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59 results for “Temperature records”
Air temperature data for C1 chart recorder, 1952 - ongoing.
Temperature data were collected on a daily time-scale from the C1 climate station (3018 m) since 1952. Over time various circumstances have led to days with missing values. Some missing values were estimated from redundant sensors and nearby climate stations using various methods. Greenland 1987 was a basis for the methodology. However when it was not possible to use this methodology, new methods were developed.
Air temperature data for D1 chart recorder, 1952 - ongoing.
Temperature data were collected on a daily time-scale from the D1 climate station (3743 m) since 1952. Over time, various circumstances have led to days with missing values. Some missing values were estimated from redundant sensors and nearby climate stations using various methods. Greenland 1987 was a basis for the methodology. However when it was not possible to use this methodology, new methods were developed.
Hubbard Brook Experimental Forest: 15-Minute Air Temperature Record, 2014 - present
Air temperature is measured at 15-minute intervals in six clearings throughout the Hubbard Brook experimental watersheds and at the Headquarters Station. Beginning in 2014, digital sensors housed in aspirated solar radiation shields collected air temperature measurements. These data are gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Daily Temperature Record, 1955 - ongoing
Air temperature at the Hubbard Brook Experimental Forest (HBEF) is measured at five locations in rain gage clearings throughout the experimental watersheds and at the Headquarters building. The oldest air temperature record dates back to October 20,1955 at Station 1. From 1955 - 2014, temperature measurements were made continuously using hygrothermographs housed in standard shelters. Beginning in 2013, digital sensors housed in solar radiation shields collected daily minimum and maximum temperature measurements. These data are gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Century-Long Temperature Record from Lake Tanganyika
Lake Tanganyika has one of the longest temperature records of any lake on Earth. Temperature data are spatially and temporally discontinuous but offer an incredible resource for understanding climate impacts on this great tropical lake.
Infilled daily air temperature data for C1 chart recorder, 1952 - ongoing.
Daily minimum and maximum surface air temperature data have been collected at the C1 climate station (3022 m asl) almost continuously from 1952 to the present. C1 is on locally level terrain on the southeastern flank of Niwot Ridge, 9.7 km east of the Continental Divide. Surrounding vegetation is generally closed-canopy subalpine conifer forest. Temperature minima and maxima were measured with a chart-recording hygrothermograph housed in a Stevenson screen located in an open, sparsely treed area adjacent to the forest proper. Hygrothermograph records were calibrated at the time of chart changes against liquid-in-glass thermometers. Processing included quality checks and infilling of missing daily data (see Methods).
Infilled daily air temperature data for D1 chart recorder, 1952 - ongoing.
Daily minimum and maximum surface air temperature data have been collected at the D1 climate station (3739 m asl) almost continuously from 1952 to the present. D1 is on a narrow, exposed ridge on the westernmost part of Niwot Ridge, 2.6 km east of and ca. 200 m lower in elevation than the Continental Divide. Surrounding vegetation is low-stature alpine tundra. Temperature minima and maxima were measured with a chart-recording hygrothermograph housed in a Stevenson screen. Hygrothermograph records were calibrated at the time of chart changes against liquid-in-glass thermometers. Processing included quality checks and infilling of missing daily data (see Methods).
Air temperature data for Saddle chart recorder, 1981 - 2017.
Air temperature data were collected on a daily time-scale from the Saddle climate station (3525 m) since 1981. Over time, various circumstances have led to days with missing values. Some of these values were estimated from redundant sensors and nearby climate stations. Greenland 1987 was a basis for the methodology; however when it was not possible to use this methodology, new methods were developed.
Code and data to "Climate change contribution to the 2023 autumn temperature records in Vienna"
<p>The dataset consists of the code and data used for the preprint "Climate change contribution to the 2023 autumn temperature records in Vienna". </p> <p>It contains two objects:</p> <ul> <li>The station data of mean monthly temperature for Vienna Hohe-Warte from 1750 to 2023 (vienna_hohe-warte.csv), which also can be downloaded here: http://www.zamg.ac.at/histalp/dataset/station/csv.php. </li> <li>The code for modeling and producing the figures of the preprint (autumn_temperature.R).</li> </ul>
Temperature data on forest plots recorded with hourly measurements in LandKlif Project
<p><span>Temperature data on forest plots in LandKlif project recorded with hourly measurements (EasyLOG USB, measured accurate to 0.5°C). Thermologgers were attached to the wildlife cameras within the forest. Due to battery leakage, corrosion, and programming errors, only 39 out of 56 loggers collected temperature data.</span></p> <p><span>LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif). Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. LandKliF, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.</span></p>
Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures
<p>Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures. This dataset accompanies Wallis et al. (2024); further details of the dataset and its creation can be found in the attached readme file and Wallis et al. (2024).</p> <p>---</p> <p><strong>References</strong></p> <p>Wallis, E.J., Osborn, T.J., Taylor, M., Jones, P.D., Joshi, M. & Hawkins, E. (2024) Quantifying exposure biases in early instrumental land surface air temperature observations. <em>International Journal of Climatology, </em>https://doi.org/10.1002/joc.8401</p>
Model Output and Figure Scripts for: "Uncertainty in reconstructing paleo-elevation of the Antarctic Ice Sheet from temperature-sensitive ice core records"
<p>New climate model output and figure scripts for the paper "Uncertainty in reconstructing paleo-elevation of the Antarctic Ice Sheet from temperature-sensitive ice core records".</p>
APT02 Monthly temperature and precipitation records from Manhattan, KS
Data set contains the monthly values of maximum, minimum and average temperatures and monthly total precipitation for Manhattan, KS since 1891. Data are in three separate files, one for each measurement. Data comes from the Weather Data Library (https://www.ncdc.noaa.gov/cdo-web/search?datasetid=GHCND) in the computer system office of the Cooperative Extension Service of Kansas State University, Manhattan Kansas. 211 Umberger Hall, (785) 532-6270.
Twenty four hour continuous tympanic temperature recordings in healthy volunteers and patients presented with Undifferentiated fever
<p>Twenty-four-hour continuous tympanic temperature recordings were obtained using high-accuracy tympanic probes placed at the auditory canal. Measurements were recorded at one-minute intervals over a 24-hour period, yielding 1,440 data points per subject and enabling high-resolution temporal profiling of body temperature.</p> <p>In Phase I, a total of 100 healthy adult volunteers were recruited to establish baseline circadian thermoregulatory patterns. These recordings were stratified by gender to examine physiological variability among individuals without fever.</p> <p>In Phase II, 184 adult patients presenting with undifferentiated fever of seven or more days’ duration were enrolled. Based on clinical examination and laboratory confirmation, the temperature profiles were analysed across a range of conditions, including tuberculosis, non-tubercular bacterial infections, dengue fever, malaria, leptospirosis, pyogenic sepsis, thyroiditis, malignancies, and non-infectious inflammatory diseases. This dual-phase dataset facilitated a comparative analysis between normative and pathological thermoregulatory patterns, supporting the development of classification models for diagnostic differentiation.</p>
Hippocampal CA1 pyramidal cell membrane voltage recorded in response to noise stimuli at two temperatures.
<p>Electrophysiological recording of the membrane voltage (whole-cell patch-clamp) of three hippocampal CA1 pyramidal cells. Cells are stimulated with a current step chosen to ensure a firing rate around 5-10Hz (amplitude of the current step is given in the filenames) and a noise stimulus with zero mean (Ornstein-Uhlenbeck process with 4ms timescale). Each CSV file contains three columns, the timepoints (saved at 10000Hz), the noise stimulus, and the voltage trace recorded in response to the given noise stimulus. Voltages are recorded at low temperatures (around 32 degrees Celsius) and at high temperatures (around 37 degrees Celsius for cell 1, around 40 degrees Celsius for cells 2 and 3), exact temperatures are given in the filenames. The file metadata.csv contains additional information.</p>
Ambient temperature CiPA dynamic hERG protocol dataset recorded on the SyncroPatch 384SE
<p><strong>Abstract </strong></p> <p>The Comprehensive in vitro Proarrhythmic Assay (CiPA) has promoted use of <em>in silico</em> models of drug effects on cardiac repolarization to improve proarrhythmic risk prediction. These models contain a pharmacodynamic component describing drug binding to hERG channels that required <em>in vitro</em> data for kinetics of block, in addition to potency, to constrain them. To date, development and validation has been undertaken using data from manual patch-clamp. The application of this approach at scale requires the development of a high-throughput, automated patch-clamp (APC) implementation. Here, we present a comprehensive analysis of the implementation of the Milnes, or CiPA dynamic protocol, on an APC platform, including quality control and data analysis. Kinetics and potency of block were assessed for bepridil, cisapride, terfenadine and verapamil with data retention/QC pass rate of 21.8% overall, or as high as 50.4% when only appropriate sweep lengths were considered for drugs with faster kinetics. The variability in IC<sub>50</sub> and kinetics between manual and APC was comparable to that seen between sites/platforms in previous APC studies of potency. Whilst the experimental success is less than observed in screens of potency alone, it is still significantly greater than manual patch. With the modifications to protocol design, including sweep length, number of repetitions, and leak correction recommended in this study, this protocol can be applied on APC to acquire data comparable to manual patch clamp.</p> <p><strong>Description</strong></p> <p>High-throughput patch clamp electrophysiology dataset acquired on Nanion SyncroPatch 384PE platform describing the potency and kinetics of drug block of hERG channels stably expressed in CHO cells. The voltage protocols used were 10 or 40 s 0mV steps with a 15s, -80mV inter-pulse intervals, repeated 5 or 10 times in the absence (control) and presence of drug. Drug was added and cells clamped at -80 mV for 4 minutes prior to recording to ensure drug equilibration prior to recording the onset (kinetics) of drug block. This dataset accompanies the paper titled '<strong>High throughput measurement of hERG drug block kinetics using the CiPA dynamic protocol' </strong>by Monique J. Windley, Jessica Farr, Clifford TeBay, Jamie I. Vandenberg and Adam P. Hill<strong>. </strong></p> <p><strong>File information</strong></p> <p>Raw and leak corrected files for individual plates run on the SyncroPatch 384PE</p> <p><strong>Folder naming convention</strong>: Plate identifier (6 digit date_user initials_plate number)_type of data (leak uncorrected raw / leak corrected).</p> <ul> </ul> <p><strong>Raw data </strong></p> <ul> <li><strong>File naming convention: </strong>Plate identifier (6 digit date_user initials_plate number)_well number</li> <li>Each raw data folder also contains a file named QC_plate identifier no. which contains information used for cell/patch and hERG current quality controls including seal resistance, series resistance, capacitance, baseline (average current at -80mV), average (average leak uncorrected current during last 100 ms of 0mV step). QC details are reported for each sweep along with the drug and concentration, with external and 0 M reported for control sweeps.</li> <li>Full SyncroPatch plates were not used for all runs, only applicable wells were included where partial plates were run (see plates 240719_MW1-3, 170719_MW1-3, 180719_MW1 and 291119_MW1)</li> </ul> <p><strong>Leak corrected data</strong></p> <ul> <li><strong>File naming convention:</strong> well number_drug_concentration in M_leak_correction</li> <li>Refer to folder for plate identifier number.</li> <li>Each folder containing leak corrected data also contains a file labelled 'percent block' which contains percentage block measurements for each leak correction file in the same folder as identified by the well number.</li> <li>Only files passing the first pass QC were leak corrected (>125 MOhm seal, <80 MOhm series, 10-200 pA capacitance, >-300 pA baseline, >50 pA hERG current size and <20% change in peak control current)</li> </ul> <p> </p>
X-ray diffraction images recorded for Aumonier et al., (2022) Slow protein dynamics probed by time-resolved oscillation crystallography at room temperature, IUCrJ
<p>The present repository contains diffraction images corresponding to 27 distinct datasets collected at room temperature on the ESRF beamline ID30A-3 using an Eiger X 4M detector.</p> <p>Datasets have been uploaded with their original names to maintain the metadata integrity. The two following tables match the original names with those attributed in the supplementary table S1 of Aumonier et al., IUCrJ (2022) (https://doi.org/10.1107/S2052252522009150).</p> <table> <tbody> <tr> <td> <p>Data set name on Zenodo</p> </td> <td> <p>X06_01</p> </td> <td> <p>X12_05</p> </td> <td> <p>X07_02_</p> </td> <td> <p>X06_08</p> </td> <td> <p>X14_06</p> </td> <td> <p>X13_03</p> </td> <td> <p>X08_06</p> </td> <td> <p>X11_05</p> </td> <td> <p>X13_05</p> </td> <td> <p>X06_02</p> </td> <td> <p>X11_01</p> </td> <td> <p>X08_01</p> </td> <td> <p>X14_01</p> </td> <td> <p>X13_01</p> </td> <td> <p>X06_03</p> </td> </tr> <tr> <td> <p>Data set in Aumonier et al. 2022</p> </td> <td> <p>Dark</p> </td> <td> <p>PS2</p> </td> <td> <p>PS2</p> </td> <td> <p>PS3</p> </td> <td> <p>PS4</p> </td> <td> <p>PS5</p> </td> <td> <p>PS6</p> </td> <td> <p>PS7</p> </td> <td> <p>R<sub>2”</sub></p> </td> <td> <p>R<sub>3”</sub></p> </td> <td> <p>R<sub>7”</sub></p> </td> <td> <p>R<sub>10”</sub></p> </td> <td> <p>R<sub>13”</sub></p> </td> <td> <p>R<sub>21”</sub></p> </td> <td> <p>R<sub>35”</sub></p> </td> </tr> </tbody> </table> <p> </p> <table> <tbody> <tr> <td> <p>Data set on Zenodo</p> </td> <td> <p>X08_02</p> </td> <td> <p>X11_02</p> </td> <td> <p>X12_02</p> </td> <td> <p>X14_02</p> </td> <td> <p>X13_04</p> </td> <td> <p>X13_02</p> </td> <td> <p>X12_06</p> </td> <td> <p>X06_09</p> </td> <td> <p>X09_04</p> </td> <td> <p>X12_04</p> </td> <td> <p>X06_07</p> </td> <td> <p>X13_07</p> </td> </tr> <tr> <td> <p>Data set in Aumonier et al. 2022</p> </td> <td> <p>R<sub>51”</sub></p> </td> <td> <p>R<sub>62”</sub></p> </td> <td> <p>R<sub>62”</sub></p> </td> <td> <p>R<sub>67”</sub></p> </td> <td> <p>R<sub>72”</sub></p> </td> <td> <p>R<sub>80”</sub></p> </td> <td> <p>R<sub>90”</sub></p> </td> <td> <p>R<sub>130”</sub></p> </td> <td> <p>R<sub>166”</sub></p> </td> <td> <p>R<sub>258”</sub></p> </td> <td> <p>R<sub>630”</sub></p> </td> <td> <p>R<sub>1620”</sub></p> </td> </tr> </tbody> </table> <p>One dataset consists of a master file, four data files and two metadata files.</p>
Time series of electrical conductivity, temperature and relative stream stage recorded in surface water and streambed sediments of River Erpe and River Gruendlach, Germany
<p><span><a href="../api/records/13336325/draft/files/temp_EC_timeseries.csv/content" target="_blank" rel="noopener noreferrer">temp_EC_timeseries.csv</a></span>: Time series of electrical conductivity (mS cm<sup>-1</sup>), temperature (degC) and relative stream stage (cm) recorded in the surface water and in streambed sediments (depth in cm) of River Erpe and River Gruendlach, Germany.</p> <p> </p> <p><span><a href="../api/records/13336325/draft/files/porewater_ec_timeseries.csv/content" target="_blank" rel="noopener noreferrer">porewater_ec_timeseries.csv</a></span>: Time series of electrical conductivity (mS cm<sup>-1</sup>), temperature (degC), relative stream stage (cm) and total pressure (hPa) recorded in the surface water and in streambed sediments (depth in cm) of River Erpe and River Ammer, Germany, and the Sturt River, South Australia.</p>
Dataset for submitted manuscript "Temperatures and cooling rates recorded by the New Caledonia ophiolite: implications for cooling mechanisms in young forearc sequence"
<p>original dataset for the manuscript "Temperatures and cooling rates recorded by the New Caledonia ophiolite: implications for cooling mechanisms in young forearc sequences" submitted to the journal "G3 Geophysics, Geochemistry, Geosystems"</p>
Fig. 7. Daily mean temperature variation recorded from 28 December 2004 in A New Genus of Microteiid Lizard from the Caparaó Mountains, Southeastern Brazil, with a Discussion of Relationships among Gymnophthalminae (Squamata)
Fig. 7. Daily mean temperature variation recorded from 28 December 2004 to 17 November 2005 by a data logger left at 2400 m elevation at Parque Nacional do Caparaó, near the trail leading to the Pico da Bandeira.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.