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172 results for “temperature profile”
Weekly and high frequency temperature profile data and Secchi depth, Mohonk Lake, NY, USA, 1985 to 2017
We, the staff, volunteers and associates of the Mohonk Preserve, have been collecting profiles of temperature data and Secchi depths in Mohonk Lake beginning in 1985. Mohonk Lake is small (6.9 ha), deep (zmax=18.5m), oligo-mesotrophic lake, dimictic, glacially formed system on the northern Shawangunk Ridge, New York State, USA. The temperature profiles can provide information on the lake thermal structure and can be used to calculate physical variables such as thermocline depth and thermal stability. We collected data weekly with two exceptions: 1) 01 Jan 1985 to 09 August 1985 when temperature profiles were collected daily and 2) in 2017, when temperature profiles were collected every 15 minutes and down-sampled to daily means.
Data from: Impacts of temperature and lunar day on gene expression profiles during a monthly reproductive cycle in the brooding coral Pocillopora damicornis
Reproductive timing in brooding corals has been correlated to temperature and lunar irradiance, but the mechanisms by which corals transduce these environmental variables into molecular signals are unknown. To gain insight into these processes, global gene expression profiles in the coral Pocillopora damicornis were examined (via RNA-Seq) across lunar phases and between temperature treatments, during a monthly planulation cycle. The interaction of temperature and lunar day together had the largest influence on gene expression. Mean timing of planulation, which occurred at lunar days 7.4 and 12.5 for 28- and 23°C-treated corals, respectively, was associated with an upregulation of transcripts in individual temperature treatments. Expression profiles of planulation-associated genes were compared between temperature treatments, revealing that elevated temperatures disrupted expression profiles associated with planulation. Gene functions inferred from homologous matches to online databases suggest complex neuropeptide signalling, with calcium as a central mediator, acting through tyrosine kinase and G protein-coupled receptor pathways. This work contributes to our understanding of coral reproductive physiology and the impacts of environmental variables on coral reproductive pathways.
Continuous snow temperature profiles from the Snow Ice Mass Balance Apparatus (SIMBA) (level 1 Raw), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), November 2022-June 2023
<p>Raw (Level 1) measurements from the Snow Ice Mass Balance Apparatus (SIMBA) deployed at the Avery Picnic site (~ 38°58.345' N, 106°59.811' W) during the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign near Gothic, Colorado, from November 2021 through June 2023. The SIMBA, originally designed for observing the mass balance of sea ice, is comprised of a thermistor chain with 2 cm spacing (Jackson et al., 2013). This system was configured for terrestrial snowpack by the manufacturer, SAMS Enterprise, to the specifications for SPLASH. The chain was installed suspended from a tripod and fixed to a rigid plastic bar near in time to the onset of snowpack in November 2022. The lowest 10 cm of the chain were buried within the soil. The top of the chain reached approximately 180 cm above the soil surface and snow was permitted to accumulate around the chain throughout the winter of 2022-2023. In the files, negative values of the "height" vector are below the soil surface and positive levels are above, which may be either snow or air depending on the snow depth. The system also uses a low-power heating cycle to measure thermistor's temperature response time for aiding in determining material interfaces: see Jackson et al. (2013) for details. </p><p>There are several cautions to be aware of when using these data. The data has been ingested into daily netCDF and metadata (in attributes) have been provided but no quality control has been carried out on this raw version of the data set. From 1 November through 22 December 2022, the sensor obtained profiles every 10 min after which corruption of the configuration file reverted the profiles to every 6 hours (0, 6, 12, and 18 UTC). After 1 January a problem in the firmware caused the system to lose connection to the time-synching GPS network and therefore the clock drifted from January through June 2023 (the maximum potential time stamping error is likely < 81 sec). Finally, from 23 March through 4 April 2023, the depth of the snow at the location of the sensor was deeper than 180 cm and thus measurements in the upper part of the snowpack were not observed then.</p><p>Jackson, K., J. Wilkinson, T. Maksym, D. Meldrum, J. Beckers, C. Haas, and D. Mackenzie (2013) A novel and low-cost sea ice mass balance buoy. Journal of Atmosphere and Oceanic Technology, 30(11), 2676-2688, https://doi.org/10.1175/JTECH-D-13-00058.1.</p>
Dataset for "An innovative pure rotational Raman lidar for accurately profiling atmospheric temperature and aerosol/cloud backscatter coefficients"
<p>This is the dataset used in the paper "<span>An innovative pure rotational Raman lidar for accurately profiling atmospheric temperature and aerosol/cloud backscatter coefficients"</span></p>
Electron number density, temperature, gas mass and hydrostatic mass profiles for 22 eROSITA clusters
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Clear-sky profile database for the development of Land Surface Temperature algorithms
<p>This dataset includes clear sky atmospheric profiles from the European Centre for Medium Range Forecast (ECMWF) version-5 reanalysis (ERA5), specially selected to support the development of algorithms of Land Surface Temperature (LST) retrieval from Earth observation (EO) data. The profiles were re-sampled from an ERA5 dataset covering the 2009-2019 period, with a 1x1 degree spatial resolution, hourly sampling and using the full vertical resolution (137 model levels). The re-sampling technique is based on a dissimilarity criterion applied to profiles of temperature and specific humidity, in order to obtain regular distributions of atmospheric variables of relevance for LST retrieval in the Thermal Infrared (TIR) spectral range. The database is limited to clear-sky conditions over land, being therefore suitable for the development of satellite land products relying on optical and thermal infrared imagery in general, despite targeting especially LST.</p> <p><strong>Dataset description:</strong></p> <p>The dataset is divided in multiple netCDF4 files based on the range of skin temperature (Tskin; Kelvin) and the range of total column water vapour (TCWV; mm). Each file includes the following variables:</p> <ul> <li>Time</li> <li>Longitude</li> <li>Latitude</li> <li>2-m temperature (t2m)</li> <li>Surface pressure (sp)</li> <li>Total cloud cover (tcc)</li> <li>Total column water vapour (tcwv)</li> <li>Skin temperature (skt)</li> <li>Surface emissivity (emis)</li> <li>Land cover classification (lcc)</li> <li>Temperature profile (t)</li> <li>Specific humidity profile (q)</li> <li>Ozone profile (o3)</li> <li>Pressure profile (p)</li> </ul> <p>All profiles are provided on model levels. For each profile, 6 values of skin temperature and 25 values of emissivity are provided (see publication for details). Emissivity values correspond to the wavelengths of ~11 and ~12 µm.</p> <p><strong>Credit:</strong></p> <p>To use this data please cite this dataset and the respective journal publication:</p> <p>Ermida, S.L.; Trigo, I.F. (2022) A Comprehensive Clear-Sky Database for the Development of Land Surface Temperature Algorithms. <em>Remote Sens.</em>, <em>14</em>, 2329. <a href="https://doi.org/10.3390/rs14102329">https://doi.org/10.3390/rs14102329</a> </p> <p> </p> <p><strong>Access: </strong></p> <p>Currently, Zenodo does not provide a simple way to download datasets with a large number of files. We recomend trying the <a href="https://zenodo.org/record/3676567#.YnJAxtPMJhE">Zenodo_get</a> to simplify the download.</p>
Temperature profile measurements in the debris-covered headwalls of four thaw slumps in the Tuktoyaktuk Coastlands, Northwest Territories, Canada
<p>Temperature profile measurements in the debris-covered headwalls of four thaw slumps in the Tuktoyaktuk Coastlands, Northwest Territories, Canada, summer 2018</p> <p>Instruments<br> We used iButton probes (DS1922L; maxim integrated) that were coated with resin.<br> We submerged the probes in an ice bath from 2018-5-31 22:00 - 2018-06-01 11:00.</p> <p>Deployment<br> The iButtons were anchored in hollow, sealed rods. The rods were inserted so that iButtons were located at 5, 20 and 35 cm depth.<br> The rods contained the following iButtons at (05, 20, 35) cm depth [None indicating that there was no probe in the respective slot]:<br> Rod, (probe at 5 cm, probe at 20 cm, probe at 35 cm),<br> 1, (01,02,03)<br> 2, (None,04,None)<br> 3, (None,05,None)<br> 4, (06,07,08)<br> 5, (09,10,11)<br> 6, (None,12,None)<br> 7, (None,13,None)<br> 8, (None,14,None)<br> 9, (16,15,None)<br> 10, (17,18,19)</p> <p>Locations<br> Top Lake:<br> Location: 68.757N, 133.520W<br> Rods: 4 (central), 7 (23 cm above central rod in dip direction), 1 (25 cm from central rod in strike direction [west]), 6 (23 cm below central rod in dip direction), 20 (10 m from headwall; slump floor)<br> Deployment: 2018-06-15 - 2018-08-05</p> <p> Evan Lake:<br> Location: 68.754N, 133.464W<br> Rods: 9 (central)<br> Deployment: 2018-06-13 - 2018-08-24</p> <p> Roadside:<br> Location: 69.007N, 133.361W<br> Rods: 10 (central), 2 (20 cm above central rod in dip direction), 8 (20 cm from central rod in strike direction [west]), 3 (20 cm below central rod in dip direction)<br> Deployment: 2018-06-27 - 2018-08-21</p> <p> Timbit Lake:<br> Location: 69.105N, 133.290W<br> Rods: 5 (central)<br> Deployment: 2018-06-15 - lost<br> <br> Data description:<br> Each XX.txt file contains the native output of the iButton software by maxim integrated for probe XX. A calibration offset can be estimated from the average temperature recorded during the ice-bath calibration period.</p>
Changes in microbiome and metabolomic profiles of fecal samples stored with stabilizing solution at room temperature
<p>Metabolite profiles of samples stored at room temperature. </p> <p>Fecal samples from three individuals were stored in non-stabilization condition and in OMNIgene.GUT metagenome stabilization solution up to 21 days. Their metabolites were profiled with ultra-performance liquid chromatograph (UPLC) - quadrupole time-of-flight (Q-TOF) mass-spectrometry pipeline on an Acquity UPLC-Q-TOF instrument (Waters, Milford, MA, USA) equipped with an Acquity UPLC BEH C18 column. </p> <p> </p> <p>* MetabolitePeak.xlsx : Metabolite profile</p> <p>* MetabolitePeak.xlsx : Metabolite peak information</p> <p>* Sample.xlsx : Sample preservation condition</p> <p> </p>
Effects of temperature treatments on cytosine-methylation profiles of diploid and tetraploid plants of the alpine species Ranunculus kuepferi (Ranunculaceae)
<p>The current dataset refers to the DNA methylation patterns of diploid and tetraploid individuals of <em>Ranunculus kuepferi</em>, obtained with the method of methylation-sensitive AFLPs (MS-AFLPs).</p> <p>The individuals of Ranunculus kuepferi were collected from several locations throughout the distribution of the species in the Alps, transferred to the old Botanical Garden of Göttingen and placed into two climate chambers MC1000E (Snijders Scientific, Tilburg, Netherlands), where the temperature treatment experiments took place. In the first chamber a cold treatment was applied (+7°C day/+2°C night; frost treatment: -1°C cold shocks for three nights per week), while in the second chamber a warm treatment was applied (+15° day/+10°C night).</p> <p>The plants were shifted from one treatment to the other one after the end of the 2016 flowering period and leaf material was collected during the flowering period of 2016 and 2017. This material went through the respective lab procedures in order to obtain the genome-wide patterns of epigenetic variation via MS-AFLPs.</p> <p>The analysis of the electropherograms was conducted with Peakscanner v.2 and fragment scoring was performed with RawGeno 2.0-1 R package. These fragment scoring binary matrices are presented here.</p>
Post-eclosion temperature effects on insect cuticular hydrocarbon profiles
<p>The insect cuticle is the interface between internal homeostasis and the often harsh external environment.<b> </b>Cuticular hydrocarbons (CHCs) are key constituents of this hard cuticle and are associated with a variety of functions including stress response and communication. CHC production and deposition on the insect cuticle vary among natural populations and are affected by developmental temperature; however, little is known about CHC plasticity in response to the environment experienced following eclosion, during which time the insect cuticle undergoes several crucial changes. We targeted this crucial phase and studied post-eclosion temperature effects on CHC profiles in two natural populations of <i>Drosophila melanogaster. </i>A forty-eight hour post-eclosion exposure to three different temperatures (18, 25, & 30 °C) significantly affected CHCs in both ancestral African and more recently derived North American populations of <i>D. melanogaster.</i> A clear shift from shorter to longer CHCs chain-length was observed with increasing temperature, and the effects of post-eclosion temperature varied across populations and between sexes. The quantitative differences in CHCs were associated with variation in desiccation tolerance among populations. Surprisingly, we did not detect any significant differences in water loss rate between African and North American populations. Overall, our results demonstrate strong genetic and plasticity effects in CHC profiles in response to environmental temperatures experienced at the adult stage as well as associations with desiccation tolerance, which is crucial in understanding holometabolan responses to stress.</p>
MUA PRR_lidar temperature profiles for atmospheric refraction correction in lunar laser ranging
<p>This PRR lidar temperature data are used for atmospheric refraction corrrection in millimeter-level precision lunar laser ranging.</p>
Post-eclosion temperature effects on insect cuticular hydrocarbon profiles
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Effects of temperature treatments on cytosine-methylation profiles of diploid and tetraploid plants of the alpine species Ranunculus kuepferi (Ranunculaceae)
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Data from: Impacts of temperature and lunar day on gene expression profiles during a monthly reproductive cycle in the brooding coral Pocillopora damicornis
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Conductivity Temperature Depth (CTD) sensor profile data binned by depth from stations within the CCE region from CCE LTER P0904 student cruise, April 2009.
Data from deployed Seabird 911 CTD mounted on a 24-bottle rosette during P0904 student cruise in the CCE region. The CTD-rosette is lowered into the ocean (to depths up to 1000m) at selected hydrographic stations and multiple times across fronts, using the ship's conductive-wire winch. Data from many sensors are transmitted up the conductive wire and displayed real-time on a data aquistion computer. Discrete seawater samples are collected in 10L bottles at specific depths determined by the chlorophyll maximum and mixed layer depth. These samples are analyzed at sea and used to assess the CTD sensor data quality, plus measure additional properties. Processed CTD profile data are binned by depth and include: depth, temperature, salinity, density (sigma theta), oxygen, O2 saturation, PAR (radiation, surface radiation, and % irradiance), fluorescence, transmission, and nitrate. These data are then compared to the seawater sample data, and corrected if necessary.
Conductivity Temperature Depth (CTD) sensor profile data binned by depth from stations within the CCE region from CCE LTER process cruises, 2006 - 2017 (ongoing).
Since 2006 (ongoing), the CCE LTER program has deployed a Seabird 911 CTD mounted on a 24-bottle rosette during Process cruises in the CCE region. The CTD-rosette is lowered into the ocean (to depths up to 1000m) at selected hydrographic stations and multiple times across fronts, using the ship's conductive-wire winch. Data from many sensors are transmitted up the conductive wire and displayed real-time on a data aquistion computer. Discrete seawater samples are collected in 10L bottles at specific depths determined by the chlorophyll maximum and mixed layer depth. These samples are analyzed at sea and used to assess the CTD sensor data quality, plus measure additional properties. Processed CTD profile data are binned by depth and include: depth, temperature, salinity, density (sigma theta), oxygen, O2 saturation, PAR (radiation, surface radiation, and % irradiance), fluorescence, transmission, and nitrate. These data are then compared to the seawater sample data, and corrected if necessary.
Seawater temperature and salinity depth profiles (CTD) - SAMS IMTA Lab
<p>Dataset contains depth profiles (0m to 20m below the surface) of seawater temperture and salinity, recorded using a handheld CTD (SonTek CastAway-CTD).</p> <p>Data range spans over 4 years (Oct 2020-2024; ASTRAL H2020 project lifespan) containing 53 sampling occassions i.e. on average montghly CTD casts.</p> <p>Hnadheld CTD was frequently cross-calibrated agianst SAMS in-house Seabird CTD and resulting offests appliced to the raw data recordings.</p>
A Comparison of Two Methods For Resolving Displacement Heights in Fitting Logarithmic Windspeed and Air Temperature Profiles
<p>This respository houses a distribution of percentage errors as a comparison between estimated aerodynamic parameters and their known values. This helps to test and quantify the overall accuracy of a new method to resolve the displacement heights in fitting logarithmic windspeed and temperature profiles. This dataset is associated with the MRes project '<span>Aerodynamic Roughness Controlled by Wind Direction, with Implications for Glacial Surface Energy Balance and Melt Rate</span>', by Josh Abrahams, University of Leeds. </p>
Data from: Making it last: storage time and temperature have differential impacts on metabolite profiles of airway samples from cystic fibrosis patients
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Conductivity Temperature Depth (CTD) sensor profile data binned by depth from PAL LTER annual cruises, 1991 - 2017 (ongoing).
Since 1991 (and ongoing), the PAL LTER program has deployed a SeaBird 911+ CTD mounted on a 24-bottle rosette during annual (Austral Summer) cruises plus a few supplemental cruises at other times of the year. An equal area grid oriented parallel to the average coast provides the basis for sampling, as well as specific process studies and on-the-fly scientific needs. The CTD-rosette is lowered into the ocean (usually to just above the sea-floor) using the ship's conductive-wire winch. Data is collected and displayed real-time to ensure quality and make decisions about where to collect seawater with the bottles. Bottle data is typically collected extensively in the seasaonal mixed layer and pycnocline, plus at Tmin, in the permament pycnolcine and at Tmax and Smax, as well as near the bottom. Bottle data allows measurement adn calculation of additional variables and helps ensure quality data collected via sensors. Sensors include: Pressure, Conductivity (for Salinity), Temperature, Oxygen, Transmissometer, Flourometer, Photosynthetically Available Radiation (PAR/Irrandiance). Additional Bottle Data Variables include: Phosphate, Silicate, Nitrite, Nitrate, Ammonium. After each cruise, Temperature, Conductivity and Oxygen sensors are calbrated and post-crusie processing is applied, making use of pre- and post- cruise calibrations as well as SeaBird software and algorithms for getting the best quality data. Each profile is then inspected for any issues and if needed, suitable corrections are made such as using secondary sensors (temperature, conductivity and oxygen all currently measured in duplicate), using the upcast, or flagging the data as bad.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.