatemaco (TLMC) is paired with STH.

openCC (other)Sep 2020View details →
zenodo40/100

Raw and analysed data for contribution paper "Low temperature plasma deoxidation of copper surfaces"

<p><strong>Abstract</strong>: In this study, the application of a DBD plasma for metal deoxidation was shown on differently oxidized copper surfaces in an Ar/H<sub>2</sub> atmosphere at 100&nbsp;hPa and room temperature. Plasma treatments with a discharge voltage of 11&nbsp;kV and a frequency of 8.8&nbsp;kHz yielded an almost complete deoxidation of samples with native Cu<sub>2</sub>O layers and samples with pre-oxidized CuO layers, both within minutes of the Ar/H<sub>2</sub> plasma treatment. The chemical state of the samples was characterized via X-ray photoelectron spectroscopy (XPS). The plasma was analysed by optical emission spectroscopy (OES). Additionally, confocal laser scanning microscopy (CLSM) images show that the employed deoxidation method did not change the morphology of the copper surfaces.</p>

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

Low-temperature plasma mass spectrometry imaging (LTP-MSI) of Chili pepper

<p>Low-temperature plasma mass spectrometry imaging of a chili pepper.&nbsp; The data set contains raw data and the scripts to prepare the imzML file. The final imzML/ ibd files are also included.</p> <p>The creation of the data is described in: Maldonado-Torres, Mauricio, Jos&eacute; Fabricio L&oacute;pez-Hern&aacute;ndez, Pedro Jim&eacute;nez-Sandoval, and Robert Winkler. 2014. &ldquo;&lsquo;Plug and Play&rsquo; Assembly of a Low-Temperature Plasma Ionization Mass Spectrometry Imaging (LTP-MSI) System.&rdquo; <em>Journal of Proteomics</em> 102C (March): 60&ndash;65. doi:10.1016/j.jprot.2014.03.003.</p> <p>The data set was re-analyzed using R scripts, as reported in: Gamboa-Becerra, Roberto, Enrique Ram&iacute;rez-Ch&aacute;vez, Jorge Molina-Torres, Robert Winkler, Enrique Ram&iacute;rez-Ch&aacute;vez, Jorge Molina-Torres, and Robert Winkler. 2015. &ldquo;MSI.R Scripts Reveal Volatile and Semi-Volatile Features in Low-Temperature Plasma Mass Spectrometry Imaging (LTP-MSI) of Chilli (Capsicum Annuum).&rdquo; <em>Analytical and Bioanalytical Chemistry</em> 407 (19): 5673&ndash;84. doi:10.1007/s00216-015-8744-9.</p>

opencc-by-4.0Apr 2017View details →
zenodo40/100

Dataset supplementing B. Ojha, N. Illyaskutty, J. Knoblauch, H. Kohler (2017): High temperature CO/HC gas sensors to optimize firewood combustion in low power fireplaces, Journal of Sensors and Sensor Systems (JSSS), 6, 237–246, 2017 (doi:10.5194/jsss-6-237-2017)

<p>Dataset presented in B. Ojha, N. Illyaskutty, J. Knoblauch, H. Kohler (2017): High temperature CO/HC gas sensors to optimize firewood combustion in low power fireplaces, Journal of Sensors and Sensor Systems (JSSS), 6, 237–246, 2017 (doi:10.5194/jsss-6-237-2017)</p>

opencc-by-4.0May 2017View details →
zenodo40/100

Low-temperature thermochronology database of the Carpathian fold-and-thrust belt (ZFT; ZHe; AFT; AHe) compilation from 1999 to 2023

<p>The following tables contain the low-temperature thermochronology dataset used in the Carpathian belt's exhumation model inversion. This dataset includes information from four thermochronometers: Apatite and Zircon Fission Track (AFT and ZFT), as well as (U-Th)/He on Apatites and Zircons (AHe and ZHe). Compiled from 1999 to 2023, this database encompasses available literature data related to low-temperature thermochronology in the region.&nbsp;</p><p>Excel table as well as a PDF file describe the database.</p>

opencc-by-4.0Nov 2023View details →
dryad40/100

Data from: High temperatures and low soil moisture synergistically reduce switchgrass yields from marginal field sites and inhibit fermentation

<p>'Marginal lands' are low productivity sites abandoned from agriculture for reasons such as low or high soil water content, challenging topography, or nutrient deficiency. To avoid competition with crop production, cellulosic bioenergy crops have been proposed for cultivation on marginal lands, however on these sites they may be more strongly affected by environmental stresses such as low soil water content. In this study we used rainout shelters to induce low soil moisture on marginal lands and determine the effect of soil water stress on switchgrass growth and the subsequent production of bioethanol. Five marginal land sites that span a latitudinal gradient in Michigan and Wisconsin were planted to switchgrass in 2013 and during the 2018-2021 growing seasons were exposed to reduced precipitation under rainout shelters in comparison to ambient precipitation. The effect of reduced precipitation was related to the environmental conditions at each site and biofuel production metrics (switchgrass biomass yields and composition and ethanol production). During the first year (2018), the rainout shelters were designed with 60% rain exclusion, which did not affect biomass yields compared to ambient conditions at any of the field sites, but decreased switchgrass fermentability at the Wisconsin Central - Hancock site. In subsequent years, the shelters were redesigned to fully exclude rainfall, which led to reduced biomass yields and inhibited fermentation for three sites. When switchgrass was grown in soils with large reductions in moisture and increases in temperature, the potential for biofuel production was significantly reduced, exposing some of the challenges associated with producing biofuels from lignocellulosic biomass grown under drought conditions.</p>

opencc-zeroJan 2024View details →

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Allen Brain Atlas

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

Annotated Behaviour and Observability Dataset (ABODe)

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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