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229 results for “DATA LOGGER”

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edi52/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE3_Hydro (Sapelo Sound north of Sapelo Island, Georgia) from 01-Jan-2002 through 31-Dec-2002

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE3_Hydro (Sapelo Sound north of Sapelo Island, Georgia) from 01-Jan-2002 through 31-Dec-2002. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →
edi52/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE9_Hydro (Altamaha River near Rockdedundy Island, Georgia) from 25-Feb-2002 through 31-Dec-2002

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE9_Hydro (Altamaha River near Rockdedundy Island, Georgia) from 25-Feb-2002 through 31-Dec-2002. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →
edi52/100

Climate data for C1 data logger (CR1000), 2015 - ongoing, 10 minute.

Climatological data are collected from the C1 climate station on Niwot Ridge (3018 m elevation) throughout the year. Starting 2015-01-01, the CR1000 logger was programmed to collect raw data at a 10 minute resolution. Maximum and minimum values were recorded instantaneously, with a sampling interval of 5 seconds. These data represent the native (ten minute) resolution data from that point onward, with quality flags applied but no data removed.

openCC (other)May 2025View details →
edi52/100

Climate data for D1 data logger (CR1000), 2014 - ongoing, 10 minute.

Climatological data are collected from the D1 climate station on Niwot Ridge (3738 m elevation) throughout the year. Data were recorded using a Campbell Instruments CR1000 data logger. Maximum and minimum values are recorded instantaneously, with a sampling interval of 5 seconds and programmed to generate 10 minute output. These data represent the native resolution (10 minute) data from 2014 onward, with quality flags applied but no data removed.

openCC (other)May 2025View details →
edi52/100

Climate data for saddle data logger (CR1000), 2014 - ongoing, 10 minute.

Climatological data were collected from the saddle climate station on Niwot Ridge (3525 m elevation) throughout the year. Data were recorded using a Campbell Instruments CR1000 data logger. Maximum and minimum values are recorded instantaneously, with a sampling interval of 5 seconds. This instrument was programmed to generate 10 minute output starting in September 2014. These data represent the native (10-minute) resolution data from that point from onward, with quality flags applied but no data removed.

openCC (other)May 2025View details →
edi52/100

Air temperature and relative humidity data for A1 HOBO logger, 2013 - ongoing.

Climatological data were collected from a ridgetop climate station east of Niwot Ridge (A1 at 2195 m) throughout the year using a HOBO Pro V2 data logger mounted in a Stevenson screen. Parameters measured were air temperature and relative humidity.

openCC (other)Dec 2025View details →
edi52/100

Climate data for D1 data loggers (CR23X and CR1000), 2000 - ongoing, daily.

Climatological data were collected from a Niwot Ridge climate station (D1) throughout the year. From July 5 2000 through October 23 2013, data were recorded using a Campbell Instruments CR23X data logger. Subsequently, data were recorded using a Campbell Instruments CR1000 data logger. Maximum and minimum values are recorded instantaneously, with a sampling interval of 5 seconds. Daily averages and totals were calculated from 17,280 individual measurements. This instrument was programmed to generate both hourly and daily output. Beginning in June 25 2009, 10 minute output was also generated. Daily output generated by the logger ended in 2014. Beginning in 2014, daily values were calculated from the native resolution data (ten minute).

openCC (other)Mar 2025View details →
edi52/100

Air temperature and relative humidity data for B1 HOBO logger, 2012 - ongoing.

Climatological data were collected from a ridgetop climate station east of Niwot Ridge (B1 at 2591 m) throughout the year using a HOBO Pro V2 data logger mounted in a Stevenson screen. Parameters measured were air temperature and relative humidity

openCC (other)Dec 2025View details →
edi52/100

Climate data for saddle data loggers (CR23X and CR1000), 2009 - 2021, hourly.

Climatological data were collected from the saddle climate station on Niwot Ridge (3525 m elevation) throughout the year. From 2000-06-24 to 2012-03-24, data were recorded using a Campbell Instruments CR23X data logger. Subsequently, data were recorded using a Campbell Instruments CR1000 data logger. This data set includes data beginning in 2009. Maximum and minimum values were recorded instantaneously, with a sampling interval of 5 seconds. Hourly means and totals were calculated from 720 individual measurements. The CR23X logger was programmed to generate both hourly and daily output. The CR1000 logger generated daily, hourly, and minute data until September 2014, and 10 minute and minute data thereafter. This dataset discontinued, see methods for instructions on accessing the 10 minute data instead.

openCC (other)Mar 2025View details →
zenodo48/100

New Zealand Hikurangi Margin temperature and pressure loggers - data sets.

<p>Description of data</p> <p>In 2019, 14 RBR data loggers were purchased as a supplement to an existing NSF grant, and were tested, calibrated, and deployed on the Hikurangi Subduction Zone margin as part of the Evan Solomon (UW) deployment of flow meters at this site. The purpose of the Solomon pore fluid analysis program was to determine the impact of Slow Slip Tectonic Events on near-surface fluid flow for this active margin. The purpose of the supplemental RBR loggers, attached directly to fluid flow meters, was to add the key components of pressure and temperature to this data set and specifically to identify any sediment slope failures and turbidity flows that occur during the two year deployment period.</p> <p>By May 6, 2021, all of the Solomon flow meters have been recovered with the attached UW supplemental RBR loggers.&nbsp; The loggers were be subjected to a final ice bath calibration test prior to data-download in New Zealand and all T/P data will be returned to UW via internet. The physical data loggers were then be returned to UW via air freight.</p> <p>The data in these Zenodo data archive files include all of the pre-cruise and post-cruise calibrations fro the RBR T/P loggers, the raw and calibrated data, and the locations of the stations.&nbsp; Also included are some infrastructure information including a multi-channel seismic profile showing that locations on the Hikurangi margin with known fault zones, and a published catalogue of earthquakes that occurred during the logger deployment period.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo48/100

TEAMx-PC22 (TEAMx pre-campaing 2022) - ACINN temperature and humidity logger data set from Nafingalm

<p><strong>ABSTRACT</strong></p> <p>This data set was collected with a network of Onset HOBO temperature and humidity data loggers of <a href="http://acinn.uibk.ac.at/">ACINN</a> at the Nafingalm, Austria, in summer 2022 in the framework of the TEAMx pre-campaign 2022 (TEAMx-PC22). The aim of TEAMx-PC22 was to test new instruments, new instrument configurations and new measurement sites to support the planning of the main TEAMx observational campaign (TOC) in 2024/2025. More details about TEAMx can be found at <a href="http://www.teamx-programme.org">http://www.teamx-programme.org</a> as well as in Serafin et al. (2020) and in Rotach et al. (2022).</p> <p><strong>DATA SET DESCRIPTION</strong></p> <p><strong>1. Location</strong></p> <p>The temperature and humidity data loggers were located at five different sites at the Nafingalm in the Weer Valley, Tyrol, Austria (see table below). Four sites were over land and one in a small lake, the so-called Nafingsee. At one of these sites an automatic weather station (AWS) was operated (see <a href="https://doi.org/10.5281/zenodo.8172308">DOI: 10.5281/zenodo.8172308</a>). Logger H06 to H32 measured air temperature and air humidity at three sites on two levels (2 and about 0.3 m above ground level) and at one site on one level (2 m above ground level). Logger T01 and T02 measured land surface temperature at two sites. Logger T03 and T04 measured lake water temperature at one site on two levels (0.3 and 1.0 m below lake level). Each logger was equipped with a single temperature/humidity probe. Hence, for each level a separate logger had to be used. Therefore, each data file provided here contains data from a single logger at a single site on a single level. For reasons of redundancy, two sites were equipped with two loggers at 2 m above ground level (main logger and backup logger) in order to fill data gaps in the event of a failure of the main logger. However, data gaps did not occur.</p> <table> <thead> <tr> <th scope="col">Location</th> <th scope="col">Latitude (&deg;N)</th> <th scope="col">Longitude (&deg;E)</th> <th scope="col">Altitude (m MSL)</th> <th scope="col">Parameters</th> <th scope="col">Logger names</th> </tr> </thead> <tbody> <tr> <td>north of the lake at the valley floor at the AWS</td> <td>47.215141</td> <td>11.712628</td> <td>1928</td> <td>air temperature and air humidity on two levels</td> <td>H32 (upper), H26 (lower)</td> </tr> <tr> <td>south of the lake at the valley floor</td> <td>47.212760</td> <td>11.713030</td> <td>1921</td> <td>air temperature and air humidity on two levels, surface temperature</td> <td>H06 (upper main), H07 (lower), H28 (upper backup), T01 (surface)</td> </tr> <tr> <td>in the lake at the valley floor</td> <td>47.213603</td> <td>11.712433</td> <td>1921</td> <td>lake water temperature on two levels</td> <td>T03 (upper), T04 (lower)</td> </tr> <tr> <td>on the slope</td> <td>47.208150</td> <td>11.721200</td> <td>2241</td> <td>air temperature and air humidity on two levels, surface temperature</td> <td>H08 (upper main), H09 (lower), H11 (upper backup), T02 (surface)</td> </tr> <tr> <td>at the peak</td> <td>47.202940</td> <td>11.730160</td> <td>2531</td> <td>air temperature and air humidity on one level</td> <td>H21</td> </tr> </tbody> </table> <p><strong>2. Period</strong></p> <p>The TEAMx-PC22 lasted from mid-May 2022 to early October 2022. However, the temperature and humidity logger data set provided here contains the period from 16 June to 12 September 2022. The time series has a measurement interval of 5 minutes and, depending on the parameter, contains both mean values and instantaneous values.</p> <p><strong>3. Instrument details</strong></p> <p>Air temperature and air humidity were measured with Onset HOBO MX2302 temperature and humidity probes mounted on a pole above the surface in a RS3-B naturally aspirated multi-plate radiation shield. Land surface temperature was measured with Onset HOBO MX2201 temperature probes mounted on a pole at the surface under a home-made double-plate radiation shield. Lake water temperature was measured with Onset HOBO MX2201 temperature probes mounted on a rope under a buoy. Despite the double-plate radiation shield used to protect the land surface temperature measurements from radiation errors, such errors have to be expected, especially at low solar elevation angle in the morning and late afternoon. Therefore, use the land surface temperature data with caution. A detailed description of the sensors and parameters is provided as part of the netCDF file metadata as well as in a PDF file containing the netCDF header extracted with the Linux command ncdump -h.</p> <p><strong>4. Data file</strong></p> <p>The data set is provided in multiple netCDF files together with a data description in multiple PDF files, one for each data logger (teamx_pc22_aws_nafingalm_HOBOID.nc and teamx_pc22_aws_nafingalm_HOBOID_ncdump_output.pdf). Here, HOBOID represents the logger name (see table above).</p> <p><strong>5. Analysis</strong></p> <p>A first analysis of the data was performed in a Bachor thesis (Viebahn, 2023), which is available upon request from the author of this data set.</p> <p><strong>6. Contact</strong></p> <p>Contact alexander.gohm(at)uibk.ac.at for any questions regarding the data set.</p> <p><strong>7. References</strong></p> <p>Rotach, M. W., S. Serafin, H. C. Ward, M. Arpagaus, I. Colfescu, J. Cuxart, S. F. J. D. Wekker, V. Grubi&scaron;ic, N. Kalthoff, T. Karl, D. J. Kirshbaum, M. Lehner, S. Mobbs, A. Paci, E. Palazzi, A. Bailey, J.&nbsp; Schmidli, C. Wittmann, G. Wohlfahrt, D. Zardi, 2022: A collaborative effort to better understand, measure, and model atmospheric exchange processes over mountains. <em>Bulletin of the American Meteorological Society</em>, <strong>103</strong>, E1282&ndash;E1295. <a href="https://doi.org/10.1175/bams-d-21-0232.1">https://doi.org/10.1175/bams-d-21-0232.1</a></p> <p>Serafin, S., M. W. Rotach, M. Arpagaus, I. Colfescu, J. Cuxart, S. F. J. De Wekker, M. Evans, V. Grubi&scaron;ić, N. Kalthoff, T. Karl, D. J. Kirshbaum, M. Lehner, S. Mobbs, A. Paci, E. Palazzi, A. Raudzens Bailey, J. Schmidli, G. Wohlfahrt, B. Zardi, 2020: <em>Multi-scale transport and exchange processes in the atmosphere over mountains: Programme and experiment</em>. Innsbruck University Press. <a href="https://doi.org/10.15203/99106-003-1">https://doi.org/10.15203/99106-003-1</a></p> <p>Viebahn, T., 2023: <em>Windregime und Stabilit&auml;t in einem alpinen Seitental im Sommer: Eine Standortcharakterisierung im Rahmen der TEAMx Vorkampagne 2022</em>. Bachlor thesis, University of Innsbruck, 75 pp.</p>

opencc-by-4.0Aug 2023View details →
edi48/100

Temperature logger deployment methods and irradiance-biased temperature data, King Abdullah University of Science and Technology, Red Sea, 2023.

Solar irradiance can offset the temperature recorded by underwater sensing instruments (aka "loggers"). We collected temperature and PAR (photosynthetic active radiation) data during two short-term in situ deployments on a shallow fringing reef adjacent to the King Abdullah University of Science and Technology (KAUST) in the Red Sea. The first deployment quantified the measurement bias due to solar heating over five days in February 2023 while the second compared the effect of different shading methods on logger performance over 24 hours in June 2023. We also recorded temperature in a controlled calibration bath in the lab with ten of the most widely used loggers to further assess their accuracy, response time, and intra-logger variation. Finally, to understand current practices of measuring temperature on coral reefs, we summarized logger deployment method details from a literature review of coral reef studies published from 2013 to 2022. Such details included how often loggers recorded the temperature, the depth where loggers were deployed, and whether the authors reported shading or protecting their loggers. This data package is complete and part of a larger project that aims to develop an instrument deployment framework for restoration-based reef monitoring, which includes instrument recommendations and deployment guidelines.

openCC0Oct 2024View details →
edi48/100

CCE LTER process cruise, in the California Current region, event log records including date, time, position and activity for use in post-cruise data integration based on co-sampling indexes. From 2006 to 2019 CCE LTER used a locally developed event logging system. During P2107, CCE LTER started to utilize the R2R Event Logger on UNOL ships, 2006 - 2024 (ongoing).

The event logger program developed and maintained by the California Cooperative Oceanic Fisheries Investigations, SIO, program is used aboard CCE LTER process cruises to create indexes with temporal, spatial and activity information for post-cruise data integration. The event log is configured aboard the ship for the recording of sampling events by both ship crew personnel on the bridge, and research personnel in the lab. The event log is processed post-cruise to correct for various errors.

openCC0Aug 2025View details →
edi48/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE1_Hydro (Sapelo River near Eulonia, Georgia) from 01-Jan-2003 through 31-Dec-2003

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE1_Hydro (Sapelo River near Eulonia, Georgia) from 01-Jan-2003 through 31-Dec-2003. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →
edi48/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE2_Hydro (Four Mile Island, Georgia) from 01-Jan-2003 through 31-Dec-2003

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE2_Hydro (Four Mile Island, Georgia) from 01-Jan-2003 through 31-Dec-2003. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →
edi48/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE3_Hydro (Sapelo Sound north of Sapelo Island, Georgia) from 01-Jan-2003 through 06-Nov-2003

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE3_Hydro (Sapelo Sound north of Sapelo Island, Georgia) from 01-Jan-2003 through 06-Nov-2003. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →
edi48/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 01-Jan-2003 through 31-Dec-2003

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 01-Jan-2003 through 31-Dec-2003. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →
edi48/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2003 through 31-Dec-2003

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2003 through 31-Dec-2003. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →
edi48/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE8_Hydro (Altamaha River near Aligator Creek, Georgia) from 01-Jan-2003 through 31-Dec-2003

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE8_Hydro (Altamaha River near Aligator Creek, Georgia) from 01-Jan-2003 through 31-Dec-2003. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →
edi48/100

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE9_Hydro (Altamaha River near Rockdedundy Island, Georgia) from 01-Jan-2003 through 31-Dec-2003

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE9_Hydro (Altamaha River near Rockdedundy Island, Georgia) from 01-Jan-2003 through 31-Dec-2003. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

openCustomJan 2020View details →

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Allen Brain Atlas

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allen-brain-atlas
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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

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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